{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "27b6be13-d0a5-41e1-9479-f1028b01610f",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## MIR: regridding HEALPix GRIB fieldlist"
   ]
  },
  {
   "cell_type": "raw",
   "id": "4cf645d5-c3bb-46a3-afd9-60446adf40ba",
   "metadata": {
    "editable": true,
    "raw_mimetype": "text/restructuredtext",
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "This example shows how to interpolate GRIB data defined on a HEALPix nested grid using the :ref:`mir <mir-regrid-high>` backend. We will also see how to inspect and plot the resulting data and how to convert it to Xarray.\n",
    "\n",
    "To make this notebook work :xref:`earthkit-data` and :xref:`earthkit-plots` have to be installed. The data will be represented as an `earthkit-data GRIB FieldList <https://earthkit-data.readthedocs.io/en/latest/guide/data_format/grib.html>`_."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d978ff-0c55-47d5-983b-829467675af0",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "#### Regridding"
   ]
  },
  {
   "cell_type": "raw",
   "id": "a32d0eef-d903-49d5-b676-1d8cefd3dac3",
   "metadata": {
    "editable": true,
    "raw_mimetype": "text/restructuredtext",
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "We perform the regridding with the :ref:`regrid() <mir-regrid-high>` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c1cff92-971e-4494-b847-b2df7e7ee53c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                                                                                                                                                                                                                  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Config: {\"finite-element-matrix-reorder-cols\":\"healpix-ring-to-nested\"}\n",
      "Config: {\"finite-element-matrix-reorder-cols\":\"healpix-ring-to-nested\"}\n"
     ]
    }
   ],
   "source": [
    "from earthkit.regrid import regrid\n",
    "import earthkit.data as ekd\n",
    "\n",
    "# Get HEALPix nested GRIB data containing two fields.\n",
    "ds = ekd.from_source(\"sample\", \"H8_nested_t2.grib2\")\n",
    "\n",
    "# the target grid is a global 5x5 degree regular latitude-longitude grid\n",
    "grid = {\"grid\": [5,5]}\n",
    "\n",
    "# perform interpolation for each field and add results \n",
    "# to a new fieldlist stored in memory\n",
    "r = regrid(ds, grid=grid, interpolation=\"linear\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8e4e384-0e99-4609-8869-3d5a6783a344",
   "metadata": {},
   "source": [
    "#### Plotting the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "91b54b7a-a8dc-4699-b60b-8923231f451a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x700 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import earthkit.plots as ekp\n",
    "\n",
    "ekp.quickplot(r).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4eee7b1e-fbe3-43d9-b185-867c7d8946aa",
   "metadata": {},
   "source": [
    "#### Converting the results to xarray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8fd12a93-6cf9-4d6e-83e2-0efd9e545a48",
   "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(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\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 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\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",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 44kB\n",
       "Dimensions:    (step: 2, latitude: 37, longitude: 72)\n",
       "Coordinates:\n",
       "  * step       (step) timedelta64[ns] 16B 00:00:00 12:00:00\n",
       "  * latitude   (latitude) float64 296B 90.0 85.0 80.0 75.0 ... -80.0 -85.0 -90.0\n",
       "  * longitude  (longitude) float64 576B 0.0 5.0 10.0 15.0 ... 345.0 350.0 355.0\n",
       "Data variables:\n",
       "    2t         (step, latitude, longitude) float64 43kB ...\n",
       "Attributes:\n",
       "    param:        2t\n",
       "    paramId:      167\n",
       "    class:        od\n",
       "    stream:       oper\n",
       "    levtype:      sfc\n",
       "    type:         fc\n",
       "    expver:       0001\n",
       "    date:         20240323\n",
       "    time:         1200\n",
       "    domain:       g\n",
       "    Conventions:  CF-1.8\n",
       "    institution:  ECMWF</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-073c8db2-477d-47d5-9b02-fedb7b86be70' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-073c8db2-477d-47d5-9b02-fedb7b86be70' 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'>step</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 37</li><li><span class='xr-has-index'>longitude</span>: 72</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b791c73e-696a-4434-9ec0-7f5cab18ffc2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b791c73e-696a-4434-9ec0-7f5cab18ffc2' 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'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 12:00:00</div><input id='attrs-b36fee32-d086-4ced-830b-443ae2ae3865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b36fee32-d086-4ced-830b-443ae2ae3865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a70f542e-73af-4bd6-bf36-bd3e48d15a0b' class='xr-var-data-in' type='checkbox'><label for='data-a70f542e-73af-4bd6-bf36-bd3e48d15a0b' 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>forecast_period</dd><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([             0, 43200000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 85.0 80.0 ... -85.0 -90.0</div><input id='attrs-d0a1d126-0f93-44c8-99cc-6fc36fb7dbc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0a1d126-0f93-44c8-99cc-6fc36fb7dbc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f4a9e84-f6d3-4fbe-a602-ba3cbb74ec2a' class='xr-var-data-in' type='checkbox'><label for='data-1f4a9e84-f6d3-4fbe-a602-ba3cbb74ec2a' 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><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 90.,  85.,  80.,  75.,  70.,  65.,  60.,  55.,  50.,  45.,  40.,  35.,\n",
       "        30.,  25.,  20.,  15.,  10.,   5.,   0.,  -5., -10., -15., -20., -25.,\n",
       "       -30., -35., -40., -45., -50., -55., -60., -65., -70., -75., -80., -85.,\n",
       "       -90.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 5.0 10.0 ... 345.0 350.0 355.0</div><input id='attrs-9e779882-1f07-47e5-93b3-ef1dd56f920c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e779882-1f07-47e5-93b3-ef1dd56f920c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38ab411e-32b8-4e6c-8791-7a5487a6f776' class='xr-var-data-in' type='checkbox'><label for='data-38ab411e-32b8-4e6c-8791-7a5487a6f776' 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><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   5.,  10.,  15.,  20.,  25.,  30.,  35.,  40.,  45.,  50.,  55.,\n",
       "        60.,  65.,  70.,  75.,  80.,  85.,  90.,  95., 100., 105., 110., 115.,\n",
       "       120., 125., 130., 135., 140., 145., 150., 155., 160., 165., 170., 175.,\n",
       "       180., 185., 190., 195., 200., 205., 210., 215., 220., 225., 230., 235.,\n",
       "       240., 245., 250., 255., 260., 265., 270., 275., 280., 285., 290., 295.,\n",
       "       300., 305., 310., 315., 320., 325., 330., 335., 340., 345., 350., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2e9262a-a7f9-49ba-b665-e407c2919e73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f2e9262a-a7f9-49ba-b665-e407c2919e73' class='xr-section-summary' >Data variables: <span>(1)</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>2t</span></div><div class='xr-var-dims'>(step, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23b72bd8-632b-4037-bf51-e3537a930d64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23b72bd8-632b-4037-bf51-e3537a930d64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-384bec76-d014-4ce6-ae93-bc503e292c15' class='xr-var-data-in' type='checkbox'><label for='data-384bec76-d014-4ce6-ae93-bc503e292c15' 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>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>_earthkit :</span></dt><dd>{&#x27;message&#x27;: b&#x27;GRIB\\xff\\xff\\x00\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xc4\\x00\\x00\\x00\\x15\\x01\\x00b\\x00\\x00 \\x00\\x01\\x07\\xe8\\x03\\x17\\x0c\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x11\\x02\\x00\\x01\\x00\\x01\\x00\\t\\x04\\x010001\\x00\\x00\\x00H\\x03\\x00\\x00\\x00\\nh\\x00\\x00\\x00\\x00\\x06\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x00\\x00\\x00H\\x00\\x00\\x00%\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\x05]J\\x80\\x00\\x00\\x00\\x000\\x85]J\\x80\\x15(\\xde\\xc0\\x00LK@\\x00LK@\\x00\\x00\\x00\\x00&quot;\\x04\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xff\\x9a\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x00g\\x00\\x00\\x00\\x00\\x02\\xff\\xff\\xff\\xff\\xff\\xff\\x00\\x00\\x00\\x15\\x05\\x00\\x00\\nh\\x00\\x00C\\x88\\x80\\x00\\x80\\n\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x06\\x06\\xff\\x00\\x00\\x00\\x05\\x077777&#x27;, &#x27;bitsPerValue&#x27;: 24}</dd></dl></div><div class='xr-var-data'><pre>[5328 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-560f5e9f-c53b-4656-8bc1-f8881a45a852' class='xr-section-summary-in' type='checkbox'  ><label for='section-560f5e9f-c53b-4656-8bc1-f8881a45a852' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-78bd00b7-0eea-487a-9d28-24d29f6f5099' class='xr-index-data-in' type='checkbox'/><label for='index-78bd00b7-0eea-487a-9d28-24d29f6f5099' 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(TimedeltaIndex([&#x27;0 days 00:00:00&#x27;, &#x27;0 days 12:00:00&#x27;], dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5acf8139-d41a-49ee-8188-dfc294828b23' class='xr-index-data-in' type='checkbox'/><label for='index-5acf8139-d41a-49ee-8188-dfc294828b23' 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([ 90.0,  85.0,  80.0,  75.0,  70.0,  65.0,  60.0,  55.0,  50.0,  45.0,\n",
       "        40.0,  35.0,  30.0,  25.0,  20.0,  15.0,  10.0,   5.0,   0.0,  -5.0,\n",
       "       -10.0, -15.0, -20.0, -25.0, -30.0, -35.0, -40.0, -45.0, -50.0, -55.0,\n",
       "       -60.0, -65.0, -70.0, -75.0, -80.0, -85.0, -90.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-57bee4ff-fd82-4063-8347-afc0ee0e71cf' class='xr-index-data-in' type='checkbox'/><label for='index-57bee4ff-fd82-4063-8347-afc0ee0e71cf' 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([  0.0,   5.0,  10.0,  15.0,  20.0,  25.0,  30.0,  35.0,  40.0,  45.0,\n",
       "        50.0,  55.0,  60.0,  65.0,  70.0,  75.0,  80.0,  85.0,  90.0,  95.0,\n",
       "       100.0, 105.0, 110.0, 115.0, 120.0, 125.0, 130.0, 135.0, 140.0, 145.0,\n",
       "       150.0, 155.0, 160.0, 165.0, 170.0, 175.0, 180.0, 185.0, 190.0, 195.0,\n",
       "       200.0, 205.0, 210.0, 215.0, 220.0, 225.0, 230.0, 235.0, 240.0, 245.0,\n",
       "       250.0, 255.0, 260.0, 265.0, 270.0, 275.0, 280.0, 285.0, 290.0, 295.0,\n",
       "       300.0, 305.0, 310.0, 315.0, 320.0, 325.0, 330.0, 335.0, 340.0, 345.0,\n",
       "       350.0, 355.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbfd0b43-280a-4e25-b251-16ee2243a845' class='xr-section-summary-in' type='checkbox'  ><label for='section-bbfd0b43-280a-4e25-b251-16ee2243a845' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>param :</span></dt><dd>2t</dd><dt><span>paramId :</span></dt><dd>167</dd><dt><span>class :</span></dt><dd>od</dd><dt><span>stream :</span></dt><dd>oper</dd><dt><span>levtype :</span></dt><dd>sfc</dd><dt><span>type :</span></dt><dd>fc</dd><dt><span>expver :</span></dt><dd>0001</dd><dt><span>date :</span></dt><dd>20240323</dd><dt><span>time :</span></dt><dd>1200</dd><dt><span>domain :</span></dt><dd>g</dd><dt><span>Conventions :</span></dt><dd>CF-1.8</dd><dt><span>institution :</span></dt><dd>ECMWF</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 44kB\n",
       "Dimensions:    (step: 2, latitude: 37, longitude: 72)\n",
       "Coordinates:\n",
       "  * step       (step) timedelta64[ns] 16B 00:00:00 12:00:00\n",
       "  * latitude   (latitude) float64 296B 90.0 85.0 80.0 75.0 ... -80.0 -85.0 -90.0\n",
       "  * longitude  (longitude) float64 576B 0.0 5.0 10.0 15.0 ... 345.0 350.0 355.0\n",
       "Data variables:\n",
       "    2t         (step, latitude, longitude) float64 43kB ...\n",
       "Attributes:\n",
       "    param:        2t\n",
       "    paramId:      167\n",
       "    class:        od\n",
       "    stream:       oper\n",
       "    levtype:      sfc\n",
       "    type:         fc\n",
       "    expver:       0001\n",
       "    date:         20240323\n",
       "    time:         1200\n",
       "    domain:       g\n",
       "    Conventions:  CF-1.8\n",
       "    institution:  ECMWF"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.to_xarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a6380b4-03b6-497f-b1d2-e36860830830",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "#### Writing the results to disk"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b206f6d-7a17-4128-818d-f12262d8f5ed",
   "metadata": {},
   "source": [
    "Write the resulting fieldlist to disk:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9c6b8bb6-a734-4930-b322-7c362c915a51",
   "metadata": {},
   "outputs": [],
   "source": [
    "out_file = \"_res_H8_nested_to_5x5.grib\"\n",
    "r.to_target(\"file\", out_file)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "mir",
   "language": "python",
   "name": "mir"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}