Created
March 1, 2023 16:48
-
-
Save rabernat/8c53c380fbb38dcf556e85487960a847 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "bebb7708-afd1-4173-afe9-598f4b6633d0", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import zarr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "c4e0690e-d3cf-42f2-9755-d772a8e14fe9", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<zarr.hierarchy.Group '/GLDAS_NOAH025_3H.zarr' read-only>" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "store = zarr.ZipStore('GLDAS_NOAH025_3H.zarr.zip', mode='r')\n", | |
| "group = zarr.open_group(store, path=\"GLDAS_NOAH025_3H.zarr\", mode=\"r\")\n", | |
| "group" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "aaa2ad53-7fad-42ed-8f10-de393f626883", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "GLDAS_NOAH025_3H.zarr\n", | |
| " ├── Albedo_inst (6, 600, 1440) float32\n", | |
| " ├── AvgSurfT_inst (6, 600, 1440) float32\n", | |
| " ├── CanopInt_inst (6, 600, 1440) float32\n", | |
| " ├── ECanop_tavg (6, 600, 1440) float32\n", | |
| " ├── ESoil_tavg (6, 600, 1440) float32\n", | |
| " ├── Evap_tavg (6, 600, 1440) float32\n", | |
| " ├── LWdown_f_tavg (6, 600, 1440) float32\n", | |
| " ├── Lwnet_tavg (6, 600, 1440) float32\n", | |
| " ├── PotEvap_tavg (6, 600, 1440) float32\n", | |
| " ├── Psurf_f_inst (6, 600, 1440) float32\n", | |
| " ├── Qair_f_inst (6, 600, 1440) float32\n", | |
| " ├── Qg_tavg (6, 600, 1440) float32\n", | |
| " ├── Qh_tavg (6, 600, 1440) float32\n", | |
| " ├── Qle_tavg (6, 600, 1440) float32\n", | |
| " ├── Qs_acc (6, 600, 1440) float32\n", | |
| " ├── Qsb_acc (6, 600, 1440) float32\n", | |
| " ├── Qsm_acc (6, 600, 1440) float32\n", | |
| " ├── Rainf_f_tavg (6, 600, 1440) float32\n", | |
| " ├── Rainf_tavg (6, 600, 1440) float32\n", | |
| " ├── RootMoist_inst (6, 600, 1440) float32\n", | |
| " ├── SWE_inst (6, 600, 1440) float32\n", | |
| " ├── SWdown_f_tavg (6, 600, 1440) float32\n", | |
| " ├── SnowDepth_inst (6, 600, 1440) float32\n", | |
| " ├── Snowf_tavg (6, 600, 1440) float32\n", | |
| " ├── SoilMoi0_10cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilMoi100_200cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilMoi10_40cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilMoi40_100cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilTMP0_10cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilTMP100_200cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilTMP10_40cm_inst (6, 600, 1440) float32\n", | |
| " ├── SoilTMP40_100cm_inst (6, 600, 1440) float32\n", | |
| " ├── Swnet_tavg (6, 600, 1440) float32\n", | |
| " ├── Tair_f_inst (6, 600, 1440) float32\n", | |
| " ├── Tveg_tavg (6, 600, 1440) float32\n", | |
| " ├── Wind_f_inst (6, 600, 1440) float32\n", | |
| " ├── lat (600,) float32\n", | |
| " ├── lon (1440,) float32\n", | |
| " ├── time (6,) float64\n", | |
| " └── time_bnds (6, 2) float64\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "print(group.tree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "026231da-8b2f-4c10-868c-2547e2b4c442", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import xarray as xr\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "520ad510-ea3f-4e8c-8f99-a9eefc0c022a", | |
| "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-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\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", | |
| ".xr-index-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", | |
| ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-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", | |
| ".xr-no-icon {\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'><xarray.Dataset>\n", | |
| "Dimensions: (time: 6, lat: 600, lon: 1440, bnds: 2)\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 ... 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 ... 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022...\n", | |
| "Dimensions without coordinates: bnds\n", | |
| "Data variables: (12/37)\n", | |
| " Albedo_inst (time, lat, lon) float32 ...\n", | |
| " AvgSurfT_inst (time, lat, lon) float32 ...\n", | |
| " CanopInt_inst (time, lat, lon) float32 ...\n", | |
| " ECanop_tavg (time, lat, lon) float32 ...\n", | |
| " ESoil_tavg (time, lat, lon) float32 ...\n", | |
| " Evap_tavg (time, lat, lon) float32 ...\n", | |
| " ... ...\n", | |
| " SoilTMP40_100cm_inst (time, lat, lon) float32 ...\n", | |
| " Swnet_tavg (time, lat, lon) float32 ...\n", | |
| " Tair_f_inst (time, lat, lon) float32 ...\n", | |
| " Tveg_tavg (time, lat, lon) float32 ...\n", | |
| " Wind_f_inst (time, lat, lon) float32 ...\n", | |
| " time_bnds (time, bnds) datetime64[ns] ...\n", | |
| "Attributes: (12/20)\n", | |
| " CDI: Climate Data Interface version 1.9.8 (https://mpi...\n", | |
| " CDO: Climate Data Operators version 1.9.8 (https://mpi...\n", | |
| " Conventions: CF-1.6\n", | |
| " DX: 0.25\n", | |
| " DY: 0.25\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " ... ...\n", | |
| " institution: NASA GSFC\n", | |
| " missing_value: -9999.0\n", | |
| " references: Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peter...\n", | |
| " source: Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201\n", | |
| " tavg definition:: past 3-hour average\n", | |
| " title: GLDAS2.1 LIS land surface model output</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-32ba5370-73ed-4004-b82d-123f89e8ad35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32ba5370-73ed-4004-b82d-123f89e8ad35' 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>: 6</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-34def840-53f0-4422-8861-ac608f4eab7c' class='xr-section-summary-in' type='checkbox' checked><label for='section-34def840-53f0-4422-8861-ac608f4eab7c' class='xr-section-summary' >Coordinates: <span>(3)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-facde12c-ec45-4090-adc9-85e8d10a1a61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-facde12c-ec45-4090-adc9-85e8d10a1a61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f730346f-ded5-4068-8812-9a902ab06984' class='xr-var-data-in' type='checkbox'><label for='data-f730346f-ded5-4068-8812-9a902ab06984' 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>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'><pre>array([-59.875, -59.625, -59.375, ..., 89.375, 89.625, 89.875],\n", | |
| " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-dda7cb5f-e66e-4c9e-b7e6-e5310bf77b5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dda7cb5f-e66e-4c9e-b7e6-e5310bf77b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33e74d9f-9a13-4c32-8ee4-e3a9484bd096' class='xr-var-data-in' type='checkbox'><label for='data-33e74d9f-9a13-4c32-8ee4-e3a9484bd096' 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>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'><pre>array([-179.875, -179.625, -179.375, ..., 179.375, 179.625, 179.875],\n", | |
| " dtype=float32)</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'>2022-01-01T03:00:00 ... 2022-01-...</div><input id='attrs-58afffb0-d4ec-4597-a486-f8af0ee12186' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58afffb0-d4ec-4597-a486-f8af0ee12186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02836d4-5ad2-44a5-b3eb-5b4a860b4581' class='xr-var-data-in' type='checkbox'><label for='data-b02836d4-5ad2-44a5-b3eb-5b4a860b4581' 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>bounds :</span></dt><dd>time_bnds</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(['2022-01-01T03:00:00.000000000', '2022-01-01T06:00:00.000000000',\n", | |
| " '2022-01-01T09:00:00.000000000', '2022-01-01T12:00:00.000000000',\n", | |
| " '2022-01-01T15:00:00.000000000', '2022-01-01T18:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-968cc636-7bec-4aed-89c3-ab65f4fcd68e' class='xr-section-summary-in' type='checkbox' ><label for='section-968cc636-7bec-4aed-89c3-ab65f4fcd68e' class='xr-section-summary' >Data variables: <span>(37)</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>Albedo_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66195928-85d7-4b21-9a44-aae8956b2fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66195928-85d7-4b21-9a44-aae8956b2fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df286c82-0461-40da-aaf8-ea88431ee19f' class='xr-var-data-in' type='checkbox'><label for='data-df286c82-0461-40da-aaf8-ea88431ee19f' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Albedo</dd><dt><span>standard_name :</span></dt><dd>surface_albedo</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>vmax :</span></dt><dd>82.5</dd><dt><span>vmin :</span></dt><dd>5.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AvgSurfT_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc831721-4a97-4e09-b366-d91a8aa1f7fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc831721-4a97-4e09-b366-d91a8aa1f7fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05544ff0-db27-4aa8-8ff2-c405004df787' class='xr-var-data-in' type='checkbox'><label for='data-05544ff0-db27-4aa8-8ff2-c405004df787' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Average Surface Skin temperature</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>328.8056945800781</dd><dt><span>vmin :</span></dt><dd>212.4456787109375</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CanopInt_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5d5c846-923d-4a69-a49b-b9eaecd16a33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5d5c846-923d-4a69-a49b-b9eaecd16a33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e5b6148-4445-4b49-82b2-58340cda22ca' class='xr-var-data-in' type='checkbox'><label for='data-9e5b6148-4445-4b49-82b2-58340cda22ca' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Plant canopy surface water</dd><dt><span>standard_name :</span></dt><dd>canopy_water_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>0.5</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ECanop_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64aff636-a36c-4202-8555-f87585a31fbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64aff636-a36c-4202-8555-f87585a31fbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340b0fc8-95e8-4b36-a768-d1c3f3dd6a52' class='xr-var-data-in' type='checkbox'><label for='data-340b0fc8-95e8-4b36-a768-d1c3f3dd6a52' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Canopy water evaporation</dd><dt><span>standard_name :</span></dt><dd>evaporation_flux_from_canopy</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>503.32000732421875</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ESoil_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42caddd7-9a02-413a-8b3f-ef41ad05e4ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42caddd7-9a02-413a-8b3f-ef41ad05e4ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b2269cd-fc14-4169-a574-9875481c8c6b' class='xr-var-data-in' type='checkbox'><label for='data-6b2269cd-fc14-4169-a574-9875481c8c6b' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Direct Evaporation from Bare Soil</dd><dt><span>standard_name :</span></dt><dd>evaporation_flux_from_soil</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>300.010009765625</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Evap_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9464d547-435d-4909-bb6f-ffb36e248a53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9464d547-435d-4909-bb6f-ffb36e248a53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ba525be-9ac2-48ec-acc3-7b31f087688f' class='xr-var-data-in' type='checkbox'><label for='data-6ba525be-9ac2-48ec-acc3-7b31f087688f' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Evapotranspiration</dd><dt><span>standard_name :</span></dt><dd>water_evaporation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.00027633857098408043</dd><dt><span>vmin :</span></dt><dd>-1.7761434719432145e-05</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWdown_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85c1e165-7143-43c7-a372-21fb33c35b23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c1e165-7143-43c7-a372-21fb33c35b23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5e2f09-f2a3-4801-bc64-7aa1c043fc9b' class='xr-var-data-in' type='checkbox'><label for='data-8d5e2f09-f2a3-4801-bc64-7aa1c043fc9b' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Downward long-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>477.1092529296875</dd><dt><span>vmin :</span></dt><dd>94.05926513671875</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lwnet_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5e5abbc-1e0c-4a6d-8cd4-c6ab0a9d3df4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5e5abbc-1e0c-4a6d-8cd4-c6ab0a9d3df4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57aa4c8b-0be0-4c61-9667-e1987046e03c' class='xr-var-data-in' type='checkbox'><label for='data-57aa4c8b-0be0-4c61-9667-e1987046e03c' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Net long-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_longwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>29.429414749145508</dd><dt><span>vmin :</span></dt><dd>-246.9005889892578</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PotEvap_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c875e3ec-3d23-4190-9513-5f546974b017' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c875e3ec-3d23-4190-9513-5f546974b017' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3c6b27e-14d2-4814-858f-8519cc9ed4a8' class='xr-var-data-in' type='checkbox'><label for='data-a3c6b27e-14d2-4814-858f-8519cc9ed4a8' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Potential evaporation rate</dd><dt><span>standard_name :</span></dt><dd>potential_evaporation_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>1219.8487548828125</dd><dt><span>vmin :</span></dt><dd>-45.171226501464844</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Psurf_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f6d2031-cc3d-47df-b3e2-9985c116ed2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f6d2031-cc3d-47df-b3e2-9985c116ed2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7faa8501-895d-4e63-bd4c-199680664fab' class='xr-var-data-in' type='checkbox'><label for='data-7faa8501-895d-4e63-bd4c-199680664fab' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vmax :</span></dt><dd>104701.1171875</dd><dt><span>vmin :</span></dt><dd>47926.21875</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qair_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7074126-29d1-4e4f-a699-321b168b070a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7074126-29d1-4e4f-a699-321b168b070a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70751344-f218-4edd-a21a-f093d9928583' class='xr-var-data-in' type='checkbox'><label for='data-70751344-f218-4edd-a21a-f093d9928583' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vmax :</span></dt><dd>0.02115384303033352</dd><dt><span>vmin :</span></dt><dd>2.384381696174387e-05</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qg_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-382d651c-d1e7-46f9-99b8-dd8190aa70e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-382d651c-d1e7-46f9-99b8-dd8190aa70e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e865aaa0-5d3b-4b6a-97bc-d44f40a8e681' class='xr-var-data-in' type='checkbox'><label for='data-e865aaa0-5d3b-4b6a-97bc-d44f40a8e681' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Heat flux</dd><dt><span>standard_name :</span></dt><dd>downward_heat_flux_in_soil</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>285.87841796875</dd><dt><span>vmin :</span></dt><dd>-161.4015655517578</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qh_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e72fb9f-8f44-43a8-9899-14b97de9eefd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e72fb9f-8f44-43a8-9899-14b97de9eefd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff2555a6-4b4a-46e3-a75b-a3b4e16d1fa8' class='xr-var-data-in' type='checkbox'><label for='data-ff2555a6-4b4a-46e3-a75b-a3b4e16d1fa8' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Sensible heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>552.9645385742188</dd><dt><span>vmin :</span></dt><dd>-178.6654815673828</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qle_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7aa89fa8-9670-4282-869d-b5b610b90b63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7aa89fa8-9670-4282-869d-b5b610b90b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0410ee2c-84db-4eeb-a869-62586e7b1fba' class='xr-var-data-in' type='checkbox'><label for='data-0410ee2c-84db-4eeb-a869-62586e7b1fba' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Latent heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>691.0987548828125</dd><dt><span>vmin :</span></dt><dd>-45.171226501464844</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qs_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4be839cf-6a09-499a-a0b7-d15932ffd5de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4be839cf-6a09-499a-a0b7-d15932ffd5de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb214ddd-3f1f-4952-81fb-1b3d42484399' class='xr-var-data-in' type='checkbox'><label for='data-fb214ddd-3f1f-4952-81fb-1b3d42484399' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Storm surface runoff</dd><dt><span>standard_name :</span></dt><dd>surface_runoff_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>18.928800582885742</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qsb_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-985f8b43-ac8e-42ee-9981-192a586c2234' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-985f8b43-ac8e-42ee-9981-192a586c2234' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-298fc2d5-00f3-4ff5-a9cd-e546235d3bdc' class='xr-var-data-in' type='checkbox'><label for='data-298fc2d5-00f3-4ff5-a9cd-e546235d3bdc' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Baseflow-groundwater runoff</dd><dt><span>standard_name :</span></dt><dd>subsurface_runoff_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>8.28145980834961</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qsm_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-007acfcf-053f-422a-8ebf-971c882612ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-007acfcf-053f-422a-8ebf-971c882612ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7431e9fb-b1af-482f-bf0f-2397ad8e8938' class='xr-var-data-in' type='checkbox'><label for='data-7431e9fb-b1af-482f-bf0f-2397ad8e8938' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Snow melt</dd><dt><span>standard_name :</span></dt><dd>surface_snow_melt_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>7.05019998550415</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c4f9316-6f27-4151-a1b6-0782afd2487e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4f9316-6f27-4151-a1b6-0782afd2487e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-206052d9-12dd-400a-bb72-4d40a7dc0981' class='xr-var-data-in' type='checkbox'><label for='data-206052d9-12dd-400a-bb72-4d40a7dc0981' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Total precipitation rate</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0036486999597400427</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f329d053-7e7b-4e27-932e-2bbc9cd6bb04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f329d053-7e7b-4e27-932e-2bbc9cd6bb04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0203623-1377-465b-bede-49c3e44b88c9' class='xr-var-data-in' type='checkbox'><label for='data-a0203623-1377-465b-bede-49c3e44b88c9' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Rain precipitation rate</dd><dt><span>standard_name :</span></dt><dd>rainfall_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0036486999597400427</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RootMoist_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9441bd4-87e3-4edb-a541-fcd4339743ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9441bd4-87e3-4edb-a541-fcd4339743ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fbf66a9-ee36-4e77-b3eb-4956fe5b5827' class='xr-var-data-in' type='checkbox'><label for='data-9fbf66a9-ee36-4e77-b3eb-4956fe5b5827' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Root zone soil moisture</dd><dt><span>standard_name :</span></dt><dd>root_zone_soil_moisture</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>903.6281127929688</dd><dt><span>vmin :</span></dt><dd>2.0000898838043213</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWE_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c2aa28b-ae81-4b4d-ac01-7d2d6f8dd70f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c2aa28b-ae81-4b4d-ac01-7d2d6f8dd70f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34c25a1d-ff45-484f-85bd-d6c2731efdf6' class='xr-var-data-in' type='checkbox'><label for='data-34c25a1d-ff45-484f-85bd-d6c2731efdf6' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Snow depth water equivalent</dd><dt><span>standard_name :</span></dt><dd>surface_snow_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>115470.796875</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWdown_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-501a3a3f-55f9-4663-9751-bd81d1bc9e5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-501a3a3f-55f9-4663-9751-bd81d1bc9e5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72df3ee5-eb73-4e68-a610-c7abbe6eb381' class='xr-var-data-in' type='checkbox'><label for='data-72df3ee5-eb73-4e68-a610-c7abbe6eb381' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Downward short-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>1126.469970703125</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SnowDepth_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13c4d82d-6dd7-4696-ad64-f651f3f70af2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c4d82d-6dd7-4696-ad64-f651f3f70af2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cc8da92-fbca-47b7-b310-1bb725e0c922' class='xr-var-data-in' type='checkbox'><label for='data-6cc8da92-fbca-47b7-b310-1bb725e0c922' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>surface_snow_thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vmax :</span></dt><dd>438.30609130859375</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Snowf_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bf73d64-2dee-48bb-9df1-96dc85533d68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bf73d64-2dee-48bb-9df1-96dc85533d68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59880c06-a9f0-42af-99da-56da19925d63' class='xr-var-data-in' type='checkbox'><label for='data-59880c06-a9f0-42af-99da-56da19925d63' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Snow precipitation rate</dd><dt><span>standard_name :</span></dt><dd>snowfall_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0029235000256448984</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi0_10cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a348dc8-6599-46b3-a76a-b70efb0b801a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a348dc8-6599-46b3-a76a-b70efb0b801a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-435cc8ff-b2f6-4814-bd31-5144ad99d297' class='xr-var-data-in' type='checkbox'><label for='data-435cc8ff-b2f6-4814-bd31-5144ad99d297' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>100.0</dd><dt><span>vmin :</span></dt><dd>2.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi100_200cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ba64f88-e5bd-4c27-9f4e-b931d770689b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ba64f88-e5bd-4c27-9f4e-b931d770689b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62a68932-7dc0-466c-9602-f71fc95d8844' class='xr-var-data-in' type='checkbox'><label for='data-62a68932-7dc0-466c-9602-f71fc95d8844' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>1000.0001831054688</dd><dt><span>vmin :</span></dt><dd>23.954193115234375</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi10_40cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54c6534b-2732-4dc9-a57a-ff617af74180' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54c6534b-2732-4dc9-a57a-ff617af74180' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b12fa49-530f-4ed7-b714-c45df18837d3' class='xr-var-data-in' type='checkbox'><label for='data-8b12fa49-530f-4ed7-b714-c45df18837d3' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>299.99969482421875</dd><dt><span>vmin :</span></dt><dd>6.298698902130127</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi40_100cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e312faf6-e3e7-4d3c-bfa8-8abf8dbb2e52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e312faf6-e3e7-4d3c-bfa8-8abf8dbb2e52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc8ad0ed-6e19-47e8-bcc2-ddccafd0144e' class='xr-var-data-in' type='checkbox'><label for='data-bc8ad0ed-6e19-47e8-bcc2-ddccafd0144e' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>600.0</dd><dt><span>vmin :</span></dt><dd>12.000000953674316</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP0_10cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4c9fb83-74f1-4363-9def-0301c295818f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4c9fb83-74f1-4363-9def-0301c295818f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e658cea-6ef4-4d66-828e-aabacc46dfb2' class='xr-var-data-in' type='checkbox'><label for='data-5e658cea-6ef4-4d66-828e-aabacc46dfb2' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>319.7933349609375</dd><dt><span>vmin :</span></dt><dd>236.76332092285156</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP100_200cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10cad7c1-6db7-4694-a306-7f354f041c09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10cad7c1-6db7-4694-a306-7f354f041c09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d616de0f-ff09-4e2f-afb2-98ac427743c1' class='xr-var-data-in' type='checkbox'><label for='data-d616de0f-ff09-4e2f-afb2-98ac427743c1' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>308.357666015625</dd><dt><span>vmin :</span></dt><dd>248.8076629638672</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP10_40cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2bc6818-b8c6-46e0-b7da-3ebf63a0353e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2bc6818-b8c6-46e0-b7da-3ebf63a0353e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1480793-40e8-4476-a4ea-762f63bb5979' class='xr-var-data-in' type='checkbox'><label for='data-a1480793-40e8-4476-a4ea-762f63bb5979' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>310.0907897949219</dd><dt><span>vmin :</span></dt><dd>242.0207977294922</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP40_100cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d6f0f94-a1d6-46e6-a287-6a509ad1e872' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d6f0f94-a1d6-46e6-a287-6a509ad1e872' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e771e42-6b0d-4da2-b20b-799ec545460b' class='xr-var-data-in' type='checkbox'><label for='data-9e771e42-6b0d-4da2-b20b-799ec545460b' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>309.899169921875</dd><dt><span>vmin :</span></dt><dd>245.8591766357422</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Swnet_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28b4074d-e878-4fef-93f4-e0fe5b0d5e17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28b4074d-e878-4fef-93f4-e0fe5b0d5e17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc5a0358-0f03-4bed-a6fe-aca4bf678f05' class='xr-var-data-in' type='checkbox'><label for='data-dc5a0358-0f03-4bed-a6fe-aca4bf678f05' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Net short wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>990.6900024414062</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5c80fed-4143-40d0-8dcf-6b22eeff0741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5c80fed-4143-40d0-8dcf-6b22eeff0741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3c29cdf-1deb-47b5-9aa3-5cfc5a4b2d87' class='xr-var-data-in' type='checkbox'><label for='data-d3c29cdf-1deb-47b5-9aa3-5cfc5a4b2d87' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>316.70831298828125</dd><dt><span>vmin :</span></dt><dd>222.22830200195312</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tveg_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e532ac0a-a348-45dc-8f66-c26087e2a127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e532ac0a-a348-45dc-8f66-c26087e2a127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0244d11-804c-4902-8065-8b35240545a6' class='xr-var-data-in' type='checkbox'><label for='data-f0244d11-804c-4902-8065-8b35240545a6' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Transpiration</dd><dt><span>standard_name :</span></dt><dd>transpiration_flux_from_veg</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>569.260009765625</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d887aac-0d19-45a8-85cb-b01bafe7e6fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d887aac-0d19-45a8-85cb-b01bafe7e6fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3f49e9-ab1f-42c8-8acf-d489c92ee7a8' class='xr-var-data-in' type='checkbox'><label for='data-5e3f49e9-ab1f-42c8-8acf-d489c92ee7a8' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vmax :</span></dt><dd>21.107500076293945</dd><dt><span>vmin :</span></dt><dd>0.007499996572732925</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-479bcb64-d05f-458e-9696-c9a1330c2da4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-479bcb64-d05f-458e-9696-c9a1330c2da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7287608-eb27-4c3f-a881-5c66da7c40ac' class='xr-var-data-in' type='checkbox'><label for='data-e7287608-eb27-4c3f-a881-5c66da7c40ac' 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'><pre>[12 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80524fbe-a31e-49e8-8afd-4e4189d8989a' class='xr-section-summary-in' type='checkbox' ><label for='section-80524fbe-a31e-49e8-8afd-4e4189d8989a' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-64ee64fe-362b-4680-8d08-55fc1061f0dd' class='xr-index-data-in' type='checkbox'/><label for='index-64ee64fe-362b-4680-8d08-55fc1061f0dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375,\n", | |
| " -58.125, -57.875, -57.625,\n", | |
| " ...\n", | |
| " 87.625, 87.875, 88.125, 88.375, 88.625, 88.875, 89.125,\n", | |
| " 89.375, 89.625, 89.875],\n", | |
| " dtype='float64', name='lat', length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1503d540-0938-4fac-9423-e99a5853f66b' class='xr-index-data-in' type='checkbox'/><label for='index-1503d540-0938-4fac-9423-e99a5853f66b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625,\n", | |
| " -178.375, -178.125, -177.875, -177.625,\n", | |
| " ...\n", | |
| " 177.625, 177.875, 178.125, 178.375, 178.625, 178.875,\n", | |
| " 179.125, 179.375, 179.625, 179.875],\n", | |
| " dtype='float64', name='lon', length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ccfb7df0-7722-4029-88be-96d0c7ce9ba8' class='xr-index-data-in' type='checkbox'/><label for='index-ccfb7df0-7722-4029-88be-96d0c7ce9ba8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2022-01-01 03:00:00', '2022-01-01 06:00:00',\n", | |
| " '2022-01-01 09:00:00', '2022-01-01 12:00:00',\n", | |
| " '2022-01-01 15:00:00', '2022-01-01 18:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f86bd4d-3726-4c25-b8d4-f590b430ea0b' class='xr-section-summary-in' type='checkbox' ><label for='section-3f86bd4d-3726-4c25-b8d4-f590b430ea0b' class='xr-section-summary' >Attributes: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>DX :</span></dt><dd>0.25</dd><dt><span>DY :</span></dt><dd>0.25</dd><dt><span>MAP_PROJECTION :</span></dt><dd>EQUIDISTANT CYLINDRICAL</dd><dt><span>SOUTH_WEST_CORNER_LAT :</span></dt><dd>-59.875</dd><dt><span>SOUTH_WEST_CORNER_LON :</span></dt><dd>-179.875</dd><dt><span>acc definition: :</span></dt><dd>past 3-hour accumulation</dd><dt><span>comment :</span></dt><dd>website: https://ldas.gsfc.nasa.gov/gldas, https://lis.gsfc.nasa.gov/</dd><dt><span>conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>created on date: 2022-04-12T13:18:03.004</dd><dt><span>history_L34RS :</span></dt><dd>'Created by L34RS v1.4.3 @ NASA GES DISC on March 01 2023 15:32:58. Spatial: -180.0 180.0 -60.0 90.0'</dd><dt><span>inst definition: :</span></dt><dd>instantaneous</dd><dt><span>institution :</span></dt><dd>NASA GSFC</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>references :</span></dt><dd>Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peters-Lidard_etal_ISSE_2007</dd><dt><span>source :</span></dt><dd>Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201</dd><dt><span>tavg definition: :</span></dt><dd>past 3-hour average</dd><dt><span>title :</span></dt><dd>GLDAS2.1 LIS land surface model output</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (time: 6, lat: 600, lon: 1440, bnds: 2)\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 ... 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 ... 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022...\n", | |
| "Dimensions without coordinates: bnds\n", | |
| "Data variables: (12/37)\n", | |
| " Albedo_inst (time, lat, lon) float32 ...\n", | |
| " AvgSurfT_inst (time, lat, lon) float32 ...\n", | |
| " CanopInt_inst (time, lat, lon) float32 ...\n", | |
| " ECanop_tavg (time, lat, lon) float32 ...\n", | |
| " ESoil_tavg (time, lat, lon) float32 ...\n", | |
| " Evap_tavg (time, lat, lon) float32 ...\n", | |
| " ... ...\n", | |
| " SoilTMP40_100cm_inst (time, lat, lon) float32 ...\n", | |
| " Swnet_tavg (time, lat, lon) float32 ...\n", | |
| " Tair_f_inst (time, lat, lon) float32 ...\n", | |
| " Tveg_tavg (time, lat, lon) float32 ...\n", | |
| " Wind_f_inst (time, lat, lon) float32 ...\n", | |
| " time_bnds (time, bnds) datetime64[ns] ...\n", | |
| "Attributes: (12/20)\n", | |
| " CDI: Climate Data Interface version 1.9.8 (https://mpi...\n", | |
| " CDO: Climate Data Operators version 1.9.8 (https://mpi...\n", | |
| " Conventions: CF-1.6\n", | |
| " DX: 0.25\n", | |
| " DY: 0.25\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " ... ...\n", | |
| " institution: NASA GSFC\n", | |
| " missing_value: -9999.0\n", | |
| " references: Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peter...\n", | |
| " source: Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201\n", | |
| " tavg definition:: past 3-hour average\n", | |
| " title: GLDAS2.1 LIS land surface model output" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds = xr.open_dataset(store, engine=\"zarr\", group=\"GLDAS_NOAH025_3H.zarr\", consolidated=False)\n", | |
| "ds" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "3f0a4ccc-5a8c-4315-9e8a-7e789e33dbd1", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import rioxarray" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "91f0a082-b736-4566-9a97-e020c3a1b51e", | |
| "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-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\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", | |
| ".xr-index-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", | |
| ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-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", | |
| ".xr-no-icon {\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'><xarray.Dataset>\n", | |
| "Dimensions: (time: 6, lat: 600, lon: 1440, bnds: 2)\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 ... 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 ... 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022...\n", | |
| "Dimensions without coordinates: bnds\n", | |
| "Data variables: (12/37)\n", | |
| " Albedo_inst (time, lat, lon) float32 ...\n", | |
| " AvgSurfT_inst (time, lat, lon) float32 ...\n", | |
| " CanopInt_inst (time, lat, lon) float32 ...\n", | |
| " ECanop_tavg (time, lat, lon) float32 ...\n", | |
| " ESoil_tavg (time, lat, lon) float32 ...\n", | |
| " Evap_tavg (time, lat, lon) float32 ...\n", | |
| " ... ...\n", | |
| " SoilTMP40_100cm_inst (time, lat, lon) float32 ...\n", | |
| " Swnet_tavg (time, lat, lon) float32 ...\n", | |
| " Tair_f_inst (time, lat, lon) float32 ...\n", | |
| " Tveg_tavg (time, lat, lon) float32 ...\n", | |
| " Wind_f_inst (time, lat, lon) float32 ...\n", | |
| " time_bnds (time, bnds) datetime64[ns] ...\n", | |
| "Attributes: (12/20)\n", | |
| " CDI: Climate Data Interface version 1.9.8 (https://mpi...\n", | |
| " CDO: Climate Data Operators version 1.9.8 (https://mpi...\n", | |
| " Conventions: CF-1.6\n", | |
| " DX: 0.25\n", | |
| " DY: 0.25\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " ... ...\n", | |
| " institution: NASA GSFC\n", | |
| " missing_value: -9999.0\n", | |
| " references: Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peter...\n", | |
| " source: Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201\n", | |
| " tavg definition:: past 3-hour average\n", | |
| " title: GLDAS2.1 LIS land surface model output</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-e6e1c4a1-e2e8-49e0-8d78-9bacd093cd36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6e1c4a1-e2e8-49e0-8d78-9bacd093cd36' 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>: 6</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3dbabcf-1998-4ddb-ad91-380bf1de207b' class='xr-section-summary-in' type='checkbox' checked><label for='section-b3dbabcf-1998-4ddb-ad91-380bf1de207b' class='xr-section-summary' >Coordinates: <span>(3)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-fcf9641c-de08-4ca3-ad41-c7150ccc675a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcf9641c-de08-4ca3-ad41-c7150ccc675a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fa0e7e5-9837-4875-88f6-6ba56b0b0265' class='xr-var-data-in' type='checkbox'><label for='data-8fa0e7e5-9837-4875-88f6-6ba56b0b0265' 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>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'><pre>array([-59.875, -59.625, -59.375, ..., 89.375, 89.625, 89.875],\n", | |
| " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-22c4c581-f524-42f3-ab85-cdd0f1e8dda6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22c4c581-f524-42f3-ab85-cdd0f1e8dda6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7af9d032-cbd3-4d1f-ad59-4368ccb02136' class='xr-var-data-in' type='checkbox'><label for='data-7af9d032-cbd3-4d1f-ad59-4368ccb02136' 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>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'><pre>array([-179.875, -179.625, -179.375, ..., 179.375, 179.625, 179.875],\n", | |
| " dtype=float32)</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'>2022-01-01T03:00:00 ... 2022-01-...</div><input id='attrs-95a2caef-acec-4583-8d7c-71f5b65ab6cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95a2caef-acec-4583-8d7c-71f5b65ab6cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c1265e-33c6-4b63-b4fc-dd7ef9379e84' class='xr-var-data-in' type='checkbox'><label for='data-15c1265e-33c6-4b63-b4fc-dd7ef9379e84' 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>bounds :</span></dt><dd>time_bnds</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(['2022-01-01T03:00:00.000000000', '2022-01-01T06:00:00.000000000',\n", | |
| " '2022-01-01T09:00:00.000000000', '2022-01-01T12:00:00.000000000',\n", | |
| " '2022-01-01T15:00:00.000000000', '2022-01-01T18:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5117e3c-30f3-4fe5-ab60-8f7152bdde2d' class='xr-section-summary-in' type='checkbox' ><label for='section-a5117e3c-30f3-4fe5-ab60-8f7152bdde2d' class='xr-section-summary' >Data variables: <span>(37)</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>Albedo_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-153a80be-4f36-4d1d-a296-33deebb50196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-153a80be-4f36-4d1d-a296-33deebb50196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fe3879a-73c0-40eb-bdaf-5450eef715f3' class='xr-var-data-in' type='checkbox'><label for='data-6fe3879a-73c0-40eb-bdaf-5450eef715f3' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Albedo</dd><dt><span>standard_name :</span></dt><dd>surface_albedo</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>vmax :</span></dt><dd>82.5</dd><dt><span>vmin :</span></dt><dd>5.