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"import pathlib\n",
"\n",
"import easygems.healpix as egh\n",
"import easygems.remap as egr\n",
"import healpix as hp\n",
"import numcodecs\n",
"import numpy as np\n",
"import xarray as xr\n",
"import zarr\n",
"\n",
"\n",
"def get_dtype(da):\n",
" if np.issubdtype(da.dtype, np.floating):\n",
" return \"float32\"\n",
" else:\n",
" return da.dtype\n",
"\n",
"\n",
"def get_chunks(dimensions):\n",
" if \"level\" in dimensions:\n",
" chunks = {\n",
" \"time\": 12,\n",
" \"cell\": 4**8,\n",
" \"level\": 4,\n",
" }\n",
" else:\n",
" chunks = {\n",
" \"time\": 24,\n",
" \"cell\": 4**8,\n",
" }\n",
"\n",
" return tuple((chunks[d] for d in dimensions))\n",
"\n",
"\n",
"def get_compressor():\n",
" return numcodecs.Blosc(\"zstd\", shuffle=2)\n",
"\n",
"\n",
"def get_encoding(dataset):\n",
" return {\n",
" var: {\n",
" \"compressor\": get_compressor(),\n",
" \"dtype\": get_dtype(dataset[var]),\n",
" \"chunks\": get_chunks(dataset[var].dims),\n",
" }\n",
" for var in dataset.variables\n",
" if var not in dataset.dims\n",
" }\n",
"\n",
"\n",
"def get_limited_healpix(extent, order, chunksize=4**8):\n",
" nside = hp.order2nside(order)\n",
" npix = hp.nside2npix(nside)\n",
" \n",
" hp_lon, hp_lat = hp.pix2ang(nside, np.arange(npix), nest=True, lonlat=True)\n",
" hp_lon = (hp_lon + 180) % 360 - 180\n",
" \n",
" icell, = np.where(\n",
" (hp_lon > extent[0]) &\n",
" (hp_lon < extent[1]) &\n",
" (hp_lat > extent[2]) &\n",
" (hp_lat < extent[3])\n",
" )\n",
" ichunk = egh.get_full_chunks(icell, chunksize=4**8)\n",
"\n",
" return hp_lon[ichunk], hp_lat[ichunk], ichunk"
]
},
{
"cell_type": "markdown",
"id": "0b75dbd2-2adb-486c-bc4b-210ad7589067",
"metadata": {},
"source": [
"## Open input dataset and regional ICON grid"
]
},
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"expdir = pathlib.Path(\"/work/mh0492/m301067/orcestra/icon-mpim/build-lamorcestra/experiments/orcestra_1250m_0809/\")\n",
"ds = xr.open_mfdataset(expdir.glob(\"orcestra_1250m_????_atm_2d_ml_DOM01_2024*T000000Z.nc\")).squeeze().drop_vars([\"height\", \"height_2\"])\n",
"grid = xr.open_dataset(expdir / \"ORCESTRA_1250m_DOM01.nc\")\n",
"\n",
"extent = [\n",
" float(np.rad2deg(grid.clon).min()),\n",
" float(np.rad2deg(grid.clon).max()),\n",
" float(np.rad2deg(grid.clat).min()),\n",
" float(np.rad2deg(grid.clat).max())\n",
"]"
]
},
{
"cell_type": "markdown",
"id": "4d715292-e7aa-4301-bcec-23e727d15e68",
"metadata": {},
"source": [
"## Compute and store interpolation weights"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "babcb528-448e-44af-bd62-f62ed366395c",
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"# Define limited-area HEALPix grid\n",
"zoom = 12\n",
"hp_lon, hp_lat, ichunk = get_limited_healpix(extent, order=zoom)\n",
"crs = xr.DataArray(\n",
" name=\"crs\",\n",
" attrs={\n",
" \"grid_mapping_name\": \"healpix\",\n",
" \"healpix_nside\": 2**zoom,\n",
" \"healpix_order\": \"nest\",\n",
" },\n",
")\n",
"\n",
"weights_file = f\"DOM01_hpz{zoom}_limited_weights.nc\"\n",
"if pathlib.Path(weights_file).is_file():\n",
" # Load existing weights\n",
" weights = xr.open_dataset(weights_file)\n",
"else:\n",
" # Compute interpolation weights\n",
" weights = egr.compute_weights_delaunay(\n",
" points=(np.degrees(grid.clon), np.degrees(grid.clat)),\n",
" xi=(hp_lon, hp_lat),\n",
" )\n",
" weights.to_netcdf(weights_file)"
]
},
{
"cell_type": "markdown",
"id": "df1b9ddd-3a71-4d06-a9a1-c45fabc8a4b8",
"metadata": {},
"source": [
"## Plug and play"
]
},
{
"cell_type": "code",
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"Attributes:\n",
" CDI: Climate Data Interface version 2.4.0 (https://mpime...\n",
" Conventions: CF-1.6\n",
" number_of_grid_used: 42\n",
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" institution: Max Planck Institute for Meteorology/Deutscher Wett...\n",
" title: ICON simulation\n",
" source: https://gitlab.dkrz.de/icon/icon-mpim.git@1fa5838fd...\n",
" history: /work/mh0492/m301067/orcestra/icon-mpim/build-lamor...\n",
" references: see MPIM/DWD publications\n",
