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Reprojecting UKCP 2.2km dataset from rotated pole to regular lat/lon grid using Xarray and XESMF
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rotated-pole-to-regular-lat-lon-xesmf.ipynb
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"source": [
"import xarray as xr\n",
"import xesmf as xe\n",
"import numpy as np\n",
"import rioxarray"
]
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"PATH = \"tas_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc\""
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"## Open a UKCP 2.2km dataset with rotated pole curvilinear lat/lon grid"
]
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"execution_count": 3,
"id": "928e6e12",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 427MB\n",
"Dimensions: (ensemble_member: 1, time: 360,\n",
" grid_latitude: 606, grid_longitude: 484,\n",
" bnds: 2)\n",
"Coordinates:\n",
" * ensemble_member (ensemble_member) int32 4B 1\n",
" * time (time) object 3kB 1980-12-01 12:00:00 ... 198...\n",
" * grid_latitude (grid_latitude) float64 5kB -4.683 ... 8.063\n",
" * grid_longitude (grid_longitude) float64 4kB 353.9 ... 364.3\n",
" ensemble_member_id (ensemble_member) |S27 27B ...\n",
" latitude (grid_latitude, grid_longitude) float64 2MB ...\n",
" longitude (grid_latitude, grid_longitude) float64 2MB ...\n",
" month_number (time) int32 1kB ...\n",
" year (time) int32 1kB ...\n",
" yyyymmdd (time) |S64 23kB ...\n",
"Dimensions without coordinates: bnds\n",
"Data variables:\n",
" tas (ensemble_member, time, grid_latitude, grid_longitude) float32 422MB ...\n",
" rotated_latitude_longitude int32 4B ...\n",
" time_bnds (time, bnds) object 6kB ...\n",
" grid_latitude_bnds (grid_latitude, bnds) float64 10kB ...\n",
" grid_longitude_bnds (grid_longitude, bnds) float64 8kB ...\n",
"Attributes: (12/15)\n",
" collection: land-cpm\n",
" contact: [email protected]\n",
" creation_date: 2021-05-11T14:06:27\n",
" domain: uk\n",
" frequency: day\n",
" institution: Met Office Hadley Centre (MOHC), FitzRoy Road, Exeter, D...\n",
" ... ...\n",
" resolution: 2.2km\n",
" scenario: rcp85\n",
" source: UKCP18 realisation from a set of 12 convection-permittin...\n",
" title: UKCP18 land projections - 2.2km convection-permitting cl...\n",
" version: v20210615\n",
" Conventions: CF-1.7</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-552c42d9-858e-4e65-bff5-9f80edbb8362' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-552c42d9-858e-4e65-bff5-9f80edbb8362' 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'>ensemble_member</span>: 1</li><li><span class='xr-has-index'>time</span>: 360</li><li><span class='xr-has-index'>grid_latitude</span>: 606</li><li><span class='xr-has-index'>grid_longitude</span>: 484</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4c3b586b-7b97-4f0d-9bde-29161e943cb0' class='xr-section-summary-in' type='checkbox' checked><label for='section-4c3b586b-7b97-4f0d-9bde-29161e943cb0' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ensemble_member</span></div><div class='xr-var-dims'>(ensemble_member)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-03580fce-4d29-4fd3-926b-adeb3b32c988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03580fce-4d29-4fd3-926b-adeb3b32c988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7a34aca-741e-496d-84aa-1c06afccaba1' class='xr-var-data-in' type='checkbox'><label for='data-e7a34aca-741e-496d-84aa-1c06afccaba1' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>ensemble_member</dd></dl></div><div class='xr-var-data'><pre>array([1], dtype=int32)</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'>object</div><div class='xr-var-preview xr-preview'>1980-12-01 12:00:00 ... 1981-11-...</div><input id='attrs-36a04ee5-4aa6-41f3-8816-f7841f02d9e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36a04ee5-4aa6-41f3-8816-f7841f02d9e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45ea1628-a76a-4296-b304-4f389d2cb67a' class='xr-var-data-in' type='checkbox'><label for='data-45ea1628-a76a-4296-b304-4f389d2cb67a' 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>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(1980, 12, 1, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.Datetime360Day(1980, 12, 2, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.Datetime360Day(1980, 12, 3, 12, 0, 0, 0, has_year_zero=True),\n",
" ...,\n",
" cftime.Datetime360Day(1981, 11, 28, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.Datetime360Day(1981, 11, 29, 12, 0, 0, 0, has_year_zero=True),\n",
" cftime.Datetime360Day(1981, 11, 30, 12, 0, 0, 0, has_year_zero=True)],\n",
" dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_latitude</span></div><div class='xr-var-dims'>(grid_latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.683 -4.647 ... 8.027 8.063</div><input id='attrs-b27bcbb5-3fb9-43a1-be1f-2745c509a28d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b27bcbb5-3fb9-43a1-be1f-2745c509a28d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1507e9f-1552-4e9b-b825-9a010d844955' class='xr-var-data-in' type='checkbox'><label for='data-f1507e9f-1552-4e9b-b825-9a010d844955' 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>Y</dd><dt><span>bounds :</span></dt><dd>grid_latitude_bnds</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>grid_latitude</dd></dl></div><div class='xr-var-data'><pre>array([-4.682749, -4.646749, -4.610749, ..., 7.990849, 8.026849, 8.062849])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>grid_longitude</span></div><div class='xr-var-dims'>(grid_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>353.9 354.0 354.0 ... 364.3 364.3</div><input id='attrs-b9625423-9227-472d-afa6-781e6d8077b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9625423-9227-472d-afa6-781e6d8077b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7912bae8-50be-4c9b-a19d-b0eb020ad391' class='xr-var-data-in' type='checkbox'><label for='data-7912bae8-50be-4c9b-a19d-b0eb020ad391' 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>X</dd><dt><span>bounds :</span></dt><dd>grid_longitude_bnds</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>standard_name :</span></dt><dd>grid_longitude</dd></dl></div><div class='xr-var-data'><pre>array([353.935944, 353.971954, 354.007965, ..., 364.233551, 364.269562,\n",
" 364.305542])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ensemble_member_id</span></div><div class='xr-var-dims'>(ensemble_member)</div><div class='xr-var-dtype'>|S27</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea84441c-bcc4-4a8f-b7f0-0310910381df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea84441c-bcc4-4a8f-b7f0-0310910381df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30241ce0-d51f-4102-aff7-18f52939e7b7' class='xr-var-data-in' type='checkbox'><label for='data-30241ce0-d51f-4102-aff7-18f52939e7b7' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>ensemble_member_id</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S27]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(grid_latitude, grid_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15570fee-54ce-4380-9cc2-89c86f57ab5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15570fee-54ce-4380-9cc2-89c86f57ab5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b181967e-7c3a-46f1-82ef-c5eeb996e2df' class='xr-var-data-in' type='checkbox'><label for='data-b181967e-7c3a-46f1-82ef-c5eeb996e2df' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>[293304 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(grid_latitude, grid_longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-874b5861-3d83-4b8a-a8e4-7cff40592d1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-874b5861-3d83-4b8a-a8e4-7cff40592d1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-873046a7-eef3-40ab-a696-60c0ff86a66c' class='xr-var-data-in' type='checkbox'><label for='data-873046a7-eef3-40ab-a696-60c0ff86a66c' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>[293304 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6f1f54b-ee98-4b53-93db-4f61d9bafd9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6f1f54b-ee98-4b53-93db-4f61d9bafd9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc3ae9e4-775d-4d18-9d4d-96cbceee8b5f' class='xr-var-data-in' type='checkbox'><label for='data-cc3ae9e4-775d-4d18-9d4d-96cbceee8b5f' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>month_number</dd></dl></div><div class='xr-var-data'><pre>[360 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>year</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc2082e3-4ab8-4b7a-a8af-7f5bb6f2c5f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc2082e3-4ab8-4b7a-a8af-7f5bb6f2c5f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e86cf1-4699-4c9b-93c6-9cd4b8c43ae4' class='xr-var-data-in' type='checkbox'><label for='data-88e86cf1-4699-4c9b-93c6-9cd4b8c43ae4' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>year</dd></dl></div><div class='xr-var-data'><pre>[360 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yyyymmdd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-916dc6b6-8e27-47b1-bdc5-d9594d4050dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-916dc6b6-8e27-47b1-bdc5-d9594d4050dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe89f3e7-dc03-4623-8f1e-4ba173c7ea36' class='xr-var-data-in' type='checkbox'><label for='data-fe89f3e7-dc03-4623-8f1e-4ba173c7ea36' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>yyyymmdd</dd></dl></div><div class='xr-var-data'><pre>[360 values with dtype=|S64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76f2f818-1e4a-4cb9-9f1f-220a406d14fd' class='xr-section-summary-in' type='checkbox' checked><label for='section-76f2f818-1e4a-4cb9-9f1f-220a406d14fd' 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>tas</span></div><div class='xr-var-dims'>(ensemble_member, time, grid_latitude, grid_longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c030141-c5c4-4189-a397-515bc18bb7db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c030141-c5c4-4189-a397-515bc18bb7db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e550fd13-30ad-454f-8f4f-f5fd54f33a85' class='xr-var-data-in' type='checkbox'><label for='data-e550fd13-30ad-454f-8f4f-f5fd54f33a85' 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>air_temperature</dd><dt><span>long_name :</span></dt><dd>Mean air temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>description :</span></dt><dd>Mean air temperature</dd><dt><span>label_units :</span></dt><dd>°C</dd><dt><span>plot_label :</span></dt><dd>Mean air temperature at 1.5m (°C)</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>grid_mapping :</span></dt><dd>rotated_latitude_longitude</dd></dl></div><div class='xr-var-data'><pre>[105589440 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rotated_latitude_longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b59b0e5-6bd4-47c2-a3cd-ef65bcd59d6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b59b0e5-6bd4-47c2-a3cd-ef65bcd59d6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab58b117-1936-4fb0-b495-24f2a13f2a97' class='xr-var-data-in' type='checkbox'><label for='data-ab58b117-1936-4fb0-b495-24f2a13f2a97' 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>rotated_latitude_longitude</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>earth_radius :</span></dt><dd>6371229.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>37.5</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>177.5</dd><dt><span>north_pole_grid_longitude :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb801aaf-6027-4bc9-a997-45729144bec3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb801aaf-6027-4bc9-a997-45729144bec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a6d2384-a63a-473a-b519-b374ed4d6cd7' class='xr-var-data-in' type='checkbox'><label for='data-4a6d2384-a63a-473a-b519-b374ed4d6cd7' 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>[720 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid_latitude_bnds</span></div><div class='xr-var-dims'>(grid_latitude, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2367f92-4dd7-4774-bb71-b6ccb3b5ca6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2367f92-4dd7-4774-bb71-b6ccb3b5ca6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb735dec-f0d0-4fc5-ba99-d35dbe89a0aa' class='xr-var-data-in' type='checkbox'><label for='data-fb735dec-f0d0-4fc5-ba99-d35dbe89a0aa' 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>[1212 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid_longitude_bnds</span></div><div class='xr-var-dims'>(grid_longitude, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a611b59f-5dcf-4896-8a66-29cc8ced8bd9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a611b59f-5dcf-4896-8a66-29cc8ced8bd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f293d9-a31d-40f7-a461-0fb585a7d116' class='xr-var-data-in' type='checkbox'><label for='data-49f293d9-a31d-40f7-a461-0fb585a7d116' 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>[968 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d462d6c-b17d-405f-9b9d-83bf48ed84c8' class='xr-section-summary-in' type='checkbox' ><label for='section-5d462d6c-b17d-405f-9b9d-83bf48ed84c8' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ensemble_member</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-faf9e3ab-3123-4f64-8a8c-8f98b22bb81d' class='xr-index-data-in' type='checkbox'/><label for='index-faf9e3ab-3123-4f64-8a8c-8f98b22bb81d' 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([1], dtype=&#x27;int32&#x27;, name=&#x27;ensemble_member&#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><div></div><input id='index-d86b2305-fabe-4b06-b4fa-5754e73f18e2' class='xr-index-data-in' type='checkbox'/><label for='index-d86b2305-fabe-4b06-b4fa-5754e73f18e2' 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(CFTimeIndex([1980-12-01 12:00:00, 1980-12-02 12:00:00, 1980-12-03 12:00:00,\n",
" 1980-12-04 12:00:00, 1980-12-05 12:00:00, 1980-12-06 12:00:00,\n",
" 1980-12-07 12:00:00, 1980-12-08 12:00:00, 1980-12-09 12:00:00,\n",
" 1980-12-10 12:00:00,\n",
" ...\n",
" 1981-11-21 12:00:00, 1981-11-22 12:00:00, 1981-11-23 12:00:00,\n",
" 1981-11-24 12:00:00, 1981-11-25 12:00:00, 1981-11-26 12:00:00,\n",
" 1981-11-27 12:00:00, 1981-11-28 12:00:00, 1981-11-29 12:00:00,\n",
" 1981-11-30 12:00:00],\n",
" dtype=&#x27;object&#x27;, length=360, calendar=&#x27;360_day&#x27;, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>grid_latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b934cb75-f85f-4983-8d28-41d3bc42e868' class='xr-index-data-in' type='checkbox'/><label for='index-b934cb75-f85f-4983-8d28-41d3bc42e868' 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([ -4.682748794555664, -4.646749019622803, -4.610749244689941,\n",
" -4.574748992919922, -4.5387492179870605, -4.502748966217041,\n",
" -4.46674919128418, -4.43074893951416, -4.394749164581299,\n",
" -4.358748912811279,\n",
" ...\n",
" 7.73884916305542, 7.774848937988281, 7.810849189758301,\n",
" 7.846848964691162, 7.882849216461182, 7.918848991394043,\n",
" 7.9548492431640625, 7.990849018096924, 8.026848793029785,\n",
" 8.062849044799805],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;grid_latitude&#x27;, length=606))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>grid_longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-463b87ba-57fe-4025-85e6-5b21d900b84b' class='xr-index-data-in' type='checkbox'/><label for='index-463b87ba-57fe-4025-85e6-5b21d900b84b' 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([ 353.9359436035156, 353.9719543457031, 354.0079650878906,\n",
" 354.0439453125, 354.0799560546875, 354.1159362792969,\n",
" 354.1519470214844, 354.1879577636719, 354.22393798828125,\n",
" 354.25994873046875,\n",
" ...\n",
" 363.9815368652344, 364.0175476074219, 364.0535583496094,\n",
" 364.08953857421875, 364.12554931640625, 364.16156005859375,\n",
" 364.1975402832031, 364.2335510253906, 364.2695617675781,\n",
" 364.3055419921875],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;grid_longitude&#x27;, length=484))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d395be1-37fb-4581-a4b2-6461b6d2be98' class='xr-section-summary-in' type='checkbox' ><label for='section-9d395be1-37fb-4581-a4b2-6461b6d2be98' class='xr-section-summary' >Attributes: <span>(15)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>collection :</span></dt><dd>land-cpm</dd><dt><span>contact :</span></dt><dd>[email protected]</dd><dt><span>creation_date :</span></dt><dd>2021-05-11T14:06:27</dd><dt><span>domain :</span></dt><dd>uk</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>institution :</span></dt><dd>Met Office Hadley Centre (MOHC), FitzRoy Road, Exeter, Devon, EX1 3PB, UK.</dd><dt><span>institution_id :</span></dt><dd>MOHC</dd><dt><span>project :</span></dt><dd>UKCP18</dd><dt><span>references :</span></dt><dd>https://ukclimateprojections.metoffice.gov.uk</dd><dt><span>resolution :</span></dt><dd>2.2km</dd><dt><span>scenario :</span></dt><dd>rcp85</dd><dt><span>source :</span></dt><dd>UKCP18 realisation from a set of 12 convection-permitting models (HadREM3-RA11M) driven by perturbed variants of the Met Office Unified Model Global Atmosphere GA7 model (HadREM3-GA705) at 12km resolution. The HadREM3-GA705 models were driven by perturbed variants of the global HadGEM3-GC3.05</dd><dt><span>title :</span></dt><dd>UKCP18 land projections - 2.2km convection-permitting climate model, Mean air temperature over the UK for the RCP8.5 scenario</dd><dt><span>version :</span></dt><dd>v20210615</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset> Size: 427MB\n",
"Dimensions: (ensemble_member: 1, time: 360,\n",
" grid_latitude: 606, grid_longitude: 484,\n",
" bnds: 2)\n",
"Coordinates:\n",
" * ensemble_member (ensemble_member) int32 4B 1\n",
" * time (time) object 3kB 1980-12-01 12:00:00 ... 198...\n",
" * grid_latitude (grid_latitude) float64 5kB -4.683 ... 8.063\n",
" * grid_longitude (grid_longitude) float64 4kB 353.9 ... 364.3\n",
" ensemble_member_id (ensemble_member) |S27 27B ...\n",
" latitude (grid_latitude, grid_longitude) float64 2MB ...\n",
" longitude (grid_latitude, grid_longitude) float64 2MB ...\n",
" month_number (time) int32 1kB ...\n",
" year (time) int32 1kB ...\n",
" yyyymmdd (time) |S64 23kB ...\n",
"Dimensions without coordinates: bnds\n",
"Data variables:\n",
" tas (ensemble_member, time, grid_latitude, grid_longitude) float32 422MB ...\n",
" rotated_latitude_longitude int32 4B ...\n",
" time_bnds (time, bnds) object 6kB ...\n",
" grid_latitude_bnds (grid_latitude, bnds) float64 10kB ...\n",
" grid_longitude_bnds (grid_longitude, bnds) float64 8kB ...\n",
"Attributes: (12/15)\n",
" collection: land-cpm\n",
" contact: [email protected]\n",
" creation_date: 2021-05-11T14:06:27\n",
" domain: uk\n",
" frequency: day\n",
" institution: Met Office Hadley Centre (MOHC), FitzRoy Road, Exeter, D...\n",
" ... ...\n",
" resolution: 2.2km\n",
" scenario: rcp85\n",
" source: UKCP18 realisation from a set of 12 convection-permittin...\n",
" title: UKCP18 land projections - 2.2km convection-permitting cl...\n",
" version: v20210615\n",
" Conventions: CF-1.7"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds = xr.open_dataset(PATH)\n",
"ds"
]
},
{
"cell_type": "markdown",
"id": "2cfe337e-b78c-48e9-a914-c7506d9b9042",
"metadata": {},
"source": [
"## Construct rectilinear target grid"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "2e537e19-dbe6-488a-86c1-c798440213d8",
"metadata": {},
"outputs": [],
"source": [
"#target_grid = xe.util.grid_2d(\n",
"# lon0_b=ds[\"longitude\"].min(),\n",
"# lon1_b=ds[\"longitude\"].max(), \n",
"# d_lon=0.01,\n",
"# lat0_b=ds[\"latitude\"].min(),\n",
"# lat1_b=ds[\"latitude\"].max(),\n",
"# d_lat=0.01\n",
"#)\n",
"\n",
"#target_grid = xe.util.grid_global(0.1, 0.1)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "79c12592-931c-4b7f-8452-01e211d329e6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'lon': array([-14.595209 , -14.585209 , -14.575209 , ..., 6.115265 ,\n",
" 6.125265 , 6.1352654], dtype=float32),\n",
" 'lat': array([47.441093, 47.45109 , 47.46109 , ..., 60.548893, 60.55889 ,\n",
" 60.56889 ], dtype=float32)}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dlon = dlat = 0.01\n",
"\n",
"target_grid = {\n",
" \"lon\": np.arange(ds[\"longitude\"].min(), ds[\"longitude\"].max() + dlon, dlon, dtype=\"float32\"), \n",
" \"lat\": np.arange(ds[\"latitude\"].min(), ds[\"latitude\"].max() + dlat, dlat, \"float32\")\n",
"}\n",
"target_grid"
]
},
{
"cell_type": "markdown",
"id": "b83eb3c6-e135-4eea-8882-be1c6e627898",
"metadata": {},
"source": [
"## Regrid a single timestep and ensemble member"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "2d8112f0-9584-49e4-8fbd-b9552e8c0fa8",
"metadata": {},
"outputs": [],
"source": [
"da = ds[\"tas\"].isel(time=0).isel(ensemble_member=0)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "00581ae8",
"metadata": {},
"outputs": [],
"source": [
"regridder = xe.Regridder(da, target_grid, \"bilinear\")\n",
"da_regridded = regridder(da)"
]
},
{
"cell_type": "markdown",
"id": "e69d6160-391d-4be5-8c80-b0f7c05e5b92",
"metadata": {},
"source": [
"## Plot for visual validation"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "91fe4aa9-466b-41c1-adcb-190e8c5e71eb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x1506b9250>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"da_regridded.plot()"
]
},
{
"cell_type": "markdown",
"id": "a7b65b16-c291-452c-b7c4-ab786c783790",
"metadata": {},
"source": [
"## Write to GeoTIFF using rioxarray"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "160b7c63-3d0b-4ae4-b955-eeca5da3babb",
"metadata": {},
"outputs": [],
"source": [
"da_regridded.rio.write_crs(\"epsg:4326\", inplace=True)\n",
"da_regridded.rio.set_spatial_dims(\"lon\", \"lat\", inplace=True)\n",
"da_regridded.rio.to_raster(\"from-rotated.tif\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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