ESOTC_FWI_over_50.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "documented-month",
   "metadata": {},
   "source": [
    "# Plotting FWI for 2022 for ESOTC"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "encouraging-concord",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Note:</b> If you're running this notebook on ATOS using ecinteractive, make sure that you started it with at least 16 GB ram memory, otherwise it will crash at some point.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "promising-feedback",
   "metadata": {},
   "source": [
    "In this notebook we calculate and plot the diffrence between number of days when FWI>50 in 2022 and mean number in 1991-2022 climatology.  \n",
    "\n",
    "At the moment reading of the data is hardcoded, as the files are in Chris' scratch directory.  \n",
    "\n",
    "First import bunch of stuff:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "manufactured-federation",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import cartopy as cart\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import matplotlib.colors as colors\n",
    "plt.rcParams.update({'font.size': 25})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "mathematical-setting",
   "metadata": {},
   "outputs": [],
   "source": [
    "small = xr.open_mfdataset('/scratch/maca/geff-grib-issue/reg_fwi.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "lonely-mobile",
   "metadata": {},
   "source": [
    "I was running out of memory, so for the first go, I slice it to smaller area.   \n",
    "This is now commented out.  \n",
    "If you don't have enough memory and still want to run this data, replace small with ds in the previous cell and uncomment next cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "worse-utilization",
   "metadata": {},
   "outputs": [],
   "source": [
    "#small = ds.sel(latitude=slice(50,35), longitude=slice(10,30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "expressed-makeup",
   "metadata": {},
   "outputs": [],
   "source": [
    "fwinx = small.fwinx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "vocational-herald",
   "metadata": {},
   "outputs": [],
   "source": [
    "ref_fwi = 50"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quality-entrance",
   "metadata": {},
   "source": [
    "# The calculations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "detected-glucose",
   "metadata": {},
   "source": [
    "First we filter out the time period we want to analyse. Here it is from 1st May 2022 to 30 September 2022."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dependent-blackjack",
   "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",
       "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;\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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;\n",
       "Dimensions:    (latitude: 214, longitude: 302, time: 153)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * time       (time) datetime64[ns] 2022-05-01T12:00:00 ... 2022-09-30T12:00:00\n",
       "Data variables:\n",
       "    fwinx      (time, latitude, longitude) float32 dask.array&lt;chunksize=(153, 214, 302), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2023-01-30 16:22:07 GMT by grib_to_netcdf-2.30.0: grib_to_n...</pre><div class='xr-wrap' hidden><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-0b68bee6-a256-4735-8d56-ff06e4c66673' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0b68bee6-a256-4735-8d56-ff06e4c66673' 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'>latitude</span>: 214</li><li><span class='xr-has-index'>longitude</span>: 302</li><li><span class='xr-has-index'>time</span>: 153</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-31b8df57-4edc-4869-901b-872efee2861e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-31b8df57-4edc-4869-901b-872efee2861e' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-34.88 -34.59 -34.31 ... 49.5 49.78</div><input id='attrs-28b60506-f73f-4671-8c16-18d8e17c2367' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28b60506-f73f-4671-8c16-18d8e17c2367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9970782e-ff85-4e37-ae1b-febdf10a9620' class='xr-var-data-in' type='checkbox'><label for='data-9970782e-ff85-4e37-ae1b-febdf10a9620' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-34.875  , -34.59375, -34.3125 , ...,  49.21875,  49.5    ,  49.78125],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>79.95 79.67 79.39 ... 20.37 20.09</div><input id='attrs-277113b9-e69d-4b62-b407-00919cf04318' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-277113b9-e69d-4b62-b407-00919cf04318' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-462a9b8f-fb1a-4d0c-9864-e6c973bb2271' class='xr-var-data-in' type='checkbox'><label for='data-462a9b8f-fb1a-4d0c-9864-e6c973bb2271' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([79.953064, 79.672035, 79.39101 , ..., 20.655731, 20.3747  , 20.09367 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-05-01T12:00:00 ... 2022-09-...</div><input id='attrs-6cc3cbbe-bfe3-4486-b53b-44fe600b3161' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cc3cbbe-bfe3-4486-b53b-44fe600b3161' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f1386f-8e59-41b5-b045-59e5914b4934' class='xr-var-data-in' type='checkbox'><label for='data-c8f1386f-8e59-41b5-b045-59e5914b4934' 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>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-05-01T12:00:00.000000000&#x27;, &#x27;2022-05-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-03T12:00:00.000000000&#x27;, &#x27;2022-05-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-05T12:00:00.000000000&#x27;, &#x27;2022-05-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-07T12:00:00.000000000&#x27;, &#x27;2022-05-08T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-09T12:00:00.000000000&#x27;, &#x27;2022-05-10T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-11T12:00:00.000000000&#x27;, &#x27;2022-05-12T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-13T12:00:00.000000000&#x27;, &#x27;2022-05-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-15T12:00:00.000000000&#x27;, &#x27;2022-05-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-17T12:00:00.000000000&#x27;, &#x27;2022-05-18T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-19T12:00:00.000000000&#x27;, &#x27;2022-05-20T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-21T12:00:00.000000000&#x27;, &#x27;2022-05-22T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-23T12:00:00.000000000&#x27;, &#x27;2022-05-24T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-25T12:00:00.000000000&#x27;, &#x27;2022-05-26T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-27T12:00:00.000000000&#x27;, &#x27;2022-05-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-29T12:00:00.000000000&#x27;, &#x27;2022-05-30T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-05-31T12:00:00.000000000&#x27;, &#x27;2022-06-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-02T12:00:00.000000000&#x27;, &#x27;2022-06-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-04T12:00:00.000000000&#x27;, &#x27;2022-06-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-06T12:00:00.000000000&#x27;, &#x27;2022-06-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-08T12:00:00.000000000&#x27;, &#x27;2022-06-09T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-10T12:00:00.000000000&#x27;, &#x27;2022-06-11T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-12T12:00:00.000000000&#x27;, &#x27;2022-06-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-14T12:00:00.000000000&#x27;, &#x27;2022-06-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-16T12:00:00.000000000&#x27;, &#x27;2022-06-17T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-18T12:00:00.000000000&#x27;, &#x27;2022-06-19T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-20T12:00:00.000000000&#x27;, &#x27;2022-06-21T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-22T12:00:00.000000000&#x27;, &#x27;2022-06-23T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-24T12:00:00.000000000&#x27;, &#x27;2022-06-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-26T12:00:00.000000000&#x27;, &#x27;2022-06-27T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-28T12:00:00.000000000&#x27;, &#x27;2022-06-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-06-30T12:00:00.000000000&#x27;, &#x27;2022-07-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-02T12:00:00.000000000&#x27;, &#x27;2022-07-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-04T12:00:00.000000000&#x27;, &#x27;2022-07-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-06T12:00:00.000000000&#x27;, &#x27;2022-07-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-08T12:00:00.000000000&#x27;, &#x27;2022-07-09T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-10T12:00:00.000000000&#x27;, &#x27;2022-07-11T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-12T12:00:00.000000000&#x27;, &#x27;2022-07-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-14T12:00:00.000000000&#x27;, &#x27;2022-07-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-16T12:00:00.000000000&#x27;, &#x27;2022-07-17T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-18T12:00:00.000000000&#x27;, &#x27;2022-07-19T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-20T12:00:00.000000000&#x27;, &#x27;2022-07-21T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-22T12:00:00.000000000&#x27;, &#x27;2022-07-23T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-24T12:00:00.000000000&#x27;, &#x27;2022-07-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-26T12:00:00.000000000&#x27;, &#x27;2022-07-27T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-28T12:00:00.000000000&#x27;, &#x27;2022-07-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-30T12:00:00.000000000&#x27;, &#x27;2022-07-31T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-01T12:00:00.000000000&#x27;, &#x27;2022-08-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-03T12:00:00.000000000&#x27;, &#x27;2022-08-04T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-05T12:00:00.000000000&#x27;, &#x27;2022-08-06T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-07T12:00:00.000000000&#x27;, &#x27;2022-08-08T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-09T12:00:00.000000000&#x27;, &#x27;2022-08-10T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-11T12:00:00.000000000&#x27;, &#x27;2022-08-12T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-13T12:00:00.000000000&#x27;, &#x27;2022-08-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-15T12:00:00.000000000&#x27;, &#x27;2022-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-17T12:00:00.000000000&#x27;, &#x27;2022-08-18T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-19T12:00:00.000000000&#x27;, &#x27;2022-08-20T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-21T12:00:00.000000000&#x27;, &#x27;2022-08-22T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-23T12:00:00.000000000&#x27;, &#x27;2022-08-24T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-25T12:00:00.000000000&#x27;, &#x27;2022-08-26T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-27T12:00:00.000000000&#x27;, &#x27;2022-08-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-29T12:00:00.000000000&#x27;, &#x27;2022-08-30T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-08-31T12:00:00.000000000&#x27;, &#x27;2022-09-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-02T12:00:00.000000000&#x27;, &#x27;2022-09-03T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-04T12:00:00.000000000&#x27;, &#x27;2022-09-05T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-06T12:00:00.000000000&#x27;, &#x27;2022-09-07T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-08T12:00:00.000000000&#x27;, &#x27;2022-09-09T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-10T12:00:00.000000000&#x27;, &#x27;2022-09-11T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-12T12:00:00.000000000&#x27;, &#x27;2022-09-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-14T12:00:00.000000000&#x27;, &#x27;2022-09-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-16T12:00:00.000000000&#x27;, &#x27;2022-09-17T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-18T12:00:00.000000000&#x27;, &#x27;2022-09-19T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-20T12:00:00.000000000&#x27;, &#x27;2022-09-21T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-22T12:00:00.000000000&#x27;, &#x27;2022-09-23T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-24T12:00:00.000000000&#x27;, &#x27;2022-09-25T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T12:00:00.000000000&#x27;, &#x27;2022-09-27T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T12:00:00.000000000&#x27;, &#x27;2022-09-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87d0d0ca-70a6-47d2-aa67-e983aac0cdac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87d0d0ca-70a6-47d2-aa67-e983aac0cdac' 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>fwinx</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(153, 214, 302), meta=np.ndarray&gt;</div><input id='attrs-9ad699ef-406a-4e95-aef6-9660bb4e1292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad699ef-406a-4e95-aef6-9660bb4e1292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a9be5b3-bc11-4fc9-848f-66ec4552c4f0' class='xr-var-data-in' type='checkbox'><label for='data-5a9be5b3-bc11-4fc9-848f-66ec4552c4f0' 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>Numeric</dd><dt><span>long_name :</span></dt><dd>Forest fire weather index (as defined by the Canadian Forest Service)</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 39.55 MB </td> <td> 39.55 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (153, 214, 302) </td> <td> (153, 214, 302) </td></tr>\n",
       "    <tr><th> Count </th><td> 3 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"215\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"45\" y2=\"35\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"85\" x2=\"45\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"45\" y1=\"35\" x2=\"45\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 45.76158940397352,35.76158940397352 45.76158940397352,120.79470198675497 10.0,85.03311258278146\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"45\" y1=\"35\" x2=\"165\" y2=\"35\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"45\" y2=\"35\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"165\" y2=\"35\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 165.76158940397352,35.76158940397352 45.76158940397352,35.76158940397352\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"45\" y1=\"35\" x2=\"165\" y2=\"35\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"45\" y1=\"120\" x2=\"165\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"45\" y1=\"35\" x2=\"45\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"165\" y1=\"35\" x2=\"165\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"45.76158940397352,35.76158940397352 165.76158940397352,35.76158940397352 165.76158940397352,120.79470198675497 45.76158940397352,120.79470198675497\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"105.761589\" y=\"140.794702\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >302</text>\n",
       "  <text x=\"185.761589\" y=\"78.278146\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,185.761589,78.278146)\">214</text>\n",
       "  <text x=\"17.880795\" y=\"122.913907\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,17.880795,122.913907)\">153</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a729474-778c-49b9-a28b-40cd93fd0d1a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a729474-778c-49b9-a28b-40cd93fd0d1a' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>2023-01-30 16:22:07 GMT by grib_to_netcdf-2.30.0: grib_to_netcdf reg_fwi_eu.grib -o reg_fwi.nc</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 214, longitude: 302, time: 153)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * time       (time) datetime64[ns] 2022-05-01T12:00:00 ... 2022-09-30T12:00:00\n",
       "Data variables:\n",
       "    fwinx      (time, latitude, longitude) float32 dask.array<chunksize=(153, 214, 302), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    history:      2023-01-30 16:22:07 GMT by grib_to_netcdf-2.30.0: grib_to_n..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_y = small.sel(time=slice('2022-05-01T12:00:00.000000000','2022-09-30T12:00:00.000000000'))\n",
    "last_y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "amino-frontier",
   "metadata": {},
   "source": [
    "Next we calculate the number of days where FWI>50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "concerned-polls",
   "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",
       "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;\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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.DataArray &#x27;fwinx&#x27; (year: 1, latitude: 214, longitude: 302)&gt;\n",
       "dask.array&lt;stack, shape=(1, 214, 302), dtype=int64, chunksize=(1, 214, 302), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * year       (year) int64 2022</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'fwinx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 214</li><li><span class='xr-has-index'>longitude</span>: 302</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9cfc3a4a-fa97-47dd-80fc-22e7cbd9d1c1' class='xr-array-in' type='checkbox' checked><label for='section-9cfc3a4a-fa97-47dd-80fc-22e7cbd9d1c1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 214, 302), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 517.02 kB </td> <td> 517.02 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (1, 214, 302) </td> <td> (1, 214, 302) </td></tr>\n",
       "    <tr><th> Count </th><td> 10 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> int64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"194\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"85\" x2=\"24\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,99.98171053253586 10.0,85.03311258278146\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"99\" x2=\"144\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"99\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,99.98171053253586 24.9485979497544,99.98171053253586\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"119.981711\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >302</text>\n",
       "  <text x=\"164.948598\" y=\"57.465154\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,57.465154)\">214</text>\n",
       "  <text x=\"7.474299\" y=\"112.507412\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,112.507412)\">1</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-c31e3696-46d7-46d4-9230-35860bd6a90e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c31e3696-46d7-46d4-9230-35860bd6a90e' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-34.88 -34.59 -34.31 ... 49.5 49.78</div><input id='attrs-7f8305dc-4c96-4b36-92ce-b0ce52d2fbaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f8305dc-4c96-4b36-92ce-b0ce52d2fbaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07fc8a1a-f6d3-4e0c-8b93-3ebdf7782190' class='xr-var-data-in' type='checkbox'><label for='data-07fc8a1a-f6d3-4e0c-8b93-3ebdf7782190' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-34.875  , -34.59375, -34.3125 , ...,  49.21875,  49.5    ,  49.78125],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>79.95 79.67 79.39 ... 20.37 20.09</div><input id='attrs-c93c06f2-373a-4eaa-9a1d-04c4a07ce153' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c93c06f2-373a-4eaa-9a1d-04c4a07ce153' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70d67790-08e6-4baf-93e1-84e7eb9b4d7a' class='xr-var-data-in' type='checkbox'><label for='data-70d67790-08e6-4baf-93e1-84e7eb9b4d7a' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([79.953064, 79.672035, 79.39101 , ..., 20.655731, 20.3747  , 20.09367 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2022</div><input id='attrs-013d34a4-b011-40f1-b50b-07d70feb2c5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-013d34a4-b011-40f1-b50b-07d70feb2c5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-736d1140-a3a1-4826-ac5a-fd424eb84e9b' class='xr-var-data-in' type='checkbox'><label for='data-736d1140-a3a1-4826-ac5a-fd424eb84e9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2022])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3d0984f-dbf6-4cea-8f0a-07023159d2a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3d0984f-dbf6-4cea-8f0a-07023159d2a7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'fwinx' (year: 1, latitude: 214, longitude: 302)>\n",
       "dask.array<stack, shape=(1, 214, 302), dtype=int64, chunksize=(1, 214, 302), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * year       (year) int64 2022"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fwi_over50_2022 = last_y.fwinx.where(last_y.fwinx>50).groupby('time.year').count(dim='time')\n",
    "fwi_over50_2022"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "attached-business",
   "metadata": {},
   "source": [
    "We need to do the same for the climatological data.  \n",
    "First we filter the May-September period for 1991 and calculate the number of days where FWI>50.  \n",
    "We repeat that for all the years and concatenate all the years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "extreme-forum",
   "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",
       "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;\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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.DataArray &#x27;fwinx&#x27; (year: 30, latitude: 214, longitude: 302)&gt;\n",
       "dask.array&lt;concatenate, shape=(30, 214, 302), dtype=int64, chunksize=(1, 214, 302), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * year       (year) int64 1991 1992 1993 1994 1995 ... 2017 2018 2019 2020</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'fwinx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 30</li><li><span class='xr-has-index'>latitude</span>: 214</li><li><span class='xr-has-index'>longitude</span>: 302</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-af1f8e2c-f05d-44fc-8967-fba005d76d98' class='xr-array-in' type='checkbox' checked><label for='section-af1f8e2c-f05d-44fc-8967-fba005d76d98' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 214, 302), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 15.51 MB </td> <td> 517.02 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (30, 214, 302) </td> <td> (1, 214, 302) </td></tr>\n",
       "    <tr><th> Count </th><td> 706 Tasks </td><td> 30 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> int64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"202\" height=\"157\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"32\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"85\" x2=\"32\" y2=\"107\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"85\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"87\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"13\" y2=\"88\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"14\" y2=\"89\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"15\" y2=\"90\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"16\" y2=\"91\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"18\" y2=\"93\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"19\" y2=\"94\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"20\" y2=\"95\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"21\" y2=\"96\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"22\" y2=\"97\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"23\" y2=\"98\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"100\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"101\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"102\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"28\" y2=\"103\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"104\" />\n",
       "  <line x1=\"31\" y1=\"21\" x2=\"31\" y2=\"106\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"107\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 32.68235633599071,22.68235633599071 32.68235633599071,107.71546891877216 10.0,85.03311258278146\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" />\n",
       "  <line x1=\"12\" y1=\"2\" x2=\"132\" y2=\"2\" />\n",
       "  <line x1=\"13\" y1=\"3\" x2=\"133\" y2=\"3\" />\n",
       "  <line x1=\"14\" y1=\"4\" x2=\"134\" y2=\"4\" />\n",
       "  <line x1=\"15\" y1=\"5\" x2=\"135\" y2=\"5\" />\n",
       "  <line x1=\"16\" y1=\"6\" x2=\"136\" y2=\"6\" />\n",
       "  <line x1=\"18\" y1=\"8\" x2=\"138\" y2=\"8\" />\n",
       "  <line x1=\"19\" y1=\"9\" x2=\"139\" y2=\"9\" />\n",
       "  <line x1=\"20\" y1=\"10\" x2=\"140\" y2=\"10\" />\n",
       "  <line x1=\"21\" y1=\"11\" x2=\"141\" y2=\"11\" />\n",
       "  <line x1=\"22\" y1=\"12\" x2=\"142\" y2=\"12\" />\n",
       "  <line x1=\"23\" y1=\"13\" x2=\"143\" y2=\"13\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" />\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" />\n",
       "  <line x1=\"28\" y1=\"18\" x2=\"148\" y2=\"18\" />\n",
       "  <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" />\n",
       "  <line x1=\"31\" y1=\"21\" x2=\"151\" y2=\"21\" />\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"152\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"32\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"152\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 152.6823563359907,22.68235633599071 32.68235633599071,22.68235633599071\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"152\" y2=\"22\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"32\" y1=\"107\" x2=\"152\" y2=\"107\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"32\" y1=\"22\" x2=\"32\" y2=\"107\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"152\" y1=\"22\" x2=\"152\" y2=\"107\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"32.68235633599071,22.68235633599071 152.6823563359907,22.68235633599071 152.6823563359907,107.71546891877216 32.68235633599071,107.71546891877216\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"92.682356\" y=\"127.715469\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >302</text>\n",
       "  <text x=\"172.682356\" y=\"65.198913\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,172.682356,65.198913)\">214</text>\n",
       "  <text x=\"11.341178\" y=\"116.374291\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,11.341178,116.374291)\">30</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-c9f876fb-12c5-429c-a99a-2c5000c26f14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9f876fb-12c5-429c-a99a-2c5000c26f14' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-34.88 -34.59 -34.31 ... 49.5 49.78</div><input id='attrs-f292823b-290d-43dc-bab7-44e66dccace9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f292823b-290d-43dc-bab7-44e66dccace9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12d5e9ba-04df-4fd5-90d3-7e82cbd3d654' class='xr-var-data-in' type='checkbox'><label for='data-12d5e9ba-04df-4fd5-90d3-7e82cbd3d654' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-34.875  , -34.59375, -34.3125 , ...,  49.21875,  49.5    ,  49.78125],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>79.95 79.67 79.39 ... 20.37 20.09</div><input id='attrs-7e05ce1b-c58a-4ef6-b0d8-4451bef34e24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e05ce1b-c58a-4ef6-b0d8-4451bef34e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbf40dfe-53bb-4c8b-bed5-1232067896f3' class='xr-var-data-in' type='checkbox'><label for='data-cbf40dfe-53bb-4c8b-bed5-1232067896f3' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([79.953064, 79.672035, 79.39101 , ..., 20.655731, 20.3747  , 20.09367 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1991 1992 1993 ... 2018 2019 2020</div><input id='attrs-b2e5fe98-00e3-467a-805d-0754af8161af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2e5fe98-00e3-467a-805d-0754af8161af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96c2bda-3d89-4c9d-86da-ab4348992629' class='xr-var-data-in' type='checkbox'><label for='data-f96c2bda-3d89-4c9d-86da-ab4348992629' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,\n",
       "       2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014,\n",
       "       2015, 2016, 2017, 2018, 2019, 2020])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1fbc2aa-fecb-4bd4-b4aa-7cb258f536d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1fbc2aa-fecb-4bd4-b4aa-7cb258f536d6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'fwinx' (year: 30, latitude: 214, longitude: 302)>\n",
       "dask.array<concatenate, shape=(30, 214, 302), dtype=int64, chunksize=(1, 214, 302), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "  * year       (year) int64 1991 1992 1993 1994 1995 ... 2017 2018 2019 2020"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fwi_data_summer = small.sel(time=slice('1991-05-01', '1991-09-30'))\n",
    "fwi_over50 = fwi_data_summer.fwinx.where(fwi_data_summer.fwinx>50).groupby('time.year').count(dim='time')\n",
    "for year in range(1992,2021):\n",
    "    fwi_data = small.sel(time=slice(f'{year}-05-01', f'{year}-09-30'))\n",
    "    x = fwi_data.fwinx.where(fwi_data.fwinx>50).groupby('time.year').count(dim='time')\n",
    "    fwi_over50 = xr.concat([fwi_over50, x], dim='year')\n",
    "fwi_over50"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "recognized-graham",
   "metadata": {},
   "source": [
    "Now we can calucate average number of days when FWI>50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "alpine-check",
   "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",
       "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;\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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.DataArray &#x27;fwinx&#x27; (latitude: 214, longitude: 302)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(214, 302), dtype=float64, chunksize=(214, 302), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'fwinx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 214</li><li><span class='xr-has-index'>longitude</span>: 302</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a738bc8e-5325-4665-a954-174771a20d24' class='xr-array-in' type='checkbox' checked><label for='section-a738bc8e-5325-4665-a954-174771a20d24' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(214, 302), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 517.02 kB </td> <td> 517.02 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (214, 302) </td> <td> (214, 302) </td></tr>\n",
       "    <tr><th> Count </th><td> 747 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"135\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"85\" x2=\"120\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,85.03311258278146 0.0,85.03311258278146\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"105.033113\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >302</text>\n",
       "  <text x=\"140.000000\" y=\"42.516556\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,42.516556)\">214</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-38cb5112-0066-45eb-81f5-76c65e8db2ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-38cb5112-0066-45eb-81f5-76c65e8db2ce' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-34.88 -34.59 -34.31 ... 49.5 49.78</div><input id='attrs-ca9f5b66-bd12-46a3-b2c1-6dc08b2e0cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca9f5b66-bd12-46a3-b2c1-6dc08b2e0cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4528f7f-f32f-4880-90d3-f28e1de26f9d' class='xr-var-data-in' type='checkbox'><label for='data-e4528f7f-f32f-4880-90d3-f28e1de26f9d' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-34.875  , -34.59375, -34.3125 , ...,  49.21875,  49.5    ,  49.78125],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>79.95 79.67 79.39 ... 20.37 20.09</div><input id='attrs-ce67fa1c-1ae3-4238-8ba9-0a8b765ad535' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce67fa1c-1ae3-4238-8ba9-0a8b765ad535' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f91860-8dc2-469d-b17e-bfd0dc67f940' class='xr-var-data-in' type='checkbox'><label for='data-90f91860-8dc2-469d-b17e-bfd0dc67f940' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([79.953064, 79.672035, 79.39101 , ..., 20.655731, 20.3747  , 20.09367 ],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36e9f7ae-d789-42d1-9190-dc1e3723a3b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36e9f7ae-d789-42d1-9190-dc1e3723a3b3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'fwinx' (latitude: 214, longitude: 302)>\n",
       "dask.array<mean_agg-aggregate, shape=(214, 302), dtype=float64, chunksize=(214, 302), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fwi_over50_mean = fwi_over50.mean(dim='year')\n",
    "fwi_over50_mean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "roman-campbell",
   "metadata": {},
   "source": [
    "And the anomaly is the difference between these two.  \n",
    "The 2022 data has year as dimension, so we need to remove it by selecting it beforwe we can calculate the difference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "environmental-confusion",
   "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",
       "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;\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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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.DataArray &#x27;fwinx&#x27; (latitude: 214, longitude: 302)&gt;\n",
       "dask.array&lt;sub, shape=(214, 302), dtype=float64, chunksize=(214, 302), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "    year       int64 2022</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'fwinx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 214</li><li><span class='xr-has-index'>longitude</span>: 302</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9e723625-f3f2-4eeb-9acc-24437deebc74' class='xr-array-in' type='checkbox' checked><label for='section-9e723625-f3f2-4eeb-9acc-24437deebc74' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(214, 302), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 517.02 kB </td> <td> 517.02 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (214, 302) </td> <td> (214, 302) </td></tr>\n",
       "    <tr><th> Count </th><td> 757 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"135\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"85\" x2=\"120\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"85\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,85.03311258278146 0.0,85.03311258278146\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"105.033113\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >302</text>\n",
       "  <text x=\"140.000000\" y=\"42.516556\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,42.516556)\">214</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-12e690a1-6456-4295-ad13-d5147f36d21d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12e690a1-6456-4295-ad13-d5147f36d21d' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-34.88 -34.59 -34.31 ... 49.5 49.78</div><input id='attrs-27c88744-f9be-411a-8e82-dd2c0bdb4a4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27c88744-f9be-411a-8e82-dd2c0bdb4a4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1dcd5c0-188a-41b5-a5c9-c48157449ade' class='xr-var-data-in' type='checkbox'><label for='data-a1dcd5c0-188a-41b5-a5c9-c48157449ade' 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>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-34.875  , -34.59375, -34.3125 , ...,  49.21875,  49.5    ,  49.78125],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>79.95 79.67 79.39 ... 20.37 20.09</div><input id='attrs-529795ad-4f3b-47ec-9a46-4b2993528da0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-529795ad-4f3b-47ec-9a46-4b2993528da0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66a4d047-5946-4a83-bbcf-c861b246cf24' class='xr-var-data-in' type='checkbox'><label for='data-66a4d047-5946-4a83-bbcf-c861b246cf24' 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>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([79.953064, 79.672035, 79.39101 , ..., 20.655731, 20.3747  , 20.09367 ],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>year</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2022</div><input id='attrs-09e62f97-3d45-454a-b151-d39d606f0bd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09e62f97-3d45-454a-b151-d39d606f0bd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b256416-636d-4fff-a37e-90b9494451f9' class='xr-var-data-in' type='checkbox'><label for='data-6b256416-636d-4fff-a37e-90b9494451f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(2022)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f095ad7-b847-40d3-9dcd-893c58b6d212' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f095ad7-b847-40d3-9dcd-893c58b6d212' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'fwinx' (latitude: 214, longitude: 302)>\n",
       "dask.array<sub, shape=(214, 302), dtype=float64, chunksize=(214, 302), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 -34.88 -34.59 -34.31 ... 49.22 49.5 49.78\n",
       "  * latitude   (latitude) float32 79.95 79.67 79.39 79.11 ... 20.66 20.37 20.09\n",
       "    year       int64 2022"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anom = fwi_over50_2022.sel(year=2022) - fwi_over50_mean\n",
    "anom"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fitting-making",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "optional-budget",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-20-0327036584b4>:2: UserWarning: The default value for the *approx* keyword argument to TransverseMercator will change from True to False after 0.18.\n",
      "  ax = plt.axes(projection=ccrs.TransverseMercator(32))\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10), dpi=100)\n",
    "ax = plt.axes(projection=ccrs.TransverseMercator(32))\n",
    "\n",
    "ax.add_feature(cart.feature.OCEAN, zorder=100, edgecolor='#dc5736', color='white')\n",
    "ax.add_feature(cart.feature.BORDERS, edgecolor='grey', lw=1.5)\n",
    "ax.set_extent ((-15, 40, 34, 70), ccrs.PlateCarree())\n",
    "\n",
    "redblue = ['#135178', '#0a759f', '#3c8db8', '#51c6d7', '#a6d7db', '#fdeaa5', '#fec34d', '#d15d36', '#ad2124', '#772227']\n",
    "# Create the custom colormap\n",
    "my_cmap = (colors.ListedColormap(redblue))\n",
    "my_cmap.set_over('#772227')\n",
    "my_cmap.set_under('#135178')\n",
    "\n",
    "# Specify the number of discrete levels to use in the colormap\n",
    "bounds = [-25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25]\n",
    "norm = colors.BoundaryNorm(bounds, my_cmap.N)\n",
    "\n",
    "# Plot data with contours and shading\n",
    "img = anom.plot.contourf(ax=ax, transform=ccrs.PlateCarree(), cmap=my_cmap, norm=norm, levels=11, extend='both',\n",
    "                         add_colorbar=False, add_labels=False)\n",
    "cbar = plt.colorbar(img, ax=ax, shrink=0.7, ticks=bounds[::2] )\n",
    "cbar.outline.set_visible(False)\n",
    "cbar.ax.tick_params(size=0)\n",
    "\n",
    "#Add coastlines and title, remove black frame\n",
    "ax.coastlines()\n",
    "ax.set_frame_on(False)\n",
    "plt.title(\"Anomaly in the number of days when FWI>50\", fontsize=12, fontweight='bold', y=1.05, color='#742425')\n",
    "plt.tight_layout()\n",
    "plt.savefig('/home/nen/scripts/ESOTC/2022/fwi_anom_europe_v_nowhite.tiff', format='tiff',facecolor='white')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "romantic-specific",
   "metadata": {},
   "source": [
    "And here is the code for the version with white values between -1 and 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "deluxe-stake",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-61ea918e51a6>:2: UserWarning: The default value for the *approx* keyword argument to TransverseMercator will change from True to False after 0.18.\n",
      "  ax = plt.axes(projection=ccrs.TransverseMercator(32))\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10), dpi=100)\n",
    "ax = plt.axes(projection=ccrs.TransverseMercator(32))\n",
    "\n",
    "ax.add_feature(cart.feature.OCEAN, zorder=100, edgecolor='#dc5736', color='white')\n",
    "ax.set_extent ((-10, 50, 34, 70), ccrs.PlateCarree())\n",
    "redblue = ['#135178', '#0a759f', '#3c8db8', '#51c6d7', '#a6d7db','grey', '#fdeaa5', '#fec34d', '#d15d36', '#ad2124', '#772227']\n",
    "# Create the custom colormap\n",
    "my_cmap = (colors.ListedColormap(redblue))\n",
    "my_cmap.set_over('#772227')\n",
    "my_cmap.set_under('#135178')\n",
    "\n",
    "\n",
    "\n",
    "# Specify the number of discrete levels to use in the colormap\n",
    "bounds = [-25, -20, -15, -10, -5, -1, 1, 5, 10, 15, 20, 25]\n",
    "norm = colors.BoundaryNorm(bounds, my_cmap.N)\n",
    "\n",
    "# Plot data with contours and shading\n",
    "img = anom.plot.contourf(ax=ax, transform=ccrs.PlateCarree(), cmap=my_cmap, norm=norm, levels=11, extend='both',\n",
    "                         add_colorbar=False, add_labels=False)\n",
    "cbar = plt.colorbar(img, ax=ax, shrink=0.7, ticks=[-25, -15, -5, 5, 15, 25] )\n",
    "cbar.outline.set_visible(False)\n",
    "cbar.ax.tick_params(size=0)\n",
    "\n",
    "#Add coastlines and title, remove black frame\n",
    "ax.coastlines()\n",
    "ax.set_frame_on(False)\n",
    "plt.title(\"Anomaly in the number of days when FWI>50\", fontsize=14, fontweight='bold', y=1.05, color='#742425')\n",
    "plt.tight_layout()\n",
    "plt.savefig('/home/nen/scripts/ESOTC/2022/fwi_anom_europe_with_white.png',facecolor='white')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}