" comment: Romain Fievet (m301067) on l10068 (Linux 4.18.0-477...</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-887cf8dd-45c6-4eb6-b974-1dbec3562e62' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-887cf8dd-45c6-4eb6-b974-1dbec3562e62' 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>: 48</li><li><span class='xr-has-index'>cell</span>: 9371648</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2497c4f9-389f-459b-86ed-2acb726c7dd9' class='xr-section-summary-in' type='checkbox' checked><label for='section-2497c4f9-389f-459b-86ed-2acb726c7dd9' 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'>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'>2024-08-09T00:10:00 ... 2024-08-...</div><input id='attrs-fe7d3ab7-0eec-4ce6-b6bd-c3e1991f86f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe7d3ab7-0eec-4ce6-b6bd-c3e1991f86f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-177a3d2e-9a47-4f57-817c-d9c2bba8a49d' class='xr-var-data-in' type='checkbox'><label for='data-177a3d2e-9a47-4f57-817c-d9c2bba8a49d' 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><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array(['2024-08-09T00:10:00.000000000', '2024-08-09T00:20:00.000000000',\n",
" '2024-08-09T00:30:00.000000000', '2024-08-09T00:40:00.000000000',\n",
" '2024-08-09T00:50:00.000000000', '2024-08-09T01:00:00.000000000',\n",
" '2024-08-09T01:10:00.000000000', '2024-08-09T01:20:00.000000000',\n",
" '2024-08-09T01:30:00.000000000', '2024-08-09T01:40:00.000000000',\n",
" '2024-08-09T01:50:00.000000000', '2024-08-09T02:00:00.000000000',\n",
" '2024-08-09T02:10:00.000000000', '2024-08-09T02:20:00.000000000',\n",
" '2024-08-09T02:30:00.000000000', '2024-08-09T02:40:00.000000000',\n",
" '2024-08-09T02:50:00.000000000', '2024-08-09T03:00:00.000000000',\n",
" '2024-08-09T03:10:00.000000000', '2024-08-09T03:20:00.000000000',\n",
" '2024-08-09T03:30:00.000000000', '2024-08-09T03:40:00.000000000',\n",
" '2024-08-09T03:50:00.000000000', '2024-08-09T04:00:00.000000000',\n",
" '2024-08-09T04:10:00.000000000', '2024-08-09T04:20:00.000000000',\n",
" '2024-08-09T04:30:00.000000000', '2024-08-09T04:40:00.000000000',\n",
" '2024-08-09T04:50:00.000000000', '2024-08-09T05:00:00.000000000',\n",
" '2024-08-09T05:10:00.000000000', '2024-08-09T05:20:00.000000000',\n",
" '2024-08-09T05:30:00.000000000', '2024-08-09T05:40:00.000000000',\n",
" '2024-08-09T05:50:00.000000000', '2024-08-09T06:00:00.000000000',\n",
" '2024-08-09T06:10:00.000000000', '2024-08-09T06:20:00.000000000',\n",
" '2024-08-09T06:30:00.000000000', '2024-08-09T06:40:00.000000000',\n",
" '2024-08-09T06:50:00.000000000', '2024-08-09T07:00:00.000000000',\n",
" '2024-08-09T07:10:00.000000000', '2024-08-09T07:20:00.000000000',\n",
" '2024-08-09T07:30:00.000000000', '2024-08-09T07:40:00.000000000',\n",
" '2024-08-09T07:50:00.000000000', '2024-08-09T08:00:00.000000000'],\n",
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cell</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>50331648 50331649 ... 201326591</div><input id='attrs-769a8123-bc34-410a-bb1a-09340f7bbd02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-769a8123-bc34-410a-bb1a-09340f7bbd02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67cf6abd-75a4-46b4-a231-7d24083081aa' class='xr-var-data-in' type='checkbox'><label for='data-67cf6abd-75a4-46b4-a231-7d24083081aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 50331648, 50331649, 50331650, ..., 201326589, 201326590, 201326591])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-a394e9cc-16e4-4596-8630-c59f85060e5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a394e9cc-16e4-4596-8630-c59f85060e5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8431cc9-0e1b-4d26-8c6a-21c2e0d654b9' class='xr-var-data-in' type='checkbox'><label for='data-a8431cc9-0e1b-4d26-8c6a-21c2e0d654b9' 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>healpix</dd><dt><span>healpix_nside :</span></dt><dd>4096</dd><dt><span>healpix_order :</span></dt><dd>nest</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b98ee469-af92-40b3-af60-24ab6baff9b7' class='xr-section-summary-in' type='checkbox' ><label for='section-b98ee469-af92-40b3-af60-24ab6baff9b7' class='xr-section-summary' >Data variables: <span>(32)</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>psl</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-0d9134a2-54c8-48c4-a844-7816bb811237' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d9134a2-54c8-48c4-a844-7816bb811237' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e9f95bc-367e-445c-9f1a-0aa712e857f2' class='xr-var-data-in' type='checkbox'><label for='data-7e9f95bc-367e-445c-9f1a-0aa712e857f2' 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>mean sea level pressure</dd><dt><span>long_name :</span></dt><dd>mean sea level pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>param :</span></dt><dd>1.3.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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",
" <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=\"12\" x2=\"120\" y2=\"12\" />\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",
"\n",
" <!-- Colored Rectangle -->\n",
" <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",
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" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">48</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-79430650-1479-496d-ae91-7f0f62584e98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79430650-1479-496d-ae91-7f0f62584e98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-837fbfb9-4f36-4158-a6ea-2ed8edde4154' class='xr-var-data-in' type='checkbox'><label for='data-837fbfb9-4f36-4158-a6ea-2ed8edde4154' 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>surface_temperature</dd><dt><span>long_name :</span></dt><dd>surface temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>param :</span></dt><dd>0.0.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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",
" <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=\"12\" x2=\"120\" y2=\"12\" />\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",
"\n",
" <!-- Colored Rectangle -->\n",
" <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",
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" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9371648</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)\">48</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>clt</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-1b7b366e-58d2-46de-a89b-753401653daa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b7b366e-58d2-46de-a89b-753401653daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d32f0bc4-a3ef-43ca-a8c5-c348f697aa37' class='xr-var-data-in' type='checkbox'><label for='data-d32f0bc4-a3ef-43ca-a8c5-c348f697aa37' 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>clt</dd><dt><span>long_name :</span></dt><dd>total cloud cover</dd><dt><span>units :</span></dt><dd>m2 m-2</dd><dt><span>param :</span></dt><dd>1.6.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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",
" <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",
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"\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",
"\n",
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"\n",
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" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">48</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-8790134d-dbdb-4190-bc81-04d31824a6c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8790134d-dbdb-4190-bc81-04d31824a6c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2932277-5e02-4dfc-acef-30f9cce2435e' class='xr-var-data-in' type='checkbox'><label for='data-d2932277-5e02-4dfc-acef-30f9cce2435e' 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>pr</dd><dt><span>long_name :</span></dt><dd>precipitation flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>param :</span></dt><dd>52.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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",
" <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=\"12\" x2=\"120\" y2=\"12\" />\n",
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"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
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"\n",
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" </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>prw</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-820ad955-55a7-4960-be7d-f0f237b8b86e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-820ad955-55a7-4960-be7d-f0f237b8b86e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfce9f7f-4e17-4bae-875a-daba27869436' class='xr-var-data-in' type='checkbox'><label for='data-bfce9f7f-4e17-4bae-875a-daba27869436' 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>atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>water vapor path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>param :</span></dt><dd>64.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\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>cllvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-9563711a-a7ae-409f-9fb4-2ecb209f4e44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9563711a-a7ae-409f-9fb4-2ecb209f4e44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8838abc7-bad3-4d08-a4c4-7c74b174a747' class='xr-var-data-in' type='checkbox'><label for='data-8838abc7-bad3-4d08-a4c4-7c74b174a747' 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>atmosphere_mass_content_of_cloud_liquid_water</dd><dt><span>long_name :</span></dt><dd>cloud liquid water path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>param :</span></dt><dd>69.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" \n",
" <tr>\n",
" <th> Bytes </th>\n",
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" <td> 858.00 MiB </td>\n",
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" \n",
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" <td> (48, 9371648) </td>\n",
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" </tr>\n",
" <tr>\n",
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" <td colspan=\"2\"> 2 chunks in 7 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>qivi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-99107880-011f-4187-a724-af593ec74341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99107880-011f-4187-a724-af593ec74341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e4c6d48-b65e-48d1-aa5d-f357edd69265' class='xr-var-data-in' type='checkbox'><label for='data-3e4c6d48-b65e-48d1-aa5d-f357edd69265' 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>atmosphere_mass_content_of_cloud_ice</dd><dt><span>long_name :</span></dt><dd>cloud ice path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>param :</span></dt><dd>70.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hfls</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-fd4013cc-8594-4d70-9339-da4d702e7747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd4013cc-8594-4d70-9339-da4d702e7747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d8a37e-8f94-4341-a8f1-098bd685391a' class='xr-var-data-in' type='checkbox'><label for='data-f6d8a37e-8f94-4341-a8f1-098bd685391a' 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>lhflx</dd><dt><span>long_name :</span></dt><dd>latent heat flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>10.0.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" \n",
" <tr>\n",
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" <td> 858.00 MiB </td>\n",
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" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
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" <tr>\n",
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" <td colspan=\"2\"> 2 chunks in 7 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>hfss</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-fae044e2-d6fa-46cf-ad4c-22db72aad512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fae044e2-d6fa-46cf-ad4c-22db72aad512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a500a1a1-7cb7-4fe2-aa7d-22f5513a52cb' class='xr-var-data-in' type='checkbox'><label for='data-a500a1a1-7cb7-4fe2-aa7d-22f5513a52cb' 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>shflx</dd><dt><span>long_name :</span></dt><dd>sensible heat flux</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>11.0.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" \n",
" <tr>\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>evspsbl</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-4105d3be-96bb-45cd-9be6-0fcce771f403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4105d3be-96bb-45cd-9be6-0fcce771f403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45dd2c6-2514-4e49-88b9-10f76dbab75f' class='xr-var-data-in' type='checkbox'><label for='data-f45dd2c6-2514-4e49-88b9-10f76dbab75f' 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>evap</dd><dt><span>long_name :</span></dt><dd>evaporation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>param :</span></dt><dd>6.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" <tr>\n",
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" </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauu</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-e4c9c186-bd14-4fba-8031-7f4dbf894175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4c9c186-bd14-4fba-8031-7f4dbf894175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c361ae34-7341-4d16-89fe-fc7a5991b515' class='xr-var-data-in' type='checkbox'><label for='data-c361ae34-7341-4d16-89fe-fc7a5991b515' 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>u_stress</dd><dt><span>long_name :</span></dt><dd>u-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>param :</span></dt><dd>17.2.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tauv</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-a78804ed-e0b0-4585-ad17-3ccab88285ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a78804ed-e0b0-4585-ad17-3ccab88285ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-190655f8-6f7c-4c8a-9508-dcd5bbc8d2e5' class='xr-var-data-in' type='checkbox'><label for='data-190655f8-6f7c-4c8a-9508-dcd5bbc8d2e5' 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>v_stress</dd><dt><span>long_name :</span></dt><dd>v-momentum flux at the surface</dd><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>param :</span></dt><dd>18.2.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</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> 858.00 MiB </td>\n",
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" <td> (24, 9371648) </td>\n",
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" <tr>\n",
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" <td colspan=\"2\"> 2 chunks in 7 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>ps</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-61d2d336-2c97-4839-9a36-17f3dfbaf4ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61d2d336-2c97-4839-9a36-17f3dfbaf4ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-385ffa59-86c8-40d4-86e4-4646339b2830' class='xr-var-data-in' type='checkbox'><label for='data-385ffa59-86c8-40d4-86e4-4646339b2830' 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>surface_air_pressure</dd><dt><span>long_name :</span></dt><dd>surface pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>param :</span></dt><dd>0.3.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" <tr>\n",
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" <td colspan=\"2\"> 2 chunks in 7 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>tas</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-4da54dcd-38d0-4dea-adae-ac33ddfb227d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4da54dcd-38d0-4dea-adae-ac33ddfb227d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5c45bef-e839-4ad6-a148-1330176a8bb7' class='xr-var-data-in' type='checkbox'><label for='data-c5c45bef-e839-4ad6-a148-1330176a8bb7' 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>tas</dd><dt><span>long_name :</span></dt><dd>temperature in 2m</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>param :</span></dt><dd>0.0.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" <td>\n",
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" <th> Chunk </th>\n",
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" \n",
" <tr>\n",
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" <tr>\n",
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" <td colspan=\"2\"> 2 chunks in 8 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>rsdt</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-38b107ef-274a-44cf-a10f-9291cfcd0040' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38b107ef-274a-44cf-a10f-9291cfcd0040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4213d71c-811e-4377-9dc7-612d6ac60cba' class='xr-var-data-in' type='checkbox'><label for='data-4213d71c-811e-4377-9dc7-612d6ac60cba' 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>toa_incoming_shortwave_flux</dd><dt><span>long_name :</span></dt><dd>toa incident shortwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>201.4.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>level_type :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\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>rsut</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-4f59e8cc-ceab-45c3-99ef-c07cf5014d3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f59e8cc-ceab-45c3-99ef-c07cf5014d3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30b67939-e87a-4c73-9a11-afa24149d1f8' class='xr-var-data-in' type='checkbox'><label for='data-30b67939-e87a-4c73-9a11-afa24149d1f8' 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>toa_outgoing_shortwave_flux</dd><dt><span>long_name :</span></dt><dd>toa outgoing shortwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>8.4.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>level_type :</span></dt><dd>toa</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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" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsutcs</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-1423795a-b630-44f4-b584-7024e8fdce93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1423795a-b630-44f4-b584-7024e8fdce93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-809e7d81-e625-4328-b3c7-3532f790950f' class='xr-var-data-in' type='checkbox'><label for='data-809e7d81-e625-4328-b3c7-3532f790950f' 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>toa_outgoing_shortwave_flux_assuming_clear_sky</dd><dt><span>long_name :</span></dt><dd>toa outgoing clear-sky shortwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>208.4.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>level_type :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rlutcs</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-6f3846f1-44e4-4a46-bfbc-503c91aa37fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f3846f1-44e4-4a46-bfbc-503c91aa37fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ab4bb7-2f85-44cb-b3a4-c6050bcc25ec' class='xr-var-data-in' type='checkbox'><label for='data-d2ab4bb7-2f85-44cb-b3a4-c6050bcc25ec' 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>toa_outgoing_longwave_flux_assuming_clear_sky</dd><dt><span>long_name :</span></dt><dd>toa outgoing clear-sky longwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>204.5.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd><dt><span>level_type :</span></dt><dd>toa</dd></dl></div><div class='xr-var-data'><table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-d44f3922-2524-43af-9706-75ab989a7f0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d44f3922-2524-43af-9706-75ab989a7f0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad5aae1d-63e8-4e29-ad88-a87e1c50e1ea' class='xr-var-data-in' type='checkbox'><label for='data-ad5aae1d-63e8-4e29-ad88-a87e1c50e1ea' 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>surface_downwelling_shortwave_flux_in_air</dd><dt><span>long_name :</span></dt><dd>surface downwelling shortwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>7.4.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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" \n",
" <tr>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsdscs</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-cf528c61-6f2a-4dd1-a90c-dfd29189c411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf528c61-6f2a-4dd1-a90c-dfd29189c411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dd5f720-8687-4d25-9d92-447bbc7a143e' class='xr-var-data-in' type='checkbox'><label for='data-7dd5f720-8687-4d25-9d92-447bbc7a143e' 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>surface_downwelling_shortwave_flux_in_air_assuming_clear_sky</dd><dt><span>long_name :</span></dt><dd>surface downwelling clear-sky shortwave radiation</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>param :</span></dt><dd>207.4.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><table>\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>qrvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-707d39b5-e9ad-4304-ba70-8a6929170356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-707d39b5-e9ad-4304-ba70-8a6929170356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a144656c-2382-4b2d-a54a-3c2d4e1c7621' class='xr-var-data-in' type='checkbox'><label for='data-a144656c-2382-4b2d-a54a-3c2d4e1c7621' 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>atmosphere_mass_content_of_rain</dd><dt><span>long_name :</span></dt><dd>rain path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>param :</span></dt><dd>45.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\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>qsvi</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-808331cd-ed41-46d8-9bd5-71c108a5a808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-808331cd-ed41-46d8-9bd5-71c108a5a808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6e29975-81c1-4934-999e-6d42ee51e64d' class='xr-var-data-in' type='checkbox'><label for='data-e6e29975-81c1-4934-999e-6d42ee51e64d' 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>atmosphere_mass_content_of_snow</dd><dt><span>long_name :</span></dt><dd>snow path</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>param :</span></dt><dd>46.1.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 7 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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"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uas</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-a1a48908-2139-4be5-88bc-1cd38a66475a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1a48908-2139-4be5-88bc-1cd38a66475a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1367418c-5241-4ccb-ae6b-8d646acd3d96' class='xr-var-data-in' type='checkbox'><label for='data-1367418c-5241-4ccb-ae6b-8d646acd3d96' 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>uas</dd><dt><span>long_name :</span></dt><dd>zonal wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>param :</span></dt><dd>2.2.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 8 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",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\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>vas</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-7718bd83-3b28-4846-aa78-d08edf279a8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7718bd83-3b28-4846-aa78-d08edf279a8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5378c87-db77-4bcc-a932-f25110387505' class='xr-var-data-in' type='checkbox'><label for='data-c5378c87-db77-4bcc-a932-f25110387505' 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>vas</dd><dt><span>long_name :</span></dt><dd>meridional wind in 10m</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>param :</span></dt><dd>3.2.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 8 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",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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"\n",
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"\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>hus2m</span></div><div class='xr-var-dims'>(time, cell)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(24, 9371648), meta=np.ndarray></div><input id='attrs-7b258c45-9c60-4105-9750-abd368910e0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b258c45-9c60-4105-9750-abd368910e0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5518beb1-39b7-4864-9883-f946ead40f4c' class='xr-var-data-in' type='checkbox'><label for='data-5518beb1-39b7-4864-9883-f946ead40f4c' 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>qv2m</dd><dt><span>long_name :</span></dt><dd>specific humidity in 2m</dd><dt><span>units :</span></dt><dd>kg kg-1</dd><dt><span>param :</span></dt><dd>6.0.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>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> 1.68 GiB </td>\n",
" <td> 858.00 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (48, 9371648) </td>\n",
" <td> (24, 9371648) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 2 chunks in 8 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",
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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"\n",
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
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"\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",
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" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9371648</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)\">48</text>\n",
"</svg>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8231e328-4dde-477e-a88c-b53722d02236' class='xr-section-summary-in' type='checkbox' ><label for='section-8231e328-4dde-477e-a88c-b53722d02236' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-361b4fa5-ab40-4285-b95d-774e9d08f40b' class='xr-index-data-in' type='checkbox'/><label for='index-361b4fa5-ab40-4285-b95d-774e9d08f40b' 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(['2024-08-09 00:10:00', '2024-08-09 00:20:00',\n",
" '2024-08-09 00:30:00', '2024-08-09 00:40:00',\n",
" '2024-08-09 00:50:00', '2024-08-09 01:00:00',\n",
" '2024-08-09 01:10:00', '2024-08-09 01:20:00',\n",
" '2024-08-09 01:30:00', '2024-08-09 01:40:00',\n",
" '2024-08-09 01:50:00', '2024-08-09 02:00:00',\n",
" '2024-08-09 02:10:00', '2024-08-09 02:20:00',\n",
" '2024-08-09 02:30:00', '2024-08-09 02:40:00',\n",
" '2024-08-09 02:50:00', '2024-08-09 03:00:00',\n",
" '2024-08-09 03:10:00', '2024-08-09 03:20:00',\n",
" '2024-08-09 03:30:00', '2024-08-09 03:40:00',\n",
" '2024-08-09 03:50:00', '2024-08-09 04:00:00',\n",
" '2024-08-09 04:10:00', '2024-08-09 04:20:00',\n",
" '2024-08-09 04:30:00', '2024-08-09 04:40:00',\n",
" '2024-08-09 04:50:00', '2024-08-09 05:00:00',\n",
" '2024-08-09 05:10:00', '2024-08-09 05:20:00',\n",
" '2024-08-09 05:30:00', '2024-08-09 05:40:00',\n",
" '2024-08-09 05:50:00', '2024-08-09 06:00:00',\n",
" '2024-08-09 06:10:00', '2024-08-09 06:20:00',\n",
" '2024-08-09 06:30:00', '2024-08-09 06:40:00',\n",
" '2024-08-09 06:50:00', '2024-08-09 07:00:00',\n",
" '2024-08-09 07:10:00', '2024-08-09 07:20:00',\n",
" '2024-08-09 07:30:00', '2024-08-09 07:40:00',\n",
" '2024-08-09 07:50:00', '2024-08-09 08:00:00'],\n",
" dtype='datetime64[ns]', name='time', freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cell</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72a5b641-237b-40e2-a539-054718f59d3b' class='xr-index-data-in' type='checkbox'/><label for='index-72a5b641-237b-40e2-a539-054718f59d3b' 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([ 50331648, 50331649, 50331650, 50331651, 50331652, 50331653,\n",
" 50331654, 50331655, 50331656, 50331657,\n",
" ...\n",
" 201326582, 201326583, 201326584, 201326585, 201326586, 201326587,\n",
" 201326588, 201326589, 201326590, 201326591],\n",
" dtype='int64', name='cell', length=9371648))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb53e410-3ec2-4c5d-8eb7-55343c3a3964' class='xr-section-summary-in' type='checkbox' ><label for='section-fb53e410-3ec2-4c5d-8eb7-55343c3a3964' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.4.0 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>number_of_grid_used :</span></dt><dd>42</dd><dt><span>uuidOfHGrid :</span></dt><dd>d91eb16c-5cb5-11ef-bad0-d926b45399a4</dd><dt><span>institution :</span></dt><dd>Max Planck Institute for Meteorology/Deutscher Wetterdienst</dd><dt><span>title :</span></dt><dd>ICON simulation</dd><dt><span>source :</span></dt><dd>https://gitlab.dkrz.de/icon/icon-mpim.git@1fa5838fd930a12111fdada19119276f10bfa8d2</dd><dt><span>history :</span></dt><dd>/work/mh0492/m301067/orcestra/icon-mpim/build-lamorcestra/bin/icon at 20240819 044413</dd><dt><span>references :</span></dt><dd>see MPIM/DWD publications</dd><dt><span>comment :</span></dt><dd>Romain Fievet (m301067) on l10068 (Linux 4.18.0-477.58.1.el8_8.x86_64 x86_64)</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 58GB\n",
"Dimensions: (time: 48, cell: 9371648)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 384B 2024-08-09T00:10:00 ... 2024-08-09T08...\n",
" * cell (cell) int64 75MB 50331648 50331649 ... 201326590 201326591\n",
" crs float64 8B nan\n",
"Data variables: (12/32)\n",
" psl (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" ts (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" clt (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" pr (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" prw (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" cllvi (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" ... ...\n",
" qgvi (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" qrvi (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" qsvi (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" uas (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" vas (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
" hus2m (time, cell) float32 2GB dask.array<chunksize=(24, 9371648), meta=np.ndarray>\n",
"Attributes:\n",
" CDI: Climate Data Interface version 2.4.0 (https://mpime...\n",
" Conventions: CF-1.6\n",
" number_of_grid_used: 42\n",
" uuidOfHGrid: d91eb16c-5cb5-11ef-bad0-d926b45399a4\n",
" institution: Max Planck Institute for Meteorology/Deutscher Wett...\n",
" title: ICON simulation\n",
" source: https://gitlab.dkrz.de/icon/icon-mpim.git@1fa5838fd...\n",
" history: /work/mh0492/m301067/orcestra/icon-mpim/build-lamor...\n",
" references: see MPIM/DWD publications\n",
" comment: Romain Fievet (m301067) on l10068 (Linux 4.18.0-477..."
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_remap = xr.apply_ufunc(\n",
" egr.apply_weights,\n",
" ds.isel(time=slice(1, (2 * 24) + 1)), # ONLY USE FIRST COUPLE OF TIME STEPS\n",
" kwargs=weights,\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\": weights.sizes[\"tgt_idx\"]},\n",
" },\n",
" keep_attrs=True,\n",
").assign_coords(\n",
" cell=ichunk,\n",
" crs=crs,\n",
").chunk(\n",
" time=24,\n",
")\n",
"\n",
"store = zarr.storage.DirectoryStore(\n",
" path=f\"orcestra_1250m_0809_hpz{zoom}.zarr\",\n",
" dimension_separator=\"/\",\n",
")\n",
"\n",
"ds_remap.to_zarr(\n",
" store=store,\n",
" encoding=get_encoding(ds_remap),\n",
" mode=\"w\",\n",
")"
]
}
],
"metadata": {
"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": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}