BedMachine-bed-ice-topographies_cloud-hosted-direct-access.ipynb

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   "source": [
    "# TODO\n",
    "# Adjust colormapping so that below sea level are blues"
   ]
  },
  {
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   "execution_count": 2,
   "id": "8e457b4f-9cbc-4612-a7d2-7dd5cb7a860e",
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    "# Using earthaccess access pattern for direct access \"streaming\" of cloud-hosted \n",
    "# MEaSUREs BedMachine Antarctica bed/ice topography dataset, Version 3\n",
    "# \n",
    "# Code  written to run on CryoCloud cloud-computing JupyterHub\n",
    "# Learn more: https://cryointhecloud.com/\n",
    "# \n",
    "# Written 2023-11-15 by Wilson Sauthoff (wsauthoff.github.io)"
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   "source": [
    "# Import libraries\n",
    "import earthaccess\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "import os\n",
    "import xarray as xr"
   ]
  },
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   "execution_count": 4,
   "id": "0fd2b87e-1971-4c70-ad29-419827ac019c",
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    {
     "data": {
      "text/plain": [
       "<earthaccess.auth.Auth at 0x7f3060753a00>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Log into NASA Earthdata to search for datasets\n",
    "earthaccess.login()"
   ]
  },
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   "execution_count": 5,
   "id": "ebf1d304-c292-4442-b193-358fdf49ec67",
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     "name": "stdout",
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     "text": [
      "Granules found: 1\n"
     ]
    }
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   "source": [
    "# Find cloud-hosted MEaSUREs BedMachine Antarctica, Version 3\n",
    "# https://www.doi.org/10.5067/FPSU0V1MWUB6\n",
    "results = earthaccess.search_data(\n",
    "    doi='10.5067/FPSU0V1MWUB6',\n",
    "    cloud_hosted=True,\n",
    "    bounding_box=(1, -89, -1, -89)  # (lower_left_lon, lower_left_lat , upper_right_lon, upper_right_lat))\n",
    ")"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opening 1 granules, approx size: 0.79 GB\n"
     ]
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       "QUEUEING TASKS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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       "PROCESSING TASKS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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      "text/plain": [
       "COLLECTING RESULTS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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    {
     "data": {
      "text/plain": [
       "[<File-like object HTTPFileSystem, https://n5eil01u.ecs.nsidc.org/DP4/MEASURES/NSIDC-0756.003/1970.01.01/BedMachineAntarctica-v3.nc>]"
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     },
     "execution_count": 6,
     "metadata": {},
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   ],
   "source": [
    "# Open data granules as s3 files to stream\n",
    "files = earthaccess.open(results)\n",
    "files"
   ]
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   "execution_count": 7,
   "id": "42319480-66b6-479e-9edc-8375cec851c9",
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      "<File-like object HTTPFileSystem, https://n5eil01u.ecs.nsidc.org/DP4/MEASURES/NSIDC-0756.003/1970.01.01/BedMachineAntarctica-v3.nc>\n"
     ]
    }
   ],
   "source": [
    "# Print file name to ensure expected dataset\n",
    "print(files[0])"
   ]
  },
  {
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   "execution_count": 8,
   "id": "3cb42890-fac5-4ca6-a27c-8dc7494e255e",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "Attributes: (12/17)\n",
       "    Conventions:                 CF-1.7\n",
       "    Title:                       BedMachine Antarctica\n",
       "    Author:                      Mathieu Morlighem\n",
       "    version:                     03-Jun-2022 (v3.4)\n",
       "    nx:                          13333.0\n",
       "    ny:                          13333.0\n",
       "    ...                          ...\n",
       "    ymax:                        3333000\n",
       "    spacing:                     500\n",
       "    no_data:                     -9999.0\n",
       "    license:                     No restrictions on access or use\n",
       "    Data_citation:               Morlighem M. et al., (2019), Deep glacial tr...\n",
       "    Notes:                       Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' 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-b0306cf2-807a-4b61-9229-66733653de57' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0306cf2-807a-4b61-9229-66733653de57' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 13333</li><li><span class='xr-has-index'>y</span>: 13333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-37264e2b-9785-4a7f-90b0-a7a355c41d10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37264e2b-9785-4a7f-90b0-a7a355c41d10' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-f522d2d8-333d-4e28-ae2b-734518e5d9c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f522d2d8-333d-4e28-ae2b-734518e5d9c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-494d6799-eb25-4deb-834f-66c321718258' class='xr-var-data-in' type='checkbox'><label for='data-494d6799-eb25-4deb-834f-66c321718258' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ...,  3332000,  3332500,  3333000],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3333000 3332500 ... -3333000</div><input id='attrs-b46e39ba-cc6a-483c-8c87-41514a5b0c1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b46e39ba-cc6a-483c-8c87-41514a5b0c1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80795406-d499-4d8c-84f8-555c30943021' class='xr-var-data-in' type='checkbox'><label for='data-80795406-d499-4d8c-84f8-555c30943021' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([ 3333000,  3332500,  3332000, ..., -3332000, -3332500, -3333000],\n",
       "      dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b435b8d-30d7-49d8-ab0c-1261cb148595' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b435b8d-30d7-49d8-ab0c-1261cb148595' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mapping</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-672e1bb4-7c34-4dac-8dea-7ea6d8c42497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672e1bb4-7c34-4dac-8dea-7ea6d8c42497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e7beb0e-10a2-494f-ae26-b8d071031bae' class='xr-var-data-in' type='checkbox'><label for='data-1e7beb0e-10a2-494f-ae26-b8d071031bae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>polar_stereographic</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>-90.0</dd><dt><span>standard_parallel :</span></dt><dd>-71.0</dd><dt><span>straight_vertical_longitude_from_pole :</span></dt><dd>0.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e66f78c3-3e2b-476e-a7ce-ce9cfade6cce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e66f78c3-3e2b-476e-a7ce-ce9cfade6cce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-975d4fa9-36bb-48ac-b0b8-7aa684226472' class='xr-var-data-in' type='checkbox'><label for='data-975d4fa9-36bb-48ac-b0b8-7aa684226472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>ocean ice_free_land grounded_ice floating_ice lake_vostok</dd><dt><span>source :</span></dt><dd>Antarctic Digital Database (rock outcrop) and Jeremie Mouginot (pers. comm., grounding lines)</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>firn</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10fffb55-bf47-4483-89dc-27cb5eb1aa1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10fffb55-bf47-4483-89dc-27cb5eb1aa1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-256d050b-09a0-48ba-88f0-0f501f15700c' class='xr-var-data-in' type='checkbox'><label for='data-256d050b-09a0-48ba-88f0-0f501f15700c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>firn air content</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>FAC model from Ligtenberg et al., 2011, forced by RACMO2.3p2 (van Wessem et al., 2018)</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b19bad71-3445-4d35-b84a-7d301a21c32d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b19bad71-3445-4d35-b84a-7d301a21c32d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-582624d7-0c9e-4fbe-bbf3-24a120aba773' class='xr-var-data-in' type='checkbox'><label for='data-582624d7-0c9e-4fbe-bbf3-24a120aba773' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb17993c-b009-46d5-8d0a-ea556307c805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb17993c-b009-46d5-8d0a-ea556307c805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793680fa-596c-4a24-b59f-3c45fe792d3a' class='xr-var-data-in' type='checkbox'><label for='data-793680fa-596c-4a24-b59f-3c45fe792d3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96c358a1-52d5-4bae-b12b-c1bfa042ce79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96c358a1-52d5-4bae-b12b-c1bfa042ce79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a21a80ca-ee12-4c6b-9256-8cfd5216c4c2' class='xr-var-data-in' type='checkbox'><label for='data-a21a80ca-ee12-4c6b-9256-8cfd5216c4c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO v2 and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>errbed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d7a446f-fd83-46b0-b59e-da1d42590479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d7a446f-fd83-46b0-b59e-da1d42590479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d9d532b-fb3f-4dc8-a868-02d406b12022' class='xr-var-data-in' type='checkbox'><label for='data-3d9d532b-fb3f-4dc8-a868-02d406b12022' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography/ice thickness error</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4738ec7f-93cf-4fd7-85e3-37fc0d3cbc28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4738ec7f-93cf-4fd7-85e3-37fc0d3cbc28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69bff35b-1bdd-4ca3-92b6-472b0195141c' class='xr-var-data-in' type='checkbox'><label for='data-69bff35b-1bdd-4ca3-92b6-472b0195141c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data source</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1  2  3  4  5  6  7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA_IBCSOv2 mass_conservation interpolation hydrostatic streamline_diffusion gravity seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dataid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fc0e671-13e0-4afa-bcf2-2dbfda329038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fc0e671-13e0-4afa-bcf2-2dbfda329038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-135a4a6e-1e7c-420f-bf36-64eb22d370c3' class='xr-var-data-in' type='checkbox'><label for='data-135a4a6e-1e7c-420f-bf36-64eb22d370c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>data id</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>valid_range :</span></dt><dd>[ 1 10]</dd><dt><span>flag_values :</span></dt><dd>[ 1  2  7 10]</dd><dt><span>flag_meanings :</span></dt><dd>REMA Radar seismic multibeam</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6b73213-f515-4a4b-b849-d05446cd42b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6b73213-f515-4a4b-b849-d05446cd42b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-942725c7-472c-45fe-a1ef-5d9725ff1cb4' class='xr-var-data-in' type='checkbox'><label for='data-942725c7-472c-45fe-a1ef-5d9725ff1cb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>EIGEN-EC4 Geoid - WGS84 Ellipsoid difference</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>geoid :</span></dt><dd>eigen-6c4 (Forste et al 2014)</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=int16]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d828d17-2efc-4ca0-86da-48efdc5275bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d828d17-2efc-4ca0-86da-48efdc5275bc' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2501c814-59b9-4102-97f3-3fd2124c7391' class='xr-index-data-in' type='checkbox'/><label for='index-2501c814-59b9-4102-97f3-3fd2124c7391' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-3333000, -3332500, -3332000, -3331500, -3331000, -3330500,\n",
       "            -3330000, -3329500, -3329000, -3328500,\n",
       "            ...\n",
       "             3328500,  3329000,  3329500,  3330000,  3330500,  3331000,\n",
       "             3331500,  3332000,  3332500,  3333000],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=13333))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cac4fe11-a80d-416d-bf29-3166d1880c15' class='xr-index-data-in' type='checkbox'/><label for='index-cac4fe11-a80d-416d-bf29-3166d1880c15' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([ 3333000,  3332500,  3332000,  3331500,  3331000,  3330500,\n",
       "             3330000,  3329500,  3329000,  3328500,\n",
       "            ...\n",
       "            -3328500, -3329000, -3329500, -3330000, -3330500, -3331000,\n",
       "            -3331500, -3332000, -3332500, -3333000],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=13333))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c02e33e-bd36-4ca6-8d7b-627307af52c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-2c02e33e-bd36-4ca6-8d7b-627307af52c5' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>03-Jun-2022 (v3.4)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (x: 13333, y: 13333)\n",
       "Coordinates:\n",
       "  * x          (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n",
       "  * y          (y) int32 3333000 3332500 3332000 ... -3332000 -3332500 -3333000\n",
       "Data variables:\n",
       "    mapping    |S1 ...\n",
       "    mask       (y, x) int8 ...\n",
       "    firn       (y, x) float32 ...\n",
       "    surface    (y, x) float32 ...\n",
       "    thickness  (y, x) float32 ...\n",
       "    bed        (y, x) float32 ...\n",
       "    errbed     (y, x) float32 ...\n",
       "    source     (y, x) int8 ...\n",
       "    dataid     (y, x) int8 ...\n",
       "    geoid      (y, x) int16 ...\n",
       "Attributes: (12/17)\n",
       "    Conventions:                 CF-1.7\n",
       "    Title:                       BedMachine Antarctica\n",
       "    Author:                      Mathieu Morlighem\n",
       "    version:                     03-Jun-2022 (v3.4)\n",
       "    nx:                          13333.0\n",
       "    ny:                          13333.0\n",
       "    ...                          ...\n",
       "    ymax:                        3333000\n",
       "    spacing:                     500\n",
       "    no_data:                     -9999.0\n",
       "    license:                     No restrictions on access or use\n",
       "    Data_citation:               Morlighem M. et al., (2019), Deep glacial tr...\n",
       "    Notes:                       Data processed at the Department of Earth Sy..."
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Open each file, which are quadrants in polar stereographic coordinations around the Geographic South Pole\n",
    "bedmachine = xr.open_dataset(files[0])\n",
    "bedmachine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8b2add97-31cb-490c-9c8c-f00cd90c5ecd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (x: 13333, y: 13333)\n",
       "Coordinates:\n",
       "  * x          (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n",
       "  * y          (y) int32 3333000 3332500 3332000 ... -3332000 -3332500 -3333000\n",
       "Data variables:\n",
       "    surface    (y, x) float32 ...\n",
       "    thickness  (y, x) float32 ...\n",
       "    bed        (y, x) float32 ...\n",
       "Attributes: (12/17)\n",
       "    Conventions:                 CF-1.7\n",
       "    Title:                       BedMachine Antarctica\n",
       "    Author:                      Mathieu Morlighem\n",
       "    version:                     03-Jun-2022 (v3.4)\n",
       "    nx:                          13333.0\n",
       "    ny:                          13333.0\n",
       "    ...                          ...\n",
       "    ymax:                        3333000\n",
       "    spacing:                     500\n",
       "    no_data:                     -9999.0\n",
       "    license:                     No restrictions on access or use\n",
       "    Data_citation:               Morlighem M. et al., (2019), Deep glacial tr...\n",
       "    Notes:                       Data processed at the Department of Earth Sy...</pre><div class='xr-wrap' 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-e095d48f-13c8-41c2-a3e6-b6e415e2f783' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e095d48f-13c8-41c2-a3e6-b6e415e2f783' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 13333</li><li><span class='xr-has-index'>y</span>: 13333</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8637d42a-4cc5-4c36-ba2b-c5c83b2930cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8637d42a-4cc5-4c36-ba2b-c5c83b2930cf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>-3333000 -3332500 ... 3333000</div><input id='attrs-58e55a97-cfc4-4a08-b36f-40b8344e75f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58e55a97-cfc4-4a08-b36f-40b8344e75f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d55a031-3bd0-4869-a4d8-97dde844374d' class='xr-var-data-in' type='checkbox'><label for='data-5d55a031-3bd0-4869-a4d8-97dde844374d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([-3333000, -3332500, -3332000, ...,  3332000,  3332500,  3333000],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>3333000 3332500 ... -3333000</div><input id='attrs-6c407f3e-8d08-48ce-a8bc-6e2ecd4e17c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c407f3e-8d08-48ce-a8bc-6e2ecd4e17c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0835a4a-a514-4acc-ac63-73c86545cdce' class='xr-var-data-in' type='checkbox'><label for='data-f0835a4a-a514-4acc-ac63-73c86545cdce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Cartesian y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><pre>array([ 3333000,  3332500,  3332000, ..., -3332000, -3332500, -3333000],\n",
       "      dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a95d757-a378-48bd-b42e-87c51bd170f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a95d757-a378-48bd-b42e-87c51bd170f8' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-083e28fc-ebc9-4451-aec9-5932caf09e9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-083e28fc-ebc9-4451-aec9-5932caf09e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6fd428f-f60d-44c1-81b8-9bdc179886db' class='xr-var-data-in' type='checkbox'><label for='data-f6fd428f-f60d-44c1-81b8-9bdc179886db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice surface elevation</dd><dt><span>standard_name :</span></dt><dd>surface_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>REMA (Byrd Polar and Climate Research Center and the Polar Geospatial Center)</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>thickness</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0414594-8c15-4283-9524-3dae22b08d4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0414594-8c15-4283-9524-3dae22b08d4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c45b2b0-9ded-4fbc-a799-ea8db4df4d97' class='xr-var-data-in' type='checkbox'><label for='data-7c45b2b0-9ded-4fbc-a799-ea8db4df4d97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ice thickness</dd><dt><span>standard_name :</span></dt><dd>land_ice_thickness</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97f1c735-7b6a-4391-b863-9507d48ffb72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97f1c735-7b6a-4391-b863-9507d48ffb72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-602f17ef-0b70-43bb-a6bf-8cbd7494ef12' class='xr-var-data-in' type='checkbox'><label for='data-602f17ef-0b70-43bb-a6bf-8cbd7494ef12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bed topography</dd><dt><span>standard_name :</span></dt><dd>bedrock_altitude</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>grid_mapping :</span></dt><dd>mapping</dd><dt><span>source :</span></dt><dd>IBCSO v2 and Mathieu Morlighem</dd></dl></div><div class='xr-var-data'><pre>[177768889 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87b6239a-84bc-4736-ad63-78788ba22b02' class='xr-section-summary-in' type='checkbox'  ><label for='section-87b6239a-84bc-4736-ad63-78788ba22b02' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ba4faebe-7215-4574-8e53-5fab202f3100' class='xr-index-data-in' type='checkbox'/><label for='index-ba4faebe-7215-4574-8e53-5fab202f3100' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-3333000, -3332500, -3332000, -3331500, -3331000, -3330500,\n",
       "            -3330000, -3329500, -3329000, -3328500,\n",
       "            ...\n",
       "             3328500,  3329000,  3329500,  3330000,  3330500,  3331000,\n",
       "             3331500,  3332000,  3332500,  3333000],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=13333))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0de15b7c-0b49-4c06-82b4-1175820589dd' class='xr-index-data-in' type='checkbox'/><label for='index-0de15b7c-0b49-4c06-82b4-1175820589dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([ 3333000,  3332500,  3332000,  3331500,  3331000,  3330500,\n",
       "             3330000,  3329500,  3329000,  3328500,\n",
       "            ...\n",
       "            -3328500, -3329000, -3329500, -3330000, -3330500, -3331000,\n",
       "            -3331500, -3332000, -3332500, -3333000],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;, length=13333))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a406b2e0-d4bd-4fbb-9cf1-9ac3b726b613' class='xr-section-summary-in' type='checkbox'  ><label for='section-a406b2e0-d4bd-4fbb-9cf1-9ac3b726b613' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Title :</span></dt><dd>BedMachine Antarctica</dd><dt><span>Author :</span></dt><dd>Mathieu Morlighem</dd><dt><span>version :</span></dt><dd>03-Jun-2022 (v3.4)</dd><dt><span>nx :</span></dt><dd>13333.0</dd><dt><span>ny :</span></dt><dd>13333.0</dd><dt><span>Projection :</span></dt><dd>Polar Stereographic South (71S,0E)</dd><dt><span>proj4 :</span></dt><dd>+init=epsg:3031</dd><dt><span>sea_water_density (kg m-3) :</span></dt><dd>1027.0</dd><dt><span>ice_density (kg m-3) :</span></dt><dd>917.0</dd><dt><span>xmin :</span></dt><dd>-3333000</dd><dt><span>ymax :</span></dt><dd>3333000</dd><dt><span>spacing :</span></dt><dd>500</dd><dt><span>no_data :</span></dt><dd>-9999.0</dd><dt><span>license :</span></dt><dd>No restrictions on access or use</dd><dt><span>Data_citation :</span></dt><dd>Morlighem M. et al., (2019), Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet, Nature Geoscience (accepted)</dd><dt><span>Notes :</span></dt><dd>Data processed at the Department of Earth System Science, University of California, Irvine</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (x: 13333, y: 13333)\n",
       "Coordinates:\n",
       "  * x          (x) int32 -3333000 -3332500 -3332000 ... 3332000 3332500 3333000\n",
       "  * y          (y) int32 3333000 3332500 3332000 ... -3332000 -3332500 -3333000\n",
       "Data variables:\n",
       "    surface    (y, x) float32 ...\n",
       "    thickness  (y, x) float32 ...\n",
       "    bed        (y, x) float32 ...\n",
       "Attributes: (12/17)\n",
       "    Conventions:                 CF-1.7\n",
       "    Title:                       BedMachine Antarctica\n",
       "    Author:                      Mathieu Morlighem\n",
       "    version:                     03-Jun-2022 (v3.4)\n",
       "    nx:                          13333.0\n",
       "    ny:                          13333.0\n",
       "    ...                          ...\n",
       "    ymax:                        3333000\n",
       "    spacing:                     500\n",
       "    no_data:                     -9999.0\n",
       "    license:                     No restrictions on access or use\n",
       "    Data_citation:               Morlighem M. et al., (2019), Deep glacial tr...\n",
       "    Notes:                       Data processed at the Department of Earth Sy..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Specify the variables to keep\n",
    "variables_to_keep = ['x', 'y', 'surface', 'thickness', 'bed']\n",
    "\n",
    "variables_to_drop = [var for var in bedmachine.variables if var not in variables_to_keep]\n",
    "\n",
    "# Drop variables to reduce memory consumption\n",
    "bedmachine = bedmachine.drop_vars(variables_to_drop)\n",
    "bedmachine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f7f3cb38-5336-442d-b0ce-e81b04dd6a00",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize bed elevation \n",
    "fig, ax = plt.subplots(figsize=(5,5))\n",
    "m = ax.imshow(bedmachine['bed'],\n",
    "    extent=[bedmachine.x.min(), bedmachine.x.max(), bedmachine.y.min(), bedmachine.y.max()],\n",
    "    cmap='gist_earth')\n",
    "ax.set_xlabel('x [km]')\n",
    "ax.set_ylabel('y [km]')\n",
    "#TODO plotting along pixel values, but using axes limits plots nothing; remendy plotting issue\n",
    "ax.set_xlim(bedmachine.x.min(), bedmachine.x.max())\n",
    "ax.set_ylim(bedmachine.y.min(), bedmachine.y.max())\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes('right', size='5%', pad=0.2)\n",
    "cbar = fig.colorbar(m, cax=cax)\n",
    "cbar.set_label('bed elevation [m ASL]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c6213d64-dbe9-493f-821f-34f47754fc27",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Dataset' object has no attribute 'firn'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn [11], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Visualize BedMachine Firn Air Content (FAC)\u001b[39;00m\n\u001b[1;32m      2\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m,\u001b[38;5;241m10\u001b[39m))\n\u001b[0;32m----> 3\u001b[0m m \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mimshow(\u001b[43mbedmachine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfirn\u001b[49m, extent\u001b[38;5;241m=\u001b[39m[bedmachine\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mmin(), bedmachine\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mmax(), bedmachine\u001b[38;5;241m.\u001b[39my\u001b[38;5;241m.\u001b[39mmin(), bedmachine\u001b[38;5;241m.\u001b[39my\u001b[38;5;241m.\u001b[39mmax()])\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# Set axes limits\u001b[39;00m\n\u001b[1;32m      6\u001b[0m ax\u001b[38;5;241m.\u001b[39mset(xlim\u001b[38;5;241m=\u001b[39m(bedmachine\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mmin(), bedmachine\u001b[38;5;241m.\u001b[39mx\u001b[38;5;241m.\u001b[39mmax()), ylim\u001b[38;5;241m=\u001b[39m(bedmachine\u001b[38;5;241m.\u001b[39my\u001b[38;5;241m.\u001b[39mmin(), bedmachine\u001b[38;5;241m.\u001b[39my\u001b[38;5;241m.\u001b[39mmax()))\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/xarray/core/common.py:280\u001b[0m, in \u001b[0;36mAttrAccessMixin.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    278\u001b[0m         \u001b[38;5;28;01mwith\u001b[39;00m suppress(\u001b[38;5;167;01mKeyError\u001b[39;00m):\n\u001b[1;32m    279\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m source[name]\n\u001b[0;32m--> 280\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[1;32m    281\u001b[0m     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m object has no attribute \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    282\u001b[0m )\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'Dataset' object has no attribute 'firn'"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize BedMachine Firn Air Content (FAC)\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "m = ax.imshow(bedmachine.firn, extent=[bedmachine.x.min(), bedmachine.x.max(), bedmachine.y.min(), bedmachine.y.max()])\n",
    "\n",
    "# Set axes limits\n",
    "ax.set(xlim=(bedmachine.x.min(), bedmachine.x.max()), ylim=(bedmachine.y.min(), bedmachine.y.max()))\n",
    "\n",
    "# Change polar stereographic m to km for cleaner-looking axes labels\n",
    "km_scale = 1e3\n",
    "ticks_x = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/km_scale))\n",
    "ax.xaxis.set_major_formatter(ticks_x)\n",
    "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/km_scale))\n",
    "ax.yaxis.set_major_formatter(ticks_y)\n",
    "\n",
    "# Add colorbar\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes('right', size='5%', pad=0.2)\n",
    "cbar = fig.colorbar(m, cax=cax)\n",
    "cbar.set_label('firn air content (FAC) [m]')\n",
    "\n",
    "# Label axes and title\n",
    "ax.set_xlabel('x [km]', size=15)\n",
    "ax.set_ylabel('y [km]', size=15)\n",
    "ax.set_title('BedMachine FAC model from Ligtenberg et al., 2011\\nforced by RACMO2.3p2 (van Wessem et al., 2018)', pad=10, fontsize=14)\n",
    "\n",
    "# Save and show fig\n",
    "# plt.savefig('/home/jovyan/0_output/Antarctica/FAC_model_BedMachine')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  },
  "vscode": {
   "interpreter": {
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 },
 "nbformat": 4,
 "nbformat_minor": 5
}