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AvgSurfT_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92374cd5-af29-4473-a4f9-bc7fe798f457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92374cd5-af29-4473-a4f9-bc7fe798f457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-904cd28b-63ba-48f2-9d88-aa6ea483434a' class='xr-var-data-in' type='checkbox'><label for='data-904cd28b-63ba-48f2-9d88-aa6ea483434a' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Average Surface Skin temperature</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>328.8056945800781</dd><dt><span>vmin :</span></dt><dd>212.4456787109375</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CanopInt_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21b4484a-0c0e-4484-ab99-a2f6a0843682' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21b4484a-0c0e-4484-ab99-a2f6a0843682' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-552734dd-e3ac-44bf-9ee3-abcd09a79f72' class='xr-var-data-in' type='checkbox'><label for='data-552734dd-e3ac-44bf-9ee3-abcd09a79f72' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Plant canopy surface water</dd><dt><span>standard_name :</span></dt><dd>canopy_water_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>0.5</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ECanop_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d665a8a6-fbad-461b-8695-eabe238a2d00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d665a8a6-fbad-461b-8695-eabe238a2d00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f26911-3aef-4498-a029-e4524e9f9834' class='xr-var-data-in' type='checkbox'><label for='data-00f26911-3aef-4498-a029-e4524e9f9834' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Canopy water evaporation</dd><dt><span>standard_name :</span></dt><dd>evaporation_flux_from_canopy</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>503.32000732421875</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ESoil_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eb7835d-e1cc-4764-9713-ae532bf63720' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eb7835d-e1cc-4764-9713-ae532bf63720' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2e588e8-47de-40d8-8284-990be904bca4' class='xr-var-data-in' type='checkbox'><label for='data-f2e588e8-47de-40d8-8284-990be904bca4' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Direct Evaporation from Bare Soil</dd><dt><span>standard_name :</span></dt><dd>evaporation_flux_from_soil</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>300.010009765625</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Evap_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38086eeb-4dee-4ff5-bfad-3edc4387dc91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38086eeb-4dee-4ff5-bfad-3edc4387dc91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8bc6194-764a-4e82-9def-53869139e594' class='xr-var-data-in' type='checkbox'><label for='data-a8bc6194-764a-4e82-9def-53869139e594' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Evapotranspiration</dd><dt><span>standard_name :</span></dt><dd>water_evaporation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.00027633857098408043</dd><dt><span>vmin :</span></dt><dd>-1.7761434719432145e-05</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWdown_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b96f4048-8e36-46c0-8ca0-7c5fb5369593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b96f4048-8e36-46c0-8ca0-7c5fb5369593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da9397f8-2bb0-4769-ad24-47b840fc9080' class='xr-var-data-in' type='checkbox'><label for='data-da9397f8-2bb0-4769-ad24-47b840fc9080' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Downward long-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>477.1092529296875</dd><dt><span>vmin :</span></dt><dd>94.05926513671875</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lwnet_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aff25ba-659f-4435-8137-aea245f541fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aff25ba-659f-4435-8137-aea245f541fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efc1c241-a64f-4920-b124-935fa76e492e' class='xr-var-data-in' type='checkbox'><label for='data-efc1c241-a64f-4920-b124-935fa76e492e' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Net long-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_longwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>29.429414749145508</dd><dt><span>vmin :</span></dt><dd>-246.9005889892578</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PotEvap_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42756fd2-d7b7-49e4-960e-786b5c36244c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42756fd2-d7b7-49e4-960e-786b5c36244c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b23e8bd5-9316-4d18-9c1b-14bff9f93f04' class='xr-var-data-in' type='checkbox'><label for='data-b23e8bd5-9316-4d18-9c1b-14bff9f93f04' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Potential evaporation rate</dd><dt><span>standard_name :</span></dt><dd>potential_evaporation_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>1219.8487548828125</dd><dt><span>vmin :</span></dt><dd>-45.171226501464844</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Psurf_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-048ed9c3-b180-408c-a826-9f7f5770d66e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-048ed9c3-b180-408c-a826-9f7f5770d66e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-961051c5-dbcf-444a-8a05-a4d35b16f46a' class='xr-var-data-in' type='checkbox'><label for='data-961051c5-dbcf-444a-8a05-a4d35b16f46a' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Pressure</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>vmax :</span></dt><dd>104701.1171875</dd><dt><span>vmin :</span></dt><dd>47926.21875</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qair_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02fac302-4f1b-45e5-945c-6221cfac89ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fac302-4f1b-45e5-945c-6221cfac89ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7160902b-a00a-4311-a645-83057c02c937' class='xr-var-data-in' type='checkbox'><label for='data-7160902b-a00a-4311-a645-83057c02c937' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>vmax :</span></dt><dd>0.02115384303033352</dd><dt><span>vmin :</span></dt><dd>2.384381696174387e-05</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qg_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-837ce200-be53-4d12-8cdc-cdcee0bc704d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-837ce200-be53-4d12-8cdc-cdcee0bc704d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4ebfabb-d066-418b-ad7e-091e275b8855' class='xr-var-data-in' type='checkbox'><label for='data-a4ebfabb-d066-418b-ad7e-091e275b8855' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Heat flux</dd><dt><span>standard_name :</span></dt><dd>downward_heat_flux_in_soil</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>285.87841796875</dd><dt><span>vmin :</span></dt><dd>-161.4015655517578</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qh_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04aa2f06-d8df-422f-8b5f-b9374c4bdf1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04aa2f06-d8df-422f-8b5f-b9374c4bdf1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-726d34bf-10cd-4691-b8af-7797bacc0e4d' class='xr-var-data-in' type='checkbox'><label for='data-726d34bf-10cd-4691-b8af-7797bacc0e4d' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Sensible heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>552.9645385742188</dd><dt><span>vmin :</span></dt><dd>-178.6654815673828</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qle_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11c656a7-bc08-4610-92ed-06dff713ae63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c656a7-bc08-4610-92ed-06dff713ae63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4320958-8e40-4086-ba57-6a2c3aea5fa7' class='xr-var-data-in' type='checkbox'><label for='data-a4320958-8e40-4086-ba57-6a2c3aea5fa7' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Latent heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>691.0987548828125</dd><dt><span>vmin :</span></dt><dd>-45.171226501464844</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qs_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aeef32a2-74ac-43cf-987c-81ca4d240061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeef32a2-74ac-43cf-987c-81ca4d240061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac049d7b-5c3c-449e-8fec-2ca3950c6acc' class='xr-var-data-in' type='checkbox'><label for='data-ac049d7b-5c3c-449e-8fec-2ca3950c6acc' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Storm surface runoff</dd><dt><span>standard_name :</span></dt><dd>surface_runoff_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>18.928800582885742</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qsb_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2a22e2b-b6ed-44d3-902a-47dd6fb774ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2a22e2b-b6ed-44d3-902a-47dd6fb774ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf016729-a055-45af-aa68-7ceb067b022f' class='xr-var-data-in' type='checkbox'><label for='data-cf016729-a055-45af-aa68-7ceb067b022f' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Baseflow-groundwater runoff</dd><dt><span>standard_name :</span></dt><dd>subsurface_runoff_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>8.28145980834961</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qsm_acc</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13b6a51e-c0d9-4b7b-ab5d-fee121c87ba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13b6a51e-c0d9-4b7b-ab5d-fee121c87ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b1dd2d9-b96c-4efa-a4ef-f3655bfa0fd0' class='xr-var-data-in' type='checkbox'><label for='data-7b1dd2d9-b96c-4efa-a4ef-f3655bfa0fd0' 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>cell_methods :</span></dt><dd>time: sum</dd><dt><span>long_name :</span></dt><dd>Snow melt</dd><dt><span>standard_name :</span></dt><dd>surface_snow_melt_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>7.05019998550415</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fd93b84-f286-4bec-a2e3-6cedf60549c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fd93b84-f286-4bec-a2e3-6cedf60549c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d9811f1-110c-4ef3-8f2c-ebe94361181f' class='xr-var-data-in' type='checkbox'><label for='data-9d9811f1-110c-4ef3-8f2c-ebe94361181f' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Total precipitation rate</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0036486999597400427</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9aeaab72-1132-4748-8922-dcb305e14093' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aeaab72-1132-4748-8922-dcb305e14093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b5a9c65-cf12-4d55-b196-c9c48a08ff38' class='xr-var-data-in' type='checkbox'><label for='data-7b5a9c65-cf12-4d55-b196-c9c48a08ff38' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Rain precipitation rate</dd><dt><span>standard_name :</span></dt><dd>rainfall_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0036486999597400427</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RootMoist_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61acd614-76ad-4184-857c-0e213f16e418' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61acd614-76ad-4184-857c-0e213f16e418' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f11627a-5da5-423d-b4a6-820dc4542db1' class='xr-var-data-in' type='checkbox'><label for='data-7f11627a-5da5-423d-b4a6-820dc4542db1' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Root zone soil moisture</dd><dt><span>standard_name :</span></dt><dd>root_zone_soil_moisture</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>903.6281127929688</dd><dt><span>vmin :</span></dt><dd>2.0000898838043213</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWE_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f69a5d48-4144-4cb8-a0a3-bcda2b897489' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f69a5d48-4144-4cb8-a0a3-bcda2b897489' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-714d25b8-8ff0-4eb1-9735-e833684b137a' class='xr-var-data-in' type='checkbox'><label for='data-714d25b8-8ff0-4eb1-9735-e833684b137a' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Snow depth water equivalent</dd><dt><span>standard_name :</span></dt><dd>surface_snow_amount</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>115470.796875</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWdown_f_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac9cdacb-9185-4f91-be1d-9ebe20446d28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac9cdacb-9185-4f91-be1d-9ebe20446d28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7cc82d8-51d5-4134-8c95-2d1386123a30' class='xr-var-data-in' type='checkbox'><label for='data-a7cc82d8-51d5-4134-8c95-2d1386123a30' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Downward short-wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>1126.469970703125</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SnowDepth_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-defac4d5-2417-404b-a2a3-a74d8abc07b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-defac4d5-2417-404b-a2a3-a74d8abc07b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49af7d34-f666-44ee-8330-bfbbd150ffa8' class='xr-var-data-in' type='checkbox'><label for='data-49af7d34-f666-44ee-8330-bfbbd150ffa8' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Snow depth</dd><dt><span>standard_name :</span></dt><dd>surface_snow_thickness</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>vmax :</span></dt><dd>438.30609130859375</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Snowf_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7682edf-4e6c-40ea-b443-96a6ce9cf7c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7682edf-4e6c-40ea-b443-96a6ce9cf7c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad85dd3a-9f15-436e-a46d-af32142f405e' class='xr-var-data-in' type='checkbox'><label for='data-ad85dd3a-9f15-436e-a46d-af32142f405e' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Snow precipitation rate</dd><dt><span>standard_name :</span></dt><dd>snowfall_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>vmax :</span></dt><dd>0.0029235000256448984</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi0_10cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fa40928-8c37-40b8-961f-a593c8d9f053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fa40928-8c37-40b8-961f-a593c8d9f053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8599b73-f030-4c3b-8833-3384a2d0529b' class='xr-var-data-in' type='checkbox'><label for='data-f8599b73-f030-4c3b-8833-3384a2d0529b' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>100.0</dd><dt><span>vmin :</span></dt><dd>2.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi100_200cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-761bf971-1d36-445f-9c47-3bc22d275fe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-761bf971-1d36-445f-9c47-3bc22d275fe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d0539d1-ad59-45fe-81a2-0986e69465e2' class='xr-var-data-in' type='checkbox'><label for='data-2d0539d1-ad59-45fe-81a2-0986e69465e2' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>1000.0001831054688</dd><dt><span>vmin :</span></dt><dd>23.954193115234375</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi10_40cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b823655b-afc7-4ad4-a13d-3f65ebd83e4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b823655b-afc7-4ad4-a13d-3f65ebd83e4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae297af2-a49e-4e53-9b0f-5ba0865696f5' class='xr-var-data-in' type='checkbox'><label for='data-ae297af2-a49e-4e53-9b0f-5ba0865696f5' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>299.99969482421875</dd><dt><span>vmin :</span></dt><dd>6.298698902130127</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilMoi40_100cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-471aca88-5c61-441d-98dd-945c8876085e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-471aca88-5c61-441d-98dd-945c8876085e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55fcb55d-f274-441e-aed3-70ec001f8389' class='xr-var-data-in' type='checkbox'><label for='data-55fcb55d-f274-441e-aed3-70ec001f8389' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil moisture</dd><dt><span>standard_name :</span></dt><dd>soil_moisture_content</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>vmax :</span></dt><dd>600.0</dd><dt><span>vmin :</span></dt><dd>12.000000953674316</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP0_10cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2070ba48-ce67-4a85-ad36-b863be22737b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2070ba48-ce67-4a85-ad36-b863be22737b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12d57396-ba2d-4980-a733-4c248af34057' class='xr-var-data-in' type='checkbox'><label for='data-12d57396-ba2d-4980-a733-4c248af34057' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>319.7933349609375</dd><dt><span>vmin :</span></dt><dd>236.76332092285156</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP100_200cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c64336c-7c17-4cb8-9910-548a1345218a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c64336c-7c17-4cb8-9910-548a1345218a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59591883-3966-4672-8fdf-59d86707608b' class='xr-var-data-in' type='checkbox'><label for='data-59591883-3966-4672-8fdf-59d86707608b' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>308.357666015625</dd><dt><span>vmin :</span></dt><dd>248.8076629638672</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP10_40cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e802970b-fa73-4a43-aad4-9b505f85e63f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e802970b-fa73-4a43-aad4-9b505f85e63f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-264b3c50-00c7-4998-8922-acba4256b737' class='xr-var-data-in' type='checkbox'><label for='data-264b3c50-00c7-4998-8922-acba4256b737' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>310.0907897949219</dd><dt><span>vmin :</span></dt><dd>242.0207977294922</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilTMP40_100cm_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf24c2bd-4587-4fc8-aed4-61c81d1d254c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf24c2bd-4587-4fc8-aed4-61c81d1d254c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b6d13f1-30d4-4310-9d71-e68fde4d8ecc' class='xr-var-data-in' type='checkbox'><label for='data-4b6d13f1-30d4-4310-9d71-e68fde4d8ecc' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>standard_name :</span></dt><dd>soil_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>309.899169921875</dd><dt><span>vmin :</span></dt><dd>245.8591766357422</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Swnet_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a361458d-ee3a-4a8c-8bc2-46ca1532621a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a361458d-ee3a-4a8c-8bc2-46ca1532621a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac76d95f-7994-4d2d-ad85-29f267268ce6' class='xr-var-data-in' type='checkbox'><label for='data-ac76d95f-7994-4d2d-ad85-29f267268ce6' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Net short wave radiation flux</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>990.6900024414062</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc7268e8-1fe7-4158-8d85-dc07efaef1fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc7268e8-1fe7-4158-8d85-dc07efaef1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e34dddd5-973c-4b18-98d4-5b7fd0b5314c' class='xr-var-data-in' type='checkbox'><label for='data-e34dddd5-973c-4b18-98d4-5b7fd0b5314c' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>vmax :</span></dt><dd>316.70831298828125</dd><dt><span>vmin :</span></dt><dd>222.22830200195312</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tveg_tavg</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d707742f-72a2-4aa7-bd22-2169bb9f5f6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d707742f-72a2-4aa7-bd22-2169bb9f5f6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96cead7e-5f2f-4eec-a5a2-0d603b5d7ee2' class='xr-var-data-in' type='checkbox'><label for='data-96cead7e-5f2f-4eec-a5a2-0d603b5d7ee2' 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Transpiration</dd><dt><span>standard_name :</span></dt><dd>transpiration_flux_from_veg</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>vmax :</span></dt><dd>569.260009765625</dd><dt><span>vmin :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind_f_inst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-16aadebd-44e1-4a3b-be5a-41f71c288278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16aadebd-44e1-4a3b-be5a-41f71c288278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c42bf6e2-b98c-45f5-9aef-26314d6b86bb' class='xr-var-data-in' type='checkbox'><label for='data-c42bf6e2-b98c-45f5-9aef-26314d6b86bb' 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>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>vmax :</span></dt><dd>21.107500076293945</dd><dt><span>vmin :</span></dt><dd>0.007499996572732925</dd></dl></div><div class='xr-var-data'><pre>[5184000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9fbb4dd-3b51-4637-ad9f-9effce29d25a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9fbb4dd-3b51-4637-ad9f-9effce29d25a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b25a6c9d-71d9-4dd2-be4b-a711865934b1' class='xr-var-data-in' type='checkbox'><label for='data-b25a6c9d-71d9-4dd2-be4b-a711865934b1' 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'><pre>[12 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f3b2f75-5410-4eb7-93ca-ecdfa4e52fd1' class='xr-section-summary-in' type='checkbox' ><label for='section-9f3b2f75-5410-4eb7-93ca-ecdfa4e52fd1' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1ea31f26-efe9-40c3-9cc6-8ef57e6ddf94' class='xr-index-data-in' type='checkbox'/><label for='index-1ea31f26-efe9-40c3-9cc6-8ef57e6ddf94' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375,\n", | |
| " -58.125, -57.875, -57.625,\n", | |
| " ...\n", | |
| " 87.625, 87.875, 88.125, 88.375, 88.625, 88.875, 89.125,\n", | |
| " 89.375, 89.625, 89.875],\n", | |
| " dtype='float64', name='lat', length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-306fb2ef-d223-4128-a156-fd26e734f535' class='xr-index-data-in' type='checkbox'/><label for='index-306fb2ef-d223-4128-a156-fd26e734f535' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625,\n", | |
| " -178.375, -178.125, -177.875, -177.625,\n", | |
| " ...\n", | |
| " 177.625, 177.875, 178.125, 178.375, 178.625, 178.875,\n", | |
| " 179.125, 179.375, 179.625, 179.875],\n", | |
| " dtype='float64', name='lon', length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e8ef12be-1e2a-4183-a4ba-0c4a574569cd' class='xr-index-data-in' type='checkbox'/><label for='index-e8ef12be-1e2a-4183-a4ba-0c4a574569cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2022-01-01 03:00:00', '2022-01-01 06:00:00',\n", | |
| " '2022-01-01 09:00:00', '2022-01-01 12:00:00',\n", | |
| " '2022-01-01 15:00:00', '2022-01-01 18:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45f6722f-7a22-4df5-bb42-6cdbff5b83b6' class='xr-section-summary-in' type='checkbox' ><label for='section-45f6722f-7a22-4df5-bb42-6cdbff5b83b6' class='xr-section-summary' >Attributes: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>DX :</span></dt><dd>0.25</dd><dt><span>DY :</span></dt><dd>0.25</dd><dt><span>MAP_PROJECTION :</span></dt><dd>EQUIDISTANT CYLINDRICAL</dd><dt><span>SOUTH_WEST_CORNER_LAT :</span></dt><dd>-59.875</dd><dt><span>SOUTH_WEST_CORNER_LON :</span></dt><dd>-179.875</dd><dt><span>acc definition: :</span></dt><dd>past 3-hour accumulation</dd><dt><span>comment :</span></dt><dd>website: https://ldas.gsfc.nasa.gov/gldas, https://lis.gsfc.nasa.gov/</dd><dt><span>conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>created on date: 2022-04-12T13:18:03.004</dd><dt><span>history_L34RS :</span></dt><dd>'Created by L34RS v1.4.3 @ NASA GES DISC on March 01 2023 15:32:58. Spatial: -180.0 180.0 -60.0 90.0'</dd><dt><span>inst definition: :</span></dt><dd>instantaneous</dd><dt><span>institution :</span></dt><dd>NASA GSFC</dd><dt><span>missing_value :</span></dt><dd>-9999.0</dd><dt><span>references :</span></dt><dd>Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peters-Lidard_etal_ISSE_2007</dd><dt><span>source :</span></dt><dd>Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201</dd><dt><span>tavg definition: :</span></dt><dd>past 3-hour average</dd><dt><span>title :</span></dt><dd>GLDAS2.1 LIS land surface model output</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (time: 6, lat: 600, lon: 1440, bnds: 2)\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 ... 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 ... 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022...\n", | |
| "Dimensions without coordinates: bnds\n", | |
| "Data variables: (12/37)\n", | |
| " Albedo_inst (time, lat, lon) float32 ...\n", | |
| " AvgSurfT_inst (time, lat, lon) float32 ...\n", | |
| " CanopInt_inst (time, lat, lon) float32 ...\n", | |
| " ECanop_tavg (time, lat, lon) float32 ...\n", | |
| " ESoil_tavg (time, lat, lon) float32 ...\n", | |
| " Evap_tavg (time, lat, lon) float32 ...\n", | |
| " ... ...\n", | |
| " SoilTMP40_100cm_inst (time, lat, lon) float32 ...\n", | |
| " Swnet_tavg (time, lat, lon) float32 ...\n", | |
| " Tair_f_inst (time, lat, lon) float32 ...\n", | |
| " Tveg_tavg (time, lat, lon) float32 ...\n", | |
| " Wind_f_inst (time, lat, lon) float32 ...\n", | |
| " time_bnds (time, bnds) datetime64[ns] ...\n", | |
| "Attributes: (12/20)\n", | |
| " CDI: Climate Data Interface version 1.9.8 (https://mpi...\n", | |
| " CDO: Climate Data Operators version 1.9.8 (https://mpi...\n", | |
| " Conventions: CF-1.6\n", | |
| " DX: 0.25\n", | |
| " DY: 0.25\n", | |
| " MAP_PROJECTION: EQUIDISTANT CYLINDRICAL\n", | |
| " ... ...\n", | |
| " institution: NASA GSFC\n", | |
| " missing_value: -9999.0\n", | |
| " references: Rodell_etal_BAMS_2004, Kumar_etal_EMS_2006, Peter...\n", | |
| " source: Noah_v3.6 forced with GDAS-AGRMET-GPCPv13rA1_202201\n", | |
| " tavg definition:: past 3-hour average\n", | |
| " title: GLDAS2.1 LIS land surface model output" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds_crs = ds.rio.set_crs(4326).rio.set_spatial_dims(\"lon\", \"lat\")\n", | |
| "ds_crs" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "c8e9ecae-765f-40c3-bbfe-e62d27cbde47", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "spatial_ref has not ben set\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "try:\n", | |
| " ds_crs[\"spatial_ref\"]\n", | |
| "except KeyError:\n", | |
| " print(\"spatial_ref has not ben set\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "b58e73da-3e2e-4823-a26f-d87237be2c9d", | |
| "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-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\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", | |
| ".xr-index-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", | |
| ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-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", | |
| ".xr-no-icon {\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'><xarray.DataArray 'Albedo_inst' (time: 6, lat: 600, lon: 1440)>\n", | |
| "[5184000 values with dtype=float32]\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022-01-01T18:00:00\n", | |
| "Attributes:\n", | |
| " cell_methods: time: point\n", | |
| " long_name: Albedo\n", | |
| " standard_name: surface_albedo\n", | |
| " units: %\n", | |
| " vmax: 82.5\n", | |
| " vmin: 5.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Albedo_inst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>lat</span>: 600</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1520b614-ac8f-4d8e-b44b-f4551aa23fda' class='xr-array-in' type='checkbox' checked><label for='section-1520b614-ac8f-4d8e-b44b-f4551aa23fda' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[5184000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-9937d58e-c10a-4e2b-a8ab-c34a2d45f5b4' class='xr-section-summary-in' type='checkbox' checked><label for='section-9937d58e-c10a-4e2b-a8ab-c34a2d45f5b4' class='xr-section-summary' >Coordinates: <span>(3)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-59.88 -59.62 ... 89.62 89.88</div><input id='attrs-84d1368f-f2cb-4faa-ad85-c8d286a984ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84d1368f-f2cb-4faa-ad85-c8d286a984ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-623cd0df-fe10-4aa3-9e54-19c3528c7512' class='xr-var-data-in' type='checkbox'><label for='data-623cd0df-fe10-4aa3-9e54-19c3528c7512' 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>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'><pre>array([-59.875, -59.625, -59.375, ..., 89.375, 89.625, 89.875],\n", | |
| " dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-deb4c9f0-6e7c-479c-88d6-d80bab53f565' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deb4c9f0-6e7c-479c-88d6-d80bab53f565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3fbbafb-2085-4bb8-b390-018c2d408558' class='xr-var-data-in' type='checkbox'><label for='data-e3fbbafb-2085-4bb8-b390-018c2d408558' 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>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'><pre>array([-179.875, -179.625, -179.375, ..., 179.375, 179.625, 179.875],\n", | |
| " dtype=float32)</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'>2022-01-01T03:00:00 ... 2022-01-...</div><input id='attrs-1958de85-0208-4190-a187-0da239e10c5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1958de85-0208-4190-a187-0da239e10c5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e81097a4-c642-4bee-bfde-96e5e8f1c47d' class='xr-var-data-in' type='checkbox'><label for='data-e81097a4-c642-4bee-bfde-96e5e8f1c47d' 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>bounds :</span></dt><dd>time_bnds</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(['2022-01-01T03:00:00.000000000', '2022-01-01T06:00:00.000000000',\n", | |
| " '2022-01-01T09:00:00.000000000', '2022-01-01T12:00:00.000000000',\n", | |
| " '2022-01-01T15:00:00.000000000', '2022-01-01T18:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6255b85-88fa-406e-9a33-11cdefe22dfd' class='xr-section-summary-in' type='checkbox' ><label for='section-b6255b85-88fa-406e-9a33-11cdefe22dfd' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51ca6cd7-f0da-4a0e-a239-b718b21f6a71' class='xr-index-data-in' type='checkbox'/><label for='index-51ca6cd7-f0da-4a0e-a239-b718b21f6a71' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-59.875, -59.625, -59.375, -59.125, -58.875, -58.625, -58.375,\n", | |
| " -58.125, -57.875, -57.625,\n", | |
| " ...\n", | |
| " 87.625, 87.875, 88.125, 88.375, 88.625, 88.875, 89.125,\n", | |
| " 89.375, 89.625, 89.875],\n", | |
| " dtype='float64', name='lat', length=600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d62b6c33-538a-4cb5-97f2-71158c2b3eb2' class='xr-index-data-in' type='checkbox'/><label for='index-d62b6c33-538a-4cb5-97f2-71158c2b3eb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625,\n", | |
| " -178.375, -178.125, -177.875, -177.625,\n", | |
| " ...\n", | |
| " 177.625, 177.875, 178.125, 178.375, 178.625, 178.875,\n", | |
| " 179.125, 179.375, 179.625, 179.875],\n", | |
| " dtype='float64', name='lon', length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-46e8b1bf-85de-4f4e-9f24-23a4a8ac2f6b' class='xr-index-data-in' type='checkbox'/><label for='index-46e8b1bf-85de-4f4e-9f24-23a4a8ac2f6b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2022-01-01 03:00:00', '2022-01-01 06:00:00',\n", | |
| " '2022-01-01 09:00:00', '2022-01-01 12:00:00',\n", | |
| " '2022-01-01 15:00:00', '2022-01-01 18:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ea23dea-9edf-4346-b237-470fdfad0449' class='xr-section-summary-in' type='checkbox' checked><label for='section-9ea23dea-9edf-4346-b237-470fdfad0449' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Albedo</dd><dt><span>standard_name :</span></dt><dd>surface_albedo</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>vmax :</span></dt><dd>82.5</dd><dt><span>vmin :</span></dt><dd>5.0</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'Albedo_inst' (time: 6, lat: 600, lon: 1440)>\n", | |
| "[5184000 values with dtype=float32]\n", | |
| "Coordinates:\n", | |
| " * lat (lat) float32 -59.88 -59.62 -59.38 -59.12 ... 89.38 89.62 89.88\n", | |
| " * lon (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022-01-01T18:00:00\n", | |
| "Attributes:\n", | |
| " cell_methods: time: point\n", | |
| " long_name: Albedo\n", | |
| " standard_name: surface_albedo\n", | |
| " units: %\n", | |
| " vmax: 82.5\n", | |
| " vmin: 5.0" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "albedo_crs = ds.Albedo_inst.rio.set_crs(4326).rio.set_spatial_dims(\"lon\", \"lat\")\n", | |
| "albedo_crs" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "5ba4fd6b-5ba6-4ba4-8103-633e7fe669c0", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(0.25, 0.25)" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "albedo_crs.rio.resolution()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "229768d6-4304-4d2a-9b1d-36771f9619b5", | |
| "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-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\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", | |
| ".xr-index-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", | |
| ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-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", | |
| ".xr-no-icon {\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'><xarray.DataArray 'Albedo_inst' (time: 6, y: 572, x: 1451)>\n", | |
| "array([[[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| "...\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * x (x) float64 -1.736e+07 -1.733e+07 ... 1.732e+07 1.735e+07\n", | |
| " * y (y) float64 7.33e+06 7.306e+06 ... -6.312e+06 -6.336e+06\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022-01-01T18:...\n", | |
| " spatial_ref int64 0\n", | |
| "Attributes:\n", | |
| " cell_methods: time: point\n", | |
| " long_name: Albedo\n", | |
| " standard_name: surface_albedo\n", | |
| " units: %\n", | |
| " vmax: 82.5\n", | |
| " vmin: 5.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Albedo_inst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 6</li><li><span class='xr-has-index'>y</span>: 572</li><li><span class='xr-has-index'>x</span>: 1451</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f0b8d2c2-6925-4783-b21c-8b87f74dd152' class='xr-array-in' type='checkbox' checked><label for='section-f0b8d2c2-6925-4783-b21c-8b87f74dd152' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| "...\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-fa8f1bbc-3414-4804-be20-08a629cfd6fc' class='xr-section-summary-in' type='checkbox' checked><label for='section-fa8f1bbc-3414-4804-be20-08a629cfd6fc' class='xr-section-summary' >Coordinates: <span>(4)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.736e+07 -1.733e+07 ... 1.735e+07</div><input id='attrs-0e36aed2-4f6e-4f62-bac1-eaf218d33ea2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e36aed2-4f6e-4f62-bac1-eaf218d33ea2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7405de1b-f814-42cf-b1b5-679c3ab38d68' class='xr-var-data-in' type='checkbox'><label for='data-7405de1b-f814-42cf-b1b5-679c3ab38d68' 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 coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([-17355563.505453, -17331629.626037, -17307695.74662 , ...,\n", | |
| " 17300693.889709, 17324627.769126, 17348561.648542])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.33e+06 7.306e+06 ... -6.336e+06</div><input id='attrs-e2e511dc-93a0-4641-8cf3-796452391d80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e511dc-93a0-4641-8cf3-796452391d80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9f6836f-dcbc-45f5-91b5-f3b587cea6da' class='xr-var-data-in' type='checkbox'><label for='data-e9f6836f-dcbc-45f5-91b5-f3b587cea6da' 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 coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>metre</dd></dl></div><div class='xr-var-data'><pre>array([ 7330263.19679 , 7306329.317374, 7282395.437957, ..., -6288114.191226,\n", | |
| " -6312048.070642, -6335981.950059])</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'>2022-01-01T03:00:00 ... 2022-01-...</div><input id='attrs-b40441fc-532f-4eb6-955d-2a7f5f1a9b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b40441fc-532f-4eb6-955d-2a7f5f1a9b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2149504e-a9f0-41b3-9fed-bfa7a4afb74d' class='xr-var-data-in' type='checkbox'><label for='data-2149504e-a9f0-41b3-9fed-bfa7a4afb74d' 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>bounds :</span></dt><dd>time_bnds</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(['2022-01-01T03:00:00.000000000', '2022-01-01T06:00:00.000000000',\n", | |
| " '2022-01-01T09:00:00.000000000', '2022-01-01T12:00:00.000000000',\n", | |
| " '2022-01-01T15:00:00.000000000', '2022-01-01T18:00:00.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-8c0ba744-6f46-434b-8696-b8ac33a1e836' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c0ba744-6f46-434b-8696-b8ac33a1e836' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad77b577-c26b-43d0-96e1-c735d0753cc6' class='xr-var-data-in' type='checkbox'><label for='data-ad77b577-c26b-43d0-96e1-c735d0753cc6' 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>crs_wkt :</span></dt><dd>PROJCS["WGS 84 / NSIDC EASE-Grid 2.0 Global",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]],PROJECTION["Cylindrical_Equal_Area"],PARAMETER["standard_parallel_1",30],PARAMETER["central_meridian",0],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["Easting",EAST],AXIS["Northing",NORTH],AUTHORITY["EPSG","6933"]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / NSIDC EASE-Grid 2.0 Global</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_cylindrical_equal_area</dd><dt><span>standard_parallel :</span></dt><dd>30.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS["WGS 84 / NSIDC EASE-Grid 2.0 Global",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]],PROJECTION["Cylindrical_Equal_Area"],PARAMETER["standard_parallel_1",30],PARAMETER["central_meridian",0],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["Easting",EAST],AXIS["Northing",NORTH],AUTHORITY["EPSG","6933"]]</dd><dt><span>GeoTransform :</span></dt><dd>-17367530.445161372 23933.87941654851 0.0 7342230.13649868 0.0 -23933.87941654851</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb64726e-01fc-4ac6-a730-c655dbbf8d6d' class='xr-section-summary-in' type='checkbox' ><label for='section-cb64726e-01fc-4ac6-a730-c655dbbf8d6d' class='xr-section-summary' >Indexes: <span>(3)</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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-adf2b00d-d616-4130-97b2-d75bf6c6030f' class='xr-index-data-in' type='checkbox'/><label for='index-adf2b00d-d616-4130-97b2-d75bf6c6030f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -17355563.5054531, -17331629.62603655, -17307695.746620003,\n", | |
| " -17283761.86720345, -17259827.987786904, -17235894.108370356,\n", | |
| " -17211960.22895381, -17188026.34953726, -17164092.47012071,\n", | |
| " -17140158.59070416,\n", | |
| " ...\n", | |
| " 17133156.7337933, 17157090.613209847, 17181024.492626403,\n", | |
| " 17204958.37204295, 17228892.251459498, 17252826.130876046,\n", | |
| " 17276760.010292593, 17300693.88970914, 17324627.76912569,\n", | |
| " 17348561.648542237],\n", | |
| " dtype='float64', name='x', length=1451))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f1673c2-81bb-4692-9efd-d7c61ea60039' class='xr-index-data-in' type='checkbox'/><label for='index-8f1673c2-81bb-4692-9efd-d7c61ea60039' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 7330263.1967904065, 7306329.317373858, 7282395.437957309,\n", | |
| " 7258461.558540761, 7234527.679124213, 7210593.799707664,\n", | |
| " 7186659.9202911155, 7162726.040874567, 7138792.161458018,\n", | |
| " 7114858.28204147,\n", | |
| " ...\n", | |
| " -6120577.035309855, -6144510.9147264045, -6168444.794142952,\n", | |
| " -6192378.673559502, -6216312.5529760495, -6240246.432392597,\n", | |
| " -6264180.311809147, -6288114.1912256945, -6312048.070642244,\n", | |
| " -6335981.950058792],\n", | |
| " dtype='float64', name='y', length=572))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06c71aa4-8fa4-4aef-9600-f91fcb5485ae' class='xr-index-data-in' type='checkbox'/><label for='index-06c71aa4-8fa4-4aef-9600-f91fcb5485ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2022-01-01 03:00:00', '2022-01-01 06:00:00',\n", | |
| " '2022-01-01 09:00:00', '2022-01-01 12:00:00',\n", | |
| " '2022-01-01 15:00:00', '2022-01-01 18:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcc56079-48e9-4b8d-8d24-43c3e9ef5d08' class='xr-section-summary-in' type='checkbox' checked><label for='section-dcc56079-48e9-4b8d-8d24-43c3e9ef5d08' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: point</dd><dt><span>long_name :</span></dt><dd>Albedo</dd><dt><span>standard_name :</span></dt><dd>surface_albedo</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>vmax :</span></dt><dd>82.5</dd><dt><span>vmin :</span></dt><dd>5.0</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.DataArray 'Albedo_inst' (time: 6, y: 572, x: 1451)>\n", | |
| "array([[[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| "...\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]],\n", | |
| "\n", | |
| " [[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)\n", | |
| "Coordinates:\n", | |
| " * x (x) float64 -1.736e+07 -1.733e+07 ... 1.732e+07 1.735e+07\n", | |
| " * y (y) float64 7.33e+06 7.306e+06 ... -6.312e+06 -6.336e+06\n", | |
| " * time (time) datetime64[ns] 2022-01-01T03:00:00 ... 2022-01-01T18:...\n", | |
| " spatial_ref int64 0\n", | |
| "Attributes:\n", | |
| " cell_methods: time: point\n", | |
| " long_name: Albedo\n", | |
| " standard_name: surface_albedo\n", | |
| " units: %\n", | |
| " vmax: 82.5\n", | |
| " vmin: 5.0" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "albedo_transformed = albedo_crs.rio.reproject(6933)\n", | |
| "albedo_transformed" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "c0c8708b-285c-494e-b7f8-0b3bd944a3cb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x7f51dce2b6a0>" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 640x480 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "albedo_transformed[0].plot()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "5a8ef8ee-3ed9-4832-a811-26d15d1cfd92", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.10.9" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment