Skip to content

Instantly share code, notes, and snippets.

@TomNicholas

TomNicholas/diagnostics-worker-sat.ipynb

Created October 18, 2022 23:00
Show Gist options
  • Save TomNicholas/fe9c6b6c415d4fa42523216c87e2fff2 to your computer and use it in GitHub Desktop.
Save TomNicholas/fe9c6b6c415d4fa42523216c87e2fff2 to your computer and use it in GitHub Desktop.
Download ZIP
Testing dask distributed worker saturation option on xGCM vorticity calc
Display the source blob
Display the rendered blob
Raw
diagnostics-worker-sat.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "8f74eaf8-5f0d-41d0-af3c-f4f265ed63c5",
"metadata": {},
"source": [
"# xGCM vorticity calculation"
]
},
{
"cell_type": "markdown",
"id": "5da8a3de-5207-4d92-a7d0-aae9b291752c",
"metadata": {},
"source": [
"## Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b6b9f575-d7e8-4e19-b636-70694b5087bf",
"metadata": {},
"outputs": [],
"source": [
"import dask"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "726db059-81e5-4cfd-b802-97d52ab8e613",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2022.10.0'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import distributed\n",
"\n",
"distributed.__version__"
]
},
{
"cell_type": "markdown",
"id": "cc6a9ba7-8a4c-4273-b531-7b9e427498f2",
"metadata": {},
"source": [
"## Get LLC4320 data (high-resolution ocean surface)"
]
},
{
"cell_type": "markdown",
"id": "3c05f1a6-8c73-419f-8980-5270f1426992",
"metadata": {},
"source": [
"Dataset is hosted on pangeo data catalog - https://catalog.pangeo.io/browse/master/ocean/LLC4320/"
]
},
{
"cell_type": "markdown",
"id": "2b21f401-f9d0-4160-a043-90a7dad3b0d0",
"metadata": {},
"source": [
"Set up GCFS to access requester-pays data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1d9a50c3-d690-4347-a149-ea552ffe349a",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import gcsfs"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8bb21536-357e-447e-aab6-bead8fbab419",
"metadata": {},
"outputs": [],
"source": [
"with open('../pangeo-forge-4967-3ebd505f8a5b.json') as token_file:\n",
" token = json.load(token_file)\n",
"gcs = gcsfs.GCSFileSystem(token=token)"
]
},
{
"cell_type": "markdown",
"id": "215e797a-a3e6-42e4-8d82-e4814c0c048f",
"metadata": {},
"source": [
"Open all the data we need"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cd9dfa28-38b6-4e3c-9910-8cdd7123f6ef",
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "2c2faacc-8ce0-4871-ae74-f4cf3c26c905",
"metadata": {},
"outputs": [],
"source": [
"chunks = 'auto' # set chunks to same as in Zarr store"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "6c0edba0-6e4c-448b-87a7-8abd1e6b8769",
"metadata": {},
"outputs": [],
"source": [
"all_data_vars = {}"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "f9a3a545-2f52-4f10-9ebc-6a2314d41da4",
"metadata": {},
"outputs": [],
"source": [
"ds_SSU = xr.open_dataset(\n",
" \"gs://pangeo-ecco-llc4320/ssu\", \n",
" engine=\"zarr\", \n",
" storage_options={'requester_pays': True, 'token': gcs.credentials.token, 'project': 'pangeo-forge-4967', 'project_id': 'pangeo-forge-4967'}, \n",
" chunks=chunks, \n",
" consolidated=True, \n",
" inline_array=True,\n",
")\n",
"all_data_vars['SSU'] = ds_SSU"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "1260e579-1e9b-4bc9-bd9e-f0f3bdb23dbe",
"metadata": {},
"outputs": [],
"source": [
"ds_SSV = xr.open_dataset(\n",
" \"gs://pangeo-ecco-llc4320/ssv\", \n",
" engine=\"zarr\", \n",
" storage_options={'requester_pays': True, 'token': gcs.credentials.token, 'project': 'pangeo-forge-4967', 'project_id': 'pangeo-forge-4967'}, \n",
" chunks=chunks, \n",
" consolidated=True, \n",
" inline_array=True,\n",
")\n",
"all_data_vars['SSV'] = ds_SSV"
]
},
{
"cell_type": "markdown",
"id": "78db5a19-c0a0-4032-a5d7-3c465a8e4aa9",
"metadata": {},
"source": [
"Also need the grid for xGCM"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d2b1e487-5cc3-414c-9967-4a4231fa970c",
"metadata": {},
"outputs": [],
"source": [
"# Open grid data\n",
"ds_grid = xr.open_dataset(\n",
" \"gs://pangeo-ecco-llc4320/grid\", \n",
" engine=\"zarr\", \n",
" storage_options={'requester_pays': True, 'token': gcs.credentials.token, 'project': 'pangeo-forge-4967', 'project_id': 'pangeo-forge-4967'}, \n",
" chunks=chunks, \n",
" consolidated=True, \n",
" inline_array=True,\n",
")\n",
"ds_grid = ds_grid.drop(['k_p1','Zp1', 'Zl', 'PHrefF', 'drC', 'k_l', 'k', 'k_u'])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "ad48611d-3c41-41f6-bc1b-673150c46841",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (face: 13, j: 4320, i: 4320, j_g: 4320, i_g: 4320, time: 9030)\n",
"Coordinates: (12/29)\n",
" CS (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" Depth (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" PHrefC float32 ...\n",
" SN (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" XC (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" XG (face, j_g, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" ... ...\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" rA (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAs (face, j_g, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAw (face, j, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAz (face, j_g, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2012-09-23T05:00:00\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d4aded3d-23b5-4235-b203-6d1c3dac002e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d4aded3d-23b5-4235-b203-6d1c3dac002e' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>face</span>: 13</li><li><span class='xr-has-index'>j</span>: 4320</li><li><span class='xr-has-index'>i</span>: 4320</li><li><span class='xr-has-index'>j_g</span>: 4320</li><li><span class='xr-has-index'>i_g</span>: 4320</li><li><span class='xr-has-index'>time</span>: 9030</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e5cb7f77-14ea-4378-ad1b-621196ca34f6' class='xr-section-summary-in' type='checkbox' ><label for='section-e5cb7f77-14ea-4378-ad1b-621196ca34f6' class='xr-section-summary' >Coordinates: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CS</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-e8e966f9-6cdc-45f6-a703-2e79d1290a31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8e966f9-6cdc-45f6-a703-2e79d1290a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15f9de79-40ed-461d-b420-257efe83e04b' class='xr-var-data-in' type='checkbox'><label for='data-15f9de79-40ed-461d-b420-257efe83e04b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleCS</dd><dt><span>standard_name :</span></dt><dd>Cos of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-4f2cc89f-7b8a-48ba-8912-4075c0a92fe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f2cc89f-7b8a-48ba-8912-4075c0a92fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d94ed1-cec2-4287-8302-66d3989ccd97' class='xr-var-data-in' type='checkbox'><label for='data-c4d94ed1-cec2-4287-8302-66d3989ccd97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>XC YC</dd><dt><span>long_name :</span></dt><dd>ocean depth</dd><dt><span>standard_name :</span></dt><dd>ocean_depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHrefC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ecaefda-e2bb-44c8-83ad-00a5bd0b061d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ecaefda-e2bb-44c8-83ad-00a5bd0b061d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d11f2e-0935-44d5-8200-cedc0968bd50' class='xr-var-data-in' type='checkbox'><label for='data-e1d11f2e-0935-44d5-8200-cedc0968bd50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference Hydrostatic Pressure</dd><dt><span>standard_name :</span></dt><dd>cell_reference_pressure</dd><dt><span>units :</span></dt><dd>m2 s-2</dd></dl></div><div class='xr-var-data'><pre>array(15.4017, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SN</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-393f39a4-751c-4678-b3f7-c8a860c8c457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-393f39a4-751c-4678-b3f7-c8a860c8c457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650094ad-7f82-4550-b5a0-830b0a1c7554' class='xr-var-data-in' type='checkbox'><label for='data-650094ad-7f82-4550-b5a0-830b0a1c7554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleSN</dd><dt><span>standard_name :</span></dt><dd>Sin of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-c7cebc95-cf73-43ee-b5ba-bfe4be516ee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7cebc95-cf73-43ee-b5ba-bfe4be516ee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cececcc-630a-4a39-b7e1-5a3ae9e17c76' class='xr-var-data-in' type='checkbox'><label for='data-7cececcc-630a-4a39-b7e1-5a3ae9e17c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-d1efcfed-eb2e-48f7-8a6c-7a9c0a2e9b00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1efcfed-eb2e-48f7-8a6c-7a9c0a2e9b00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae64bdad-761d-4909-9d82-56bef0873277' class='xr-var-data-in' type='checkbox'><label for='data-ae64bdad-761d-4909-9d82-56bef0873277' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-bb4cc2e1-d2fd-4a83-a731-01ae7861ac6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb4cc2e1-d2fd-4a83-a731-01ae7861ac6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e062f144-812d-4705-9b69-5172c223aa53' class='xr-var-data-in' type='checkbox'><label for='data-e062f144-812d-4705-9b69-5172c223aa53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-778c6913-35db-4ceb-bfca-88b5db0317a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-778c6913-35db-4ceb-bfca-88b5db0317a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-300f341c-dac2-4537-9835-20d3702e92cf' class='xr-var-data-in' type='checkbox'><label for='data-300f341c-dac2-4537-9835-20d3702e92cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be8117a8-2750-411e-8446-4d5dcb5dc853' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be8117a8-2750-411e-8446-4d5dcb5dc853' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05a3d0dd-ad2d-4df9-99b3-8076ad39735e' class='xr-var-data-in' type='checkbox'><label for='data-05a3d0dd-ad2d-4df9-99b3-8076ad39735e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of cell center</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-1.57, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zu</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a6f5ad4-ebad-4794-bc48-9b288cbe9148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a6f5ad4-ebad-4794-bc48-9b288cbe9148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b86b174-f2a4-4056-814f-b29335daf689' class='xr-var-data-in' type='checkbox'><label for='data-1b86b174-f2a4-4056-814f-b29335daf689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of lower cell interface</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth_at_lower_w_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-2.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drF</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70379af0-81b3-4494-9664-9d11bd25b6ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70379af0-81b3-4494-9664-9d11bd25b6ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00e9db0f-ac96-4682-ae76-62ee297d8074' class='xr-var-data-in' type='checkbox'><label for='data-00e9db0f-ac96-4682-ae76-62ee297d8074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell z size</dd><dt><span>standard_name :</span></dt><dd>cell_z_size</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(1.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxC</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-d0ebca92-a0ec-4634-9d5d-66aa254536d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0ebca92-a0ec-4634-9d5d-66aa254536d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d784b06b-73e8-4760-b51b-179c207dc759' class='xr-var-data-in' type='checkbox'><label for='data-d784b06b-73e8-4760-b51b-179c207dc759' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxG</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-51a7c7d4-57e8-4ecb-9655-6f0b9aa3bc78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51a7c7d4-57e8-4ecb-9655-6f0b9aa3bc78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-565e850f-2ba5-47e6-85e6-1b12ed1fab35' class='xr-var-data-in' type='checkbox'><label for='data-565e850f-2ba5-47e6-85e6-1b12ed1fab35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyC</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-2641c3eb-bfc0-449c-a953-1ae5235875d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2641c3eb-bfc0-449c-a953-1ae5235875d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c125c001-9a54-455a-9a08-3f9658fd268d' class='xr-var-data-in' type='checkbox'><label for='data-c125c001-9a54-455a-9a08-3f9658fd268d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyG</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-df3c84b1-d962-4c37-a86e-bcd07c3111db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df3c84b1-d962-4c37-a86e-bcd07c3111db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34d5352e-8913-45f8-a569-3f9797cbcea3' class='xr-var-data-in' type='checkbox'><label for='data-34d5352e-8913-45f8-a569-3f9797cbcea3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>face</span></div><div class='xr-var-dims'>(face)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-afdba2fa-9ee0-47d6-82b1-70c5378dc6f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afdba2fa-9ee0-47d6-82b1-70c5378dc6f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73f76bb4-09c4-4558-a97f-7cd1f5623bdb' class='xr-var-data-in' type='checkbox'><label for='data-73f76bb4-09c4-4558-a97f-7cd1f5623bdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>face_index</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-dd2d5303-9b43-4598-89ca-d75cbb604779' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd2d5303-9b43-4598-89ca-d75cbb604779' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c810ace-d50d-4356-b8e5-1320776b6509' class='xr-var-data-in' type='checkbox'><label for='data-7c810ace-d50d-4356-b8e5-1320776b6509' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacS</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-4ca69fdc-d5a2-4f5b-864c-bbfc0ddf3f6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ca69fdc-d5a2-4f5b-864c-bbfc0ddf3f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e452114-c574-4409-8987-05cad13621e2' class='xr-var-data-in' type='checkbox'><label for='data-1e452114-c574-4409-8987-05cad13621e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_v_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacW</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-43b1ec5b-deb1-4554-803f-4454bf6663c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43b1ec5b-deb1-4554-803f-4454bf6663c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdf1b466-47c3-4189-b96b-d3bf4ecbe16d' class='xr-var-data-in' type='checkbox'><label for='data-cdf1b466-47c3-4189-b96b-d3bf4ecbe16d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_u_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-4d4ba670-3b16-4be6-9f08-2e0df805bcaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d4ba670-3b16-4be6-9f08-2e0df805bcaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd4350c8-f977-42a5-bb05-c2a117eb6a9b' class='xr-var-data-in' type='checkbox'><label for='data-fd4350c8-f977-42a5-bb05-c2a117eb6a9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index</dd><dt><span>swap_dim :</span></dt><dd>XC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i_g</span></div><div class='xr-var-dims'>(i_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-272763c8-6ef4-413b-a0a9-ea9c54336bfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-272763c8-6ef4-413b-a0a9-ea9c54336bfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b2007d-a2da-4bea-bfc6-aff57d651ebd' class='xr-var-data-in' type='checkbox'><label for='data-43b2007d-a2da-4bea-bfc6-aff57d651ebd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>x-dimension of the u grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index_at_u_location</dd><dt><span>swap_dim :</span></dt><dd>XG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9030,), meta=np.ndarray&gt;</div><input id='attrs-8506704a-0b0f-41e2-bcc9-06f08ebe30c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8506704a-0b0f-41e2-bcc9-06f08ebe30c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b88fe52-acfd-4d53-82a2-17c17369f688' class='xr-var-data-in' type='checkbox'><label for='data-8b88fe52-acfd-4d53-82a2-17c17369f688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 70.55 kiB </td>\n",
" <td> 70.55 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (9030,) </td>\n",
" <td> (9030,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> int64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9030</text>\n",
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-005fc3df-823d-4ac9-9247-4bb6c727f44c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-005fc3df-823d-4ac9-9247-4bb6c727f44c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e508db1-9dea-4f91-836f-d6fd9678d10c' class='xr-var-data-in' type='checkbox'><label for='data-3e508db1-9dea-4f91-836f-d6fd9678d10c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index</dd><dt><span>swap_dim :</span></dt><dd>YC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j_g</span></div><div class='xr-var-dims'>(j_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-f4e18434-c2cd-4ff2-8b80-ba53fc51ecb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e18434-c2cd-4ff2-8b80-ba53fc51ecb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0edba96f-1515-4874-8808-00b648ebdff9' class='xr-var-data-in' type='checkbox'><label for='data-0edba96f-1515-4874-8808-00b648ebdff9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>y-dimension of the v grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index_at_v_location</dd><dt><span>swap_dim :</span></dt><dd>YG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rA</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-3443c37d-1f8f-48e7-a9dd-1db6f13ff999' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3443c37d-1f8f-48e7-a9dd-1db6f13ff999' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d84655b-dbbf-4a20-a73a-ff15c255a052' class='xr-var-data-in' type='checkbox'><label for='data-4d84655b-dbbf-4a20-a73a-ff15c255a052' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAs</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-ba67b476-1b26-4269-a991-f0f40076b641' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba67b476-1b26-4269-a991-f0f40076b641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4add234-ef54-4f09-80fc-3a0c067e0f37' class='xr-var-data-in' type='checkbox'><label for='data-f4add234-ef54-4f09-80fc-3a0c067e0f37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_v_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAw</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-acabdc4b-c9f7-428a-a585-8104273b472c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acabdc4b-c9f7-428a-a585-8104273b472c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-241bb00d-213f-4458-a541-a1432bd752a8' class='xr-var-data-in' type='checkbox'><label for='data-241bb00d-213f-4458-a541-a1432bd752a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_u_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAz</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-4713f77f-d6db-4fab-a679-8c82c5488247' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4713f77f-d6db-4fab-a679-8c82c5488247' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-235da6db-14ef-41e4-95bf-b7a500a93085' class='xr-var-data-in' type='checkbox'><label for='data-235da6db-14ef-41e4-95bf-b7a500a93085' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_f_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-09-13 ... 2012-09-23T05:00:00</div><input id='attrs-e63bfed2-6193-4190-a95a-780860387c32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e63bfed2-6193-4190-a95a-780860387c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b06415cf-b91a-461f-9047-0f352914bfa6' class='xr-var-data-in' type='checkbox'><label for='data-b06415cf-b91a-461f-9047-0f352914bfa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-09-13T00:00:00.000000000&#x27;, &#x27;2011-09-13T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T02:00:00.000000000&#x27;, ..., &#x27;2012-09-23T03:00:00.000000000&#x27;,\n",
" &#x27;2012-09-23T04:00:00.000000000&#x27;, &#x27;2012-09-23T05:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21d5fd82-19a9-4504-8761-1eb1a5aacc6c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-21d5fd82-19a9-4504-8761-1eb1a5aacc6c' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e2a066d3-69ed-4258-ad89-7b4ad127c828' class='xr-section-summary-in' type='checkbox' checked><label for='section-e2a066d3-69ed-4258-ad89-7b4ad127c828' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks&#x27;, nz=None, ny=None, nx=None, default_dtype=dtype(&#x27;&gt;f4&#x27;), ignore_unknown_vars=True, chunks=None, endian=&#x27;&gt;&#x27;, swap_dims=False, grid_vars_to_coords=True, geometry=&#x27;llc&#x27;, calendar=&#x27;gregorian&#x27;, ref_date=None, delta_t=1, read_grid=True, prefix=None, iters=487152, grid_dir=&#x27;/data/scratch/rpa/LLC/llc_4320/run&#x27;, data_dir=&#x27;/data/scratch/rpa/LLC/llc_4320/run&#x27;)`</dd><dt><span>source :</span></dt><dd>MITgcm</dd><dt><span>title :</span></dt><dd>netCDF wrapper of MITgcm MDS binary data</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (face: 13, j: 4320, i: 4320, j_g: 4320, i_g: 4320, time: 9030)\n",
"Coordinates: (12/29)\n",
" CS (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" Depth (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" PHrefC float32 ...\n",
" SN (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" XC (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" XG (face, j_g, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" ... ...\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" rA (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAs (face, j_g, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAw (face, j, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAz (face, j_g, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2012-09-23T05:00:00\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method='smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_grid"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "c3b5644b-36ec-4491-a930-a6629dd4911a",
"metadata": {},
"outputs": [],
"source": [
"ds = xr.merge([*[var_ds for var_ds in all_data_vars.values()], ds_grid])\n",
"coords_to_keep = list(ds_grid.variables.keys()) + ['time']\n",
"ds = ds.set_coords(coords_to_keep)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "3be91d1f-b177-44dc-82fe-02980dc3bdc5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 9030, face: 13, j: 4320, i_g: 4320, j_g: 4320, i: 4320)\n",
"Coordinates: (12/29)\n",
" * face (face) int64 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
" * i_g (i_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j (j) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2012-09-23T05:00:00\n",
" * i (i) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" ... ...\n",
" hFacW (face, j, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" iter (time) int64 dask.array&lt;chunksize=(9030,), meta=np.ndarray&gt;\n",
" rA (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAs (face, j_g, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAw (face, j, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAz (face, j_g, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
"Data variables:\n",
" U (time, face, j, i_g) float32 dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;\n",
" V (time, face, j_g, i) float32 dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6a5404d6-0d58-47a8-b9f8-6b8e64322fa0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a5404d6-0d58-47a8-b9f8-6b8e64322fa0' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 9030</li><li><span class='xr-has-index'>face</span>: 13</li><li><span class='xr-has-index'>j</span>: 4320</li><li><span class='xr-has-index'>i_g</span>: 4320</li><li><span class='xr-has-index'>j_g</span>: 4320</li><li><span class='xr-has-index'>i</span>: 4320</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3a4daa10-a679-42ef-bb13-ed78c1e09e2e' class='xr-section-summary-in' type='checkbox' ><label for='section-3a4daa10-a679-42ef-bb13-ed78c1e09e2e' class='xr-section-summary' >Coordinates: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>face</span></div><div class='xr-var-dims'>(face)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-02c1ae4c-f40e-43e0-86b5-31c6f7c69ed5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02c1ae4c-f40e-43e0-86b5-31c6f7c69ed5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e2c69d1-dc97-46ab-93d9-3c2a33bf6361' class='xr-var-data-in' type='checkbox'><label for='data-8e2c69d1-dc97-46ab-93d9-3c2a33bf6361' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>face_index</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i_g</span></div><div class='xr-var-dims'>(i_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-d3ef0c06-c565-4cd0-93a2-eb18b63cb9c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3ef0c06-c565-4cd0-93a2-eb18b63cb9c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc5f22ca-11c9-458a-84eb-0ba4b507cdd4' class='xr-var-data-in' type='checkbox'><label for='data-fc5f22ca-11c9-458a-84eb-0ba4b507cdd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>x-dimension of the u grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index_at_u_location</dd><dt><span>swap_dim :</span></dt><dd>XG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-eb3a08ba-4c0e-494a-a51e-a9cd0c8d9e20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb3a08ba-4c0e-494a-a51e-a9cd0c8d9e20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6335de4e-7b13-4d31-a9aa-41260a1ab9de' class='xr-var-data-in' type='checkbox'><label for='data-6335de4e-7b13-4d31-a9aa-41260a1ab9de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index</dd><dt><span>swap_dim :</span></dt><dd>YC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-09-13 ... 2012-09-23T05:00:00</div><input id='attrs-4b792038-2834-463a-9314-128ec01f28e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b792038-2834-463a-9314-128ec01f28e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a124b57e-565c-495d-b77a-942f69bcf1d7' class='xr-var-data-in' type='checkbox'><label for='data-a124b57e-565c-495d-b77a-942f69bcf1d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-09-13T00:00:00.000000000&#x27;, &#x27;2011-09-13T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T02:00:00.000000000&#x27;, ..., &#x27;2012-09-23T03:00:00.000000000&#x27;,\n",
" &#x27;2012-09-23T04:00:00.000000000&#x27;, &#x27;2012-09-23T05:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-34cb7923-5eeb-46e3-808e-3a24c5ce73be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34cb7923-5eeb-46e3-808e-3a24c5ce73be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3605a752-a943-4577-b4e8-d439558b8fbd' class='xr-var-data-in' type='checkbox'><label for='data-3605a752-a943-4577-b4e8-d439558b8fbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index</dd><dt><span>swap_dim :</span></dt><dd>XC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j_g</span></div><div class='xr-var-dims'>(j_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-abbf11b6-06a5-435a-a580-2b26a5e3cd9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abbf11b6-06a5-435a-a580-2b26a5e3cd9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0287e53e-74b5-497c-bba5-2b3a8f378070' class='xr-var-data-in' type='checkbox'><label for='data-0287e53e-74b5-497c-bba5-2b3a8f378070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>y-dimension of the v grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index_at_v_location</dd><dt><span>swap_dim :</span></dt><dd>YG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CS</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-86c0ba73-f055-43aa-a1db-2df5394f4dba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c0ba73-f055-43aa-a1db-2df5394f4dba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff5f473f-901d-4e47-a164-5e1788fb44fa' class='xr-var-data-in' type='checkbox'><label for='data-ff5f473f-901d-4e47-a164-5e1788fb44fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleCS</dd><dt><span>standard_name :</span></dt><dd>Cos of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-2e0af4c1-289e-4b26-a760-1acafecd3f7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e0af4c1-289e-4b26-a760-1acafecd3f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbf8123c-752e-4b0b-b62d-bd6b4c7149c8' class='xr-var-data-in' type='checkbox'><label for='data-dbf8123c-752e-4b0b-b62d-bd6b4c7149c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>XC YC</dd><dt><span>long_name :</span></dt><dd>ocean depth</dd><dt><span>standard_name :</span></dt><dd>ocean_depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHrefC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47243910-835b-4d61-a8ec-14efc1ef302d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47243910-835b-4d61-a8ec-14efc1ef302d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a04ebe0b-aa6b-4db7-8b60-8faabc710e4f' class='xr-var-data-in' type='checkbox'><label for='data-a04ebe0b-aa6b-4db7-8b60-8faabc710e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference Hydrostatic Pressure</dd><dt><span>standard_name :</span></dt><dd>cell_reference_pressure</dd><dt><span>units :</span></dt><dd>m2 s-2</dd></dl></div><div class='xr-var-data'><pre>array(15.4017, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SN</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-a80dd38e-730a-4c57-82f0-d5f77a8af98b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a80dd38e-730a-4c57-82f0-d5f77a8af98b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20f3c1b4-801f-487e-8923-e4c33e9d9116' class='xr-var-data-in' type='checkbox'><label for='data-20f3c1b4-801f-487e-8923-e4c33e9d9116' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleSN</dd><dt><span>standard_name :</span></dt><dd>Sin of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-f0ed8d68-26dc-4db5-844d-6313c36372d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0ed8d68-26dc-4db5-844d-6313c36372d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bad41b22-62b2-4f42-8ac1-e69190054346' class='xr-var-data-in' type='checkbox'><label for='data-bad41b22-62b2-4f42-8ac1-e69190054346' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-56482f58-299a-4ca8-be11-d5cd78472462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56482f58-299a-4ca8-be11-d5cd78472462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11c20f68-7287-452f-9163-42c60701016f' class='xr-var-data-in' type='checkbox'><label for='data-11c20f68-7287-452f-9163-42c60701016f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-738c9418-35ce-4fc6-a88d-b1b88c6119a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-738c9418-35ce-4fc6-a88d-b1b88c6119a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7e9e82c-a812-4f1c-97d4-2ec67c58a292' class='xr-var-data-in' type='checkbox'><label for='data-e7e9e82c-a812-4f1c-97d4-2ec67c58a292' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-1ca68f6f-a07a-4029-9263-59f97334d1ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ca68f6f-a07a-4029-9263-59f97334d1ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c14c77f-8a34-4ef5-bc93-918a30578fc8' class='xr-var-data-in' type='checkbox'><label for='data-4c14c77f-8a34-4ef5-bc93-918a30578fc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-642ab247-db91-4b9d-bd16-693566a4055d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-642ab247-db91-4b9d-bd16-693566a4055d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a381b805-d6e1-496d-a804-90ca7cfc300b' class='xr-var-data-in' type='checkbox'><label for='data-a381b805-d6e1-496d-a804-90ca7cfc300b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of cell center</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-1.57, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zu</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4ead848-ab35-4921-b3aa-8d6c93161211' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4ead848-ab35-4921-b3aa-8d6c93161211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f538dcf-03ef-495a-8c76-fac17148d3c1' class='xr-var-data-in' type='checkbox'><label for='data-5f538dcf-03ef-495a-8c76-fac17148d3c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of lower cell interface</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth_at_lower_w_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-2.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drF</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4316b05-f905-4666-a4ff-98e375be37d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4316b05-f905-4666-a4ff-98e375be37d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f19b3f0-2542-4184-8706-51e57dd246f2' class='xr-var-data-in' type='checkbox'><label for='data-5f19b3f0-2542-4184-8706-51e57dd246f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell z size</dd><dt><span>standard_name :</span></dt><dd>cell_z_size</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(1.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxC</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-3a97b951-0cc2-43c4-adf8-882d05d7acba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a97b951-0cc2-43c4-adf8-882d05d7acba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c663bd57-c558-42f4-a4c4-7d94d760c3b3' class='xr-var-data-in' type='checkbox'><label for='data-c663bd57-c558-42f4-a4c4-7d94d760c3b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxG</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-26e5d36b-0808-4198-9053-7d9f32998940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26e5d36b-0808-4198-9053-7d9f32998940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f7ecc8f-5888-4320-aaea-be935cbb39aa' class='xr-var-data-in' type='checkbox'><label for='data-7f7ecc8f-5888-4320-aaea-be935cbb39aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyC</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-84b787f3-7e69-40d4-973f-75f855e2ef84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84b787f3-7e69-40d4-973f-75f855e2ef84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4053c33d-90d3-4f1a-99f2-92ecf2a778ea' class='xr-var-data-in' type='checkbox'><label for='data-4053c33d-90d3-4f1a-99f2-92ecf2a778ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyG</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-649b6b04-3768-48c7-a39b-abc85de41870' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-649b6b04-3768-48c7-a39b-abc85de41870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84d99d90-709e-4e76-a740-db794cf696af' class='xr-var-data-in' type='checkbox'><label for='data-84d99d90-709e-4e76-a740-db794cf696af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-7b43e51c-01e0-40c3-8523-426653258cfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b43e51c-01e0-40c3-8523-426653258cfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f68ac1f-2c9a-4517-bf27-856e205cdab0' class='xr-var-data-in' type='checkbox'><label for='data-7f68ac1f-2c9a-4517-bf27-856e205cdab0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacS</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-91502680-63cd-41b5-b649-404dab5d6dcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91502680-63cd-41b5-b649-404dab5d6dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6265caa9-cb1f-42f0-9bd0-38ac9e87cda9' class='xr-var-data-in' type='checkbox'><label for='data-6265caa9-cb1f-42f0-9bd0-38ac9e87cda9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_v_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacW</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-9e0f147b-4a84-4df3-8e08-23259cb92788' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e0f147b-4a84-4df3-8e08-23259cb92788' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f075959b-78e9-4312-b8d7-132af084eba2' class='xr-var-data-in' type='checkbox'><label for='data-f075959b-78e9-4312-b8d7-132af084eba2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_u_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9030,), meta=np.ndarray&gt;</div><input id='attrs-b5673c5a-1e83-47d1-8a23-785e9e308ff8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5673c5a-1e83-47d1-8a23-785e9e308ff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84bcc5df-ed17-4636-977e-a888cc5824f4' class='xr-var-data-in' type='checkbox'><label for='data-84bcc5df-ed17-4636-977e-a888cc5824f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 70.55 kiB </td>\n",
" <td> 70.55 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (9030,) </td>\n",
" <td> (9030,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> int64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9030</text>\n",
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rA</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-dc9bdd7e-5aee-4c0f-8d29-1f76f3d22751' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc9bdd7e-5aee-4c0f-8d29-1f76f3d22751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c67117ba-2522-449d-9515-8ecf0298ec30' class='xr-var-data-in' type='checkbox'><label for='data-c67117ba-2522-449d-9515-8ecf0298ec30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAs</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-390902d9-8a75-4c68-8d63-51d33f7dd837' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-390902d9-8a75-4c68-8d63-51d33f7dd837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0efaa23-e637-4da0-a412-284c1a9132c2' class='xr-var-data-in' type='checkbox'><label for='data-c0efaa23-e637-4da0-a412-284c1a9132c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_v_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAw</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-20039bb0-6406-43af-9180-d735e8d4255a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20039bb0-6406-43af-9180-d735e8d4255a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b9ffa33-c511-4237-8643-65b2d1a8a0a8' class='xr-var-data-in' type='checkbox'><label for='data-0b9ffa33-c511-4237-8643-65b2d1a8a0a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_u_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAz</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-0a12c5ea-c219-4df3-b56e-d08a2e4535ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a12c5ea-c219-4df3-b56e-d08a2e4535ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ce5a971-e60c-49a5-9783-f276b04d0bc5' class='xr-var-data-in' type='checkbox'><label for='data-5ce5a971-e60c-49a5-9783-f276b04d0bc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_f_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdf6ca17-047f-40ed-8a1c-98dc18390b58' class='xr-section-summary-in' type='checkbox' checked><label for='section-fdf6ca17-047f-40ed-8a1c-98dc18390b58' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>U</span></div><div class='xr-var-dims'>(time, face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-423d1ace-a190-45a8-a7b0-f88bca9b1cd7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-423d1ace-a190-45a8-a7b0-f88bca9b1cd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03c39cd-f7a4-486f-aabf-a6e442a51fdf' class='xr-var-data-in' type='checkbox'><label for='data-b03c39cd-f7a4-486f-aabf-a6e442a51fdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.97 TiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (9030, 13, 4320, 4320) </td>\n",
" <td> (1, 1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 117390 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"502\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
" <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
" <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n",
" <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
" <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
" <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
" <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
" <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
" <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
" <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
" <line x1=\"41\" y1=\"0\" x2=\"41\" y2=\"25\" />\n",
" <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
" <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
" <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
" <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
" <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
" <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
" <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
" <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
" <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
" <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
" <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n",
" <line x1=\"86\" y1=\"0\" x2=\"86\" y2=\"25\" />\n",
" <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
" <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
" <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
" <line x1=\"101\" y1=\"0\" x2=\"101\" y2=\"25\" />\n",
" <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
" <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
" <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
" <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9030</text>\n",
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
"\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"204\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"190\" y1=\"57\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"57\" style=\"stroke-width:2\" />\n",
" <line x1=\"191\" y1=\"1\" x2=\"191\" y2=\"58\" />\n",
" <line x1=\"192\" y1=\"2\" x2=\"192\" y2=\"59\" />\n",
" <line x1=\"193\" y1=\"3\" x2=\"193\" y2=\"60\" />\n",
" <line x1=\"194\" y1=\"4\" x2=\"194\" y2=\"62\" />\n",
" <line x1=\"195\" y1=\"5\" x2=\"195\" y2=\"63\" />\n",
" <line x1=\"196\" y1=\"6\" x2=\"196\" y2=\"64\" />\n",
" <line x1=\"198\" y1=\"8\" x2=\"198\" y2=\"65\" />\n",
" <line x1=\"199\" y1=\"9\" x2=\"199\" y2=\"66\" />\n",
" <line x1=\"200\" y1=\"10\" x2=\"200\" y2=\"67\" />\n",
" <line x1=\"201\" y1=\"11\" x2=\"201\" y2=\"68\" />\n",
" <line x1=\"202\" y1=\"12\" x2=\"202\" y2=\"70\" />\n",
" <line x1=\"203\" y1=\"13\" x2=\"203\" y2=\"71\" />\n",
" <line x1=\"204\" y1=\"14\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"190.0,0.0 204.9485979497544,14.948597949754403 204.9485979497544,72.35723582350856 190.0,57.40863787375415\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"247\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"191\" y1=\"1\" x2=\"248\" y2=\"1\" />\n",
" <line x1=\"192\" y1=\"2\" x2=\"249\" y2=\"2\" />\n",
" <line x1=\"193\" y1=\"3\" x2=\"250\" y2=\"3\" />\n",
" <line x1=\"194\" y1=\"4\" x2=\"252\" y2=\"4\" />\n",
" <line x1=\"195\" y1=\"5\" x2=\"253\" y2=\"5\" />\n",
" <line x1=\"196\" y1=\"6\" x2=\"254\" y2=\"6\" />\n",
" <line x1=\"198\" y1=\"8\" x2=\"255\" y2=\"8\" />\n",
" <line x1=\"199\" y1=\"9\" x2=\"256\" y2=\"9\" />\n",
" <line x1=\"200\" y1=\"10\" x2=\"257\" y2=\"10\" />\n",
" <line x1=\"201\" y1=\"11\" x2=\"258\" y2=\"11\" />\n",
" <line x1=\"202\" y1=\"12\" x2=\"260\" y2=\"12\" />\n",
" <line x1=\"203\" y1=\"13\" x2=\"261\" y2=\"13\" />\n",
" <line x1=\"204\" y1=\"14\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"204\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"247\" y1=\"0\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"190.0,0.0 247.40863787375415,0.0 262.3572358235086,14.948597949754403 204.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"204\" y1=\"14\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"204\" y1=\"72\" x2=\"262\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"204\" y1=\"14\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
" <line x1=\"262\" y1=\"14\" x2=\"262\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"204.9485979497544,14.948597949754403 262.3572358235086,14.948597949754403 262.3572358235086,72.35723582350856 204.9485979497544,72.35723582350856\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"233.652917\" y=\"92.357236\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"282.357236\" y=\"43.652917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,282.357236,43.652917)\">4320</text>\n",
" <text x=\"187.474299\" y=\"84.882937\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,187.474299,84.882937)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-746d8546-ecdb-4abd-a12f-f63ad9b3e6de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-746d8546-ecdb-4abd-a12f-f63ad9b3e6de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b3a554-3613-4c0f-8fa5-eeb049ed7f98' class='xr-var-data-in' type='checkbox'><label for='data-45b3a554-3613-4c0f-8fa5-eeb049ed7f98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 7.97 TiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (9030, 13, 4320, 4320) </td>\n",
" <td> (1, 1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 117390 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"502\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
" <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
" <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n",
" <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
" <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
" <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
" <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
" <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
" <line x1=\"33\" y1=\"0\" x2=\"33\" y2=\"25\" />\n",
" <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n",
" <line x1=\"41\" y1=\"0\" x2=\"41\" y2=\"25\" />\n",
" <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n",
" <line x1=\"48\" y1=\"0\" x2=\"48\" y2=\"25\" />\n",
" <line x1=\"52\" y1=\"0\" x2=\"52\" y2=\"25\" />\n",
" <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n",
" <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"25\" />\n",
" <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n",
" <line x1=\"67\" y1=\"0\" x2=\"67\" y2=\"25\" />\n",
" <line x1=\"71\" y1=\"0\" x2=\"71\" y2=\"25\" />\n",
" <line x1=\"74\" y1=\"0\" x2=\"74\" y2=\"25\" />\n",
" <line x1=\"78\" y1=\"0\" x2=\"78\" y2=\"25\" />\n",
" <line x1=\"82\" y1=\"0\" x2=\"82\" y2=\"25\" />\n",
" <line x1=\"86\" y1=\"0\" x2=\"86\" y2=\"25\" />\n",
" <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"25\" />\n",
" <line x1=\"93\" y1=\"0\" x2=\"93\" y2=\"25\" />\n",
" <line x1=\"97\" y1=\"0\" x2=\"97\" y2=\"25\" />\n",
" <line x1=\"101\" y1=\"0\" x2=\"101\" y2=\"25\" />\n",
" <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"25\" />\n",
" <line x1=\"108\" y1=\"0\" x2=\"108\" y2=\"25\" />\n",
" <line x1=\"112\" y1=\"0\" x2=\"112\" y2=\"25\" />\n",
" <line x1=\"116\" y1=\"0\" x2=\"116\" y2=\"25\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9030</text>\n",
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
"\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"204\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"190\" y1=\"57\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"190\" y2=\"57\" style=\"stroke-width:2\" />\n",
" <line x1=\"191\" y1=\"1\" x2=\"191\" y2=\"58\" />\n",
" <line x1=\"192\" y1=\"2\" x2=\"192\" y2=\"59\" />\n",
" <line x1=\"193\" y1=\"3\" x2=\"193\" y2=\"60\" />\n",
" <line x1=\"194\" y1=\"4\" x2=\"194\" y2=\"62\" />\n",
" <line x1=\"195\" y1=\"5\" x2=\"195\" y2=\"63\" />\n",
" <line x1=\"196\" y1=\"6\" x2=\"196\" y2=\"64\" />\n",
" <line x1=\"198\" y1=\"8\" x2=\"198\" y2=\"65\" />\n",
" <line x1=\"199\" y1=\"9\" x2=\"199\" y2=\"66\" />\n",
" <line x1=\"200\" y1=\"10\" x2=\"200\" y2=\"67\" />\n",
" <line x1=\"201\" y1=\"11\" x2=\"201\" y2=\"68\" />\n",
" <line x1=\"202\" y1=\"12\" x2=\"202\" y2=\"70\" />\n",
" <line x1=\"203\" y1=\"13\" x2=\"203\" y2=\"71\" />\n",
" <line x1=\"204\" y1=\"14\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"190.0,0.0 204.9485979497544,14.948597949754403 204.9485979497544,72.35723582350856 190.0,57.40863787375415\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"247\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"191\" y1=\"1\" x2=\"248\" y2=\"1\" />\n",
" <line x1=\"192\" y1=\"2\" x2=\"249\" y2=\"2\" />\n",
" <line x1=\"193\" y1=\"3\" x2=\"250\" y2=\"3\" />\n",
" <line x1=\"194\" y1=\"4\" x2=\"252\" y2=\"4\" />\n",
" <line x1=\"195\" y1=\"5\" x2=\"253\" y2=\"5\" />\n",
" <line x1=\"196\" y1=\"6\" x2=\"254\" y2=\"6\" />\n",
" <line x1=\"198\" y1=\"8\" x2=\"255\" y2=\"8\" />\n",
" <line x1=\"199\" y1=\"9\" x2=\"256\" y2=\"9\" />\n",
" <line x1=\"200\" y1=\"10\" x2=\"257\" y2=\"10\" />\n",
" <line x1=\"201\" y1=\"11\" x2=\"258\" y2=\"11\" />\n",
" <line x1=\"202\" y1=\"12\" x2=\"260\" y2=\"12\" />\n",
" <line x1=\"203\" y1=\"13\" x2=\"261\" y2=\"13\" />\n",
" <line x1=\"204\" y1=\"14\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"190\" y1=\"0\" x2=\"204\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"247\" y1=\"0\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"190.0,0.0 247.40863787375415,0.0 262.3572358235086,14.948597949754403 204.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"204\" y1=\"14\" x2=\"262\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"204\" y1=\"72\" x2=\"262\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"204\" y1=\"14\" x2=\"204\" y2=\"72\" style=\"stroke-width:2\" />\n",
" <line x1=\"262\" y1=\"14\" x2=\"262\" y2=\"72\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"204.9485979497544,14.948597949754403 262.3572358235086,14.948597949754403 262.3572358235086,72.35723582350856 204.9485979497544,72.35723582350856\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"233.652917\" y=\"92.357236\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"282.357236\" y=\"43.652917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,282.357236,43.652917)\">4320</text>\n",
" <text x=\"187.474299\" y=\"84.882937\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,187.474299,84.882937)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f88dc4e-1c49-43fb-813f-d4cd20c2d9ac' class='xr-section-summary-in' type='checkbox' checked><label for='section-4f88dc4e-1c49-43fb-813f-d4cd20c2d9ac' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks&#x27;, nz=None, ny=None, nx=None, default_dtype=dtype(&#x27;&gt;f4&#x27;), ignore_unknown_vars=True, chunks=None, endian=&#x27;&gt;&#x27;, swap_dims=None, grid_vars_to_coords=True, geometry=&#x27;llc&#x27;, calendar=&#x27;gregorian&#x27;, ref_date=None, delta_t=25.0, read_grid=True, prefix=None, iters=[10368], grid_dir=&#x27;/pleiades/u/dmenemen/llc_4320/grid/&#x27;, data_dir=&#x27;/pleiades/u/dmenemen/llc_4320/MITgcm/run/&#x27;)`</dd><dt><span>source :</span></dt><dd>MITgcm</dd><dt><span>title :</span></dt><dd>netCDF wrapper of MITgcm MDS binary data</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 9030, face: 13, j: 4320, i_g: 4320, j_g: 4320, i: 4320)\n",
"Coordinates: (12/29)\n",
" * face (face) int64 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
" * i_g (i_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j (j) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2012-09-23T05:00:00\n",
" * i (i) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" ... ...\n",
" hFacW (face, j, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" iter (time) int64 dask.array<chunksize=(9030,), meta=np.ndarray>\n",
" rA (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAs (face, j_g, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAw (face, j, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAz (face, j_g, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
"Data variables:\n",
" U (time, face, j, i_g) float32 dask.array<chunksize=(1, 1, 4320, 4320), meta=np.ndarray>\n",
" V (time, face, j_g, i) float32 dask.array<chunksize=(1, 1, 4320, 4320), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method='smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "e39b38e4-51ac-4214-a6b6-8d155b87ccd9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'ds is 17.54 TB'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f\"ds is {ds.nbytes / 1e12 :.2f} TB\""
]
},
{
"cell_type": "markdown",
"id": "eab9bb3e-b538-4fd5-ac88-9aa561a42374",
"metadata": {},
"source": [
"Full dataset has 3 more data variables, and would be 90x bigger b/c depth -> ~4PB"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "c165e89f-029a-4765-b369-8bd9b0237bb4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'U component of velocity field is 8.76 TB'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f\"U component of velocity field is {ds.U.nbytes / 1e12 :.2f} TB\""
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "7cbd940f-beb8-485e-a47d-3e39128863ca",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"Horizontal width of each grid cell (part of the 'metric') is 0.97 GB\""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f\"Horizontal width of each grid cell (part of the 'metric') is {ds.dxC.nbytes / 1e9 :.2f} GB\""
]
},
{
"cell_type": "markdown",
"id": "ea2c17d2-0b8b-49ca-96c0-185a405452d3",
"metadata": {},
"source": [
"## Create xGCM Grid object"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "39d96203-d63d-4aa6-a781-94c7dc73a310",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import xgcm"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "53d0aaf8-4c47-475d-beae-d17971a399be",
"metadata": {},
"outputs": [],
"source": [
"grid = xgcm.Grid(ds_grid[['i', 'i_g', 'j', 'j_g']], periodic=['X'])"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "53863424-9fcb-4f57-ac16-43c3f05be7b0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xgcm.Grid>\n",
"Y Axis (not periodic, boundary=None):\n",
" * center j --> left\n",
" * left j_g --> center\n",
"X Axis (periodic, boundary=None):\n",
" * center i --> left\n",
" * left i_g --> center"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"grid"
]
},
{
"cell_type": "markdown",
"id": "f094b81e-25a2-4e6d-be56-f435325ecfc0",
"metadata": {},
"source": [
"## Define vorticity calculation"
]
},
{
"cell_type": "markdown",
"id": "0db4e713-3836-42d3-a7e6-e2458f2a7d13",
"metadata": {},
"source": [
"We want to calculate the integral formula for [relative vorticity](https://mitgcm.readthedocs.io/en/latest/algorithm/algorithm.html?highlight=vorticity#relative-vorticity) in terms of circulation around a grid cell:"
]
},
{
"cell_type": "markdown",
"id": "5deeba77-4b51-4aa5-8cf0-864fd84f1abd",
"metadata": {},
"source": [
"$$\n",
" \\zeta_3 = \\frac{\\Gamma}{A_\\zeta} = \\frac{1}{{\\cal A}_\\zeta} ( \\delta_i \\Delta y_c v - \\delta_j \\Delta x_c u )\n",
"$$\n",
"\n",
"where $u$ and $v$ are horizontal and vertical components of surface velocity respectively."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "7c148d36-b8de-4bf9-8ac2-57a5bd3d147e",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"\n",
"def vort_ufunc(u, dxc, v, dyc, raz):\n",
" u_trans = u * dxc\n",
" v_trans = v * dyc\n",
" v_diff_x = v_trans[..., 1:, 1:] - v_trans[..., 1:, :-1]\n",
" u_diff_y = u_trans[..., 1:, 1:] - u_trans[..., :-1, 1:]\n",
" return (v_diff_x - u_diff_y) / raz[..., 1:, 1:]\n",
"\n",
"\n",
"def vort(ds):\n",
" \"\"\"Dimensionally-consistent relative vorticity\"\"\"\n",
"\n",
" u = ds.U\n",
" v = ds.V\n",
" dxC = ds.dxC\n",
" dyC = ds.dyC\n",
" rAz = ds.rAz\n",
" \n",
" zeta = grid.apply_as_grid_ufunc(\n",
" vort_ufunc,\n",
" u, dxC, v, dyC, rAz,\n",
" axis= 5 * [(\"Y\", \"X\")],\n",
" signature=\"(Y:center,X:left),(Y:center,X:left),(Y:left,X:center),(Y:left,X:center),(Y:left,X:left)->(Y:left,X:left)\",\n",
" boundary_width={\"X\": (1, 0), \"Y\": (1, 0)},\n",
" boundary={\"X\": \"periodic\", \"Y\": \"periodic\"}, # should try this with boundary=\"fill\" instead\n",
" fill_value=np.nan,\n",
" dask=\"parallelized\", # data isn't chunked along lat/lon\n",
" )\n",
" \n",
" return zeta"
]
},
{
"cell_type": "markdown",
"id": "3397298d-1134-4967-bda5-a89f64850c2e",
"metadata": {},
"source": [
"## Code to get cluster"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "c919ead1-cf74-49dd-8ac3-b49a96b95def",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from contextlib import contextmanager\n",
"from dask_gateway import Gateway\n",
"\n",
"\n",
"@contextmanager\n",
"def get_cluster(*, n_workers, env=None, config=None):\n",
" \n",
" g = Gateway()\n",
" options = g.cluster_options()\n",
" options.worker_cores = 1\n",
" options.worker_memory = 20\n",
" \n",
" gc = g.new_cluster(cluster_options=options)\n",
" client = gc.get_client()\n",
" \n",
" gc.scale(n_workers)\n",
" client.wait_for_workers(n_workers)\n",
" \n",
" print(client.dashboard_link)\n",
" \n",
" yield gc, client\n",
" \n",
" print(\"closing\")\n",
" client.close()\n",
" gc.close()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "7e75d0f0-31e7-4d68-8011-31a8e39de487",
"metadata": {},
"outputs": [],
"source": [
"from functools import partial\n",
"\n",
"\n",
"def set_and_check_config(dask_scheduler, config):\n",
" \n",
" import os\n",
" \n",
" os.environ[\"DASK_DISTRIBUTED__SCHEDULER__WORKER_SATURATION\"] = config[\"distributed.scheduler.worker-saturation\"]\n",
" \n",
" flag1 = os.environ[\"DASK_DISTRIBUTED__SCHEDULER__WORKER_SATURATION\"] \n",
" #flag2 = dask_scheduler.WORKER_SATURATION\n",
"\n",
" assert str(flag1) == config[\"distributed.scheduler.worker-saturation\"], (flag1, config[\"distributed.scheduler.worker-saturation\"])\n",
" #assert str(flag2) == config[\"distributed.scheduler.worker-saturation\"], (flag2, config[\"distributed.scheduler.worker-saturation\"])\n",
" \n",
" return flag1#, flag2\n",
" "
]
},
{
"cell_type": "markdown",
"id": "be20b054-afce-4625-9b0c-e9a3f8acf85d",
"metadata": {},
"source": [
"## Define subset of calculation"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "b4a52a0e-41a2-44d8-86cc-99b835d05499",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 200, face: 13, j: 4320, i_g: 4320, j_g: 4320, i: 4320)\n",
"Coordinates: (12/29)\n",
" * face (face) int64 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
" * i_g (i_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j (j) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2011-09-21T07:00:00\n",
" * i (i) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" ... ...\n",
" hFacW (face, j, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" iter (time) int64 dask.array&lt;chunksize=(200,), meta=np.ndarray&gt;\n",
" rA (face, j, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAs (face, j_g, i) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAw (face, j, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
" rAz (face, j_g, i_g) float32 dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;\n",
"Data variables:\n",
" U (time, face, j, i_g) float32 dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;\n",
" V (time, face, j_g, i) float32 dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b1f4f44b-ba78-4c31-a0df-fa4447e112ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1f4f44b-ba78-4c31-a0df-fa4447e112ea' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 200</li><li><span class='xr-has-index'>face</span>: 13</li><li><span class='xr-has-index'>j</span>: 4320</li><li><span class='xr-has-index'>i_g</span>: 4320</li><li><span class='xr-has-index'>j_g</span>: 4320</li><li><span class='xr-has-index'>i</span>: 4320</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f260571-8999-4591-b8e2-0aeba4c77deb' class='xr-section-summary-in' type='checkbox' ><label for='section-2f260571-8999-4591-b8e2-0aeba4c77deb' class='xr-section-summary' >Coordinates: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>face</span></div><div class='xr-var-dims'>(face)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-2390fa22-e58f-4fcf-9d3c-1f9fe7f37c20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2390fa22-e58f-4fcf-9d3c-1f9fe7f37c20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc9524f3-aabe-4baf-b024-16d5edc30bd2' class='xr-var-data-in' type='checkbox'><label for='data-fc9524f3-aabe-4baf-b024-16d5edc30bd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>face_index</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i_g</span></div><div class='xr-var-dims'>(i_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-108b1f98-34c8-44c2-ac58-3861c9d718a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-108b1f98-34c8-44c2-ac58-3861c9d718a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73211e34-599c-42dc-9d33-f9f23fd27301' class='xr-var-data-in' type='checkbox'><label for='data-73211e34-599c-42dc-9d33-f9f23fd27301' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>x-dimension of the u grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index_at_u_location</dd><dt><span>swap_dim :</span></dt><dd>XG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j</span></div><div class='xr-var-dims'>(j)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-9cfafc8c-fb52-4532-bfaf-95f1931c3df0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cfafc8c-fb52-4532-bfaf-95f1931c3df0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f8a5892-866e-4932-bc4e-58d40df641aa' class='xr-var-data-in' type='checkbox'><label for='data-4f8a5892-866e-4932-bc4e-58d40df641aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index</dd><dt><span>swap_dim :</span></dt><dd>YC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2011-09-13 ... 2011-09-21T07:00:00</div><input id='attrs-a6d1885e-fa9f-4c3c-b4d8-25b7cf2b557e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6d1885e-fa9f-4c3c-b4d8-25b7cf2b557e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a4315b3-1733-41f2-8dcb-1adc630eedce' class='xr-var-data-in' type='checkbox'><label for='data-8a4315b3-1733-41f2-8dcb-1adc630eedce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2011-09-13T00:00:00.000000000&#x27;, &#x27;2011-09-13T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T02:00:00.000000000&#x27;, &#x27;2011-09-13T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T04:00:00.000000000&#x27;, &#x27;2011-09-13T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T06:00:00.000000000&#x27;, &#x27;2011-09-13T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T08:00:00.000000000&#x27;, &#x27;2011-09-13T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T10:00:00.000000000&#x27;, &#x27;2011-09-13T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T12:00:00.000000000&#x27;, &#x27;2011-09-13T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T14:00:00.000000000&#x27;, &#x27;2011-09-13T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T16:00:00.000000000&#x27;, &#x27;2011-09-13T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T18:00:00.000000000&#x27;, &#x27;2011-09-13T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T20:00:00.000000000&#x27;, &#x27;2011-09-13T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-13T22:00:00.000000000&#x27;, &#x27;2011-09-13T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T00:00:00.000000000&#x27;, &#x27;2011-09-14T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T02:00:00.000000000&#x27;, &#x27;2011-09-14T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T04:00:00.000000000&#x27;, &#x27;2011-09-14T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T06:00:00.000000000&#x27;, &#x27;2011-09-14T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T08:00:00.000000000&#x27;, &#x27;2011-09-14T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T10:00:00.000000000&#x27;, &#x27;2011-09-14T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T12:00:00.000000000&#x27;, &#x27;2011-09-14T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T14:00:00.000000000&#x27;, &#x27;2011-09-14T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T16:00:00.000000000&#x27;, &#x27;2011-09-14T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T18:00:00.000000000&#x27;, &#x27;2011-09-14T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T20:00:00.000000000&#x27;, &#x27;2011-09-14T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-14T22:00:00.000000000&#x27;, &#x27;2011-09-14T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T00:00:00.000000000&#x27;, &#x27;2011-09-15T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T02:00:00.000000000&#x27;, &#x27;2011-09-15T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T04:00:00.000000000&#x27;, &#x27;2011-09-15T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T06:00:00.000000000&#x27;, &#x27;2011-09-15T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T08:00:00.000000000&#x27;, &#x27;2011-09-15T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T10:00:00.000000000&#x27;, &#x27;2011-09-15T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T12:00:00.000000000&#x27;, &#x27;2011-09-15T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T14:00:00.000000000&#x27;, &#x27;2011-09-15T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T16:00:00.000000000&#x27;, &#x27;2011-09-15T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T18:00:00.000000000&#x27;, &#x27;2011-09-15T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T20:00:00.000000000&#x27;, &#x27;2011-09-15T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-15T22:00:00.000000000&#x27;, &#x27;2011-09-15T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T02:00:00.000000000&#x27;, &#x27;2011-09-16T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T04:00:00.000000000&#x27;, &#x27;2011-09-16T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T06:00:00.000000000&#x27;, &#x27;2011-09-16T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T08:00:00.000000000&#x27;, &#x27;2011-09-16T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T10:00:00.000000000&#x27;, &#x27;2011-09-16T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T14:00:00.000000000&#x27;, &#x27;2011-09-16T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T16:00:00.000000000&#x27;, &#x27;2011-09-16T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T18:00:00.000000000&#x27;, &#x27;2011-09-16T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T20:00:00.000000000&#x27;, &#x27;2011-09-16T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-16T22:00:00.000000000&#x27;, &#x27;2011-09-16T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T00:00:00.000000000&#x27;, &#x27;2011-09-17T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T02:00:00.000000000&#x27;, &#x27;2011-09-17T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T04:00:00.000000000&#x27;, &#x27;2011-09-17T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T06:00:00.000000000&#x27;, &#x27;2011-09-17T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T08:00:00.000000000&#x27;, &#x27;2011-09-17T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T10:00:00.000000000&#x27;, &#x27;2011-09-17T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T12:00:00.000000000&#x27;, &#x27;2011-09-17T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T14:00:00.000000000&#x27;, &#x27;2011-09-17T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T16:00:00.000000000&#x27;, &#x27;2011-09-17T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T18:00:00.000000000&#x27;, &#x27;2011-09-17T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T20:00:00.000000000&#x27;, &#x27;2011-09-17T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-17T22:00:00.000000000&#x27;, &#x27;2011-09-17T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T00:00:00.000000000&#x27;, &#x27;2011-09-18T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T02:00:00.000000000&#x27;, &#x27;2011-09-18T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T04:00:00.000000000&#x27;, &#x27;2011-09-18T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T06:00:00.000000000&#x27;, &#x27;2011-09-18T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T08:00:00.000000000&#x27;, &#x27;2011-09-18T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T10:00:00.000000000&#x27;, &#x27;2011-09-18T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T12:00:00.000000000&#x27;, &#x27;2011-09-18T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T14:00:00.000000000&#x27;, &#x27;2011-09-18T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T16:00:00.000000000&#x27;, &#x27;2011-09-18T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T18:00:00.000000000&#x27;, &#x27;2011-09-18T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T20:00:00.000000000&#x27;, &#x27;2011-09-18T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-18T22:00:00.000000000&#x27;, &#x27;2011-09-18T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T00:00:00.000000000&#x27;, &#x27;2011-09-19T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T02:00:00.000000000&#x27;, &#x27;2011-09-19T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T04:00:00.000000000&#x27;, &#x27;2011-09-19T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T06:00:00.000000000&#x27;, &#x27;2011-09-19T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T08:00:00.000000000&#x27;, &#x27;2011-09-19T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T10:00:00.000000000&#x27;, &#x27;2011-09-19T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T12:00:00.000000000&#x27;, &#x27;2011-09-19T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T14:00:00.000000000&#x27;, &#x27;2011-09-19T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T16:00:00.000000000&#x27;, &#x27;2011-09-19T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T18:00:00.000000000&#x27;, &#x27;2011-09-19T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T20:00:00.000000000&#x27;, &#x27;2011-09-19T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-19T22:00:00.000000000&#x27;, &#x27;2011-09-19T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T00:00:00.000000000&#x27;, &#x27;2011-09-20T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T02:00:00.000000000&#x27;, &#x27;2011-09-20T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T04:00:00.000000000&#x27;, &#x27;2011-09-20T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T06:00:00.000000000&#x27;, &#x27;2011-09-20T07:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T08:00:00.000000000&#x27;, &#x27;2011-09-20T09:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T10:00:00.000000000&#x27;, &#x27;2011-09-20T11:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T12:00:00.000000000&#x27;, &#x27;2011-09-20T13:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T14:00:00.000000000&#x27;, &#x27;2011-09-20T15:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T16:00:00.000000000&#x27;, &#x27;2011-09-20T17:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T18:00:00.000000000&#x27;, &#x27;2011-09-20T19:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T20:00:00.000000000&#x27;, &#x27;2011-09-20T21:00:00.000000000&#x27;,\n",
" &#x27;2011-09-20T22:00:00.000000000&#x27;, &#x27;2011-09-20T23:00:00.000000000&#x27;,\n",
" &#x27;2011-09-21T00:00:00.000000000&#x27;, &#x27;2011-09-21T01:00:00.000000000&#x27;,\n",
" &#x27;2011-09-21T02:00:00.000000000&#x27;, &#x27;2011-09-21T03:00:00.000000000&#x27;,\n",
" &#x27;2011-09-21T04:00:00.000000000&#x27;, &#x27;2011-09-21T05:00:00.000000000&#x27;,\n",
" &#x27;2011-09-21T06:00:00.000000000&#x27;, &#x27;2011-09-21T07:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>i</span></div><div class='xr-var-dims'>(i)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-c5746e02-5cae-4aa4-9f8f-02437d7c3223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5746e02-5cae-4aa4-9f8f-02437d7c3223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fbd904e-e74c-42bc-85c9-601b612c1b14' class='xr-var-data-in' type='checkbox'><label for='data-5fbd904e-e74c-42bc-85c9-601b612c1b14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x-dimension of the t grid</dd><dt><span>standard_name :</span></dt><dd>x_grid_index</dd><dt><span>swap_dim :</span></dt><dd>XC</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>j_g</span></div><div class='xr-var-dims'>(j_g)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 4316 4317 4318 4319</div><input id='attrs-e3eceb5c-bf38-455e-abb7-7e2062e3ee16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3eceb5c-bf38-455e-abb7-7e2062e3ee16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7782998d-75e4-446c-8cf0-f6450682452f' class='xr-var-data-in' type='checkbox'><label for='data-7782998d-75e4-446c-8cf0-f6450682452f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>c_grid_axis_shift :</span></dt><dd>-0.5</dd><dt><span>long_name :</span></dt><dd>y-dimension of the v grid</dd><dt><span>standard_name :</span></dt><dd>y_grid_index_at_v_location</dd><dt><span>swap_dim :</span></dt><dd>YG</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 4317, 4318, 4319])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CS</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-d698231b-01fd-425b-bdc7-e52b19cdfe92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d698231b-01fd-425b-bdc7-e52b19cdfe92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6af677-14a7-461d-b07b-18f75bb77d3a' class='xr-var-data-in' type='checkbox'><label for='data-ea6af677-14a7-461d-b07b-18f75bb77d3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleCS</dd><dt><span>standard_name :</span></dt><dd>Cos of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-fa59f5d0-ce1b-4dbe-af80-9b88a08fa974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa59f5d0-ce1b-4dbe-af80-9b88a08fa974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01969a7a-e53f-4d77-87d9-76236b95aca7' class='xr-var-data-in' type='checkbox'><label for='data-01969a7a-e53f-4d77-87d9-76236b95aca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>XC YC</dd><dt><span>long_name :</span></dt><dd>ocean depth</dd><dt><span>standard_name :</span></dt><dd>ocean_depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHrefC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-546ae172-71b5-49b5-8968-495709423d0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-546ae172-71b5-49b5-8968-495709423d0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f29b7443-7799-4e56-86db-5728782dd5b3' class='xr-var-data-in' type='checkbox'><label for='data-f29b7443-7799-4e56-86db-5728782dd5b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Reference Hydrostatic Pressure</dd><dt><span>standard_name :</span></dt><dd>cell_reference_pressure</dd><dt><span>units :</span></dt><dd>m2 s-2</dd></dl></div><div class='xr-var-data'><pre>array(15.4017, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SN</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-f256d692-893e-447c-bc66-2b58fdf478f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f256d692-893e-447c-bc66-2b58fdf478f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49b6cd11-d710-4485-ab62-4420e2adc259' class='xr-var-data-in' type='checkbox'><label for='data-49b6cd11-d710-4485-ab62-4420e2adc259' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>AngleSN</dd><dt><span>standard_name :</span></dt><dd>Sin of grid orientation angle</dd><dt><span>units :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-5fcf307e-1100-41fd-a19f-844059a2b75c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fcf307e-1100-41fd-a19f-844059a2b75c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-897af0ca-28fe-444d-a322-60e1b1e2a656' class='xr-var-data-in' type='checkbox'><label for='data-897af0ca-28fe-444d-a322-60e1b1e2a656' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-1161bc1f-f719-46dd-bb68-43a514a0e7b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1161bc1f-f719-46dd-bb68-43a514a0e7b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-027902f1-abf0-48b6-bf60-6178cd550b67' class='xr-var-data-in' type='checkbox'><label for='data-027902f1-abf0-48b6-bf60-6178cd550b67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-3ed9cd28-7e32-4bf5-b47a-ffc84bab6ece' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ed9cd28-7e32-4bf5-b47a-ffc84bab6ece' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b32863e1-3fa9-4cc2-9bfe-bd6f3f162a5d' class='xr-var-data-in' type='checkbox'><label for='data-b32863e1-3fa9-4cc2-9bfe-bd6f3f162a5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YG</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-70594a1d-d851-4f7b-a588-bf1e09752054' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70594a1d-d851-4f7b-a588-bf1e09752054' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4186ab82-58d3-4f33-908d-3c1d7e34a7e9' class='xr-var-data-in' type='checkbox'><label for='data-4186ab82-58d3-4f33-908d-3c1d7e34a7e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude_at_f_location</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-857f81e5-2b00-4fdf-b276-833abffbd82f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-857f81e5-2b00-4fdf-b276-833abffbd82f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66546764-44cb-46f4-b0b0-cd1e24024f2b' class='xr-var-data-in' type='checkbox'><label for='data-66546764-44cb-46f4-b0b0-cd1e24024f2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of cell center</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-1.57, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zu</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dad1267e-b9eb-4ab1-bcaa-8697fcd96616' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dad1267e-b9eb-4ab1-bcaa-8697fcd96616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1373144a-ef8d-49f8-80e3-3f76f3bf3703' class='xr-var-data-in' type='checkbox'><label for='data-1373144a-ef8d-49f8-80e3-3f76f3bf3703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical coordinate of lower cell interface</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>depth_at_lower_w_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(-2.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drF</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-776fcb44-61e9-4f40-a343-100142779a1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-776fcb44-61e9-4f40-a343-100142779a1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e36c3949-a098-45f2-b516-ae292db417eb' class='xr-var-data-in' type='checkbox'><label for='data-e36c3949-a098-45f2-b516-ae292db417eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell z size</dd><dt><span>standard_name :</span></dt><dd>cell_z_size</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(1.14, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxC</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-d2368487-65a5-4c72-a608-fa10035e757e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2368487-65a5-4c72-a608-fa10035e757e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b85ee9c8-cc30-41ad-bb1e-21859651f011' class='xr-var-data-in' type='checkbox'><label for='data-b85ee9c8-cc30-41ad-bb1e-21859651f011' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dxG</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-2d3a3d8b-984e-49bd-ba5f-05daae12732d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d3a3d8b-984e-49bd-ba5f-05daae12732d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886b4497-67bf-40cf-9c80-29f7bdfa00d5' class='xr-var-data-in' type='checkbox'><label for='data-886b4497-67bf-40cf-9c80-29f7bdfa00d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell x size</dd><dt><span>standard_name :</span></dt><dd>cell_x_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyC</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-95d56cb2-3e36-43dd-b3a7-98c111a8f8e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95d56cb2-3e36-43dd-b3a7-98c111a8f8e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77c963e8-7d91-483f-9094-65017c3136f3' class='xr-var-data-in' type='checkbox'><label for='data-77c963e8-7d91-483f-9094-65017c3136f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_v_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dyG</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-f50aa14c-a8c2-4941-854b-f673581b3026' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f50aa14c-a8c2-4941-854b-f673581b3026' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eaf1611-43d1-459d-ae50-5dac5ca46471' class='xr-var-data-in' type='checkbox'><label for='data-0eaf1611-43d1-459d-ae50-5dac5ca46471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XG</dd><dt><span>long_name :</span></dt><dd>cell y size</dd><dt><span>standard_name :</span></dt><dd>cell_y_size_at_u_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacC</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-cf3821e8-6b31-43d0-b8da-036432d338c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf3821e8-6b31-43d0-b8da-036432d338c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a72986ee-337f-47e6-bf8a-247a02ef4dff' class='xr-var-data-in' type='checkbox'><label for='data-a72986ee-337f-47e6-bf8a-247a02ef4dff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacS</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-74423a74-3b55-436b-bc11-431c91aca98d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74423a74-3b55-436b-bc11-431c91aca98d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a38e6a-7704-4a0b-86f6-b476da9b0b37' class='xr-var-data-in' type='checkbox'><label for='data-c0a38e6a-7704-4a0b-86f6-b476da9b0b37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_v_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacW</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-e4b5f91b-9222-49d3-b00c-ed6ebe7f084e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b5f91b-9222-49d3-b00c-ed6ebe7f084e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b3270f7-9402-4e7d-bce5-14640960b6a9' class='xr-var-data-in' type='checkbox'><label for='data-4b3270f7-9402-4e7d-bce5-14640960b6a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</dd><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction_at_u_location</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(200,), meta=np.ndarray&gt;</div><input id='attrs-6b9ef11a-69ad-482e-aeb8-a832ad6d32e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b9ef11a-69ad-482e-aeb8-a832ad6d32e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca7a0d0d-cc19-4473-9160-aaa8874b1f1d' class='xr-var-data-in' type='checkbox'><label for='data-ca7a0d0d-cc19-4473-9160-aaa8874b1f1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 1.56 kiB </td>\n",
" <td> 1.56 kiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (200,) </td>\n",
" <td> (200,) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 1 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> int64 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >200</text>\n",
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rA</span></div><div class='xr-var-dims'>(face, j, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-12b75491-286a-4abf-9b33-1d30f7cb3004' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12b75491-286a-4abf-9b33-1d30f7cb3004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b770321-657a-4379-9b2b-c4f6579eb670' class='xr-var-data-in' type='checkbox'><label for='data-1b770321-657a-4379-9b2b-c4f6579eb670' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAs</span></div><div class='xr-var-dims'>(face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-3e6c24c3-fb4a-4b17-9a27-4a3a649712fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e6c24c3-fb4a-4b17-9a27-4a3a649712fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc44f78-e2f5-4d3e-8962-54c453c66bd2' class='xr-var-data-in' type='checkbox'><label for='data-5cc44f78-e2f5-4d3e-8962-54c453c66bd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_v_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAw</span></div><div class='xr-var-dims'>(face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-04598f4d-c79f-4f85-8920-074c91c9e58b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04598f4d-c79f-4f85-8920-074c91c9e58b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-790aa8fa-35fa-4cdc-90b3-7b1223a39d71' class='xr-var-data-in' type='checkbox'><label for='data-790aa8fa-35fa-4cdc-90b3-7b1223a39d71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XC</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_u_location</dd><dt><span>units :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rAz</span></div><div class='xr-var-dims'>(face, j_g, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-5221b9b8-241b-4f9b-ac8c-4151bb1acb85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5221b9b8-241b-4f9b-ac8c-4151bb1acb85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af7f6e7f-323b-4fb0-b1a0-c6264bcc6231' class='xr-var-data-in' type='checkbox'><label for='data-af7f6e7f-323b-4fb0-b1a0-c6264bcc6231' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coordinate :</span></dt><dd>YG XG</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>standard_name :</span></dt><dd>cell_area_at_f_location</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 0.90 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (13, 4320, 4320) </td>\n",
" <td> (1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 1 Graph Layer </td>\n",
" <td> 13 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"194\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"10\" y1=\"120\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"11\" y2=\"121\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"122\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"123\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"124\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"125\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"126\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"128\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"129\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"130\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"131\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"132\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"133\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,134.9485979497544 10.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"11\" y1=\"1\" x2=\"131\" y2=\"1\" />\n",
" <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
" <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
" <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
" <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
" <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
" <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
" <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
" <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
" <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
" <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
" <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"24\" y1=\"134\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,134.9485979497544 24.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"84.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"164.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,74.948598)\">4320</text>\n",
" <text x=\"7.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a58f0617-1603-48c5-843a-074a0088fd8b' class='xr-section-summary-in' type='checkbox' checked><label for='section-a58f0617-1603-48c5-843a-074a0088fd8b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>U</span></div><div class='xr-var-dims'>(time, face, j, i_g)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-e0038f12-cc77-4ec7-8c72-e4829a074f17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0038f12-cc77-4ec7-8c72-e4829a074f17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c53c3206-9a14-40f3-abe2-813ac485b5c3' class='xr-var-data-in' type='checkbox'><label for='data-c53c3206-9a14-40f3-abe2-813ac485b5c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 180.76 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (200, 13, 4320, 4320) </td>\n",
" <td> (1, 1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 2600 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"392\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"34\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"34\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"1\" y1=\"0\" x2=\"1\" y2=\"25\" />\n",
" <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
" <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
" <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
" <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
" <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
" <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
" <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
" <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
" <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n",
" <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
" <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
" <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
" <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
" <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
" <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
" <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
" <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
" <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
" <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
" <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
" <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
" <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
" <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
" <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
" <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
" <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
" <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
" <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"25\" />\n",
" <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
" <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 34.02941904616001,0.0 34.02941904616001,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"17.014710\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >200</text>\n",
" <text x=\"54.029419\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,54.029419,12.706308)\">1</text>\n",
"\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"118\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"104\" y1=\"120\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"105\" y1=\"1\" x2=\"105\" y2=\"121\" />\n",
" <line x1=\"106\" y1=\"2\" x2=\"106\" y2=\"122\" />\n",
" <line x1=\"107\" y1=\"3\" x2=\"107\" y2=\"123\" />\n",
" <line x1=\"108\" y1=\"4\" x2=\"108\" y2=\"124\" />\n",
" <line x1=\"109\" y1=\"5\" x2=\"109\" y2=\"125\" />\n",
" <line x1=\"110\" y1=\"6\" x2=\"110\" y2=\"126\" />\n",
" <line x1=\"112\" y1=\"8\" x2=\"112\" y2=\"128\" />\n",
" <line x1=\"113\" y1=\"9\" x2=\"113\" y2=\"129\" />\n",
" <line x1=\"114\" y1=\"10\" x2=\"114\" y2=\"130\" />\n",
" <line x1=\"115\" y1=\"11\" x2=\"115\" y2=\"131\" />\n",
" <line x1=\"116\" y1=\"12\" x2=\"116\" y2=\"132\" />\n",
" <line x1=\"117\" y1=\"13\" x2=\"117\" y2=\"133\" />\n",
" <line x1=\"118\" y1=\"14\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"104.0,0.0 118.9485979497544,14.948597949754403 118.9485979497544,134.9485979497544 104.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"224\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"105\" y1=\"1\" x2=\"225\" y2=\"1\" />\n",
" <line x1=\"106\" y1=\"2\" x2=\"226\" y2=\"2\" />\n",
" <line x1=\"107\" y1=\"3\" x2=\"227\" y2=\"3\" />\n",
" <line x1=\"108\" y1=\"4\" x2=\"228\" y2=\"4\" />\n",
" <line x1=\"109\" y1=\"5\" x2=\"229\" y2=\"5\" />\n",
" <line x1=\"110\" y1=\"6\" x2=\"230\" y2=\"6\" />\n",
" <line x1=\"112\" y1=\"8\" x2=\"232\" y2=\"8\" />\n",
" <line x1=\"113\" y1=\"9\" x2=\"233\" y2=\"9\" />\n",
" <line x1=\"114\" y1=\"10\" x2=\"234\" y2=\"10\" />\n",
" <line x1=\"115\" y1=\"11\" x2=\"235\" y2=\"11\" />\n",
" <line x1=\"116\" y1=\"12\" x2=\"236\" y2=\"12\" />\n",
" <line x1=\"117\" y1=\"13\" x2=\"237\" y2=\"13\" />\n",
" <line x1=\"118\" y1=\"14\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"118\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"224\" y1=\"0\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"104.0,0.0 224.0,0.0 238.9485979497544,14.948597949754403 118.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"118\" y1=\"14\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"118\" y1=\"134\" x2=\"238\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"118\" y1=\"14\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"238\" y1=\"14\" x2=\"238\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"118.9485979497544,14.948597949754403 238.9485979497544,14.948597949754403 238.9485979497544,134.9485979497544 118.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"178.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"258.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.948598,74.948598)\">4320</text>\n",
" <text x=\"101.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,101.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V</span></div><div class='xr-var-dims'>(time, face, j_g, i)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 4320, 4320), meta=np.ndarray&gt;</div><input id='attrs-45fd04b7-7a80-4e87-a02d-41a520e4c8a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45fd04b7-7a80-4e87-a02d-41a520e4c8a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-230e7e0c-9211-4752-afca-9d9d76d421cd' class='xr-var-data-in' type='checkbox'><label for='data-230e7e0c-9211-4752-afca-9d9d76d421cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table>\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 180.76 GiB </td>\n",
" <td> 71.19 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (200, 13, 4320, 4320) </td>\n",
" <td> (1, 1, 4320, 4320) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Count </th>\n",
" <td> 2 Graph Layers </td>\n",
" <td> 2600 Chunks </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Type </th>\n",
" <td> float32 </td>\n",
" <td> numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"392\" height=\"184\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"34\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"0\" y1=\"25\" x2=\"34\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
" <line x1=\"1\" y1=\"0\" x2=\"1\" y2=\"25\" />\n",
" <line x1=\"2\" y1=\"0\" x2=\"2\" y2=\"25\" />\n",
" <line x1=\"3\" y1=\"0\" x2=\"3\" y2=\"25\" />\n",
" <line x1=\"4\" y1=\"0\" x2=\"4\" y2=\"25\" />\n",
" <line x1=\"5\" y1=\"0\" x2=\"5\" y2=\"25\" />\n",
" <line x1=\"6\" y1=\"0\" x2=\"6\" y2=\"25\" />\n",
" <line x1=\"7\" y1=\"0\" x2=\"7\" y2=\"25\" />\n",
" <line x1=\"8\" y1=\"0\" x2=\"8\" y2=\"25\" />\n",
" <line x1=\"9\" y1=\"0\" x2=\"9\" y2=\"25\" />\n",
" <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" />\n",
" <line x1=\"11\" y1=\"0\" x2=\"11\" y2=\"25\" />\n",
" <line x1=\"12\" y1=\"0\" x2=\"12\" y2=\"25\" />\n",
" <line x1=\"13\" y1=\"0\" x2=\"13\" y2=\"25\" />\n",
" <line x1=\"14\" y1=\"0\" x2=\"14\" y2=\"25\" />\n",
" <line x1=\"15\" y1=\"0\" x2=\"15\" y2=\"25\" />\n",
" <line x1=\"17\" y1=\"0\" x2=\"17\" y2=\"25\" />\n",
" <line x1=\"18\" y1=\"0\" x2=\"18\" y2=\"25\" />\n",
" <line x1=\"19\" y1=\"0\" x2=\"19\" y2=\"25\" />\n",
" <line x1=\"20\" y1=\"0\" x2=\"20\" y2=\"25\" />\n",
" <line x1=\"21\" y1=\"0\" x2=\"21\" y2=\"25\" />\n",
" <line x1=\"22\" y1=\"0\" x2=\"22\" y2=\"25\" />\n",
" <line x1=\"23\" y1=\"0\" x2=\"23\" y2=\"25\" />\n",
" <line x1=\"24\" y1=\"0\" x2=\"24\" y2=\"25\" />\n",
" <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" />\n",
" <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"25\" />\n",
" <line x1=\"27\" y1=\"0\" x2=\"27\" y2=\"25\" />\n",
" <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" />\n",
" <line x1=\"29\" y1=\"0\" x2=\"29\" y2=\"25\" />\n",
" <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"25\" />\n",
" <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"25\" />\n",
" <line x1=\"32\" y1=\"0\" x2=\"32\" y2=\"25\" />\n",
" <line x1=\"34\" y1=\"0\" x2=\"34\" y2=\"25\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"0.0,0.0 34.02941904616001,0.0 34.02941904616001,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"17.014710\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >200</text>\n",
" <text x=\"54.029419\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,54.029419,12.706308)\">1</text>\n",
"\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"118\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"104\" y1=\"120\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"104\" y2=\"120\" style=\"stroke-width:2\" />\n",
" <line x1=\"105\" y1=\"1\" x2=\"105\" y2=\"121\" />\n",
" <line x1=\"106\" y1=\"2\" x2=\"106\" y2=\"122\" />\n",
" <line x1=\"107\" y1=\"3\" x2=\"107\" y2=\"123\" />\n",
" <line x1=\"108\" y1=\"4\" x2=\"108\" y2=\"124\" />\n",
" <line x1=\"109\" y1=\"5\" x2=\"109\" y2=\"125\" />\n",
" <line x1=\"110\" y1=\"6\" x2=\"110\" y2=\"126\" />\n",
" <line x1=\"112\" y1=\"8\" x2=\"112\" y2=\"128\" />\n",
" <line x1=\"113\" y1=\"9\" x2=\"113\" y2=\"129\" />\n",
" <line x1=\"114\" y1=\"10\" x2=\"114\" y2=\"130\" />\n",
" <line x1=\"115\" y1=\"11\" x2=\"115\" y2=\"131\" />\n",
" <line x1=\"116\" y1=\"12\" x2=\"116\" y2=\"132\" />\n",
" <line x1=\"117\" y1=\"13\" x2=\"117\" y2=\"133\" />\n",
" <line x1=\"118\" y1=\"14\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"104.0,0.0 118.9485979497544,14.948597949754403 118.9485979497544,134.9485979497544 104.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"224\" y2=\"0\" style=\"stroke-width:2\" />\n",
" <line x1=\"105\" y1=\"1\" x2=\"225\" y2=\"1\" />\n",
" <line x1=\"106\" y1=\"2\" x2=\"226\" y2=\"2\" />\n",
" <line x1=\"107\" y1=\"3\" x2=\"227\" y2=\"3\" />\n",
" <line x1=\"108\" y1=\"4\" x2=\"228\" y2=\"4\" />\n",
" <line x1=\"109\" y1=\"5\" x2=\"229\" y2=\"5\" />\n",
" <line x1=\"110\" y1=\"6\" x2=\"230\" y2=\"6\" />\n",
" <line x1=\"112\" y1=\"8\" x2=\"232\" y2=\"8\" />\n",
" <line x1=\"113\" y1=\"9\" x2=\"233\" y2=\"9\" />\n",
" <line x1=\"114\" y1=\"10\" x2=\"234\" y2=\"10\" />\n",
" <line x1=\"115\" y1=\"11\" x2=\"235\" y2=\"11\" />\n",
" <line x1=\"116\" y1=\"12\" x2=\"236\" y2=\"12\" />\n",
" <line x1=\"117\" y1=\"13\" x2=\"237\" y2=\"13\" />\n",
" <line x1=\"118\" y1=\"14\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"104\" y1=\"0\" x2=\"118\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"224\" y1=\"0\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"104.0,0.0 224.0,0.0 238.9485979497544,14.948597949754403 118.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Horizontal lines -->\n",
" <line x1=\"118\" y1=\"14\" x2=\"238\" y2=\"14\" style=\"stroke-width:2\" />\n",
" <line x1=\"118\" y1=\"134\" x2=\"238\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Vertical lines -->\n",
" <line x1=\"118\" y1=\"14\" x2=\"118\" y2=\"134\" style=\"stroke-width:2\" />\n",
" <line x1=\"238\" y1=\"14\" x2=\"238\" y2=\"134\" style=\"stroke-width:2\" />\n",
"\n",
" <!-- Colored Rectangle -->\n",
" <polygon points=\"118.9485979497544,14.948597949754403 238.9485979497544,14.948597949754403 238.9485979497544,134.9485979497544 118.9485979497544,134.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
"\n",
" <!-- Text -->\n",
" <text x=\"178.948598\" y=\"154.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4320</text>\n",
" <text x=\"258.948598\" y=\"74.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.948598,74.948598)\">4320</text>\n",
" <text x=\"101.474299\" y=\"147.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,101.474299,147.474299)\">13</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d990513-0b3e-4d4d-8442-57440acd3984' class='xr-section-summary-in' type='checkbox' checked><label for='section-9d990513-0b3e-4d4d-8442-57440acd3984' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Created by calling `open_mdsdataset(llc_method=&#x27;smallchunks&#x27;, nz=None, ny=None, nx=None, default_dtype=dtype(&#x27;&gt;f4&#x27;), ignore_unknown_vars=True, chunks=None, endian=&#x27;&gt;&#x27;, swap_dims=None, grid_vars_to_coords=True, geometry=&#x27;llc&#x27;, calendar=&#x27;gregorian&#x27;, ref_date=None, delta_t=25.0, read_grid=True, prefix=None, iters=[10368], grid_dir=&#x27;/pleiades/u/dmenemen/llc_4320/grid/&#x27;, data_dir=&#x27;/pleiades/u/dmenemen/llc_4320/MITgcm/run/&#x27;)`</dd><dt><span>source :</span></dt><dd>MITgcm</dd><dt><span>title :</span></dt><dd>netCDF wrapper of MITgcm MDS binary data</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 200, face: 13, j: 4320, i_g: 4320, j_g: 4320, i: 4320)\n",
"Coordinates: (12/29)\n",
" * face (face) int64 0 1 2 3 4 5 6 7 8 9 10 11 12\n",
" * i_g (i_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j (j) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * time (time) datetime64[ns] 2011-09-13 ... 2011-09-21T07:00:00\n",
" * i (i) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" * j_g (j_g) int64 0 1 2 3 4 5 6 7 ... 4313 4314 4315 4316 4317 4318 4319\n",
" ... ...\n",
" hFacW (face, j, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" iter (time) int64 dask.array<chunksize=(200,), meta=np.ndarray>\n",
" rA (face, j, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAs (face, j_g, i) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAw (face, j, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
" rAz (face, j_g, i_g) float32 dask.array<chunksize=(1, 4320, 4320), meta=np.ndarray>\n",
"Data variables:\n",
" U (time, face, j, i_g) float32 dask.array<chunksize=(1, 1, 4320, 4320), meta=np.ndarray>\n",
" V (time, face, j_g, i) float32 dask.array<chunksize=(1, 1, 4320, 4320), meta=np.ndarray>\n",
"Attributes:\n",
" Conventions: CF-1.6\n",
" history: Created by calling `open_mdsdataset(llc_method='smallchunks...\n",
" source: MITgcm\n",
" title: netCDF wrapper of MITgcm MDS binary data"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"subset200 = ds.isel(time=slice(0, 200))\n",
"subset200"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "4ec2794d-18ef-4ea1-ab64-164aa6df2f08",
"metadata": {},
"outputs": [],
"source": [
"omega200 = vort(subset200)\n",
"omega200_avg = omega200.mean(dim=[\"i_g\", \"j_g\"])"
]
},
{
"cell_type": "markdown",
"id": "8279b397-be87-4fd9-affb-5bc4c93c9f93",
"metadata": {},
"source": [
"In reality we want to save out results for each timestep to zarr (or continue analysing them in an embarrasingly-parallel manner) - taking the mean over `[\"i\", \"j\"]` (i.e latitude and longitude basically) is just a simpler way of creating a similar graph without the compute step creating a variable too big to hold in memory."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f778b7fc-1d29-4a21-a0f4-8658ff2a6004",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Result field is 0.01 MB'"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"f\"Result field is {omega200_avg.nbytes / 1e6 :.2f} MB\""
]
},
{
"cell_type": "markdown",
"id": "99124f33-59bd-4d4d-80f3-1345ac75da91",
"metadata": {},
"source": [
"The graph looks like this (for two timesteps, on one face):"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "177ff6dc-46c2-4625-918b-c37de137fdd7",
"metadata": {},
"outputs": [],
"source": [
"subset2 = ds.isel(time=slice(0, 2), face=0)\n",
"omega2 = vort(subset2)\n",
"omega2_avg = omega2.mean(dim=[\"i_g\", \"j_g\"])"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "70c135a8-abd7-486f-ae72-a4b334e696e2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment