Last active
January 10, 2022 13:58
-
-
Save aidanheerdegen/aa816ac249884b97e8d82251b0fd4d41 to your computer and use it in GitHub Desktop.
Regridding BedMachine Antarctic Bathymetry using proj
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": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Regrid bedmachine v2 topography x,y coords in metres to lat/long\n", | |
| "https://sites.uci.edu/morlighem/dataproducts/bedmachine-antarctica/\n", | |
| "\n", | |
| "see also doc in /g/data/v45/pas561/bedmachineant/\n", | |
| "The projection is Polar Stereographic South (71ºS, 0ºE), which corresponds to\n", | |
| "ESPG 3031" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Make sure we're not loading any packages from `~/.local`" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "env: PYTHONNOUSERSITE=1\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%env PYTHONNOUSERSITE=1" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 2.83 s, sys: 1.45 s, total: 4.28 s\n", | |
| "Wall time: 8.58 s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import numpy as np\n", | |
| "import xarray as xr\n", | |
| "import cartopy.crs as ccrs\n", | |
| "\n", | |
| "from pyproj import Proj, transform, Transformer, CRS\n", | |
| "from numpy import s_" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "see also doc in /g/data/v45/pas561/bedmachineant/\n", | |
| "All heights are referenced to mean sea level (using the geoid EIGEN-6C4). To convert the heights to heightsreferenced to the WGS84 ellipsoid, simply add the geoid height. Note that we re-sort the y-index to run from negative to positive values" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "bedbathy=xr.open_mfdataset('/g/data/v45/pas561/bedmachineant/BedMach*.nc', chunks={'x': 5000, 'y': 5000}).sortby('y')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "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.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;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (x: 13333, y: 13333)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| " * y (y) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| "Data variables:\n", | |
| " mapping |S1 ...\n", | |
| " mask (y, x) int8 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " source (y, x) int8 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " geoid (y, x) int16 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' hidden><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-b5e9a36c-90b3-40a7-bddb-3ef33e991ffd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5e9a36c-90b3-40a7-bddb-3ef33e991ffd' 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'>x</span>: 13333</li><li><span class='xr-has-index'>y</span>: 13333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0ab19a3f-ac66-4556-8cce-80b4d4d7600c' class='xr-section-summary-in' type='checkbox' checked><label for='section-0ab19a3f-ac66-4556-8cce-80b4d4d7600c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-6c2e486d-db44-49db-876f-2b9ee109e1a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2e486d-db44-49db-876f-2b9ee109e1a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-694d0e6e-7de7-4ad3-938b-fc3f8b697d6d' class='xr-var-data-in' type='checkbox'><label for='data-694d0e6e-7de7-4ad3-938b-fc3f8b697d6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ..., 3332000, 3332500, 3333000],\n", | |
| " dtype=int32)</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'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-75f5f7a9-71bc-463f-90c3-9054b8dbbf5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75f5f7a9-71bc-463f-90c3-9054b8dbbf5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b07a9fbe-d294-4695-8fe0-a17a3640fb9d' class='xr-var-data-in' type='checkbox'><label for='data-b07a9fbe-d294-4695-8fe0-a17a3640fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ..., 3332000, 3332500, 3333000],\n", | |
| " dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c2a76fe-1bd8-40d4-aa45-391d368af93d' class='xr-section-summary-in' type='checkbox' checked><label for='section-6c2a76fe-1bd8-40d4-aa45-391d368af93d' class='xr-section-summary' >Data variables: <span>(9)</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>mapping</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db41044e-9c74-4dec-b977-c23e817900ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db41044e-9c74-4dec-b977-c23e817900ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8768eb-19f5-46a4-9034-176cf27c504e' class='xr-var-data-in' type='checkbox'><label for='data-de8768eb-19f5-46a4-9034-176cf27c504e' 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>grid_mapping_name :</span></dt><dd>polar_stereographic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>-90.0</dd><dt><span>standard_parallel :</span></dt><dd>-71.0</dd><dt><span>straight_vertical_longitude_from_pole :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378273.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.2794050428205</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array(b'', dtype='|S1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-47589bfd-b7c2-4a9f-97f6-d39965f33791' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47589bfd-b7c2-4a9f-97f6-d39965f33791' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f63fe7e2-f9d8-4a5a-af6d-3f2057f3e89a' class='xr-var-data-in' type='checkbox'><label for='data-f63fe7e2-f9d8-4a5a-af6d-3f2057f3e89a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>ocean ice_free_land grounded_ice floating_ice lake_vostok</dd><dt><span>source :</span></dt><dd>Antarctic Digital Database (rock outcrop) and Jeremie Mouginot (pers. comm., grounding lines)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 169.53 MiB </td> <td> 23.84 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int8 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>firn</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-05c5f500-addd-447f-9e8b-0599c62ca2a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05c5f500-addd-447f-9e8b-0599c62ca2a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62535777-b82d-4c40-911c-f9012e0e77d4' class='xr-var-data-in' type='checkbox'><label for='data-62535777-b82d-4c40-911c-f9012e0e77d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>firn air content</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>FAC model from Ligtenberg et al., 2011, forced by RACMO2.3p2 (van Wessem et al., 2018)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-72ba21a5-f00e-4426-8211-150bf454e57e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ba21a5-f00e-4426-8211-150bf454e57e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3758825-c64e-4100-a33b-5ba7c6de1e23' class='xr-var-data-in' type='checkbox'><label for='data-b3758825-c64e-4100-a33b-5ba7c6de1e23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-be32a003-2266-4ba9-94c2-32977851ed3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be32a003-2266-4ba9-94c2-32977851ed3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d197ab62-78e6-45ca-8bef-2b2657bde1b2' class='xr-var-data-in' type='checkbox'><label for='data-d197ab62-78e6-45ca-8bef-2b2657bde1b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-ba549580-7961-4244-a575-4e560d3aff77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba549580-7961-4244-a575-4e560d3aff77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2609f431-91f0-4deb-a05b-653b60e7aa62' class='xr-var-data-in' type='checkbox'><label for='data-2609f431-91f0-4deb-a05b-653b60e7aa62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>errbed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-8aabff28-72c5-471e-b825-e8faf9b5e41f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8aabff28-72c5-471e-b825-e8faf9b5e41f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89223301-e392-42f1-97a9-a05bc8ca02f2' class='xr-var-data-in' type='checkbox'><label for='data-89223301-e392-42f1-97a9-a05bc8ca02f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography/ice thickness error</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-3a3d6a4b-7fe7-4341-ac1c-09809304a299' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a3d6a4b-7fe7-4341-ac1c-09809304a299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2953687-5494-4770-bd62-912373c65205' class='xr-var-data-in' type='checkbox'><label for='data-e2953687-5494-4770-bd62-912373c65205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data source</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1 2 3 4 5 6 7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA_IBCSO mass_conservation interpolation hydrostatic streamline_diffusion gravity seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 169.53 MiB </td> <td> 23.84 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int8 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-249f03ec-4131-4e31-93ec-4dcfc6315c06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-249f03ec-4131-4e31-93ec-4dcfc6315c06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c9560dd-14c3-47c0-bf2c-c64490ead578' class='xr-var-data-in' type='checkbox'><label for='data-0c9560dd-14c3-47c0-bf2c-c64490ead578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EIGEN-EC4 Geoid - WGS84 Ellipsoid difference</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>geoid :</span></dt><dd>eigen-6c4 (Forste et al 2014)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 339.07 MiB </td> <td> 47.68 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 19 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int16 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e610b77-8af7-4abe-874e-969b1fd20009' class='xr-section-summary-in' type='checkbox' ><label for='section-9e610b77-8af7-4abe-874e-969b1fd20009' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>15-Jul-2020 (v2.0)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (x: 13333, y: 13333)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| " * y (y) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| "Data variables:\n", | |
| " mapping |S1 ...\n", | |
| " mask (y, x) int8 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " source (y, x) int8 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " geoid (y, x) int16 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy..." | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "bedbathy" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Can take a subset to make plotting faster and check that it looks ok" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "bedbathy_subset = bedbathy.isel(x=s_[0::50], y=s_[0::50])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x147d0d6e8e80>" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 864x576 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "bedbathy_subset.bed.plot(size=8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Test forward transformation (from metres to lat/lon)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.10/lib/python3.9/site-packages/pyproj/crs/crs.py:68: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n", | |
| " return _prepare_from_string(\" \".join(pjargs))\n", | |
| "/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.10/lib/python3.9/site-packages/pyproj/crs/crs.py:306: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n", | |
| " projstring = _prepare_from_string(\" \".join((projstring, projkwargs)))\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "#from doc in /g/data/v45/pas561/bedmachineant/\n", | |
| "#The projection is Polar Stereographic South (71ºS, 0ºE), which corresponds to\n", | |
| "#ESPG 3031\n", | |
| "inProj=CRS(init=\"epsg:3031\")\n", | |
| "\n", | |
| "#https://spatialreference.org/ref/epsg/wgs-84/\n", | |
| "outProj=CRS(init=\"epsg:4326\")\n", | |
| "\n", | |
| "transformer = Transformer.from_crs(inProj, outProj)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Make a 2D grid of `x` and `y` values and transform them into `lon`/`lat`" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "xx, yy = np.meshgrid(bedbathy_subset.x, bedbathy_subset.y)\n", | |
| "lon, lat = transformer.transform(xx, yy)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add new coordinates to the subsetted dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "bedbathy_subset.coords['lat'] = (bedbathy_subset.bed.dims, lat)\n", | |
| "bedbathy_subset.coords['lon'] = (bedbathy_subset.bed.dims, lon)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "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.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;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (x: 267, y: 267)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3308000 -3283000 ... 3267000 3292000 3317000\n", | |
| " * y (y) int32 -3333000 -3308000 -3283000 ... 3267000 3292000 3317000\n", | |
| " lat (y, x) float64 -48.46 -48.61 -48.75 ... -48.93 -48.79 -48.65\n", | |
| " lon (y, x) float64 -135.0 -135.2 -135.4 -135.7 ... 44.56 44.78 45.0\n", | |
| "Data variables:\n", | |
| " mapping |S1 ...\n", | |
| " mask (y, x) int8 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " source (y, x) int8 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " geoid (y, x) int16 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' hidden><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-8363095c-58b9-44c9-96e9-90b69e6bcaad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8363095c-58b9-44c9-96e9-90b69e6bcaad' 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'>x</span>: 267</li><li><span class='xr-has-index'>y</span>: 267</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-33fb787a-de0e-4f63-8697-7e9e0a62b3af' class='xr-section-summary-in' type='checkbox' checked><label for='section-33fb787a-de0e-4f63-8697-7e9e0a62b3af' 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'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3308000 ... 3317000</div><input id='attrs-2753dd02-ec9b-4735-8424-28145e409827' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2753dd02-ec9b-4735-8424-28145e409827' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83594b39-4cd4-4864-b53f-daf634f73391' class='xr-var-data-in' type='checkbox'><label for='data-83594b39-4cd4-4864-b53f-daf634f73391' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3308000, -3283000, ..., 3267000, 3292000, 3317000],\n", | |
| " dtype=int32)</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'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3308000 ... 3317000</div><input id='attrs-8c9b7f47-0b00-4dd4-acde-5cb259d63711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c9b7f47-0b00-4dd4-acde-5cb259d63711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef5b6645-4647-4b41-aa27-529de20eb0b8' class='xr-var-data-in' type='checkbox'><label for='data-ef5b6645-4647-4b41-aa27-529de20eb0b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3308000, -3283000, ..., 3267000, 3292000, 3317000],\n", | |
| " dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-48.46 -48.61 ... -48.79 -48.65</div><input id='attrs-677a3c92-dfa7-42f3-bb27-336d53e9c69e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-677a3c92-dfa7-42f3-bb27-336d53e9c69e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f6dc59-330f-4676-82d1-a1c375f1e436' class='xr-var-data-in' type='checkbox'><label for='data-d0f6dc59-330f-4676-82d1-a1c375f1e436' 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>array([[-48.46438311, -48.6070859 , -48.74937612, ..., -48.84022171,\n", | |
| " -48.69819966, -48.55576001],\n", | |
| " [-48.6070859 , -48.75045809, -48.89341996, ..., -48.98469656,\n", | |
| " -48.84200145, -48.69889096],\n", | |
| " [-48.74937612, -48.89341996, -49.03705577, ..., -49.12876489,\n", | |
| " -48.98539438, -48.84161077],\n", | |
| " ...,\n", | |
| " [-48.84022171, -48.98469656, -49.12876489, ..., -49.22075161,\n", | |
| " -49.07694762, -48.93273203],\n", | |
| " [-48.69819966, -48.84200145, -48.98539438, ..., -49.07694762,\n", | |
| " -48.93382052, -48.7902795 ],\n", | |
| " [-48.55576001, -48.69889096, -48.84161077, ..., -48.93273203,\n", | |
| " -48.7902795 , -48.64741077]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-135.0 -135.2 -135.4 ... 44.78 45.0</div><input id='attrs-278f6775-b8a7-41bf-87f1-0de85923ead4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-278f6775-b8a7-41bf-87f1-0de85923ead4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91f97e19-c847-4ff0-b7fb-c9d08ccb51c4' class='xr-var-data-in' type='checkbox'><label for='data-91f97e19-c847-4ff0-b7fb-c9d08ccb51c4' 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>array([[-135. , -135.21568856, -135.43300097, ..., 135.5729387 ,\n", | |
| " 135.35458067, 135.13785424],\n", | |
| " [-134.78431144, -135. , -135.21732478, ..., 135.35727704,\n", | |
| " 135.13889859, 134.92216427],\n", | |
| " [-134.56699903, -134.78267522, -135. , ..., 135.13995888,\n", | |
| " 134.92157237, 134.70484253],\n", | |
| " ...,\n", | |
| " [ -45.5729387 , -45.35727704, -45.13995888, ..., 45. ,\n", | |
| " 45.21838505, 45.43510539],\n", | |
| " [ -45.35458067, -45.13889859, -44.92157237, ..., 44.78161495,\n", | |
| " 45. , 45.21673289],\n", | |
| " [ -45.13785424, -44.92216427, -44.70484253, ..., 44.56489461,\n", | |
| " 44.78326711, 45. ]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad27efc2-81f5-4918-942f-64b463978c84' class='xr-section-summary-in' type='checkbox' checked><label for='section-ad27efc2-81f5-4918-942f-64b463978c84' class='xr-section-summary' >Data variables: <span>(9)</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>mapping</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8451c08a-b9e5-448a-ac29-81ed558f0eed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8451c08a-b9e5-448a-ac29-81ed558f0eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6e7c2c4-6183-437d-923a-cb39b15fa129' class='xr-var-data-in' type='checkbox'><label for='data-a6e7c2c4-6183-437d-923a-cb39b15fa129' 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>grid_mapping_name :</span></dt><dd>polar_stereographic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>-90.0</dd><dt><span>standard_parallel :</span></dt><dd>-71.0</dd><dt><span>straight_vertical_longitude_from_pole :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378273.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.2794050428205</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array(b'', dtype='|S1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-250386f8-6a5f-44db-8410-d71cc127f12a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-250386f8-6a5f-44db-8410-d71cc127f12a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c3e815-4584-40ef-81d7-11e09c8db46a' class='xr-var-data-in' type='checkbox'><label for='data-32c3e815-4584-40ef-81d7-11e09c8db46a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>ocean ice_free_land grounded_ice floating_ice lake_vostok</dd><dt><span>source :</span></dt><dd>Antarctic Digital Database (rock outcrop) and Jeremie Mouginot (pers. comm., grounding lines)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 69.62 kiB </td> <td> 9.77 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int8 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>firn</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-73db559b-c1c0-4ccb-abe1-c97a231c8256' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73db559b-c1c0-4ccb-abe1-c97a231c8256' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7af2acd5-dd4c-411e-8676-ce1202baaf9e' class='xr-var-data-in' type='checkbox'><label for='data-7af2acd5-dd4c-411e-8676-ce1202baaf9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>firn air content</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>FAC model from Ligtenberg et al., 2011, forced by RACMO2.3p2 (van Wessem et al., 2018)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 278.47 kiB </td> <td> 39.06 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-10761d76-0fd0-4fb6-a010-8f6dcdad526c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10761d76-0fd0-4fb6-a010-8f6dcdad526c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2bde35d-9cbc-4cbc-ac1a-68c2e621a083' class='xr-var-data-in' type='checkbox'><label for='data-c2bde35d-9cbc-4cbc-ac1a-68c2e621a083' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 278.47 kiB </td> <td> 39.06 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-8be872c2-6dcd-45d8-a936-e72ce38f5df5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8be872c2-6dcd-45d8-a936-e72ce38f5df5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6388d19-f0e2-4979-ac6b-6ffdc182696e' class='xr-var-data-in' type='checkbox'><label for='data-a6388d19-f0e2-4979-ac6b-6ffdc182696e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 278.47 kiB </td> <td> 39.06 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-4c6dfb7b-2ee6-4f81-8db3-a6f766550ab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c6dfb7b-2ee6-4f81-8db3-a6f766550ab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffe7e171-09d4-4421-8c9e-624b19c8b16e' class='xr-var-data-in' type='checkbox'><label for='data-ffe7e171-09d4-4421-8c9e-624b19c8b16e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 278.47 kiB </td> <td> 39.06 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>errbed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-eb50564f-1ac0-42c0-8dbe-4da0d25ca892' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb50564f-1ac0-42c0-8dbe-4da0d25ca892' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1251fa8-96ac-4612-a7bd-8486fb8097b5' class='xr-var-data-in' type='checkbox'><label for='data-a1251fa8-96ac-4612-a7bd-8486fb8097b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography/ice thickness error</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 278.47 kiB </td> <td> 39.06 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-6db9c557-f0bd-4f3b-b9b7-66b929ab8ad7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db9c557-f0bd-4f3b-b9b7-66b929ab8ad7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cfb6108-0509-42ba-b26d-c714735fa396' class='xr-var-data-in' type='checkbox'><label for='data-5cfb6108-0509-42ba-b26d-c714735fa396' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data source</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1 2 3 4 5 6 7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA_IBCSO mass_conservation interpolation hydrostatic streamline_diffusion gravity seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 69.62 kiB </td> <td> 9.77 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int8 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(67, 100), meta=np.ndarray></div><input id='attrs-c1b9d9e6-a695-4347-a7fc-0d860258ccb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1b9d9e6-a695-4347-a7fc-0d860258ccb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe6ea4ed-cf9f-481d-91b2-07066faca2b5' class='xr-var-data-in' type='checkbox'><label for='data-fe6ea4ed-cf9f-481d-91b2-07066faca2b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EIGEN-EC4 Geoid - WGS84 Ellipsoid difference</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>geoid :</span></dt><dd>eigen-6c4 (Forste et al 2014)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 139.24 kiB </td> <td> 19.53 kiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (267, 267) </td> <td> (100, 100) </td></tr>\n", | |
| " <tr><th> Count </th><td> 28 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> int16 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"30\" x2=\"120\" y2=\"30\" />\n", | |
| " <line x1=\"0\" y1=\"75\" x2=\"120\" y2=\"75\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"120\" />\n", | |
| " <line x1=\"89\" y1=\"0\" x2=\"89\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >267</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">267</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6c1ef39-1f5b-427f-acf3-00e67da3f245' class='xr-section-summary-in' type='checkbox' ><label for='section-c6c1ef39-1f5b-427f-acf3-00e67da3f245' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>15-Jul-2020 (v2.0)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (x: 267, y: 267)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3308000 -3283000 ... 3267000 3292000 3317000\n", | |
| " * y (y) int32 -3333000 -3308000 -3283000 ... 3267000 3292000 3317000\n", | |
| " lat (y, x) float64 -48.46 -48.61 -48.75 ... -48.93 -48.79 -48.65\n", | |
| " lon (y, x) float64 -135.0 -135.2 -135.4 -135.7 ... 44.56 44.78 45.0\n", | |
| "Data variables:\n", | |
| " mapping |S1 ...\n", | |
| " mask (y, x) int8 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " source (y, x) int8 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| " geoid (y, x) int16 dask.array<chunksize=(67, 100), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy..." | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "bedbathy_subset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Plot in PlateCarree projection, note the missing areas in the bottom right and left-hand corners" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/g/data/hh5/public/apps/miniconda3/envs/analysis3-21.10/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1702: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n", | |
| " X, Y, C, shading = self._pcolorargs('pcolormesh', *args,\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 1440x216 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plt.figure(figsize=(20,3))\n", | |
| "ax = plt.axes(projection=ccrs.PlateCarree())\n", | |
| "bedbathy_subset.bed.plot.pcolormesh('lon', 'lat', ax=ax, transform=ccrs.PlateCarree())\n", | |
| "ax.coastlines();" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Plot in SouthPolarStereo projection, which should be almost the same as above, but with some missing data near the seam where the `lat`/`lon` coordinates wrap" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 1080x864 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plt.figure(figsize=(15,12))\n", | |
| "ax = plt.axes(projection=ccrs.SouthPolarStereo())\n", | |
| "bedbathy_subset.bed.plot.pcolormesh('lon', 'lat', ax=ax, transform=ccrs.PlateCarree())\n", | |
| "ax.coastlines();" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Interpolate to ACCESS-OM2-01 grid" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Now interpolate the original bathymetry data onto the ACCESS-OM2 0.1° grid" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import cosima_cookbook as cc" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "session = cc.database.create_session()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Load the cartesian grid from an ACCESS-OM2-01 experiment. Don't need the curvilinear grid, as we're only interested in the southern hemisphere where there is no tripole." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "expt = '01deg_jra55v140_iaf'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "xt_ocean = cc.querying.getvar(expt, 'xt_ocean', session, n=-1)\n", | |
| "yt_ocean = cc.querying.getvar(expt, 'yt_ocean', session, n=-1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "The ACCESS-OM2 grid is global, so need to trim the latitude to match the maximum extend of the bedmachine data (53S according to the website but some experimentation shows the maximum latitude extend is about 48.3S))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "yt_ocean = yt_ocean.sel(yt_ocean=slice(-91,-48))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a grid of lat/lon values for the grid and back-transform each point into a location in the bedmachine coordinates" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "xx, yy = np.meshgrid(xt_ocean, yt_ocean)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "back_transformer = Transformer.from_crs(outProj, inProj)\n", | |
| "\n", | |
| "x2, y2 = back_transformer.transform(xx, yy)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Use the `xarray` `sel` method to find the nearest locations for each back-transformed point from the ACCESS-OM2 grid. To do this need to create `xarray.DataArray` for the coordinates with matching dimensions, so `xarray` knows they belong together" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y2_da = xr.DataArray(y2, dims=('lat','lon'))\n", | |
| "x2_da = xr.DataArray(x2, dims=('lat','lon'))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Mask out the outer edge of the original bathymetry data so that when we interpolate back all points outside the bathymetry are automatically masked as we use the 'nearest' method of interpolation" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "bedbathy = bedbathy.where(\n", | |
| " (bedbathy.x > bedbathy.x.min()) &\n", | |
| " (bedbathy.x < bedbathy.x.max()) &\n", | |
| " (bedbathy.y > bedbathy.y.min()) &\n", | |
| " (bedbathy.y < bedbathy.y.max())\n", | |
| " )" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "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.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;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (x: 13333, y: 13333)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| " * y (y) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| "Data variables:\n", | |
| " mapping (x, y) object nan nan nan nan nan nan ... nan nan nan nan nan nan\n", | |
| " mask (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " source (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " geoid (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' hidden><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-4ea00626-c2d9-44cb-8933-4ac499a421d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4ea00626-c2d9-44cb-8933-4ac499a421d4' 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'>x</span>: 13333</li><li><span class='xr-has-index'>y</span>: 13333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-65350595-1fec-4b3e-ac5a-361bc67ece16' class='xr-section-summary-in' type='checkbox' checked><label for='section-65350595-1fec-4b3e-ac5a-361bc67ece16' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-13565019-b4ad-4875-aed6-0ebc472ae36d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13565019-b4ad-4875-aed6-0ebc472ae36d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c7ad065-cde7-4230-8535-65f95adaae79' class='xr-var-data-in' type='checkbox'><label for='data-3c7ad065-cde7-4230-8535-65f95adaae79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ..., 3332000, 3332500, 3333000],\n", | |
| " dtype=int32)</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'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-35280c37-2258-4b06-9997-3cfd4bed3a80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35280c37-2258-4b06-9997-3cfd4bed3a80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b68ae6-66cd-4d2f-a426-fe6bbcb068ed' class='xr-var-data-in' type='checkbox'><label for='data-01b68ae6-66cd-4d2f-a426-fe6bbcb068ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ..., 3332000, 3332500, 3333000],\n", | |
| " dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e16dc5c7-9963-4891-bd01-0028dcc184f7' class='xr-section-summary-in' type='checkbox' checked><label for='section-e16dc5c7-9963-4891-bd01-0028dcc184f7' class='xr-section-summary' >Data variables: <span>(9)</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>mapping</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d43a2ec7-05aa-4562-b9bc-fb69dc6addde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d43a2ec7-05aa-4562-b9bc-fb69dc6addde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27db9f9f-9b53-4846-8e8d-60c4dab3dd4a' class='xr-var-data-in' type='checkbox'><label for='data-27db9f9f-9b53-4846-8e8d-60c4dab3dd4a' 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>grid_mapping_name :</span></dt><dd>polar_stereographic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>-90.0</dd><dt><span>standard_parallel :</span></dt><dd>-71.0</dd><dt><span>straight_vertical_longitude_from_pole :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378273.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.2794050428205</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, b'', b'', ..., b'', b'', nan],\n", | |
| " [nan, b'', b'', ..., b'', b'', nan],\n", | |
| " ...,\n", | |
| " [nan, b'', b'', ..., b'', b'', nan],\n", | |
| " [nan, b'', b'', ..., b'', b'', nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-d97d2722-b06e-477b-8792-1c61b31b042a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d97d2722-b06e-477b-8792-1c61b31b042a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7dee8f1-b9d4-4fd2-bbd3-47bf26495b01' class='xr-var-data-in' type='checkbox'><label for='data-b7dee8f1-b9d4-4fd2-bbd3-47bf26495b01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>ocean ice_free_land grounded_ice floating_ice lake_vostok</dd><dt><span>source :</span></dt><dd>Antarctic Digital Database (rock outcrop) and Jeremie Mouginot (pers. comm., grounding lines)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 1.32 GiB </td> <td> 190.73 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 56 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>firn</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-a379b246-3020-42a9-8032-6cc69544af2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a379b246-3020-42a9-8032-6cc69544af2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1177084-4474-4c91-82c7-a44a2ee877f2' class='xr-var-data-in' type='checkbox'><label for='data-d1177084-4474-4c91-82c7-a44a2ee877f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>firn air content</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>FAC model from Ligtenberg et al., 2011, forced by RACMO2.3p2 (van Wessem et al., 2018)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 47 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-254e342b-db44-4050-8abe-04410b882b8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-254e342b-db44-4050-8abe-04410b882b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c436d81-eb29-4ceb-849d-0e2adc70f7af' class='xr-var-data-in' type='checkbox'><label for='data-0c436d81-eb29-4ceb-849d-0e2adc70f7af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 47 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-ce93d3a5-71ac-4653-a8cf-d1046ccc3dc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce93d3a5-71ac-4653-a8cf-d1046ccc3dc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8a3eeab-53e6-4f07-ba51-ec7f9b95e5af' class='xr-var-data-in' type='checkbox'><label for='data-f8a3eeab-53e6-4f07-ba51-ec7f9b95e5af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 47 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-58dab247-4c09-4afd-a156-7bf555f80f2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58dab247-4c09-4afd-a156-7bf555f80f2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ee8bed4-6be3-4f5a-9581-3f11a1885d96' class='xr-var-data-in' type='checkbox'><label for='data-3ee8bed4-6be3-4f5a-9581-3f11a1885d96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 47 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>errbed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-e2d8607f-6c03-44a5-b139-3008264e6e2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2d8607f-6c03-44a5-b139-3008264e6e2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fa7e6ae-5991-4e01-9d39-92bd88c9f4b2' class='xr-var-data-in' type='checkbox'><label for='data-8fa7e6ae-5991-4e01-9d39-92bd88c9f4b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography/ice thickness error</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 678.13 MiB </td> <td> 95.37 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 47 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-207e83cb-6e11-45cf-b4fd-d7e95e0e1a0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-207e83cb-6e11-45cf-b4fd-d7e95e0e1a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52edec24-a527-4d31-b673-28abe1a89eb7' class='xr-var-data-in' type='checkbox'><label for='data-52edec24-a527-4d31-b673-28abe1a89eb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data source</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1 2 3 4 5 6 7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA_IBCSO mass_conservation interpolation hydrostatic streamline_diffusion gravity seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 1.32 GiB </td> <td> 190.73 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 56 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3333, 5000), meta=np.ndarray></div><input id='attrs-1630f5da-2632-4c61-b070-fb7f0977ac34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1630f5da-2632-4c61-b070-fb7f0977ac34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7784b1b4-6622-4f87-a778-906909cdcefd' class='xr-var-data-in' type='checkbox'><label for='data-7784b1b4-6622-4f87-a778-906909cdcefd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EIGEN-EC4 Geoid - WGS84 Ellipsoid difference</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>geoid :</span></dt><dd>eigen-6c4 (Forste et al 2014)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| "<tr>\n", | |
| "<td>\n", | |
| "<table>\n", | |
| " <thead>\n", | |
| " <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr><th> Bytes </th><td> 1.32 GiB </td> <td> 190.73 MiB </td></tr>\n", | |
| " <tr><th> Shape </th><td> (13333, 13333) </td> <td> (5000, 5000) </td></tr>\n", | |
| " <tr><th> Count </th><td> 56 Tasks </td><td> 9 Chunks </td></tr>\n", | |
| " <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</td>\n", | |
| "<td>\n", | |
| "<svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"29\" x2=\"120\" y2=\"29\" />\n", | |
| " <line x1=\"0\" y1=\"74\" x2=\"120\" y2=\"74\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"45\" y1=\"0\" x2=\"45\" y2=\"120\" />\n", | |
| " <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"120\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >13333</text>\n", | |
| " <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">13333</text>\n", | |
| "</svg>\n", | |
| "</td>\n", | |
| "</tr>\n", | |
| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-de78bdaf-11d9-4b31-b879-7cdef8814b60' class='xr-section-summary-in' type='checkbox' ><label for='section-de78bdaf-11d9-4b31-b879-7cdef8814b60' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>15-Jul-2020 (v2.0)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (x: 13333, y: 13333)\n", | |
| "Coordinates:\n", | |
| " * x (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| " * y (y) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n", | |
| "Data variables:\n", | |
| " mapping (x, y) object nan nan nan nan nan nan ... nan nan nan nan nan nan\n", | |
| " mask (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " firn (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " surface (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " thickness (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " bed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " errbed (y, x) float32 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " source (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| " geoid (y, x) float64 dask.array<chunksize=(3333, 5000), meta=np.ndarray>\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy..." | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "bedbathy" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 3min 13s, sys: 16.7 s, total: 3min 30s\n", | |
| "Wall time: 3min 15s\n" | |
| ] | |
| }, | |
| { | |
| "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.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;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (lat: 696, lon: 3600)\n", | |
| "Coordinates:\n", | |
| " x (lat, lon) int64 953500 953500 954000 ... 3333000 3333000 3333000\n", | |
| " y (lat, lon) int64 167000 165500 164000 ... 847500 839500 831500\n", | |
| "Dimensions without coordinates: lat, lon\n", | |
| "Data variables:\n", | |
| " mapping (lat, lon) object b'' b'' b'' b'' b'' b'' ... nan nan nan nan nan\n", | |
| " mask (lat, lon) float64 2.0 2.0 2.0 2.0 2.0 ... nan nan nan nan nan\n", | |
| " firn (lat, lon) float32 37.24 37.23 37.22 37.21 ... nan nan nan nan\n", | |
| " surface (lat, lon) float32 3.967e+03 3.965e+03 3.962e+03 ... nan nan nan\n", | |
| " thickness (lat, lon) float32 2.971e+03 2.791e+03 2.698e+03 ... nan nan nan\n", | |
| " bed (lat, lon) float32 996.2 1.175e+03 1.263e+03 ... nan nan nan\n", | |
| " errbed (lat, lon) float32 40.0 40.0 35.0 33.0 38.0 ... nan nan nan nan\n", | |
| " source (lat, lon) float64 5.0 5.0 5.0 5.0 5.0 ... nan nan nan nan nan\n", | |
| " geoid (lat, lon) float64 1.0 1.0 1.0 1.0 1.0 ... nan nan nan nan nan\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' hidden><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-ae76368b-bab9-4d83-8987-76101353de09' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae76368b-bab9-4d83-8987-76101353de09' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>lat</span>: 696</li><li><span>lon</span>: 3600</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dfeebdfd-d721-41b1-af65-aafca29aafda' class='xr-section-summary-in' type='checkbox' checked><label for='section-dfeebdfd-d721-41b1-af65-aafca29aafda' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>953500 953500 ... 3333000 3333000</div><input id='attrs-994a0091-efc3-4626-a1fa-8e4ff83bcd65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-994a0091-efc3-4626-a1fa-8e4ff83bcd65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b9950e-80cf-4cde-9aa7-0ddd6e7aeb8c' class='xr-var-data-in' type='checkbox'><label for='data-45b9950e-80cf-4cde-9aa7-0ddd6e7aeb8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([[ 953500, 953500, 954000, ..., 952500, 953000, 953000],\n", | |
| " [ 958000, 958000, 958500, ..., 957000, 957500, 957500],\n", | |
| " [ 962500, 963000, 963000, ..., 961500, 962000, 962000],\n", | |
| " ...,\n", | |
| " [3333000, 3333000, 3333000, ..., 3333000, 3333000, 3333000],\n", | |
| " [3333000, 3333000, 3333000, ..., 3333000, 3333000, 3333000],\n", | |
| " [3333000, 3333000, 3333000, ..., 3333000, 3333000, 3333000]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>167000 165500 ... 839500 831500</div><input id='attrs-02d5df04-f18b-47a7-a859-fb0521501307' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02d5df04-f18b-47a7-a859-fb0521501307' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a23ed508-818d-4d1a-abd4-330c2937f4a2' class='xr-var-data-in' type='checkbox'><label for='data-a23ed508-818d-4d1a-abd4-330c2937f4a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([[167000, 165500, 164000, ..., 172000, 170500, 169000],\n", | |
| " [168000, 166500, 164500, ..., 173000, 171500, 169500],\n", | |
| " [169000, 167000, 165500, ..., 174000, 172000, 170500],\n", | |
| " ...,\n", | |
| " [820000, 812000, 804000, ..., 844500, 836500, 828500],\n", | |
| " [821500, 813500, 805500, ..., 846000, 838000, 830000],\n", | |
| " [823000, 815000, 806500, ..., 847500, 839500, 831500]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9803660c-68e6-48f8-a9f9-74f2b812867c' class='xr-section-summary-in' type='checkbox' checked><label for='section-9803660c-68e6-48f8-a9f9-74f2b812867c' class='xr-section-summary' >Data variables: <span>(9)</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>mapping</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>b'' b'' b'' b'' ... nan nan nan nan</div><input id='attrs-5a07f54e-a2ac-4fb1-9f3f-4f6c8d38b154' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a07f54e-a2ac-4fb1-9f3f-4f6c8d38b154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4c4683d-7246-4f68-8f0e-c78f8c6cb336' class='xr-var-data-in' type='checkbox'><label for='data-b4c4683d-7246-4f68-8f0e-c78f8c6cb336' 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>grid_mapping_name :</span></dt><dd>polar_stereographic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>-90.0</dd><dt><span>standard_parallel :</span></dt><dd>-71.0</dd><dt><span>straight_vertical_longitude_from_pole :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378273.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.2794050428205</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[b'', b'', b'', ..., b'', b'', b''],\n", | |
| " [b'', b'', b'', ..., b'', b'', b''],\n", | |
| " [b'', b'', b'', ..., b'', b'', b''],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.0 2.0 2.0 ... nan nan nan nan</div><input id='attrs-59458e29-7312-4e98-80d2-0b02b5269bc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59458e29-7312-4e98-80d2-0b02b5269bc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d7decef-c9ad-48f9-b0d5-da0c9431922b' class='xr-var-data-in' type='checkbox'><label for='data-5d7decef-c9ad-48f9-b0d5-da0c9431922b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>ocean ice_free_land grounded_ice floating_ice lake_vostok</dd><dt><span>source :</span></dt><dd>Antarctic Digital Database (rock outcrop) and Jeremie Mouginot (pers. comm., grounding lines)</dd></dl></div><div class='xr-var-data'><pre>array([[ 2., 2., 2., ..., 2., 2., 2.],\n", | |
| " [ 2., 2., 2., ..., 2., 2., 2.],\n", | |
| " [ 2., 2., 2., ..., 2., 2., 2.],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>firn</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>37.24 37.23 37.22 ... nan nan nan</div><input id='attrs-2dfbed7c-6342-40d0-a679-5a110d88966b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dfbed7c-6342-40d0-a679-5a110d88966b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-663d6409-3d4b-4a7a-86ee-f646971f5f81' class='xr-var-data-in' type='checkbox'><label for='data-663d6409-3d4b-4a7a-86ee-f646971f5f81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>firn air content</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>FAC model from Ligtenberg et al., 2011, forced by RACMO2.3p2 (van Wessem et al., 2018)</dd></dl></div><div class='xr-var-data'><pre>array([[37.23608 , 37.225147, 37.219936, ..., 37.250393, 37.248302,\n", | |
| " 37.240704],\n", | |
| " [37.290276, 37.282333, 37.27475 , ..., 37.304825, 37.301945,\n", | |
| " 37.292255],\n", | |
| " [37.33827 , 37.336517, 37.328915, ..., 37.34064 , 37.344006,\n", | |
| " 37.339718],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.967e+03 3.965e+03 ... nan nan</div><input id='attrs-0a9aef1f-8904-490d-8ccb-d9bcc25eade1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a9aef1f-8904-490d-8ccb-d9bcc25eade1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4db8c26-4474-47c0-96f4-4a2a2d05f8ed' class='xr-var-data-in' type='checkbox'><label for='data-d4db8c26-4474-47c0-96f4-4a2a2d05f8ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><pre>array([[3967.3008, 3965.486 , 3961.5398, ..., 3966.1375, 3966.3796,\n", | |
| " 3966.5461],\n", | |
| " [3966.7708, 3964.2097, 3960.0667, ..., 3965.4575, 3965.6887,\n", | |
| " 3966.7217],\n", | |
| " [3966.8323, 3963.978 , 3961.846 , ..., 3969.1128, 3968.237 ,\n", | |
| " 3967.3132],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.971e+03 2.791e+03 ... nan nan</div><input id='attrs-76442147-27d8-491a-a2c5-48cbbf0acdbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76442147-27d8-491a-a2c5-48cbbf0acdbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0608c3db-d725-4c3b-9562-345cbe8dc57b' class='xr-var-data-in' type='checkbox'><label for='data-0608c3db-d725-4c3b-9562-345cbe8dc57b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>array([[2971.109 , 2790.5784, 2698.0933, ..., 2846.4448, 2977.5938,\n", | |
| " 3016.81 ],\n", | |
| " [3116.577 , 3060.1646, 2969.2512, ..., 2882.7227, 3020.3386,\n", | |
| " 3117.399 ],\n", | |
| " [3225.207 , 3230.7556, 3265.8325, ..., 3049.1357, 3143.68 ,\n", | |
| " 3186.8599],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>996.2 1.175e+03 ... nan nan</div><input id='attrs-fad9ab9a-e090-4c43-88da-50daf2911239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad9ab9a-e090-4c43-88da-50daf2911239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409ab428-f6ee-4661-9a31-1212d12b9b9a' class='xr-var-data-in' type='checkbox'><label for='data-409ab428-f6ee-4661-9a31-1212d12b9b9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>array([[ 996.1919 , 1174.9077 , 1263.4465 , ..., 1119.6926 , 988.7859 ,\n", | |
| " 949.7361 ],\n", | |
| " [ 850.19385, 904.04517, 990.8154 , ..., 1082.7349 , 945.3501 ,\n", | |
| " 849.32275],\n", | |
| " [ 741.62524, 733.2224 , 696.0134 , ..., 919.97705, 824.5571 ,\n", | |
| " 780.45337],\n", | |
| " ...,\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan],\n", | |
| " [ nan, nan, nan, ..., nan, nan,\n", | |
| " nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>errbed</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>40.0 40.0 35.0 33.0 ... nan nan nan</div><input id='attrs-c3dd80fc-e617-4a44-b513-5cf08d0b2272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3dd80fc-e617-4a44-b513-5cf08d0b2272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14dbade6-c652-4291-82a6-985f3842efe8' class='xr-var-data-in' type='checkbox'><label for='data-14dbade6-c652-4291-82a6-985f3842efe8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography/ice thickness error</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>array([[40., 40., 35., ..., 35., 38., 30.],\n", | |
| " [35., 38., 32., ..., 30., 38., 33.],\n", | |
| " [30., 40., 33., ..., 35., 38., 34.],\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></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0 5.0 5.0 5.0 ... nan nan nan nan</div><input id='attrs-db85e78a-113c-4e52-862c-b1d21faf3fa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db85e78a-113c-4e52-862c-b1d21faf3fa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-967f8acc-c302-441c-bcbe-8e65c8a33b05' class='xr-var-data-in' type='checkbox'><label for='data-967f8acc-c302-441c-bcbe-8e65c8a33b05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data source</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1 2 3 4 5 6 7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA_IBCSO mass_conservation interpolation hydrostatic streamline_diffusion gravity seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>array([[ 5., 5., 5., ..., 5., 5., 5.],\n", | |
| " [ 5., 5., 5., ..., 5., 5., 5.],\n", | |
| " [ 5., 5., 5., ..., 5., 5., 5.],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-6dc37a33-d2f8-4eff-8ba3-39659d8b537e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dc37a33-d2f8-4eff-8ba3-39659d8b537e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd67f295-85be-4f3a-a6e8-32d2ab3fb83f' class='xr-var-data-in' type='checkbox'><label for='data-bd67f295-85be-4f3a-a6e8-32d2ab3fb83f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EIGEN-EC4 Geoid - WGS84 Ellipsoid difference</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>geoid :</span></dt><dd>eigen-6c4 (Forste et al 2014)</dd></dl></div><div class='xr-var-data'><pre>array([[ 1., 1., 1., ..., 2., 2., 1.],\n", | |
| " [ 2., 1., 1., ..., 2., 2., 2.],\n", | |
| " [ 2., 2., 2., ..., 2., 2., 2.],\n", | |
| " ...,\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan],\n", | |
| " [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6d39ee6-108f-424b-a5d6-ed9e54cb6d12' class='xr-section-summary-in' type='checkbox' ><label for='section-c6d39ee6-108f-424b-a5d6-ed9e54cb6d12' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>15-Jul-2020 (v2.0)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (lat: 696, lon: 3600)\n", | |
| "Coordinates:\n", | |
| " x (lat, lon) int64 953500 953500 954000 ... 3333000 3333000 3333000\n", | |
| " y (lat, lon) int64 167000 165500 164000 ... 847500 839500 831500\n", | |
| "Dimensions without coordinates: lat, lon\n", | |
| "Data variables:\n", | |
| " mapping (lat, lon) object b'' b'' b'' b'' b'' b'' ... nan nan nan nan nan\n", | |
| " mask (lat, lon) float64 2.0 2.0 2.0 2.0 2.0 ... nan nan nan nan nan\n", | |
| " firn (lat, lon) float32 37.24 37.23 37.22 37.21 ... nan nan nan nan\n", | |
| " surface (lat, lon) float32 3.967e+03 3.965e+03 3.962e+03 ... nan nan nan\n", | |
| " thickness (lat, lon) float32 2.971e+03 2.791e+03 2.698e+03 ... nan nan nan\n", | |
| " bed (lat, lon) float32 996.2 1.175e+03 1.263e+03 ... nan nan nan\n", | |
| " errbed (lat, lon) float32 40.0 40.0 35.0 33.0 38.0 ... nan nan nan nan\n", | |
| " source (lat, lon) float64 5.0 5.0 5.0 5.0 5.0 ... nan nan nan nan nan\n", | |
| " geoid (lat, lon) float64 1.0 1.0 1.0 1.0 1.0 ... nan nan nan nan nan\n", | |
| "Attributes: (12/17)\n", | |
| " Conventions: CF-1.7\n", | |
| " Title: BedMachine Antarctica\n", | |
| " Author: Mathieu Morlighem\n", | |
| " version: 15-Jul-2020 (v2.0)\n", | |
| " nx: 13333.0\n", | |
| " ny: 13333.0\n", | |
| " ... ...\n", | |
| " ymax: 3333000\n", | |
| " spacing: 500\n", | |
| " no_data: -9999.0\n", | |
| " license: No restrictions on access or use\n", | |
| " Data_citation: Morlighem M. et al., (2019), Deep glacial tr...\n", | |
| " Notes: Data processed at the Department of Earth Sy..." | |
| ] | |
| }, | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "tmp = bedbathy.sel(x=x2_da, y=y2_da, method='nearest').load()\n", | |
| "tmp" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.collections.QuadMesh at 0x147cff56f790>" | |
| ] | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment