Skip to content

Instantly share code, notes, and snippets.

@j08lue

j08lue/rotated-pole-to-regular-lat-lon-xesmf-with-cleanup.ipynb

Created September 4, 2024 21:02
Show Gist options
  • Save j08lue/4952ff9f4a5eb148d198903076664d32 to your computer and use it in GitHub Desktop.
Save j08lue/4952ff9f4a5eb148d198903076664d32 to your computer and use it in GitHub Desktop.
Download ZIP
Reprojecting UKCP 2.2km dataset from rotated pole to regular lat/lon grid using Xarray and xESMF and produce a tidy target NetCDF
Display the source blob
Display the rendered blob
Raw
rotated-pole-to-regular-lat-lon-xesmf-with-cleanup.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "5fd4b45d",
"metadata": {},
"outputs": [],
"source": [
"import datetime\n",
"\n",
"import xarray as xr\n",
"import xesmf as xe\n",
"import numpy as np\n",
"import rioxarray"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "be130b68-01da-4e67-ab20-66ee49539a72",
"metadata": {},
"outputs": [],
"source": [
"PATH = \"tas_rcp85_land-cpm_uk_2.2km_01_day_19801201-19811130.nc\""
]
},
{
"cell_type": "markdown",
"id": "3a6d6399-19e5-4dad-a795-331ce8ac3562",
"metadata": {},
"source": [
"## Open a UKCP 2.2km dataset with rotated pole curvilinear lat/lon grid"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "928e6e12",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
"<defs>\n",
"<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
"<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
"</symbol>\n",
"<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
"<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
"<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
"</symbol>\n",
"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"html[data-theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
"}\n",
"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
"}\n",
"\n",
".xr-text-repr-fallback {\n",
" /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
" display: none;\n",
"}\n",
"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-obj-type,\n",
".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
"}\n",
"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
"}\n",
"\n",
".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
"}\n",
"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
" content: '►';\n",
" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
"}\n",
"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
"}\n",
"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
"}\n",
"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
"}\n",
"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
"}\n",
"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
"}\n",
"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
"}\n",
"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 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-c0285f0c-eb56-40fa-bc52-f20a4291577a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0285f0c-eb56-40fa-bc52-f20a4291577a' 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-021d075f-2d89-4cbf-b8ba-cb6537414300' class='xr-section-summary-in' type='checkbox' checked><label for='section-021d075f-2d89-4cbf-b8ba-cb6537414300' 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-cc234547-a3e4-4bf6-928d-8da73607a8a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc234547-a3e4-4bf6-928d-8da73607a8a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-379f94ba-018f-48ab-ad06-89b27f27b88a' class='xr-var-data-in' type='checkbox'><label for='data-379f94ba-018f-48ab-ad06-89b27f27b88a' 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-cf7800dc-3093-41bd-b2e5-22798d7329f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf7800dc-3093-41bd-b2e5-22798d7329f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7a641b7-43e1-40be-b27d-55c2ef5d7ce1' class='xr-var-data-in' type='checkbox'><label for='data-d7a641b7-43e1-40be-b27d-55c2ef5d7ce1' 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-056c14fc-87a7-4f29-801b-33be25a571e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-056c14fc-87a7-4f29-801b-33be25a571e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69a06775-713b-413f-b5d6-2b28dd3bc0c7' class='xr-var-data-in' type='checkbox'><label for='data-69a06775-713b-413f-b5d6-2b28dd3bc0c7' 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-90cc8f34-271b-4b9e-a4a0-9eb856667581' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90cc8f34-271b-4b9e-a4a0-9eb856667581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-022baca5-df5d-4d86-8986-b59d864df207' class='xr-var-data-in' type='checkbox'><label for='data-022baca5-df5d-4d86-8986-b59d864df207' 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-372f1660-0dd1-486f-9e16-d65114a3d761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-372f1660-0dd1-486f-9e16-d65114a3d761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ea3058f-10ef-4a26-b2d8-3ba844023a83' class='xr-var-data-in' type='checkbox'><label for='data-1ea3058f-10ef-4a26-b2d8-3ba844023a83' 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-8df40880-7625-4786-970e-298e7d20208c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df40880-7625-4786-970e-298e7d20208c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12ab1333-a164-456c-a3d2-8902b4a38efa' class='xr-var-data-in' type='checkbox'><label for='data-12ab1333-a164-456c-a3d2-8902b4a38efa' 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-aa603d35-ec17-43b3-a046-5dfd422f22b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa603d35-ec17-43b3-a046-5dfd422f22b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87a1ed46-c249-4d87-be4f-3803b2a4b312' class='xr-var-data-in' type='checkbox'><label for='data-87a1ed46-c249-4d87-be4f-3803b2a4b312' 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-00a8ed2a-9417-435f-bba3-cd4bd7138420' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a8ed2a-9417-435f-bba3-cd4bd7138420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cebbebe-6722-437d-852b-903561cd6728' class='xr-var-data-in' type='checkbox'><label for='data-3cebbebe-6722-437d-852b-903561cd6728' 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-35978cb7-0d63-4f93-9323-5662cfb5397f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35978cb7-0d63-4f93-9323-5662cfb5397f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f3d4b7-9598-41cf-8a41-8483ec389581' class='xr-var-data-in' type='checkbox'><label for='data-97f3d4b7-9598-41cf-8a41-8483ec389581' 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-cc7cd81b-ca29-4640-a4a1-c4949fae8954' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc7cd81b-ca29-4640-a4a1-c4949fae8954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1968babf-35a0-49e8-980c-a8b9240d3456' class='xr-var-data-in' type='checkbox'><label for='data-1968babf-35a0-49e8-980c-a8b9240d3456' 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-3fbb8a06-6065-4483-8257-f8f1a04b0827' class='xr-section-summary-in' type='checkbox' checked><label for='section-3fbb8a06-6065-4483-8257-f8f1a04b0827' 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-6c02f88b-d287-49c6-a208-32fc04c6c5f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c02f88b-d287-49c6-a208-32fc04c6c5f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60b269cc-4400-4fb0-b15c-70d172cf7bbd' class='xr-var-data-in' type='checkbox'><label for='data-60b269cc-4400-4fb0-b15c-70d172cf7bbd' 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-cfb5cd53-5eda-4250-8a1e-c089b7881201' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfb5cd53-5eda-4250-8a1e-c089b7881201' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8c71400-5547-47ad-a5a9-8ab4faba28db' class='xr-var-data-in' type='checkbox'><label for='data-a8c71400-5547-47ad-a5a9-8ab4faba28db' 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-fce331bf-f2ab-4f50-b2ac-3caa5e53477c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fce331bf-f2ab-4f50-b2ac-3caa5e53477c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bcac7b4-767c-45bb-aab6-4cf4a9e9a59f' class='xr-var-data-in' type='checkbox'><label for='data-8bcac7b4-767c-45bb-aab6-4cf4a9e9a59f' 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-225fb1d1-0f14-4147-bc59-32e0c758cd77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-225fb1d1-0f14-4147-bc59-32e0c758cd77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb7f581-8235-4ddc-b4fa-134d8838941f' class='xr-var-data-in' type='checkbox'><label for='data-0eb7f581-8235-4ddc-b4fa-134d8838941f' 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-9f035111-6bda-41eb-94f9-8edf70f5f4dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f035111-6bda-41eb-94f9-8edf70f5f4dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc51679e-972a-4aac-994e-45de258706a2' class='xr-var-data-in' type='checkbox'><label for='data-fc51679e-972a-4aac-994e-45de258706a2' 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-e4e32b2a-5a55-4b71-ad76-67689d8d0020' class='xr-section-summary-in' type='checkbox' ><label for='section-e4e32b2a-5a55-4b71-ad76-67689d8d0020' 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-f1a45fb3-ee02-4020-bb98-f4967e82a240' class='xr-index-data-in' type='checkbox'/><label for='index-f1a45fb3-ee02-4020-bb98-f4967e82a240' 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-b47ee0ac-ca9b-4150-bf4b-0e58d172acbf' class='xr-index-data-in' type='checkbox'/><label for='index-b47ee0ac-ca9b-4150-bf4b-0e58d172acbf' 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-7d7e898a-d6ab-400e-935c-b60b5c99ac6f' class='xr-index-data-in' type='checkbox'/><label for='index-7d7e898a-d6ab-400e-935c-b60b5c99ac6f' 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-e023389f-01ee-4f98-b50c-1c09a1ce2d94' class='xr-index-data-in' type='checkbox'/><label for='index-e023389f-01ee-4f98-b50c-1c09a1ce2d94' 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-8d40198f-ab3c-4b72-afd2-294571d7518e' class='xr-section-summary-in' type='checkbox' ><label for='section-8d40198f-ab3c-4b72-afd2-294571d7518e' 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": "67b6f2e5-117e-40c8-8323-4d08fcf0a91e",
"metadata": {},
"source": [
"## Clean up singular dimensions and superfluous coordinates"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "cdd65898-703b-417d-b24a-dfca653f7947",
"metadata": {},
"outputs": [],
"source": [
"if len(np.atleast_1d(ds[\"ensemble_member\"])) == 1:\n",
" ds = ds.isel(ensemble_member=0)\n",
" ds.attrs[\"ensemble_member_id\"] = ds[\"tas\"].coords[\"ensemble_member_id\"].values[()].decode('UTF-8')\n",
" ds = ds.drop_vars(\"ensemble_member\")\n",
" ds = ds.drop_vars(\"ensemble_member_id\")\n",
"ds = ds.drop_vars((\"year\", \"month_number\", \"yyyymmdd\"))"
]
},
{
"cell_type": "markdown",
"id": "2cfe337e-b78c-48e9-a914-c7506d9b9042",
"metadata": {},
"source": [
"## Construct rectilinear target grid"
]
},
{
"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"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4217e2d4-8328-4012-8180-00b4eaef8bef",
"metadata": {},
"outputs": [],
"source": [
"regrid_method = \"bilinear\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "77de8683-8dd5-494b-8997-c15fdf6dad7e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 26.1 s, sys: 11.4 s, total: 37.6 s\n",
"Wall time: 1min 57s\n"
]
}
],
"source": [
"%%time\n",
"regridder = xe.Regridder(ds, target_grid, regrid_method, unmapped_to_nan=True)\n",
"ds_regridded = regridder(ds)\n",
"regrid_operation_description = f\"{datetime.datetime.now(datetime.UTC).isoformat()}: Regridded to {dlat, dlon} degree rectilinear grid with xESMF '{regrid_method}' regridding\""
]
},
{
"cell_type": "markdown",
"id": "1992b06f-dc60-4ac4-b3a8-92774c100905",
"metadata": {},
"source": [
"## Copy attributes from original dataset"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "14b3d798-57fc-46b8-9497-1024e4cfc2e8",
"metadata": {},
"outputs": [],
"source": [
"for key in ds[\"tas\"].attrs:\n",
" if key not in [\"grid_mapping\"]:\n",
" ds_regridded[\"tas\"].attrs[key] = ds[\"tas\"].attrs[key]\n",
"ds_regridded.attrs.update(ds.attrs)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "93cf3518-4da6-4b5e-9b4d-72ce5ea01cdd",
"metadata": {},
"outputs": [],
"source": [
"if \"history\" in ds_regridded.attrs:\n",
" ds_regridded.attrs[\"history\"] = ds_regridded.attrs[\"history\"] + \"\\n\" + regrid_operation_description\n",
"else:\n",
" ds_regridded.attrs[\"history\"] = regrid_operation_description"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "e39f1513-dc5e-45e9-81f5-3a83f3763fc7",
"metadata": {},
"outputs": [],
"source": [
"ds_regridded.to_netcdf(\"from-rotated.nc\", format=\"NETCDF4\", encoding={\"tas\": {\"zlib\": True, \"complevel\": 9}})"
]
},
{
"cell_type": "markdown",
"id": "e69d6160-391d-4be5-8c80-b0f7c05e5b92",
"metadata": {},
"source": [
"## Plot for visual validation"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "a4c43a05-3b71-4b2a-a7b3-a989091da8f3",
"metadata": {},
"outputs": [],
"source": [
"da_regridded = ds_regridded[\"tas\"].isel(time=0)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "d4e9c334-db7f-47c1-922d-5a21a3f40362",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x1490e9ac0>"
]
},
"execution_count": 12,
"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": 13,
"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
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment