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   "metadata": {},
   "source": [
    "![logo](./img/LogoLine_horizon_C3S.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2224d88f",
   "metadata": {},
   "source": [
    "# Exploring Ice sheet Gravimetric Mass Balance data, available through the C3S Climate Data Store"
   ]
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  {
   "cell_type": "markdown",
   "id": "dfd560de",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This tutorial will demonstrate how to plot the Gravimetric Mass Balance (GMB) data for selected regions across the Greenland or Antarctic ice sheets, using data from the Copernicus Climate Change Service (C3S). Gravimetric Mass Balance refers to the changes in the mass of ice sheets determined from satellite gravimetry, which measures variations in the Earth's gravity field due to ice mass changes. These data are crucial for understanding how ice sheets contribute to sea level rise.\n",
    "\n",
    "The GMB data provides estimates of ice mass loss or gain over time, derived from satellite-based gravimetric measurements from the GRACE and GRACE-FO satellites. These measurements track changes in the gravitational field caused by shifts in mass, such as the movement or melting of ice. The GMB data allows researchers to monitor long-term trends in ice sheet dynamics and their contribution to global sea level changes.\n",
    "\n",
    "It will show you how to download data from the C3S Climate Data Store (CDS), calculate average change rates over a selectable period, and display the results."
   ]
  },
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   "cell_type": "markdown",
   "id": "c78b3f54",
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   "source": [
    "### Data Description:\n",
    "\n",
    "- **Source**: Copernicus Climate Change Service (C3S) Climate Data Store (CDS) \n",
    "- **Data Type**: Satellite-based gravimetric measurements\n",
    "- **Coverage**: Greenland and Antarctic ice sheets\n",
    "- **Variables**: Time series of mass balance changes over specific regions with basin numbers\n",
    "- **Format**: NetCDF4 files"
   ]
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   "source": [
    "## Prerequisites and data acquisition\n",
    "\n",
    "This tutorial is in the form of a Jupyter notebook. It can be run on a cloud environment, or on your own computer. You will not need to install any software for the training as there are a number of free cloud-based services to create, edit, run and export Jupyter notebooks such as this. Here are some suggestions (simply click on one of the links below to run the notebook):"
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    "<style>\n",
    "td, th {\n",
    "   border: 1px solid white;\n",
    "   border-collapse: collapse;\n",
    "}\n",
    "</style>\n",
    "<table align=\"left\">\n",
    "  <tr>\n",
    "    <th>Run the tutorial via free cloud platforms: </th>\n",
    "    <th><a href=\"https://notebooks.gesis.org/binder/jupyter/user/ecmwf-projects--us-training-c3s-0vneba36/doc/tree/srb-claraA3.ipynb\">\n",
    "        <img src = \"https://mybinder.org/badge.svg\" alt = \"Binder\"></th>\n",
    "    <th><a href=\"https://colab.research.google.com/github/ecmwf-projects/copernicus-training-c3s/blob/gh-pages/&#95;sources/srb-claraA3.ipynb\">\n",
    "        <img src = \"https://colab.research.google.com/assets/colab-badge.svg\" alt = \"Colab\"></th>\n",
    "  </tr>\n",
    "</table>\n",
    "<br><br>"
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   "id": "5042e340",
   "metadata": {},
   "source": [
    "We are using `cdsapi` to download the data. This package is not yet included by default on most cloud platforms. You can use `pip` to install it. We use an exclamation mark to pass the command to the shell (not to the Python interpreter)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9f01453e",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -q cdsapi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffc341e9",
   "metadata": {},
   "source": [
    "### Import libraries\n",
    "\n",
    "The data is stored in netCDF4 files. To work with them, several libraries are needed. These are used to retrieve the data, unpack it, run calculations and plot the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b9f3e88d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CDS API\n",
    "import cdsapi\n",
    "\n",
    "# File handling\n",
    "import shutil\n",
    "import glob\n",
    "import os\n",
    "\n",
    "# Calculations\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "# Mapping\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "# Plotting\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be34fd55",
   "metadata": {},
   "source": [
    "### Download data using CDS API\n",
    "\n",
    "This section is provides all necessary settings and input data to successfully run the use cases, and produce the figures. \n",
    "\n",
    "### Set up CDS API credentials\n",
    "\n",
    "We will request data from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/). In case you don't have an account yet, please click on \"Login/register\" at the right top and select \"Create new account\". With the process finished you are able to login to the CDS and can search for your preferred data.\n",
    "\n",
    "We will request data from the CDS programmatically with the help of the CDS API. \n",
    "First, we need to manually set the CDS API credentials. \n",
    "To do so, we need to define two variables: URL and KEY. \n",
    "To obtain these, first login to the CDS, then visit https://cds.climate.copernicus.eu/how-to-api and copy the string of characters listed after \"key:\". Replace the `#########` below with this string.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "81e5a563",
   "metadata": {},
   "outputs": [],
   "source": [
    "URL = 'https://cds.climate.copernicus.eu/api'\n",
    "KEY = '############'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fd6e6cf",
   "metadata": {},
   "source": [
    "### Search for data\n",
    "\n",
    "Select the ice sheet of interest and retrieve the dataset. An example of how to retrieve the data is given on the CDS, under 'Show API request' on the dataset's webpage at https://cds.climate.copernicus.eu/datasets/satellite-ice-sheet-mass-balance?tab=download\n",
    "\n",
    "The dataset comes in a zip file, and may include several files. Only the most recent is necessary - this contains all of the data in previous files, plus the latest update. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ec035ca9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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     "text": [
      "2024-12-17 13:56:40,302 INFO [2024-09-28T00:00:00] **Welcome to the New Climate Data Store (CDS)!** This new system is in its early days of full operations and still undergoing enhancements and fine tuning. Some disruptions are to be expected. Your \n",
      "[feedback](https://jira.ecmwf.int/plugins/servlet/desk/portal/1/create/202) is key to improve the user experience on the new CDS for the benefit of everyone. Thank you.\n",
      "2024-12-17 13:56:40,303 INFO [2024-09-26T00:00:00] Watch our [Forum](https://forum.ecmwf.int/) for Announcements, news and other discussed topics.\n",
      "2024-12-17 13:56:40,304 INFO [2024-09-16T00:00:00] Remember that you need to have an ECMWF account to use the new CDS. **Your old CDS credentials will not work in new CDS!**\n",
      "2024-12-17 13:56:40,304 WARNING [2024-06-16T00:00:00] CDS API syntax is changed and some keys or parameter names may have also changed. To avoid requests failing, please use the \"Show API request code\" tool on the dataset Download Form to check you are using the correct syntax for your API request.\n",
      "2024-12-17 13:56:41,245 INFO Request ID is 532a4d76-7b24-443c-9284-64924f9926d2\n",
      "2024-12-17 13:56:41,315 INFO status has been updated to accepted\n",
      "2024-12-17 13:56:46,371 INFO status has been updated to running\n",
      "2024-12-17 13:56:55,101 INFO status has been updated to successful\n"
     ]
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     "text": [
      "In the following you are seeing the data from: \n",
      "C3S_GMB_GRACE_vers4.nc\n"
     ]
    }
   ],
   "source": [
    "# Set ice_sheet to the desired ice sheet, either 'AntIS' or 'GrIS'\n",
    "# This will be used to select data, and later to set up plot defaults\n",
    "\n",
    "#ice_sheet = 'AntIS' # \n",
    "ice_sheet = 'GrIS' # \n",
    "\n",
    "# Download data from the CDS\n",
    "c = cdsapi.Client(\n",
    "    # url=URL, key=KEY,\n",
    ")\n",
    "\n",
    "c.retrieve(\n",
    "    'satellite-ice-sheet-mass-balance',\n",
    "    {\n",
    "        'variable': 'all',\n",
    "        'format': 'zip',\n",
    "    },\n",
    "    'download.zip')\n",
    "\n",
    "# Unpack the zip file and remove the zipped data\n",
    "\n",
    "shutil.unpack_archive('download.zip', '.')\n",
    "os.remove('download.zip')\n",
    "\n",
    "# # List the files contained and select the latest netCDF (.nc) file. Print its filename\n",
    "\n",
    "list_of_files = glob.glob('*.nc') # * means all if need specific format then *.nc\n",
    "latest_file = max(list_of_files, key=os.path.getctime)\n",
    "print('In the following you are seeing the data from: \\n'+latest_file)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4da779e",
   "metadata": {},
   "source": [
    "## Explore the data\n",
    "\n",
    "Open the data file and list its contents. These include descriptive comments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9b897adb",
   "metadata": {},
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       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 14MB\n",
       "Dimensions:                (t: 216, AntB: 901322, N: 3, GrisB: 272965)\n",
       "Dimensions without coordinates: t, AntB, N, GrisB\n",
       "Data variables: (12/81)\n",
       "    time                   (t) datetime64[ns] 2kB ...\n",
       "    AntBasin               (AntB, N) float32 11MB ...\n",
       "    GrISBasin              (GrisB, N) float32 3MB ...\n",
       "    GrIS_total             (t) float32 864B ...\n",
       "    GrIS_total_er          (t) float32 864B ...\n",
       "    GrIS_1                 (t) float32 864B ...\n",
       "    ...                     ...\n",
       "    East_AntIS_total       (t) float32 864B ...\n",
       "    East_AntIS_total_er    (t) float32 864B ...\n",
       "    West_AntIS_total       (t) float32 864B ...\n",
       "    West_AntIS_total_er    (t) float32 864B ...\n",
       "    AntIS_total            (t) float32 864B ...\n",
       "    AntIS_total_er         (t) float32 864B ...\n",
       "Attributes:\n",
       "    Title:                GMB for Greenland and Antarctica ice sheets from th...\n",
       "    institution:          DTU Space - Geodesy and Earth Observations\n",
       "    reference:            Baratta et al. (2016), Groh and Horwart (2016)\n",
       "    file_creation_date:   Tue May 16 09:49:32 2023\n",
       "    region:               Greenland and Antarctica\n",
       "    missions_used:        GRACE and and GRACE-FO\n",
       "    time_coverage_start:  Apr-2002\n",
       "    time_coverage_end:    Dec-2022\n",
       "    Tracking_id:          ab2360a4-82d5-42f3-babb-90ce976a8a8e\n",
       "    netCDF_version:       NETCDF4\n",
       "    product_version:      4.0\n",
       "    Summary:              This data set is prepared for the C3S project, and ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-51a570e7-83fc-428a-8c63-035e76f04e27' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-51a570e7-83fc-428a-8c63-035e76f04e27' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>t</span>: 216</li><li><span>AntB</span>: 901322</li><li><span>N</span>: 3</li><li><span>GrisB</span>: 272965</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bb474f43-7a54-4fc6-b655-d22dd2b89c90' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb474f43-7a54-4fc6-b655-d22dd2b89c90' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-63df9e99-d199-47a6-9086-0fb3fd1ef8cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-63df9e99-d199-47a6-9086-0fb3fd1ef8cc' class='xr-section-summary' >Data variables: <span>(81)</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>time</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c54e4315-e140-4e83-9046-66ceefbd67d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c54e4315-e140-4e83-9046-66ceefbd67d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-072f8d7f-e108-4c19-a4fc-459e629f14a0' class='xr-var-data-in' type='checkbox'><label for='data-072f8d7f-e108-4c19-a4fc-459e629f14a0' 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>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntBasin</span></div><div class='xr-var-dims'>(AntB, N)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8dae5d0-e42b-4e1c-a9df-2daa5bd695c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8dae5d0-e42b-4e1c-a9df-2daa5bd695c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e62763e2-335a-432d-ab50-e538716c1f0b' class='xr-var-data-in' type='checkbox'><label for='data-e62763e2-335a-432d-ab50-e538716c1f0b' 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>Antarctic_Basin_definition</dd><dt><span>column_meanings :</span></dt><dd>Latitude, Longitude, basin_number</dd><dt><span>units :</span></dt><dd>degrees_north degrees_east number</dd><dt><span>reference :</span></dt><dd>Zwally antarctic basins http://imbie.org/imbie-3/drainage-basins/</dd></dl></div><div class='xr-var-data'><pre>[2703966 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrISBasin</span></div><div class='xr-var-dims'>(GrisB, N)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2abd8b9e-d156-4548-887c-7c03bdd0b7d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2abd8b9e-d156-4548-887c-7c03bdd0b7d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea474487-62db-4d95-821f-4224b5f603e5' class='xr-var-data-in' type='checkbox'><label for='data-ea474487-62db-4d95-821f-4224b5f603e5' 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>Greenland_Basin_definition</dd><dt><span>column_meanings :</span></dt><dd>Latitude, Longitude, basin_number</dd><dt><span>units :</span></dt><dd>degrees_north degrees_east number</dd><dt><span>reference :</span></dt><dd>Zwally Greenland basins http://imbie.org/imbie-3/drainage-basins/</dd></dl></div><div class='xr-var-data'><pre>[818895 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_total</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d3585b7-33b3-4295-95bc-1784fc33866e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d3585b7-33b3-4295-95bc-1784fc33866e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-342369c2-27c9-45c5-8ace-c61b4fd1ddc6' class='xr-var-data-in' type='checkbox'><label for='data-342369c2-27c9-45c5-8ace-c61b4fd1ddc6' 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>Greenland_ice_sheet_total_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_total_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50b84e35-c519-4eb1-9481-385835025c6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50b84e35-c519-4eb1-9481-385835025c6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-860c2b6c-3760-4ec0-855f-40c5079c6b87' class='xr-var-data-in' type='checkbox'><label for='data-860c2b6c-3760-4ec0-855f-40c5079c6b87' 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>Greenland_ice_sheet_total_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_1</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-002c5e0c-7a62-4eec-a837-6bf62188642c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-002c5e0c-7a62-4eec-a837-6bf62188642c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a44320ad-0a27-4789-b7c2-049ba29269b5' class='xr-var-data-in' type='checkbox'><label for='data-a44320ad-0a27-4789-b7c2-049ba29269b5' 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>Greenland_ice_sheet_basin_1_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_1_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98f745cd-7b86-4f20-9ab5-060ee5b7d593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f745cd-7b86-4f20-9ab5-060ee5b7d593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b2a0693-20e6-4876-a208-82cfc9ed0eff' class='xr-var-data-in' type='checkbox'><label for='data-7b2a0693-20e6-4876-a208-82cfc9ed0eff' 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>Greenland_ice_sheet_basin_1_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_2</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8d901b8-abe5-4200-9cd5-69957222199a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8d901b8-abe5-4200-9cd5-69957222199a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49cf172d-4db1-432c-9572-c0a3698001aa' class='xr-var-data-in' type='checkbox'><label for='data-49cf172d-4db1-432c-9572-c0a3698001aa' 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>Greenland_ice_sheet_basin_2_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_2_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ae0555f-a905-4917-bec8-4bed81dbcf38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae0555f-a905-4917-bec8-4bed81dbcf38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa13c3d-05b0-42ed-8a56-6774848ec772' class='xr-var-data-in' type='checkbox'><label for='data-baa13c3d-05b0-42ed-8a56-6774848ec772' 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>Greenland_ice_sheet_basin_2_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_3</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-deba761d-83c3-46fa-a9e6-34f6bcf86cee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deba761d-83c3-46fa-a9e6-34f6bcf86cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb12d3b8-4e84-4208-ad8e-a542571d1d2a' class='xr-var-data-in' type='checkbox'><label for='data-cb12d3b8-4e84-4208-ad8e-a542571d1d2a' 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>Greenland_ice_sheet_basin_3_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_3_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a51bc1e-248c-4353-b406-8e7c78c5aa33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a51bc1e-248c-4353-b406-8e7c78c5aa33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbbcc7b-a31d-421b-82e9-af28bb81bfe1' class='xr-var-data-in' type='checkbox'><label for='data-7dbbcc7b-a31d-421b-82e9-af28bb81bfe1' 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>Greenland_ice_sheet_basin_3_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_4</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-241659ad-844a-41f6-8742-eb8a7edcdcde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-241659ad-844a-41f6-8742-eb8a7edcdcde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31a53f3c-8bc8-460a-8da9-ed94f5c84bff' class='xr-var-data-in' type='checkbox'><label for='data-31a53f3c-8bc8-460a-8da9-ed94f5c84bff' 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>Greenland_ice_sheet_basin_4_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_4_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73577d90-ae8d-4cf9-be4b-d7d529b6e1e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73577d90-ae8d-4cf9-be4b-d7d529b6e1e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec84d59-8b8b-49de-b006-498e44eff3e5' class='xr-var-data-in' type='checkbox'><label for='data-bec84d59-8b8b-49de-b006-498e44eff3e5' 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>Greenland_ice_sheet_basin_4_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_5</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea99120b-4261-4426-8f5a-38756eacd1ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea99120b-4261-4426-8f5a-38756eacd1ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-625482b2-965a-4ce8-a1ff-ed8e086103e1' class='xr-var-data-in' type='checkbox'><label for='data-625482b2-965a-4ce8-a1ff-ed8e086103e1' 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>Greenland_ice_sheet_basin_5_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_5_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-559c66a8-2d55-4f5f-8451-3e772609dd3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-559c66a8-2d55-4f5f-8451-3e772609dd3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddb233a0-8ef1-4259-b3fe-c85136b056dc' class='xr-var-data-in' type='checkbox'><label for='data-ddb233a0-8ef1-4259-b3fe-c85136b056dc' 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>Greenland_ice_sheet_basin_5_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_6</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1bed335b-1167-4c17-9fd8-e7877b72406a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bed335b-1167-4c17-9fd8-e7877b72406a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ff7349f-1466-4003-9ee4-632cb3991520' class='xr-var-data-in' type='checkbox'><label for='data-0ff7349f-1466-4003-9ee4-632cb3991520' 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>Greenland_ice_sheet_basin_6_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_6_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-981eee89-ce29-4305-86dc-fd4986727010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-981eee89-ce29-4305-86dc-fd4986727010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8a50b53-e1c1-473d-9c88-7bcf08ae9954' class='xr-var-data-in' type='checkbox'><label for='data-c8a50b53-e1c1-473d-9c88-7bcf08ae9954' 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>Greenland_ice_sheet_basin_6_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_7</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0f197aa-718b-4bd5-8f9e-bb87e792cd3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0f197aa-718b-4bd5-8f9e-bb87e792cd3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90b78c2c-0cce-4e64-8205-9df22e4c04d0' class='xr-var-data-in' type='checkbox'><label for='data-90b78c2c-0cce-4e64-8205-9df22e4c04d0' 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>Greenland_ice_sheet_basin_7_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_7_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6314b5aa-4a8d-4099-b9f0-1dac00f8fa05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6314b5aa-4a8d-4099-b9f0-1dac00f8fa05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-290550db-21e7-48bd-80e5-d8358c965ebc' class='xr-var-data-in' type='checkbox'><label for='data-290550db-21e7-48bd-80e5-d8358c965ebc' 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>Greenland_ice_sheet_basin_7_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_8</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9eb67b78-b026-49d8-8c08-e6a58fc2e5f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb67b78-b026-49d8-8c08-e6a58fc2e5f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c74b28ab-f1d4-4f4a-ab8a-794e040b68b0' class='xr-var-data-in' type='checkbox'><label for='data-c74b28ab-f1d4-4f4a-ab8a-794e040b68b0' 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>Greenland_ice_sheet_basin_8_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GrIS_8_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa3a4c77-533d-428a-95b8-4d13c96d6c4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa3a4c77-533d-428a-95b8-4d13c96d6c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d567ca66-d2da-4181-af7b-35d61fdcc5f2' class='xr-var-data-in' type='checkbox'><label for='data-d567ca66-d2da-4181-af7b-35d61fdcc5f2' 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>Greenland_ice_sheet_basin_8_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_1</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed7bd48d-8ee5-43a8-8932-41eca2f6ebe4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed7bd48d-8ee5-43a8-8932-41eca2f6ebe4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cbe56e3-b530-4ed2-84e2-06c24f60599c' class='xr-var-data-in' type='checkbox'><label for='data-1cbe56e3-b530-4ed2-84e2-06c24f60599c' 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>Antarctic_ice_sheet_basin_1_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_1_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a8395358-02af-4e2e-802a-b3a3feb0bb89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8395358-02af-4e2e-802a-b3a3feb0bb89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39b0579e-0b0f-4a30-925d-49eb4f5082f8' class='xr-var-data-in' type='checkbox'><label for='data-39b0579e-0b0f-4a30-925d-49eb4f5082f8' 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>Antarctic_ice_sheet_basin_1_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_2</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8464f240-8e80-4f13-a77a-a3d7bab7a223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8464f240-8e80-4f13-a77a-a3d7bab7a223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9730bf6c-26ff-44af-af12-ba880f52aebd' class='xr-var-data-in' type='checkbox'><label for='data-9730bf6c-26ff-44af-af12-ba880f52aebd' 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>Antarctic_ice_sheet_basin_2_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_2_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa536d19-3596-4b93-82f4-c45330da1240' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa536d19-3596-4b93-82f4-c45330da1240' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64a06bae-7e8c-4fb7-9d83-690180c63178' class='xr-var-data-in' type='checkbox'><label for='data-64a06bae-7e8c-4fb7-9d83-690180c63178' 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>Antarctic_ice_sheet_basin_2_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_3</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-187ff6e5-387a-4536-ad5b-2956239997d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-187ff6e5-387a-4536-ad5b-2956239997d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3316c433-4081-4420-aef2-10942ebb93e4' class='xr-var-data-in' type='checkbox'><label for='data-3316c433-4081-4420-aef2-10942ebb93e4' 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>Antarctic_ice_sheet_basin_3_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_3_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01515191-b2bd-4168-bce6-9468e9b91f70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01515191-b2bd-4168-bce6-9468e9b91f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2faabb25-cfcf-4b5b-9156-da1368948271' class='xr-var-data-in' type='checkbox'><label for='data-2faabb25-cfcf-4b5b-9156-da1368948271' 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>Antarctic_ice_sheet_basin_3_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_4</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2299823b-b5aa-405b-aa0e-6f963d0e07d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2299823b-b5aa-405b-aa0e-6f963d0e07d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-341358da-89c0-48ff-8d14-dd8b91758d99' class='xr-var-data-in' type='checkbox'><label for='data-341358da-89c0-48ff-8d14-dd8b91758d99' 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>Antarctic_ice_sheet_basin_4_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_4_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a04b7387-5c2c-4b50-b86c-6c22ef06d4e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a04b7387-5c2c-4b50-b86c-6c22ef06d4e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14319563-2ea4-4c3e-91e1-83ab12cb607e' class='xr-var-data-in' type='checkbox'><label for='data-14319563-2ea4-4c3e-91e1-83ab12cb607e' 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>Antarctic_ice_sheet_basin_4_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_5</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a72af136-3493-408b-a06d-f39d052f7ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a72af136-3493-408b-a06d-f39d052f7ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f016d93-1cf7-42cf-89a4-4e5954339256' class='xr-var-data-in' type='checkbox'><label for='data-5f016d93-1cf7-42cf-89a4-4e5954339256' 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>Antarctic_ice_sheet_basin_5_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_5_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d38cf517-88b9-434d-8281-ff0ef128917b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d38cf517-88b9-434d-8281-ff0ef128917b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db380a2a-43da-4523-a25f-a7616f49533d' class='xr-var-data-in' type='checkbox'><label for='data-db380a2a-43da-4523-a25f-a7616f49533d' 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>Antarctic_ice_sheet_basin_5_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_6</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef129892-57f5-4c62-ac8a-6668168225be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef129892-57f5-4c62-ac8a-6668168225be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e179c47-6645-416c-804c-2ad36c35324d' class='xr-var-data-in' type='checkbox'><label for='data-9e179c47-6645-416c-804c-2ad36c35324d' 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>Antarctic_ice_sheet_basin_6_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_6_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9db59609-4946-494a-a34a-4c5d96c9d05b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9db59609-4946-494a-a34a-4c5d96c9d05b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d57600a3-a44e-41c4-870e-24f61ac0efdd' class='xr-var-data-in' type='checkbox'><label for='data-d57600a3-a44e-41c4-870e-24f61ac0efdd' 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>Antarctic_ice_sheet_basin_6_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_7</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1ebd058-bcef-4aa8-8bee-80559e1aacd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1ebd058-bcef-4aa8-8bee-80559e1aacd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce5d7b7a-df62-4a73-817f-85bcd88c53be' class='xr-var-data-in' type='checkbox'><label for='data-ce5d7b7a-df62-4a73-817f-85bcd88c53be' 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>Antarctic_ice_sheet_basin_7_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_7_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82956d7e-bc62-4176-9f6b-3b99f1caf431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82956d7e-bc62-4176-9f6b-3b99f1caf431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77bc1b5f-caaa-4e60-9aaa-38c8e739f90d' class='xr-var-data-in' type='checkbox'><label for='data-77bc1b5f-caaa-4e60-9aaa-38c8e739f90d' 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>Antarctic_ice_sheet_basin_7_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_8</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3179a6d2-bfb7-475e-94c0-8c3818e00da9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3179a6d2-bfb7-475e-94c0-8c3818e00da9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-674f367e-b2fb-4fe9-bd25-065582cc7cee' class='xr-var-data-in' type='checkbox'><label for='data-674f367e-b2fb-4fe9-bd25-065582cc7cee' 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>Antarctic_ice_sheet_basin_8_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_8_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-441d104b-9430-48ef-80ce-7ce99fd64b44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441d104b-9430-48ef-80ce-7ce99fd64b44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-580f186c-aac1-4118-8391-d08392e88919' class='xr-var-data-in' type='checkbox'><label for='data-580f186c-aac1-4118-8391-d08392e88919' 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>Antarctic_ice_sheet_basin_8_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_9</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cc4d7dd-3f82-487b-994a-58edf559a676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cc4d7dd-3f82-487b-994a-58edf559a676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fc0bd6c-06cf-45df-822b-9ef43fc428ca' class='xr-var-data-in' type='checkbox'><label for='data-3fc0bd6c-06cf-45df-822b-9ef43fc428ca' 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>Antarctic_ice_sheet_basin_9_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_9_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bf02301-0f5b-4279-9440-af68c7cd1e5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bf02301-0f5b-4279-9440-af68c7cd1e5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3d6e530-ff1d-4ff4-b7b6-b05ea122054a' class='xr-var-data-in' type='checkbox'><label for='data-c3d6e530-ff1d-4ff4-b7b6-b05ea122054a' 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>Antarctic_ice_sheet_basin_9_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_10</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59c56f69-33bf-46e1-9986-3c818958069b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59c56f69-33bf-46e1-9986-3c818958069b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6a7bac9-7ac2-4860-99ac-6d3f0a932f44' class='xr-var-data-in' type='checkbox'><label for='data-c6a7bac9-7ac2-4860-99ac-6d3f0a932f44' 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>Antarctic_ice_sheet_basin_10_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_10_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fa62de4-2425-4417-a77b-7027f56b2c68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fa62de4-2425-4417-a77b-7027f56b2c68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed59e94b-ee28-4730-81bb-b50974da4dff' class='xr-var-data-in' type='checkbox'><label for='data-ed59e94b-ee28-4730-81bb-b50974da4dff' 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>Antarctic_ice_sheet_basin_10_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_11</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ae09e87-2ee9-4531-b7d8-e8ed60e60481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ae09e87-2ee9-4531-b7d8-e8ed60e60481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b150458-fbc3-45d1-b474-a1b458ae43ff' class='xr-var-data-in' type='checkbox'><label for='data-8b150458-fbc3-45d1-b474-a1b458ae43ff' 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>Antarctic_ice_sheet_basin_11_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_11_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ec834ef-ddb3-4f09-b1b1-a29c587fe40a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ec834ef-ddb3-4f09-b1b1-a29c587fe40a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e62d10-31e2-4421-a49a-7ce575bbc931' class='xr-var-data-in' type='checkbox'><label for='data-70e62d10-31e2-4421-a49a-7ce575bbc931' 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>Antarctic_ice_sheet_basin_11_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_12</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7d483be-f42e-4d40-8274-7df5bee6e521' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7d483be-f42e-4d40-8274-7df5bee6e521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0621f30-2fe6-4715-a629-dcfaaf625224' class='xr-var-data-in' type='checkbox'><label for='data-e0621f30-2fe6-4715-a629-dcfaaf625224' 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>Antarctic_ice_sheet_basin_12_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_12_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d581126-7d2a-428a-8628-6f67863d0dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d581126-7d2a-428a-8628-6f67863d0dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7672797-9a1d-49b8-bf1c-5a31549434cc' class='xr-var-data-in' type='checkbox'><label for='data-f7672797-9a1d-49b8-bf1c-5a31549434cc' 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>Antarctic_ice_sheet_basin_12_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_13</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af5c3238-102c-4dc7-a531-8823d2f145f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af5c3238-102c-4dc7-a531-8823d2f145f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e95aebf-3e5c-46f0-87e6-d801a9d07189' class='xr-var-data-in' type='checkbox'><label for='data-8e95aebf-3e5c-46f0-87e6-d801a9d07189' 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>Antarctic_ice_sheet_basin_13_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_13_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc598754-16d5-4a9e-811a-5fe9e7439ecd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc598754-16d5-4a9e-811a-5fe9e7439ecd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95e4ebe1-7afd-49b4-b3cc-501898241631' class='xr-var-data-in' type='checkbox'><label for='data-95e4ebe1-7afd-49b4-b3cc-501898241631' 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>Antarctic_ice_sheet_basin_13_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_14</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93bf7db2-cd0e-423a-bd9b-07aa3dda20cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93bf7db2-cd0e-423a-bd9b-07aa3dda20cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-896338a0-c883-43ba-a519-c46fd2b15049' class='xr-var-data-in' type='checkbox'><label for='data-896338a0-c883-43ba-a519-c46fd2b15049' 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>Antarctic_ice_sheet_basin_14_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_14_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea829b26-01a3-4efc-acd9-7e7635f31893' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea829b26-01a3-4efc-acd9-7e7635f31893' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d56c5943-61d6-463e-b7ad-f18261cee5b1' class='xr-var-data-in' type='checkbox'><label for='data-d56c5943-61d6-463e-b7ad-f18261cee5b1' 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>Antarctic_ice_sheet_basin_14_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_15</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f73bbc5-d081-4c21-9da1-fdeb26ec0d67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f73bbc5-d081-4c21-9da1-fdeb26ec0d67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bb3bb45-4014-4c74-a904-831dacbecb99' class='xr-var-data-in' type='checkbox'><label for='data-3bb3bb45-4014-4c74-a904-831dacbecb99' 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>Antarctic_ice_sheet_basin_15_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_15_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2080c3c5-ee87-4dae-9e6f-96a59716e1ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2080c3c5-ee87-4dae-9e6f-96a59716e1ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae3e5789-98aa-42e4-8fe7-a07b945c3e3a' class='xr-var-data-in' type='checkbox'><label for='data-ae3e5789-98aa-42e4-8fe7-a07b945c3e3a' 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>Antarctic_ice_sheet_basin_15_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_16</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8744e477-bbb0-4d3b-a4b5-73ff384210e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8744e477-bbb0-4d3b-a4b5-73ff384210e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0af6125-8e58-4903-babd-6ee7b611f4aa' class='xr-var-data-in' type='checkbox'><label for='data-d0af6125-8e58-4903-babd-6ee7b611f4aa' 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>Antarctic_ice_sheet_basin_16_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_16_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19257da0-db4a-4e06-aaed-7d988f8f2fe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19257da0-db4a-4e06-aaed-7d988f8f2fe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35e0d505-da45-4c8b-8947-7334d82f81b2' class='xr-var-data-in' type='checkbox'><label for='data-35e0d505-da45-4c8b-8947-7334d82f81b2' 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>Antarctic_ice_sheet_basin_16_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_17</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b66e4b9-feb8-4e05-b093-5387efb2be5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b66e4b9-feb8-4e05-b093-5387efb2be5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6404de84-f0e7-493c-aa85-1ac04332ba63' class='xr-var-data-in' type='checkbox'><label for='data-6404de84-f0e7-493c-aa85-1ac04332ba63' 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>Antarctic_ice_sheet_basin_17_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_17_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9167b8c0-a6ed-4e8d-8722-57219f0f61d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9167b8c0-a6ed-4e8d-8722-57219f0f61d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-483c85d9-f127-4178-b58c-04b9c0ee2ed4' class='xr-var-data-in' type='checkbox'><label for='data-483c85d9-f127-4178-b58c-04b9c0ee2ed4' 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>Antarctic_ice_sheet_basin_17_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_18</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26e318cc-7ab8-41a1-92e2-eee0b1dfb001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26e318cc-7ab8-41a1-92e2-eee0b1dfb001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbc41422-e65b-4b24-aea4-07a7988e1b7d' class='xr-var-data-in' type='checkbox'><label for='data-fbc41422-e65b-4b24-aea4-07a7988e1b7d' 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>Antarctic_ice_sheet_basin_18_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_18_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4dfa4f3-1a1a-41e0-b385-3a8b68ad3e43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4dfa4f3-1a1a-41e0-b385-3a8b68ad3e43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a45c8ff-93eb-4c7b-a37e-f55fe8d18477' class='xr-var-data-in' type='checkbox'><label for='data-7a45c8ff-93eb-4c7b-a37e-f55fe8d18477' 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>Antarctic_ice_sheet_basin_18_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_19</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c6b1ef7-95b6-4ec7-99ab-d05f696457d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c6b1ef7-95b6-4ec7-99ab-d05f696457d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-027c352b-7a41-40bc-802b-5c3c91a121d9' class='xr-var-data-in' type='checkbox'><label for='data-027c352b-7a41-40bc-802b-5c3c91a121d9' 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>Antarctic_ice_sheet_basin_19_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_19_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3364b321-cb65-42e9-92d7-b74d31ccaa7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3364b321-cb65-42e9-92d7-b74d31ccaa7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bff96118-a840-48dc-aeb5-3761eca5ac34' class='xr-var-data-in' type='checkbox'><label for='data-bff96118-a840-48dc-aeb5-3761eca5ac34' 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>Antarctic_ice_sheet_basin_19_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_20</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2b1d5bc-6f49-440e-bce7-486f08e009e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2b1d5bc-6f49-440e-bce7-486f08e009e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b30e2335-8835-4de3-97c7-c77474cfbc3a' class='xr-var-data-in' type='checkbox'><label for='data-b30e2335-8835-4de3-97c7-c77474cfbc3a' 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>Antarctic_ice_sheet_basin_20_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_20_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-671fb75a-92c7-47b6-849a-88feed3fd7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-671fb75a-92c7-47b6-849a-88feed3fd7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3061d28e-2e93-418c-b9a4-9a457ba65863' class='xr-var-data-in' type='checkbox'><label for='data-3061d28e-2e93-418c-b9a4-9a457ba65863' 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>Antarctic_ice_sheet_basin_20_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_21</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cde31c60-3f5a-494e-a7b8-f04918ef5c13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cde31c60-3f5a-494e-a7b8-f04918ef5c13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77a11939-b79b-4fe8-ad0f-85cb744a8674' class='xr-var-data-in' type='checkbox'><label for='data-77a11939-b79b-4fe8-ad0f-85cb744a8674' 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>Antarctic_ice_sheet_basin_21_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_21_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-194fb054-fc49-4d3d-8033-8b14a5a66376' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-194fb054-fc49-4d3d-8033-8b14a5a66376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-424ccde0-321c-46f5-85a9-c5a9641695ed' class='xr-var-data-in' type='checkbox'><label for='data-424ccde0-321c-46f5-85a9-c5a9641695ed' 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>Antarctic_ice_sheet_basin_21_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_22</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d0f4f7a-7c82-45b6-8616-ef57156848e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d0f4f7a-7c82-45b6-8616-ef57156848e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd6388da-dd9a-4038-b5b0-e3d94ab05ec2' class='xr-var-data-in' type='checkbox'><label for='data-bd6388da-dd9a-4038-b5b0-e3d94ab05ec2' 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>Antarctic_ice_sheet_basin_22_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_22_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2523e398-0f6a-48df-8385-f8968c708565' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2523e398-0f6a-48df-8385-f8968c708565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0382f1a-9d5e-4266-b83e-76689401f1db' class='xr-var-data-in' type='checkbox'><label for='data-c0382f1a-9d5e-4266-b83e-76689401f1db' 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>Antarctic_ice_sheet_basin_22_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_23</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37d01ddd-1fae-4ce4-9e43-b64f7131d5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37d01ddd-1fae-4ce4-9e43-b64f7131d5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e78b20a-00f9-4c6c-86a6-3cc57061789f' class='xr-var-data-in' type='checkbox'><label for='data-9e78b20a-00f9-4c6c-86a6-3cc57061789f' 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>Antarctic_ice_sheet_basin_23_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_23_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58fba946-f8b7-4760-aa5d-ddf58877ba25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58fba946-f8b7-4760-aa5d-ddf58877ba25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02c162ec-2fef-4347-a70c-8909a659db82' class='xr-var-data-in' type='checkbox'><label for='data-02c162ec-2fef-4347-a70c-8909a659db82' 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>Antarctic_ice_sheet_basin_23_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_24</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee5b08c5-3aa1-4a3d-8622-6804219a3dc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee5b08c5-3aa1-4a3d-8622-6804219a3dc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90a98ee-b530-48c5-a89d-ce746f524bb0' class='xr-var-data-in' type='checkbox'><label for='data-b90a98ee-b530-48c5-a89d-ce746f524bb0' 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>Antarctic_ice_sheet_basin_24_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_24_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbf6dde6-dc9e-460b-9de5-5c66f87e88ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbf6dde6-dc9e-460b-9de5-5c66f87e88ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edcec1ae-7428-4ee9-ba1a-46bc05db2559' class='xr-var-data-in' type='checkbox'><label for='data-edcec1ae-7428-4ee9-ba1a-46bc05db2559' 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>Antarctic_ice_sheet_basin_24_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_27</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8c136d3-b105-4e9d-a113-b7280ce0602e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8c136d3-b105-4e9d-a113-b7280ce0602e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc95616-2008-4abf-af3d-f31866aa40f8' class='xr-var-data-in' type='checkbox'><label for='data-2dc95616-2008-4abf-af3d-f31866aa40f8' 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>Antarctic_ice_sheet_basin_27_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_27_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-664b80e7-f82f-4a55-90ab-81ac535afff8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-664b80e7-f82f-4a55-90ab-81ac535afff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf697c6c-0310-4e63-9801-8b5e144112f9' class='xr-var-data-in' type='checkbox'><label for='data-bf697c6c-0310-4e63-9801-8b5e144112f9' 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>Antarctic_ice_sheet_basin_27_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_25_26</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2321621-2234-4465-8750-41a63abf962a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2321621-2234-4465-8750-41a63abf962a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ea05a1b-5df4-4a59-94cb-c47a2fbcf6ac' class='xr-var-data-in' type='checkbox'><label for='data-0ea05a1b-5df4-4a59-94cb-c47a2fbcf6ac' 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>Antarctic_ice_sheet_basin_25_and_26_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_25_26_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89f2e856-5182-40f7-8c19-7fdce7530f18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89f2e856-5182-40f7-8c19-7fdce7530f18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfb338a7-e737-4c7a-ac0a-e32634052a9f' class='xr-var-data-in' type='checkbox'><label for='data-cfb338a7-e737-4c7a-ac0a-e32634052a9f' 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>Antarctic_ice_sheet_basin_25_and_26_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntPeninsula_total</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ad64277-fcea-4a53-8408-8d3ecc1284cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ad64277-fcea-4a53-8408-8d3ecc1284cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d49a626a-5804-47c5-adf9-5da19554d46a' class='xr-var-data-in' type='checkbox'><label for='data-d49a626a-5804-47c5-adf9-5da19554d46a' 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>Antarctic_Peninsula_total_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntPeninsula_total_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1662318e-80d7-404e-8446-031c9e4202b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1662318e-80d7-404e-8446-031c9e4202b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5968c40-177e-49b6-83bb-6cffaff4a3f6' class='xr-var-data-in' type='checkbox'><label for='data-d5968c40-177e-49b6-83bb-6cffaff4a3f6' 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>Antarctic_Peninsula_total_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>East_AntIS_total</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce43d00f-0879-4484-b4b4-a53feb025f78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce43d00f-0879-4484-b4b4-a53feb025f78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3733c82-82ea-42fe-8eb9-6e35d794e2cc' class='xr-var-data-in' type='checkbox'><label for='data-b3733c82-82ea-42fe-8eb9-6e35d794e2cc' 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>East_Antarctic_ice_sheet_total_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>East_AntIS_total_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-620e1b40-0af5-4336-bfb1-1e74f5776079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-620e1b40-0af5-4336-bfb1-1e74f5776079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d33ba3d6-f401-4125-b9c9-f56502e15ce0' class='xr-var-data-in' type='checkbox'><label for='data-d33ba3d6-f401-4125-b9c9-f56502e15ce0' 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>East_Antarctic_ice_sheet_total_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>West_AntIS_total</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf61574b-7ec3-4acd-ba36-f588fa54c229' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf61574b-7ec3-4acd-ba36-f588fa54c229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c5461c3-dde6-4f40-af79-0ff0a5b14509' class='xr-var-data-in' type='checkbox'><label for='data-6c5461c3-dde6-4f40-af79-0ff0a5b14509' 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>West_Antarctic_ice_sheet_total_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>West_AntIS_total_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d6db339-baa7-434e-8085-1938701e32ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d6db339-baa7-434e-8085-1938701e32ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f0b3cd5-4d74-4cf6-a73c-0b9277f3d566' class='xr-var-data-in' type='checkbox'><label for='data-0f0b3cd5-4d74-4cf6-a73c-0b9277f3d566' 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>West_Antarctic_ice_sheet_total_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_total</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc4bb970-6f14-47a2-869b-aba6690d0aac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc4bb970-6f14-47a2-869b-aba6690d0aac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cde7b7e-e71e-4b75-9118-f5df5bffb6c8' class='xr-var-data-in' type='checkbox'><label for='data-9cde7b7e-e71e-4b75-9118-f5df5bffb6c8' 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>Antarctic_ice_sheet_total_GMB</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AntIS_total_er</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5d55d3a-ca56-4af9-bf81-3b8b7b66d53d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5d55d3a-ca56-4af9-bf81-3b8b7b66d53d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-843d0e9f-0a03-44d0-a4f3-69cf73398857' class='xr-var-data-in' type='checkbox'><label for='data-843d0e9f-0a03-44d0-a4f3-69cf73398857' 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>Antarctic_ice_sheet_total_GMB_error</dd><dt><span>units :</span></dt><dd>Gt</dd></dl></div><div class='xr-var-data'><pre>[216 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1387b394-0589-4490-a840-d9a293d3fbfd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1387b394-0589-4490-a840-d9a293d3fbfd' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e5bcb9dc-c27a-43b3-a505-2b4c7c0afb89' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5bcb9dc-c27a-43b3-a505-2b4c7c0afb89' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>GMB for Greenland and Antarctica ice sheets from the GRACE missions</dd><dt><span>institution :</span></dt><dd>DTU Space - Geodesy and Earth Observations</dd><dt><span>reference :</span></dt><dd>Baratta et al. (2016), Groh and Horwart (2016)</dd><dt><span>file_creation_date :</span></dt><dd>Tue May 16 09:49:32 2023</dd><dt><span>region :</span></dt><dd>Greenland and Antarctica</dd><dt><span>missions_used :</span></dt><dd>GRACE and and GRACE-FO</dd><dt><span>time_coverage_start :</span></dt><dd>Apr-2002</dd><dt><span>time_coverage_end :</span></dt><dd>Dec-2022</dd><dt><span>Tracking_id :</span></dt><dd>ab2360a4-82d5-42f3-babb-90ce976a8a8e</dd><dt><span>netCDF_version :</span></dt><dd>NETCDF4</dd><dt><span>product_version :</span></dt><dd>4.0</dd><dt><span>Summary :</span></dt><dd>This data set is prepared for the C3S project, and is brokered from the CCI+ projects of Antarctica and Greenland ice sheets</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 14MB\n",
       "Dimensions:                (t: 216, AntB: 901322, N: 3, GrisB: 272965)\n",
       "Dimensions without coordinates: t, AntB, N, GrisB\n",
       "Data variables: (12/81)\n",
       "    time                   (t) datetime64[ns] 2kB ...\n",
       "    AntBasin               (AntB, N) float32 11MB ...\n",
       "    GrISBasin              (GrisB, N) float32 3MB ...\n",
       "    GrIS_total             (t) float32 864B ...\n",
       "    GrIS_total_er          (t) float32 864B ...\n",
       "    GrIS_1                 (t) float32 864B ...\n",
       "    ...                     ...\n",
       "    East_AntIS_total       (t) float32 864B ...\n",
       "    East_AntIS_total_er    (t) float32 864B ...\n",
       "    West_AntIS_total       (t) float32 864B ...\n",
       "    West_AntIS_total_er    (t) float32 864B ...\n",
       "    AntIS_total            (t) float32 864B ...\n",
       "    AntIS_total_er         (t) float32 864B ...\n",
       "Attributes:\n",
       "    Title:                GMB for Greenland and Antarctica ice sheets from th...\n",
       "    institution:          DTU Space - Geodesy and Earth Observations\n",
       "    reference:            Baratta et al. (2016), Groh and Horwart (2016)\n",
       "    file_creation_date:   Tue May 16 09:49:32 2023\n",
       "    region:               Greenland and Antarctica\n",
       "    missions_used:        GRACE and and GRACE-FO\n",
       "    time_coverage_start:  Apr-2002\n",
       "    time_coverage_end:    Dec-2022\n",
       "    Tracking_id:          ab2360a4-82d5-42f3-babb-90ce976a8a8e\n",
       "    netCDF_version:       NETCDF4\n",
       "    product_version:      4.0\n",
       "    Summary:              This data set is prepared for the C3S project, and ..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Open the NetCDF file wih xarray and print the dataset\n",
    "ds = xr.open_dataset(latest_file)\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc9dbe6c",
   "metadata": {},
   "source": [
    "### Plot the drainage basins\n",
    "\n",
    "Here the user can get an overview of the drainage basins available for the chosen Ice Sheet "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b1e5ae0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load data\n",
    "time_in_hours = ds['time']\n",
    "time_in_hours_array = time_in_hours.values\n",
    "\n",
    "if 'GrIS' in ice_sheet:\n",
    "    drainage_basin = ds['GrISBasin']\n",
    "    basin_range = range(1, 9)  # For GrIS: 1 to 8\n",
    "    cmap = plt.colormaps['jet']\n",
    "elif 'AntIS' in ice_sheet:\n",
    "    drainage_basin = ds['AntBasin']\n",
    "    basin_range = range(1, 28)  # For AntIS: 1 to 27\n",
    "    cmap = plt.colormaps['jet']\n",
    "\n",
    "\n",
    "# Create a figure and axis with a specific projection\n",
    "fig = plt.figure(figsize=(12, 5))\n",
    "\n",
    "if 'GrIS' in ice_sheet:\n",
    "    ax1 = fig.add_subplot(1, 2, 1, projection=ccrs.Orthographic(-45, 71))\n",
    "    ext = [-60, -25, 57, 84]\n",
    "elif 'AntIS' in ice_sheet:\n",
    "    ax1 = fig.add_subplot(1, 2, 1, projection=ccrs.Orthographic(0, -90))\n",
    "    ext = [-180, 180, -90, -60]\n",
    "\n",
    "ax1.add_feature(cfeature.COASTLINE.with_scale('10m'), linewidth=0.5)\n",
    "ax1.set_extent(ext, crs=ccrs.PlateCarree())\n",
    "ax1.add_feature(cfeature.LAND, facecolor='white')\n",
    "ax1.add_feature(cfeature.OCEAN, facecolor='gray')\n",
    "\n",
    "# Add latitude and longitude gridlines\n",
    "gl = ax1.gridlines(draw_labels=True, linewidth=0.5, color='gray', alpha=0.5, linestyle='--')\n",
    "gl.top_labels = False\n",
    "gl.xlabels_top = False\n",
    "gl.xlabels_bottom = True\n",
    "gl.ylabels_left = True\n",
    "gl.ylabels_right = False\n",
    "gl.xlabel_style = {'size': 10}\n",
    "gl.ylabel_style = {'size': 10}\n",
    "\n",
    "# Generate colors from colormap\n",
    "colors = cmap(np.linspace(0, 1, len(basin_range)))  # Get N distinct colors for the number of basins\n",
    "\n",
    "for i, basin_num in enumerate(basin_range):\n",
    "    # Filter data for the specific basin\n",
    "    filtered_basins = drainage_basin.where((drainage_basin[:, 2] - basin_num).astype(int) == 0, drop=True)\n",
    "    basin_numbers_str = filtered_basins[:, 2].astype(str)\n",
    "    filtered_basins_2x = filtered_basins.where(basin_numbers_str.str.startswith(str(basin_num)+'.'), drop=True)\n",
    "    \n",
    "    # Extract latitude, longitude, and basin number\n",
    "    lat, lon, basin_number = filtered_basins_2x[:,0].values, filtered_basins_2x[:,1].values, filtered_basins_2x[:,2].values\n",
    "    \n",
    "    # Sort coordinates by longitude\n",
    "    sorted_indices = np.argsort(lon)\n",
    "    lon_sorted = lon[sorted_indices]\n",
    "    lat_sorted = lat[sorted_indices]\n",
    "    \n",
    "    # Plot the sorted coordinates\n",
    "    ax1.plot(lon_sorted, lat_sorted, color=colors[i], linestyle='dashed', transform=ccrs.PlateCarree())\n",
    "    \n",
    "    # Calculate the midpoint\n",
    "    midpoint_lat = np.mean(lat)\n",
    "    midpoint_lon = np.mean(lon)\n",
    "    \n",
    "    # Add text to the middle of the lat-lon set\n",
    "    ax1.text(midpoint_lon, midpoint_lat, str(basin_num), color='white', transform=ccrs.PlateCarree(), fontsize=10, fontweight='bold')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91da39eb",
   "metadata": {},
   "source": [
    "## Plot a time-series for a selcted drainage basin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9228eadb",
   "metadata": {},
   "source": [
    "Here the data from the selected ice sheet is loaded based on the choosen basin number from above. \n",
    "The variables needed for the plotting below are also extracted here ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d1afb56b-1913-4612-84a5-e85507b38158",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select the basin number:\n",
    "basin_num = 7 # if set 0, then mass loss for all is shown. For GrIS 0-8, for AntIS 0-27 basins\n",
    "\n",
    "# Load data\n",
    "time_in_hours = ds['time']\n",
    "\n",
    "if 'GrIS' in ice_sheet:\n",
    "    drainage_basin = ds['GrISBasin']\n",
    "\n",
    "\n",
    "if 'AntIS' in ice_sheet:\n",
    "    drainage_basin = ds['AntBasin']    \n",
    "\n",
    "if basin_num != 0:        \n",
    "    filtered_basins = drainage_basin.where((drainage_basin[:, 2] - basin_num).astype(int) == 0, drop=True)\n",
    "    basin_numbers_str = filtered_basins[:, 2].astype(str)\n",
    "    filtered_basins_2x = filtered_basins.where(basin_numbers_str.str.startswith(str(basin_num)+'.'), drop=True)\n",
    "    \n",
    "    # Extracting latitude, longitude, and basin number\n",
    "    \n",
    "    lat, lon, basin_number = filtered_basins_2x[:,0].values,filtered_basins_2x[:,1].values,filtered_basins_2x[:,2].values\n",
    " \n",
    "    gmb = ds[str(ice_sheet)+'_'+str(round(basin_num))]\n",
    "    gmb_er = ds[str(ice_sheet)+'_'+str(round(basin_num))+'_er']\n",
    "\n",
    "\n",
    "else:\n",
    "    \n",
    "    lat, lon = drainage_basin[:,0].values,drainage_basin[:,1].values\n",
    "    gmb = ds[str(ice_sheet)+'_total']\n",
    "    gmb_er = ds[str(ice_sheet)+'_total_er']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e109aa7e",
   "metadata": {},
   "source": [
    "### Set up the plot\n",
    "\n",
    "In this plot, we focus on displaying the specific basin area within the selected ice sheet. Each basin represents a predefined region, and its boundary is essential for understanding localized processes such as ice mass changes or environmental conditions. The boundary of the basin is highlighted on the geographical map. This serves as a spatial reference for understanding which part of the ice sheet is being analyzed in the accompanying time series graph.\n",
    "\n",
    "#### Key Components:\n",
    "\n",
    "Basin Area Map: The geographical map shows the specific basin number selected for analysis. It helps orient the user by providing a visual representation of the area under consideration within the larger ice sheet. This is useful for understanding the spatial context of the following analysis.\n",
    "\n",
    "Time Series Graph: \n",
    "Next to the basin map, a graph is displayed that tracks the mass change over time within the selected basin. This graph is where the data is visualized, providing insights into whether the basin has been gaining or losing ice mass over time. The combination of the basin map and time series graph allows us to interpret the temporal changes in mass for a specific region of the ice sheet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "aaf718c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Create a figure and axis with a specific projection\n",
    "fig = plt.figure(figsize=(12, 5))\n",
    "\n",
    "# Create the first subplot with a projection\n",
    "if 'GrIS' in ice_sheet:\n",
    "    ax1 = fig.add_subplot(1, 2, 1, projection=ccrs.Orthographic(-45, 71))\n",
    "    ext = [-60, -25, 57, 84]\n",
    "elif 'AntIS' in ice_sheet:\n",
    "    ax1 = fig.add_subplot(1, 2, 1, projection=ccrs.Orthographic(0, -90))\n",
    "    ext = [-180, 180, -90, -60]\n",
    "\n",
    "ax1.add_feature(cfeature.COASTLINE.with_scale('10m'), linewidth=0.5)\n",
    "ax1.set_extent(ext, crs=ccrs.PlateCarree())\n",
    "ax1.add_feature(cfeature.LAND, facecolor='white')\n",
    "ax1.add_feature(cfeature.OCEAN, facecolor='gray')\n",
    "\n",
    "# Add latitude and longitude gridlines\n",
    "gl = ax1.gridlines(draw_labels=True, linewidth=0.5, color='gray', alpha=0.5, linestyle='--')\n",
    "\n",
    "# Remove latitude labels at the top\n",
    "gl.top_labels = False\n",
    "# Set the label spacing to display labels only once on either side\n",
    "gl.xlabels_top = False\n",
    "gl.xlabels_bottom = True\n",
    "gl.ylabels_left = True\n",
    "gl.ylabels_right = False\n",
    "gl.xlabel_style = {'size': 10}\n",
    "gl.ylabel_style = {'size': 10}\n",
    "\n",
    "# Sort coordinates by longitude\n",
    "sorted_indices = np.argsort(lon)\n",
    "lon_sorted = lon[sorted_indices]\n",
    "lat_sorted = lat[sorted_indices]\n",
    "\n",
    "# Plot the sorted coordinates\n",
    "ax1.plot(lon_sorted, lat_sorted, 'r', linestyle='dashed', transform=ccrs.PlateCarree())\n",
    "ax1.fill(lon_sorted, lat_sorted, color='red', transform=ccrs.PlateCarree())\n",
    "\n",
    "# Calculate the midpoint\n",
    "midpoint_lat = np.mean(lat)\n",
    "midpoint_lon = np.mean(lon)\n",
    "\n",
    "# Add text to the middle of the lat-lon set\n",
    "if basin_num != 0:\n",
    "    ax1.text(midpoint_lon-1, midpoint_lat, str(basin_num), color='white', transform=ccrs.PlateCarree())\n",
    "else:\n",
    "    ax1.text(midpoint_lon-1, midpoint_lat, 'All', color='white', transform=ccrs.PlateCarree())\n",
    "    ax1.add_feature(cfeature.LAND, facecolor='red')\n",
    "\n",
    "# Create the second subplot for time series\n",
    "ax2 = fig.add_subplot(1, 2, 2)\n",
    "ax2.plot(time_in_hours, gmb, '-', color='grey', label='Mass change')\n",
    "ax2.fill_between(time_in_hours, gmb - gmb_er, gmb + gmb_er, alpha=0.3, color='grey', label='Error')\n",
    "ax2.set_xlabel('Time')\n",
    "ax2.set_ylabel('Mass change [GT]')\n",
    "\n",
    "# Set the figure size\n",
    "fig.set_size_inches((12, 5))\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd502c72",
   "metadata": {},
   "source": [
    "**Figure 1:** Overview of mass change for the selected ice sheet basin. The left subplot shows a geographical map of the selected basin (or the entire ice sheet if `basin_num` is 0), highlighting the basin's boundary in red. The right subplot presents the time series of mass change for the basin, with the mass change values shown as a line plot and the associated uncertainties represented by shaded error bands. The map provides spatial context for the temporal changes observed in the time series plot."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad866208",
   "metadata": {},
   "source": [
    "## Key Take-Home Points\n",
    "\n",
    "- **Understanding Ice Sheet Dynamics:**  \n",
    "  The Gravimetric Mass Balance (GMB) data from the Copernicus Climate Change Service (C3S) provides valuable insights into the changes in ice mass across the Greenland and Antarctic ice sheets. By analyzing these data, researchers can monitor how ice sheets contribute to sea level rise and assess long-term trends in ice mass loss or gain.\n",
    "\n",
    "- **Data Visualization:**  \n",
    "  The combination of a geographical basin map and a time series graph is crucial for a comprehensive analysis. The basin map offers a spatial reference, showing the specific region of the ice sheet under investigation. The time series graph, on the other hand, illustrates the temporal changes in ice mass within that basin, providing clear insights into whether the basin is gaining or losing ice mass over time.\n",
    "\n",
    "- **Importance of Basin Selection:**  \n",
    "  Selecting a specific basin for analysis allows for a focused study of localized ice mass changes. Understanding these localized processes is essential for detailed assessments of ice sheet dynamics and their impact on global sea level changes.\n",
    "\n",
    "- **Data Access and Preparation:**  \n",
    "  Accessing and preparing GMB data from the C3S Climate Data Store requires registration and setting up the CDS API. It is essential to follow these steps to ensure successful data retrieval and compliance with dataset terms of use.\n",
    "\n",
    "- **Tools and Libraries:**  \n",
    "  Working with netCDF4 files requires specific libraries for data retrieval, unpacking, calculation, and plotting. Ensuring that these libraries are properly set up is crucial for efficient and accurate analysis.\n",
    "\n",
    "By integrating these elements, you can effectively analyze and interpret the gravimetric mass balance data, gaining insights into ice sheet changes and their broader implications.\n"
   ]
  }
 ],
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