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    "# Remapping a dataset to HEALPix\n",
    "\n",
    "In this tutorial we will remap a dataset from the native ICON grid to HEALPix.\n",
    "The dataset used as an example is from the EERIE project and is available online.\n",
    "It consists of five 2d variables and covers 23 years with a 6 hour time step."
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 5TB\n",
       "Dimensions:             (ncells: 5242880, height: 1, height_2: 1, time: 46752)\n",
       "Coordinates:\n",
       "    cell_sea_land_mask  (ncells) int32 21MB dask.array&lt;chunksize=(5242880,), meta=np.ndarray&gt;\n",
       "  * height              (height) float64 8B 10.0\n",
       "  * height_2            (height_2) float64 8B 2.0\n",
       "    lat                 (ncells) float64 42MB dask.array&lt;chunksize=(5242880,), meta=np.ndarray&gt;\n",
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       "  * time                (time) datetime64[ns] 374kB 1991-01-01T05:59:00 ... 2...\n",
       "Dimensions without coordinates: ncells\n",
       "Data variables:\n",
       "    hus2m               (time, height_2, ncells) float32 980GB dask.array&lt;chunksize=(1, 1, 5242880), meta=np.ndarray&gt;\n",
       "    psl                 (time, ncells) float32 980GB dask.array&lt;chunksize=(1, 5242880), meta=np.ndarray&gt;\n",
       "    ts                  (time, ncells) float32 980GB dask.array&lt;chunksize=(1, 5242880), meta=np.ndarray&gt;\n",
       "    uas                 (time, height, ncells) float32 980GB dask.array&lt;chunksize=(1, 1, 5242880), meta=np.ndarray&gt;\n",
       "    vas                 (time, height, ncells) float32 980GB dask.array&lt;chunksize=(1, 1, 5242880), meta=np.ndarray&gt;\n",
       "Attributes: (12/30)\n",
       "    Conventions:           CF-1.7 CMIP-6.2\n",
       "    activity_id:           EERIE\n",
       "    data_specs_version:    01.00.32\n",
       "    forcing_index:         1\n",
       "    initialization_index:  1\n",
       "    license:               EERIE model data produced by MPI-M is licensed und...\n",
       "    ...                    ...\n",
       "    parent_experiment_id:  eerie-spinup-1950\n",
       "    parent_activity_id:    EERIE\n",
       "    sub_experiment_id:     none\n",
       "    experiment:            coupled control with fixed 1950&#x27;s forcing (HighRes...\n",
       "    source:                ICON-ESM-ER (2023): \\naerosol: none, prescribed MA...\n",
       "    institution:           Max Planck Institute for Meteorology, Hamburg 2014...</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-ce8b9bcd-f2dd-4698-b954-fd2d0db066dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ce8b9bcd-f2dd-4698-b954-fd2d0db066dc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ncells</span>: 5242880</li><li><span class='xr-has-index'>height</span>: 1</li><li><span class='xr-has-index'>height_2</span>: 1</li><li><span class='xr-has-index'>time</span>: 46752</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a02db485-74de-4cfd-93f2-abb8d62088ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a02db485-74de-4cfd-93f2-abb8d62088ef' class='xr-section-summary' >Coordinates: <span>(6)</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>cell_sea_land_mask</span></div><div class='xr-var-dims'>(ncells)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5242880,), meta=np.ndarray&gt;</div><input id='attrs-6be448d2-b712-44c6-b19e-732e36bad9f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6be448d2-b712-44c6-b19e-732e36bad9f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23e95174-8e82-419f-82a6-653d5e76c12d' class='xr-var-data-in' type='checkbox'><label for='data-23e95174-8e82-419f-82a6-653d5e76c12d' title='Show/Hide data repr'><svg 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_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>sea (-2 inner, -1 boundary) land (2 inner, 1 boundary) mask for the cell</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>2,1,-1,-</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 20.00 MiB </td>\n",
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       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5242880</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height</span></div><div class='xr-var-dims'>(height)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-06f6fca2-7964-441f-b85e-b52397ed3795' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06f6fca2-7964-441f-b85e-b52397ed3795' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56489179-0a6a-4ce5-b4ad-2baaf413da2f' class='xr-var-data-in' type='checkbox'><label for='data-56489179-0a6a-4ce5-b4ad-2baaf413da2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([10.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height_2</span></div><div class='xr-var-dims'>(height_2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-562a682b-5d0a-4cce-88f4-b7991c7b80cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-562a682b-5d0a-4cce-88f4-b7991c7b80cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ad65ce6-63bc-4b37-94d1-639b49e0a4ed' class='xr-var-data-in' type='checkbox'><label for='data-3ad65ce6-63bc-4b37-94d1-639b49e0a4ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(ncells)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5242880,), meta=np.ndarray&gt;</div><input id='attrs-168cf733-1f9e-43dc-bf07-6214cf13f926' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-168cf733-1f9e-43dc-bf07-6214cf13f926' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-499ae7d3-77c4-4a4b-b3fd-0d35f06f6d1e' class='xr-var-data-in' type='checkbox'><label for='data-499ae7d3-77c4-4a4b-b3fd-0d35f06f6d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>clat_vertices</dd><dt><span>long_name :</span></dt><dd>center latitude</dd><dt><span>standard_name :</span></dt><dd>grid_latitude</dd><dt><span>units :</span></dt><dd>radian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 40.00 MiB </td>\n",
       "                        <td> 40.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5242880,) </td>\n",
       "                        <td> (5242880,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(ncells)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5242880,), meta=np.ndarray&gt;</div><input id='attrs-ff69bfa1-39b0-4ef9-b0fa-fc19aa582e4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff69bfa1-39b0-4ef9-b0fa-fc19aa582e4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff0dab90-a4bd-4b14-9828-f3357e7d8482' class='xr-var-data-in' type='checkbox'><label for='data-ff0dab90-a4bd-4b14-9828-f3357e7d8482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>clon_vertices</dd><dt><span>long_name :</span></dt><dd>center longitude</dd><dt><span>standard_name :</span></dt><dd>grid_longitude</dd><dt><span>units :</span></dt><dd>radian</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 40.00 MiB </td>\n",
       "                        <td> 40.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5242880,) </td>\n",
       "                        <td> (5242880,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01T05:59:00 ... 2022-12-...</div><input id='attrs-7972f822-d4da-4608-95f7-348edfd82d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7972f822-d4da-4608-95f7-348edfd82d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070bd92f-d19c-4bc4-98b7-30cd9dfcd13a' class='xr-var-data-in' type='checkbox'><label for='data-070bd92f-d19c-4bc4-98b7-30cd9dfcd13a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T05:59:00.000000000&#x27;, &#x27;1991-01-01T11:59:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T17:59:00.000000000&#x27;, ..., &#x27;2022-12-31T11:59:00.000000000&#x27;,\n",
       "       &#x27;2022-12-31T17:59:00.000000000&#x27;, &#x27;2022-12-31T23:59:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-579ec975-15ba-4cea-81b5-c946f86b7e0f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-579ec975-15ba-4cea-81b5-c946f86b7e0f' class='xr-section-summary' >Data variables: <span>(5)</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>hus2m</span></div><div class='xr-var-dims'>(time, height_2, ncells)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 5242880), meta=np.ndarray&gt;</div><input id='attrs-16a35e3f-3408-4348-bac1-a9389fd90ed0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16a35e3f-3408-4348-bac1-a9389fd90ed0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecb44a6f-00da-4b30-afec-da543b9f8a9f' class='xr-var-data-in' type='checkbox'><label for='data-ecb44a6f-00da-4b30-afec-da543b9f8a9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>specific humidity in 2m</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>param :</span></dt><dd>6.0.0</dd><dt><span>standard_name :</span></dt><dd>qv2m</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 913.12 GiB </td>\n",
       "                        <td> 20.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (46752, 1, 5242880) </td>\n",
       "                        <td> (1, 1, 5242880) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 46752 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>psl</span></div><div class='xr-var-dims'>(time, ncells)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5242880), meta=np.ndarray&gt;</div><input id='attrs-3aca3852-627b-4f92-8e1f-eb8643de0d3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aca3852-627b-4f92-8e1f-eb8643de0d3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bde5cdd-0afd-4b22-ae04-cf6d4db01556' class='xr-var-data-in' type='checkbox'><label for='data-9bde5cdd-0afd-4b22-ae04-cf6d4db01556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>param :</span></dt><dd>1.3.0</dd><dt><span>standard_name :</span></dt><dd>mean sea level pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 913.12 GiB </td>\n",
       "                        <td> 20.00 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1, 5242880) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 46752 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, ncells)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 5242880), meta=np.ndarray&gt;</div><input id='attrs-feb10211-9273-4565-96f6-c58324084fa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-feb10211-9273-4565-96f6-c58324084fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f915e924-32e7-48e5-b2ae-63037ae9b2fd' class='xr-var-data-in' type='checkbox'><label for='data-f915e924-32e7-48e5-b2ae-63037ae9b2fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>surface temperature</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>param :</span></dt><dd>0.0.0</dd><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 913.12 GiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e17e8fe-3b5f-4f10-ae75-ef5fa88421cb' class='xr-section-summary-in' type='checkbox'  ><label for='section-9e17e8fe-3b5f-4f10-ae75-ef5fa88421cb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>height</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a02221ef-038a-4243-b55e-fcdc0d4b202e' class='xr-index-data-in' type='checkbox'/><label for='index-a02221ef-038a-4243-b55e-fcdc0d4b202e' 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(Index([10.0], dtype=&#x27;float64&#x27;, name=&#x27;height&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>height_2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7c29feef-15a3-41a7-b042-0e84472c11aa' class='xr-index-data-in' type='checkbox'/><label for='index-7c29feef-15a3-41a7-b042-0e84472c11aa' 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(Index([2.0], dtype=&#x27;float64&#x27;, name=&#x27;height_2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-583db1e5-855a-4c2e-b139-7310be8b297e' class='xr-index-data-in' type='checkbox'/><label for='index-583db1e5-855a-4c2e-b139-7310be8b297e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1991-01-01 05:59:00&#x27;, &#x27;1991-01-01 11:59:00&#x27;,\n",
       "               &#x27;1991-01-01 17:59:00&#x27;, &#x27;1991-01-01 23:59:00&#x27;,\n",
       "               &#x27;1991-01-02 05:59:00&#x27;, &#x27;1991-01-02 11:59:00&#x27;,\n",
       "               &#x27;1991-01-02 17:59:00&#x27;, &#x27;1991-01-02 23:59:00&#x27;,\n",
       "               &#x27;1991-01-03 05:59:00&#x27;, &#x27;1991-01-03 11:59:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-29 17:59:00&#x27;, &#x27;2022-12-29 23:59:00&#x27;,\n",
       "               &#x27;2022-12-30 05:59:00&#x27;, &#x27;2022-12-30 11:59:00&#x27;,\n",
       "               &#x27;2022-12-30 17:59:00&#x27;, &#x27;2022-12-30 23:59:00&#x27;,\n",
       "               &#x27;2022-12-31 05:59:00&#x27;, &#x27;2022-12-31 11:59:00&#x27;,\n",
       "               &#x27;2022-12-31 17:59:00&#x27;, &#x27;2022-12-31 23:59:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=46752, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53728cf0-057d-43a0-a8fd-0ecc69ca8f95' class='xr-section-summary-in' type='checkbox'  ><label for='section-53728cf0-057d-43a0-a8fd-0ecc69ca8f95' class='xr-section-summary' >Attributes: <span>(30)</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 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>EERIE</dd><dt><span>data_specs_version :</span></dt><dd>01.00.32</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>license :</span></dt><dd>EERIE model data produced by MPI-M is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law. </dd><dt><span>mip_era :</span></dt><dd>EERIE</dd><dt><span>project_id :</span></dt><dd>EERIE</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>creation_date :</span></dt><dd>2024-11-18T12:40:44</dd><dt><span>institution_id :</span></dt><dd>MPI-M</dd><dt><span>source_id :</span></dt><dd>icon-esm-er</dd><dt><span>experiment_id :</span></dt><dd>eerie-control-1950</dd><dt><span>contact :</span></dt><dd>juergen.kroeger@mpimet.mpg.de</dd><dt><span>references :</span></dt><dd>Hohenegger et al., ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales. Geosci. Model Dev., 16, 779–811, 2023, https://doi.org/10.5194/gmd-16-779-2023</dd><dt><span>nominal_resolution :</span></dt><dd>10 km</dd><dt><span>version_id :</span></dt><dd>v20240618</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>grid :</span></dt><dd>native</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>parent_experiment_id :</span></dt><dd>eerie-spinup-1950</dd><dt><span>parent_activity_id :</span></dt><dd>EERIE</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>experiment :</span></dt><dd>coupled control with fixed 1950&#x27;s forcing (HighResMIP equivalent of pre-industrial control)</dd><dt><span>source :</span></dt><dd>ICON-ESM-ER (2023): \n",
       "aerosol: none, prescribed MACv2-SP\n",
       "atmos: ICON-A (icosahedral/triangles; 10 km; 90 levels; top level 80 km)\n",
       "atmosChem: none\n",
       "land: JSBACH4.20\n",
       "landIce: none/prescribed\n",
       "ocean: ICON-O (icosahedral/triangles; 5 km; 72 levels; top grid cell 0-2 m)\n",
       "ocnBgchem: none\n",
       "seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model)</dd><dt><span>institution :</span></dt><dd>Max Planck Institute for Meteorology, Hamburg 20146, Germany</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 5TB\n",
       "Dimensions:             (ncells: 5242880, height: 1, height_2: 1, time: 46752)\n",
       "Coordinates:\n",
       "    cell_sea_land_mask  (ncells) int32 21MB dask.array<chunksize=(5242880,), meta=np.ndarray>\n",
       "  * height              (height) float64 8B 10.0\n",
       "  * height_2            (height_2) float64 8B 2.0\n",
       "    lat                 (ncells) float64 42MB dask.array<chunksize=(5242880,), meta=np.ndarray>\n",
       "    lon                 (ncells) float64 42MB dask.array<chunksize=(5242880,), meta=np.ndarray>\n",
       "  * time                (time) datetime64[ns] 374kB 1991-01-01T05:59:00 ... 2...\n",
       "Dimensions without coordinates: ncells\n",
       "Data variables:\n",
       "    hus2m               (time, height_2, ncells) float32 980GB dask.array<chunksize=(1, 1, 5242880), meta=np.ndarray>\n",
       "    psl                 (time, ncells) float32 980GB dask.array<chunksize=(1, 5242880), meta=np.ndarray>\n",
       "    ts                  (time, ncells) float32 980GB dask.array<chunksize=(1, 5242880), meta=np.ndarray>\n",
       "    uas                 (time, height, ncells) float32 980GB dask.array<chunksize=(1, 1, 5242880), meta=np.ndarray>\n",
       "    vas                 (time, height, ncells) float32 980GB dask.array<chunksize=(1, 1, 5242880), meta=np.ndarray>\n",
       "Attributes: (12/30)\n",
       "    Conventions:           CF-1.7 CMIP-6.2\n",
       "    activity_id:           EERIE\n",
       "    data_specs_version:    01.00.32\n",
       "    forcing_index:         1\n",
       "    initialization_index:  1\n",
       "    license:               EERIE model data produced by MPI-M is licensed und...\n",
       "    ...                    ...\n",
       "    parent_experiment_id:  eerie-spinup-1950\n",
       "    parent_activity_id:    EERIE\n",
       "    sub_experiment_id:     none\n",
       "    experiment:            coupled control with fixed 1950's forcing (HighRes...\n",
       "    source:                ICON-ESM-ER (2023): \\naerosol: none, prescribed MA...\n",
       "    institution:           Max Planck Institute for Meteorology, Hamburg 2014..."
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import healpix as hp\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "import easygems.healpix as egh\n",
    "import easygems.remap as egr\n",
    "\n",
    "\n",
    "ds = xr.open_dataset(\n",
    "    \"https://eerie.cloud.dkrz.de/datasets/icon-esm-er.eerie-control-1950.v20240618.atmos.native.2d_6h_inst/kerchunk\",\n",
    "    engine=\"zarr\",\n",
    "    chunks={},\n",
    ")\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eecd5448",
   "metadata": {},
   "source": [
    "The first step is to create a HEALPix grid that is close to the resolution of our source grid.\n",
    "Here we will choose an order of 9 (also known as \"zoom\") and \"nest\" ordering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "290dad41",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:26:29.335392Z",
     "iopub.status.busy": "2024-12-16T08:26:29.335013Z",
     "iopub.status.idle": "2024-12-16T08:26:29.536759Z",
     "shell.execute_reply": "2024-12-16T08:26:29.536343Z",
     "shell.execute_reply.started": "2024-12-16T08:26:29.335376Z"
    }
   },
   "outputs": [],
   "source": [
    "order = zoom = 9\n",
    "nside = hp.order2nside(order)\n",
    "npix = hp.nside2npix(nside)\n",
    "\n",
    "hp_lon, hp_lat = hp.pix2ang(nside=nside, ipix=np.arange(npix), lonlat=True, nest=True)\n",
    "hp_lon = (hp_lon + 180) % 360 - 180  # [-180, 180)\n",
    "hp_lon += 360 / (4 * nside) / 4  # shift quarter-width"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7fb57ae",
   "metadata": {},
   "source": [
    "Next, we can use our defined source and target grids to compute interpolation weights.\n",
    "The `easygems` package provides a function to compute these weights using the [Delaunay triangulation](https://docs.scipy.org/doc/scipy/tutorial/spatial.html#delaunay-triangulations) method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2762fdf9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:26:29.537376Z",
     "iopub.status.busy": "2024-12-16T08:26:29.537229Z",
     "iopub.status.idle": "2024-12-16T08:29:22.393432Z",
     "shell.execute_reply": "2024-12-16T08:29:22.392932Z",
     "shell.execute_reply.started": "2024-12-16T08:26:29.537361Z"
    }
   },
   "outputs": [],
   "source": [
    "weights = egr.compute_weights_delaunay((ds.lon, ds.lat), (hp_lon, hp_lat))\n",
    "\n",
    "# You can also save the calculated weights for future use\n",
    "# weights.to_netcdf(\"healpix_weights.nc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60fd0b0c",
   "metadata": {},
   "source": [
    "These weights can be applied to single fields directly:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3e9a8e07",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:29:22.394239Z",
     "iopub.status.busy": "2024-12-16T08:29:22.394023Z",
     "iopub.status.idle": "2024-12-16T08:30:44.959586Z",
     "shell.execute_reply": "2024-12-16T08:30:44.959153Z",
     "shell.execute_reply.started": "2024-12-16T08:29:22.394223Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ffd4919b4a0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "egh.healpix_show(egr.apply_weights(ds.ts.isel(time=0), **weights))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8510d0a7",
   "metadata": {},
   "source": [
    "Alternatively, we can use xarray's [apply_ufunc()](https://docs.xarray.dev/en/stable/generated/xarray.apply_ufunc.html) function to lift the function onto a full dataset.\n",
    "This requires a coupled of additional information from the user,\n",
    "e.g. the input dimension along which the function should be applied, and the resulting output dimensions name and size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f2b2ce41",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:30:44.960323Z",
     "iopub.status.busy": "2024-12-16T08:30:44.960117Z",
     "iopub.status.idle": "2024-12-16T08:30:45.691343Z",
     "shell.execute_reply": "2024-12-16T08:30:45.690930Z",
     "shell.execute_reply.started": "2024-12-16T08:30:44.960307Z"
    }
   },
   "outputs": [
    {
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
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       "\n",
       ".xr-section-summary,\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "\n",
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       "\n",
       ".xr-array-data,\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "\n",
       ".xr-dim-list {\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
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       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
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       "\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",
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       "\n",
       ".xr-var-data > table {\n",
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       "\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",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\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",
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       "\n",
       ".xr-attrs dd {\n",
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       "  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",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3TB\n",
       "Dimensions:   (time: 46752, height_2: 1, cell: 3145728, height: 1)\n",
       "Coordinates:\n",
       "  * height    (height) float64 8B 10.0\n",
       "  * height_2  (height_2) float64 8B 2.0\n",
       "  * time      (time) datetime64[ns] 374kB 1991-01-01T05:59:00 ... 2022-12-31T...\n",
       "Dimensions without coordinates: cell\n",
       "Data variables:\n",
       "    hus2m     (time, height_2, cell) float32 588GB dask.array&lt;chunksize=(1, 1, 3145728), meta=np.ndarray&gt;\n",
       "    psl       (time, cell) float32 588GB dask.array&lt;chunksize=(1, 3145728), meta=np.ndarray&gt;\n",
       "    ts        (time, cell) float32 588GB dask.array&lt;chunksize=(1, 3145728), meta=np.ndarray&gt;\n",
       "    uas       (time, height, cell) float32 588GB dask.array&lt;chunksize=(1, 1, 3145728), meta=np.ndarray&gt;\n",
       "    vas       (time, height, cell) float32 588GB dask.array&lt;chunksize=(1, 1, 3145728), meta=np.ndarray&gt;\n",
       "Attributes: (12/30)\n",
       "    Conventions:           CF-1.7 CMIP-6.2\n",
       "    activity_id:           EERIE\n",
       "    data_specs_version:    01.00.32\n",
       "    forcing_index:         1\n",
       "    initialization_index:  1\n",
       "    license:               EERIE model data produced by MPI-M is licensed und...\n",
       "    ...                    ...\n",
       "    parent_experiment_id:  eerie-spinup-1950\n",
       "    parent_activity_id:    EERIE\n",
       "    sub_experiment_id:     none\n",
       "    experiment:            coupled control with fixed 1950&#x27;s forcing (HighRes...\n",
       "    source:                ICON-ESM-ER (2023): \\naerosol: none, prescribed MA...\n",
       "    institution:           Max Planck Institute for Meteorology, Hamburg 2014...</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-c550a3d8-840c-4abc-8c5c-59a15c416c03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c550a3d8-840c-4abc-8c5c-59a15c416c03' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 46752</li><li><span class='xr-has-index'>height_2</span>: 1</li><li><span>cell</span>: 3145728</li><li><span class='xr-has-index'>height</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5c181871-4c70-4885-bc75-af4a76069bd7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c181871-4c70-4885-bc75-af4a76069bd7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height</span></div><div class='xr-var-dims'>(height)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-ac37fdf4-b678-4c50-9f47-3ed6fbfd971e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac37fdf4-b678-4c50-9f47-3ed6fbfd971e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab3ce5ca-be7e-425c-bfe9-2d85990ee232' class='xr-var-data-in' type='checkbox'><label for='data-ab3ce5ca-be7e-425c-bfe9-2d85990ee232' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([10.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height_2</span></div><div class='xr-var-dims'>(height_2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-951d6537-407e-4e8c-9f2f-3f8ee287e799' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-951d6537-407e-4e8c-9f2f-3f8ee287e799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3fad0b3-be9d-47c8-86cd-dddcd4a50a17' class='xr-var-data-in' type='checkbox'><label for='data-e3fad0b3-be9d-47c8-86cd-dddcd4a50a17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1991-01-01T05:59:00 ... 2022-12-...</div><input id='attrs-5dc90e0e-c303-484f-834c-d4c59af8dbe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dc90e0e-c303-484f-834c-d4c59af8dbe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5434b45-ee17-4216-a6d5-d1674f0aae4e' class='xr-var-data-in' type='checkbox'><label for='data-f5434b45-ee17-4216-a6d5-d1674f0aae4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1991-01-01T05:59:00.000000000&#x27;, &#x27;1991-01-01T11:59:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T17:59:00.000000000&#x27;, ..., &#x27;2022-12-31T11:59:00.000000000&#x27;,\n",
       "       &#x27;2022-12-31T17:59:00.000000000&#x27;, &#x27;2022-12-31T23:59:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1889ca85-de67-4688-a393-eaaaa8467d6e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1889ca85-de67-4688-a393-eaaaa8467d6e' class='xr-section-summary' >Data variables: <span>(5)</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>hus2m</span></div><div class='xr-var-dims'>(time, height_2, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3145728), meta=np.ndarray&gt;</div><input id='attrs-0a2b7d5b-fc14-4f00-81fa-1e06afe077c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a2b7d5b-fc14-4f00-81fa-1e06afe077c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5222ba8c-5303-4c47-b90c-408e68f10ec9' class='xr-var-data-in' type='checkbox'><label for='data-5222ba8c-5303-4c47-b90c-408e68f10ec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>specific humidity in 2m</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>param :</span></dt><dd>6.0.0</dd><dt><span>standard_name :</span></dt><dd>qv2m</dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 547.88 GiB </td>\n",
       "                        <td> 12.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (46752, 1, 3145728) </td>\n",
       "                        <td> (1, 1, 3145728) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 46752 chunks in 5 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vas</span></div><div class='xr-var-dims'>(time, height, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 3145728), meta=np.ndarray&gt;</div><input id='attrs-adabb5c3-26e4-4840-b7c2-291c7ee338f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adabb5c3-26e4-4840-b7c2-291c7ee338f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e745eab-a194-4433-acf8-f523ba7447a1' class='xr-var-data-in' type='checkbox'><label for='data-7e745eab-a194-4433-acf8-f523ba7447a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>long_name :</span></dt><dd>meridional wind in 10m</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>param :</span></dt><dd>3.2.0</dd><dt><span>standard_name :</span></dt><dd>vas</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 547.88 GiB </td>\n",
       "                        <td> 12.00 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (46752, 1, 3145728) </td>\n",
       "                        <td> (1, 1, 3145728) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 46752 chunks in 5 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1502c82e-b507-4c59-9442-c7115fe7eb18' class='xr-section-summary-in' type='checkbox'  ><label for='section-1502c82e-b507-4c59-9442-c7115fe7eb18' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>height</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-70f715ee-c270-4755-a727-fcd607be7306' class='xr-index-data-in' type='checkbox'/><label for='index-70f715ee-c270-4755-a727-fcd607be7306' 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(Index([10.0], dtype=&#x27;float64&#x27;, name=&#x27;height&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>height_2</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-77cf8563-4bf4-406a-bb96-fd6bbc73a96e' class='xr-index-data-in' type='checkbox'/><label for='index-77cf8563-4bf4-406a-bb96-fd6bbc73a96e' 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(Index([2.0], dtype=&#x27;float64&#x27;, name=&#x27;height_2&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7bfda32b-a355-47ab-bee3-5a7a1a961298' class='xr-index-data-in' type='checkbox'/><label for='index-7bfda32b-a355-47ab-bee3-5a7a1a961298' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1991-01-01 05:59:00&#x27;, &#x27;1991-01-01 11:59:00&#x27;,\n",
       "               &#x27;1991-01-01 17:59:00&#x27;, &#x27;1991-01-01 23:59:00&#x27;,\n",
       "               &#x27;1991-01-02 05:59:00&#x27;, &#x27;1991-01-02 11:59:00&#x27;,\n",
       "               &#x27;1991-01-02 17:59:00&#x27;, &#x27;1991-01-02 23:59:00&#x27;,\n",
       "               &#x27;1991-01-03 05:59:00&#x27;, &#x27;1991-01-03 11:59:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-29 17:59:00&#x27;, &#x27;2022-12-29 23:59:00&#x27;,\n",
       "               &#x27;2022-12-30 05:59:00&#x27;, &#x27;2022-12-30 11:59:00&#x27;,\n",
       "               &#x27;2022-12-30 17:59:00&#x27;, &#x27;2022-12-30 23:59:00&#x27;,\n",
       "               &#x27;2022-12-31 05:59:00&#x27;, &#x27;2022-12-31 11:59:00&#x27;,\n",
       "               &#x27;2022-12-31 17:59:00&#x27;, &#x27;2022-12-31 23:59:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=46752, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20b27c50-61dc-4736-b780-be5120847d57' class='xr-section-summary-in' type='checkbox'  ><label for='section-20b27c50-61dc-4736-b780-be5120847d57' class='xr-section-summary' >Attributes: <span>(30)</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 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>EERIE</dd><dt><span>data_specs_version :</span></dt><dd>01.00.32</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>license :</span></dt><dd>EERIE model data produced by MPI-M is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law. </dd><dt><span>mip_era :</span></dt><dd>EERIE</dd><dt><span>project_id :</span></dt><dd>EERIE</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>creation_date :</span></dt><dd>2024-11-18T12:40:44</dd><dt><span>institution_id :</span></dt><dd>MPI-M</dd><dt><span>source_id :</span></dt><dd>icon-esm-er</dd><dt><span>experiment_id :</span></dt><dd>eerie-control-1950</dd><dt><span>contact :</span></dt><dd>juergen.kroeger@mpimet.mpg.de</dd><dt><span>references :</span></dt><dd>Hohenegger et al., ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales. Geosci. Model Dev., 16, 779–811, 2023, https://doi.org/10.5194/gmd-16-779-2023</dd><dt><span>nominal_resolution :</span></dt><dd>10 km</dd><dt><span>version_id :</span></dt><dd>v20240618</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>grid :</span></dt><dd>native</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>parent_experiment_id :</span></dt><dd>eerie-spinup-1950</dd><dt><span>parent_activity_id :</span></dt><dd>EERIE</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>experiment :</span></dt><dd>coupled control with fixed 1950&#x27;s forcing (HighResMIP equivalent of pre-industrial control)</dd><dt><span>source :</span></dt><dd>ICON-ESM-ER (2023): \n",
       "aerosol: none, prescribed MACv2-SP\n",
       "atmos: ICON-A (icosahedral/triangles; 10 km; 90 levels; top level 80 km)\n",
       "atmosChem: none\n",
       "land: JSBACH4.20\n",
       "landIce: none/prescribed\n",
       "ocean: ICON-O (icosahedral/triangles; 5 km; 72 levels; top grid cell 0-2 m)\n",
       "ocnBgchem: none\n",
       "seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model)</dd><dt><span>institution :</span></dt><dd>Max Planck Institute for Meteorology, Hamburg 20146, Germany</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 3TB\n",
       "Dimensions:   (time: 46752, height_2: 1, cell: 3145728, height: 1)\n",
       "Coordinates:\n",
       "  * height    (height) float64 8B 10.0\n",
       "  * height_2  (height_2) float64 8B 2.0\n",
       "  * time      (time) datetime64[ns] 374kB 1991-01-01T05:59:00 ... 2022-12-31T...\n",
       "Dimensions without coordinates: cell\n",
       "Data variables:\n",
       "    hus2m     (time, height_2, cell) float32 588GB dask.array<chunksize=(1, 1, 3145728), meta=np.ndarray>\n",
       "    psl       (time, cell) float32 588GB dask.array<chunksize=(1, 3145728), meta=np.ndarray>\n",
       "    ts        (time, cell) float32 588GB dask.array<chunksize=(1, 3145728), meta=np.ndarray>\n",
       "    uas       (time, height, cell) float32 588GB dask.array<chunksize=(1, 1, 3145728), meta=np.ndarray>\n",
       "    vas       (time, height, cell) float32 588GB dask.array<chunksize=(1, 1, 3145728), meta=np.ndarray>\n",
       "Attributes: (12/30)\n",
       "    Conventions:           CF-1.7 CMIP-6.2\n",
       "    activity_id:           EERIE\n",
       "    data_specs_version:    01.00.32\n",
       "    forcing_index:         1\n",
       "    initialization_index:  1\n",
       "    license:               EERIE model data produced by MPI-M is licensed und...\n",
       "    ...                    ...\n",
       "    parent_experiment_id:  eerie-spinup-1950\n",
       "    parent_activity_id:    EERIE\n",
       "    sub_experiment_id:     none\n",
       "    experiment:            coupled control with fixed 1950's forcing (HighRes...\n",
       "    source:                ICON-ESM-ER (2023): \\naerosol: none, prescribed MA...\n",
       "    institution:           Max Planck Institute for Meteorology, Hamburg 2014..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_remap = xr.apply_ufunc(\n",
    "    egr.apply_weights,\n",
    "    ds,\n",
    "    kwargs=weights,\n",
    "    keep_attrs=True,\n",
    "    input_core_dims=[[\"ncells\"]],\n",
    "    output_core_dims=[[\"cell\"]],\n",
    "    output_dtypes=[\"f4\"],\n",
    "    vectorize=True,\n",
    "    dask=\"parallelized\",\n",
    "    dask_gufunc_kwargs={\n",
    "        \"output_sizes\": {\"cell\": npix},\n",
    "    },\n",
    ")\n",
    "ds_remap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40f9ed0a",
   "metadata": {},
   "source": [
    "The resulting dataset can then be used as usual and the remapping is performed on demand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9609e789",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:30:45.692659Z",
     "iopub.status.busy": "2024-12-16T08:30:45.692373Z",
     "iopub.status.idle": "2024-12-16T08:30:46.531695Z",
     "shell.execute_reply": "2024-12-16T08:30:46.531298Z",
     "shell.execute_reply.started": "2024-12-16T08:30:45.692645Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ffd49527d10>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "egh.healpix_show(ds_remap.ts.sel(time=\"1991-01-01\").mean(\"time\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a67937db-e3ce-4a9e-84ed-baa858d941eb",
   "metadata": {},
   "source": [
    "## Storing the coordinate reference system\n",
    "\n",
    "It is good practice to store map projection information in the Coordinate Reference Systems (CRS).\n",
    "By making the `crs` coordinate non-dimensional it will \"stick\" to the dataset even if individual variables are subselected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1934ad24-611a-498b-b32f-31637b6c3fe9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-12-16T08:30:46.532302Z",
     "iopub.status.busy": "2024-12-16T08:30:46.532150Z",
     "iopub.status.idle": "2024-12-16T08:30:46.570619Z",
     "shell.execute_reply": "2024-12-16T08:30:46.570253Z",
     "shell.execute_reply.started": "2024-12-16T08:30:46.532287Z"
    }
   },
   "outputs": [],
   "source": [
    "ds_remap[\"crs\"] = xr.DataArray(\n",
    "    name=\"crs\",\n",
    "    data=0,\n",
    "    attrs={\n",
    "        \"grid_mapping_name\": \"healpix\",\n",
    "        \"healpix_nside\": 2**zoom,\n",
    "        \"healpix_order\": \"nest\",\n",
    "    },\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "notebook_metadata_filter": "-jupytext.text_representation.jupytext_version"
  },
  "kernelspec": {
   "display_name": "main",
   "language": "python",
   "name": "main"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}