Climate_Geospatial_Analysis_on_Python_with_Xarray_.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyOU7B6RQcOBD1QtBaMxe+4J",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mousam1995/Climate-Geospatial-Analysis-on-Python-with-Xarray/blob/main/Climate_Geospatial_Analysis_on_Python_with_Xarray_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uE3dHvoYdk-6"
      },
      "outputs": [],
      "source": [
        "#Load and Open NetCDF Data \n",
        "import xarray as xr\n",
        "data_amazon=xr.open_dataset('/content/data (1).nc')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_amazon"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "Q980z4Bmz_9w",
        "outputId": "a5193a4d-4db7-48f1-b33b-5efd9dfed90c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:    (longitude: 142, latitude: 89, expver: 2, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 ...\n",
              "    skt        (time, expver, latitude, longitude) float32 ...\n",
              "    tp         (time, expver, latitude, longitude) float32 ...\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:    (longitude: 142, latitude: 89, expver: 2, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 ...\n",
              "    skt        (time, expver, latitude, longitude) float32 ...\n",
              "    tp         (time, expver, latitude, longitude) float32 ...\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f946981-2443-4bd8-8200-1c5d41d58631' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f946981-2443-4bd8-8200-1c5d41d58631' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>expver</span>: 2</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3ec6a44c-b3f3-4d65-a0d0-5e27571b6d21' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ec6a44c-b3f3-4d65-a0d0-5e27571b6d21' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-0a13d8de-2bf3-482a-893c-47bb35012921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a13d8de-2bf3-482a-893c-47bb35012921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ec2f083-0dc2-4d54-8b54-d54ad5b8adc0' class='xr-var-data-in' type='checkbox'><label for='data-8ec2f083-0dc2-4d54-8b54-d54ad5b8adc0' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-1cc2649a-e398-4460-a068-3e76ad5f5aca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cc2649a-e398-4460-a068-3e76ad5f5aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f25cb613-8be6-424d-9f53-41d47596a0d5' class='xr-var-data-in' type='checkbox'><label for='data-f25cb613-8be6-424d-9f53-41d47596a0d5' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>expver</span></div><div class='xr-var-dims'>(expver)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 5</div><input id='attrs-aaca5a11-aa8d-4514-b37a-5d628d46d7e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaca5a11-aa8d-4514-b37a-5d628d46d7e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c540b77-3b70-4a1d-acb8-f9df2b083e5d' class='xr-var-data-in' type='checkbox'><label for='data-0c540b77-3b70-4a1d-acb8-f9df2b083e5d' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array([1, 5], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-ec8f046a-e24e-49ef-b34a-09e4555a4e0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec8f046a-e24e-49ef-b34a-09e4555a4e0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d25ea8e0-b802-4797-ae33-7fb8f1573f4f' class='xr-var-data-in' type='checkbox'><label for='data-d25ea8e0-b802-4797-ae33-7fb8f1573f4f' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-504be5d6-5672-4a84-88ec-1455f8ada78c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-504be5d6-5672-4a84-88ec-1455f8ada78c' class='xr-section-summary' >Data variables: <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>lai_hv</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5cb6c90-5ab3-4956-a5ae-262581d4b6c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5cb6c90-5ab3-4956-a5ae-262581d4b6c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df674edc-7083-453c-829d-b18187ffe52a' class='xr-var-data-in' type='checkbox'><label for='data-df674edc-7083-453c-829d-b18187ffe52a' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54d7265c-ec2e-4c86-acc2-6f4d256df6ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54d7265c-ec2e-4c86-acc2-6f4d256df6ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f75bab4a-e054-4cf6-a8e2-78e559d74577' class='xr-var-data-in' type='checkbox'><label for='data-f75bab4a-e054-4cf6-a8e2-78e559d74577' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9024a9af-a9ab-4e09-80ab-98ea2be5bec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9024a9af-a9ab-4e09-80ab-98ea2be5bec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7f84263-c7e8-469f-b592-4b72c4cbf4d8' class='xr-var-data-in' type='checkbox'><label for='data-f7f84263-c7e8-469f-b592-4b72c4cbf4d8' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>[12638000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd84f4cd-1e40-4da9-b367-622807175b06' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd84f4cd-1e40-4da9-b367-622807175b06' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Using nearest method to find out data related to multiple latitude and longitude\n",
        "data_amazon.sel(latitude=[-32,-19],longitude=[-53,-67],method='nearest')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "aA99Hy1R0BnN",
        "outputId": "539984ea-b860-412a-fad7-b16798aa05ab"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:    (longitude: 2, latitude: 2, expver: 2, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -53.0 -67.0\n",
              "  * latitude   (latitude) float32 -16.0 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 ...\n",
              "    skt        (time, expver, latitude, longitude) float32 ...\n",
              "    tp         (time, expver, latitude, longitude) float32 ...\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:    (longitude: 2, latitude: 2, expver: 2, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -53.0 -67.0\n",
              "  * latitude   (latitude) float32 -16.0 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 2.012 4.997 ... 5.743\n",
              "    skt        (time, expver, latitude, longitude) float32 297.5 292.5 ... 290.2\n",
              "    tp         (time, expver, latitude, longitude) float32 0.01256 ... 0.005245\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a03fd232-b695-4059-b991-b39b5763e671' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a03fd232-b695-4059-b991-b39b5763e671' 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'>longitude</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 2</li><li><span class='xr-has-index'>expver</span>: 2</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3905af71-b076-4a55-96e9-693c6f91d2a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3905af71-b076-4a55-96e9-693c6f91d2a9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-53.0 -67.0</div><input id='attrs-8a517cec-204d-4e34-a27f-5b6750a5ff64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a517cec-204d-4e34-a27f-5b6750a5ff64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9db8b6ac-bf78-4dae-b7b3-e3d2a0a24c31' class='xr-var-data-in' type='checkbox'><label for='data-9db8b6ac-bf78-4dae-b7b3-e3d2a0a24c31' 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([-53., -67.], 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'>-16.0 -16.0</div><input id='attrs-e084c81e-b43d-4abe-b175-50a23545aabe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e084c81e-b43d-4abe-b175-50a23545aabe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b0d6295-71ba-4ecb-8803-441abfa7ba7e' class='xr-var-data-in' type='checkbox'><label for='data-6b0d6295-71ba-4ecb-8803-441abfa7ba7e' 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([-16., -16.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>expver</span></div><div class='xr-var-dims'>(expver)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 5</div><input id='attrs-82814fe3-44a0-41db-8090-1df8912e1986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82814fe3-44a0-41db-8090-1df8912e1986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da772b4c-90e7-408b-9e0e-227a959502c3' class='xr-var-data-in' type='checkbox'><label for='data-da772b4c-90e7-408b-9e0e-227a959502c3' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array([1, 5], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-9a894bf2-3ba0-4b57-934f-b91fd9a396b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a894bf2-3ba0-4b57-934f-b91fd9a396b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f1168e9-fbe7-4176-976e-d55a19f6de44' class='xr-var-data-in' type='checkbox'><label for='data-0f1168e9-fbe7-4176-976e-d55a19f6de44' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52462d18-7417-4ef9-9f1d-b0668304c908' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52462d18-7417-4ef9-9f1d-b0668304c908' class='xr-section-summary' >Data variables: <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>lai_hv</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f248f38f-e8b9-4f55-8a3b-2e4addfc4ae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f248f38f-e8b9-4f55-8a3b-2e4addfc4ae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e81f27ba-376e-4398-8303-c77c3d363c69' class='xr-var-data-in' type='checkbox'><label for='data-e81f27ba-376e-4398-8303-c77c3d363c69' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.01205 , 4.997041],\n",
              "         [2.01205 , 4.997041]],\n",
              "\n",
              "        [[     nan,      nan],\n",
              "         [     nan,      nan]]],\n",
              "\n",
              "\n",
              "       ...,\n",
              "\n",
              "\n",
              "       [[[     nan,      nan],\n",
              "         [     nan,      nan]],\n",
              "\n",
              "        [[1.621208, 5.742937],\n",
              "         [1.621208, 5.742937]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ea926e9-2e05-4b06-b4ba-95f3bf56dc4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ea926e9-2e05-4b06-b4ba-95f3bf56dc4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38441f40-72b8-431b-a051-249961c3bc3e' class='xr-var-data-in' type='checkbox'><label for='data-38441f40-72b8-431b-a051-249961c3bc3e' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[297.4732, 292.5276],\n",
              "         [297.4732, 292.5276]],\n",
              "\n",
              "        [[     nan,      nan],\n",
              "         [     nan,      nan]]],\n",
              "\n",
              "\n",
              "       ...,\n",
              "\n",
              "\n",
              "       [[[     nan,      nan],\n",
              "         [     nan,      nan]],\n",
              "\n",
              "        [[299.1968, 290.1806],\n",
              "         [299.1968, 290.1806]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1bdc4b5f-43eb-4eb3-8c23-2348d1768d14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bdc4b5f-43eb-4eb3-8c23-2348d1768d14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77c201e9-e239-4f56-b149-de0c5a4d05a2' class='xr-var-data-in' type='checkbox'><label for='data-77c201e9-e239-4f56-b149-de0c5a4d05a2' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.012561, 0.008067],\n",
              "         [0.012561, 0.008067]],\n",
              "\n",
              "        [[     nan,      nan],\n",
              "         [     nan,      nan]]],\n",
              "\n",
              "\n",
              "       ...,\n",
              "\n",
              "\n",
              "       [[[     nan,      nan],\n",
              "         [     nan,      nan]],\n",
              "\n",
              "        [[0.      , 0.005245],\n",
              "         [0.      , 0.005245]]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b05db3df-f5a5-4afd-b33c-af81edc34d96' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b05db3df-f5a5-4afd-b33c-af81edc34d96' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#For a plcae where longitude is less than -72 and latitude greater than -20\n",
        "\n",
        "QUERY=data_amazon.longitude<-72\n",
        "QUERY=QUERY & (data_amazon.latitude>-20)\n",
        "data_amazon.where(QUERY,drop=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "kg6ohJzf0eXz",
        "outputId": "9cbdc6c4-d362-48d3-b83c-01d15d50ddd3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:    (time: 500, expver: 2, latitude: 89, longitude: 40)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -72.75 -72.5 -72.25\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 0.0 0.0 ... 2.599 0.0\n",
              "    skt        (time, expver, latitude, longitude) float32 300.7 300.6 ... 290.8\n",
              "    tp         (time, expver, latitude, longitude) float32 0.0004338 ... 0.0\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:    (time: 500, expver: 2, latitude: 89, longitude: 40)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -72.75 -72.5 -72.25\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * expver     (expver) int32 1 5\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, expver, latitude, longitude) float32 0.0 0.0 ... 2.599 0.0\n",
              "    skt        (time, expver, latitude, longitude) float32 300.7 300.6 ... 290.8\n",
              "    tp         (time, expver, latitude, longitude) float32 0.0004338 ... 0.0\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9ac28332-3f93-47f2-b25d-386e1dd28792' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ac28332-3f93-47f2-b25d-386e1dd28792' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 500</li><li><span class='xr-has-index'>expver</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>longitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1113e3ce-2c52-4ef6-8119-7ee2f3a41358' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1113e3ce-2c52-4ef6-8119-7ee2f3a41358' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -72.5 -72.25</div><input id='attrs-08d50928-163f-403d-99e9-be3330ef376b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08d50928-163f-403d-99e9-be3330ef376b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b41d4cad-b8f0-400b-841c-f54f84e27450' class='xr-var-data-in' type='checkbox'><label for='data-b41d4cad-b8f0-400b-841c-f54f84e27450' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-01eff3fa-1c19-46b1-adb1-14065e303ee4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01eff3fa-1c19-46b1-adb1-14065e303ee4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b6546f2-68c8-4db0-ba8e-30a8a45c9ec7' class='xr-var-data-in' type='checkbox'><label for='data-4b6546f2-68c8-4db0-ba8e-30a8a45c9ec7' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>expver</span></div><div class='xr-var-dims'>(expver)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 5</div><input id='attrs-2726e428-4f2b-4881-a16e-11c32e8999cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2726e428-4f2b-4881-a16e-11c32e8999cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c17de33-e2c3-478e-9fb6-77f5ef6599da' class='xr-var-data-in' type='checkbox'><label for='data-0c17de33-e2c3-478e-9fb6-77f5ef6599da' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array([1, 5], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-72701011-d852-4183-9b78-9a2a4f97a8f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72701011-d852-4183-9b78-9a2a4f97a8f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd4df6cd-8cd3-42b5-a261-43befd048d98' class='xr-var-data-in' type='checkbox'><label for='data-cd4df6cd-8cd3-42b5-a261-43befd048d98' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0bb9f605-dcab-4854-bd72-812463738b7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0bb9f605-dcab-4854-bd72-812463738b7d' class='xr-section-summary' >Data variables: <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>lai_hv</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 2.002 2.599 0.0</div><input id='attrs-d8b85ba7-47e0-430b-8bd1-4ecd9566e713' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8b85ba7-47e0-430b-8bd1-4ecd9566e713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-696d5df7-670c-4c61-a040-598a7950a5a0' class='xr-var-data-in' type='checkbox'><label for='data-696d5df7-670c-4c61-a040-598a7950a5a0' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.       , 0.       , 0.       , ..., 5.754073 , 5.532326 ,\n",
              "          5.116726 ],\n",
              "         [0.       , 0.       , 0.       , ..., 5.5310287, 5.5748158,\n",
              "          5.2738194],\n",
              "         [0.       , 0.       , 0.       , ..., 5.2138147, 4.6498785,\n",
              "          2.9026062],\n",
              "         ...,\n",
              "         [0.       , 0.       , 0.       , ..., 4.071455 , 3.919335 ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 1.9958323, 2.734485 ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 2.0015626, 2.5994473,\n",
              "          0.       ]],\n",
              "\n",
              "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "...\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan]],\n",
              "\n",
              "        [[0.       , 0.       , 0.       , ..., 5.4623747, 5.1291595,\n",
              "          4.7889166],\n",
              "         [0.       , 0.       , 0.       , ..., 5.1260242, 4.9530373,\n",
              "          4.9466586],\n",
              "         [0.       , 0.       , 0.       , ..., 4.671394 , 4.1998973,\n",
              "          3.067268 ],\n",
              "         ...,\n",
              "         [0.       , 0.       , 0.       , ..., 4.071455 , 3.919335 ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 1.9958323, 2.734485 ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 2.0015626, 2.5994473,\n",
              "          0.       ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.7 300.6 300.5 ... 291.8 290.8</div><input id='attrs-79babd28-c2db-4f3b-bb9d-23bde97daf89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79babd28-c2db-4f3b-bb9d-23bde97daf89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad383a4e-adb8-4289-a147-8e0f0087bbad' class='xr-var-data-in' type='checkbox'><label for='data-ad383a4e-adb8-4289-a147-8e0f0087bbad' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[300.6701 , 300.60406, 300.53143, ..., 284.7542 , 285.24094,\n",
              "          289.00644],\n",
              "         [300.647  , 300.58426, 300.49246, ..., 285.4397 , 288.385  ,\n",
              "          294.41232],\n",
              "         [300.6351 , 300.56906, 300.48453, ..., 286.17404, 292.54144,\n",
              "          300.81076],\n",
              "         ...,\n",
              "         [295.848  , 295.91864, 295.95166, ..., 284.94574, 283.3912 ,\n",
              "          287.8131 ],\n",
              "         [295.81894, 295.88895, 295.93384, ..., 291.45578, 290.4672 ,\n",
              "          292.85184],\n",
              "         [295.77206, 295.84402, 295.88895, ..., 298.2234 , 297.75055,\n",
              "          296.68405]],\n",
              "\n",
              "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "...\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan]],\n",
              "\n",
              "        [[300.12595, 300.13586, 300.1636 , ..., 284.72583, 285.35254,\n",
              "          289.37228],\n",
              "         [300.12595, 300.1418 , 300.15964, ..., 284.96225, 288.14597,\n",
              "          293.32928],\n",
              "         [300.08698, 300.10483, 300.1319 , ..., 286.51282, 292.03033,\n",
              "          297.73734],\n",
              "         ...,\n",
              "         [290.384  , 290.39587, 290.41107, ..., 284.9015 , 284.09912,\n",
              "          285.35452],\n",
              "         [290.38992, 290.39786, 290.417  , ..., 289.4053 , 287.96237,\n",
              "          287.85474],\n",
              "         [290.45267, 290.40778, 290.42294, ..., 293.05194, 291.77277,\n",
              "          290.84692]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(time, expver, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0004338 0.0003513 ... 0.0 0.0</div><input id='attrs-69e6439a-36a5-43a0-9eca-62b17da312e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69e6439a-36a5-43a0-9eca-62b17da312e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2882ef1d-8919-4584-88a4-e602b4c0646e' class='xr-var-data-in' type='checkbox'><label for='data-2882ef1d-8919-4584-88a4-e602b4c0646e' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[[4.33772802e-04, 3.51257622e-04, 2.82891095e-04, ...,\n",
              "          2.16886401e-03, 3.40181589e-03, 4.94594872e-03],\n",
              "         [4.64417040e-04, 3.84263694e-04, 3.44187021e-04, ...,\n",
              "          2.18772143e-03, 2.10992247e-03, 6.78949058e-04],\n",
              "         [5.23351133e-04, 3.96050513e-04, 4.03121114e-04, ...,\n",
              "          7.28455186e-03, 3.27922404e-03, 6.36503100e-05],\n",
              "         ...,\n",
              "         [2.52246857e-04, 2.28673220e-04, 1.95667148e-04, ...,\n",
              "          3.64699215e-03, 3.70121002e-03, 1.90953910e-03],\n",
              "         [2.61679292e-04, 2.35743821e-04, 2.07453966e-04, ...,\n",
              "          1.75630301e-03, 1.81524456e-03, 5.58719039e-04],\n",
              "         [2.92323530e-04, 2.47530639e-04, 2.19240785e-04, ...,\n",
              "          1.27300620e-04, 7.54371285e-05, 6.36503100e-05]],\n",
              "\n",
              "        [[           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "...\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan]],\n",
              "\n",
              "        [[1.79638453e-02, 1.82962455e-02, 1.85814984e-02, ...,\n",
              "          2.96332687e-03, 3.66113335e-03, 4.26464528e-03],\n",
              "         [1.22611448e-02, 1.27797872e-02, 1.39042959e-02, ...,\n",
              "          4.77150083e-03, 4.17034328e-03, 6.17183000e-03],\n",
              "         [9.05264169e-03, 1.01582929e-02, 1.08749643e-02, ...,\n",
              "          9.47934389e-03, 5.70976734e-03, 3.08591127e-03],\n",
              "         ...,\n",
              "         [3.77193093e-04, 3.81909311e-04, 3.04110348e-04, ...,\n",
              "          2.59317458e-04, 3.70122492e-04, 7.30827451e-05],\n",
              "         [3.44187021e-04, 3.39470804e-04, 3.04110348e-04, ...,\n",
              "          1.55590475e-04, 2.02737749e-04, 2.59280205e-05],\n",
              "         [3.51257622e-04, 4.07837331e-04, 4.05482948e-04, ...,\n",
              "          0.00000000e+00, 0.00000000e+00, 0.00000000e+00]]]],\n",
              "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-427f8869-387f-46e8-9a3d-570a27bae3d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-427f8869-387f-46e8-9a3d-570a27bae3d6' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_amazon = xr.open_dataset('/content/data (1).nc').sel(expver=1)  #taking expver=1"
      ],
      "metadata": {
        "id": "EzQgBvRr1eO0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#histogram based on temp skt\n",
        "data_amazon.skt.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "YRcypLmR2D1F",
        "outputId": "64c1f62c-cea5-4023-f832-550e273f1c38"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([1.180000e+02, 3.424000e+03, 3.899800e+04, 1.086510e+05,\n",
              "        1.537960e+05, 3.378610e+05, 1.026602e+06, 4.416252e+06,\n",
              "        2.071530e+05, 8.690000e+02]),\n",
              " array([266.844  , 271.1717 , 275.49936, 279.82706, 284.15472, 288.48242,\n",
              "        292.81012, 297.1378 , 301.46548, 305.79315, 310.12085],\n",
              "       dtype=float32),\n",
              " <a list of 10 Patch objects>)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_amazon.isel(time=0).skt.plot()   #3d Visualization of temp data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "AoMPjCfB2axh",
        "outputId": "f090ca76-d8c3-4c34-8e12-e0af7ccf9dcb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b4015750>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_amazon.isel(time=0).lai_hv.plot()   #3d visualization of vegetation data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "aKbzGpJN2so7",
        "outputId": "b36eadbc-f330-4cf4-efef-bf9e7ec6827b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b3f06110>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#at time=0 (1979-01-01) temp is changing according to nearest longitude of -47\n",
        "data_amazon.isel(time=0).sel(longitude=-47,method='nearest').skt.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "eydj4QD_3FZX",
        "outputId": "cbbcc91a-4185-48b7-ff67-da4a88a04254"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b4edb210>]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# temp change from 1985-01-01 to 2019-01-01 \n",
        "temp_change=(data_amazon.skt.sel(time='2019-01-01')-data_amazon.skt.sel(time='1985-01-01'))\n",
        "temp_change.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "0SLfyue36We5",
        "outputId": "80455f40-542d-447b-d619-aae2470bbd51"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b37e3210>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# now seasonal change using vegetation Data_variables(lai_hv)\n",
        "\n",
        "seasonal_change=(data_amazon.lai_hv.sel(time='2019-09-01')-data_amazon.lai_hv.sel(time='2019-01-01'))\n",
        "seasonal_change.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "9nrxj4md7lgc",
        "outputId": "56a1934a-f4c7-42be-dc53-32eb49cc0997"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b3726ad0>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we can calculate mean temp over dimensions latitude and longitude. so graph will be 3d visualisation \n",
        "#over latitude,longitude and skt(surface temp), and time will be out\n",
        "mean_temp=data_amazon.skt.mean(dim='time')\n",
        "mean_temp.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "aFdADGK78YTe",
        "outputId": "bf0e7b11-3acf-4815-ca9d-80e2e7330d5e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b366ec50>"
            ]
          },
          "metadata": {},
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#here we are plotting surface temp(skt) vs latitude\n",
        "#and time and longitude are out\n",
        "data_amazon.skt.mean(dim=['time','longitude']).plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "giMRl4Vq9cwT",
        "outputId": "59136ace-190b-4807-9fcf-6be6ff4dc491"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b3542c90>]"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#plotting surface temperature(skt) vs time(year)\n",
        "data_amazon.skt.median(dim=['latitude','longitude']).plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "aSM0td34-40z",
        "outputId": "0948c9c6-43e4-4cb8-dec0-f4615223b635"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b35598d0>]"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#we will be using groupby function to find out annual temp mean\n",
        "(data_amazon.groupby(data_amazon.time.dt.year)\n",
        "    .mean(dim=['time','latitude','longitude']).skt.plot())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "qVYR7hId_JmE",
        "outputId": "f822b676-891e-43d5-f82a-8fbd0f61abb7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b347d390>]"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#for month wise data\n",
        "(data_amazon.groupby(data_amazon.time.dt.month)\n",
        "    .mean(dim=['time','latitude','longitude']).skt.plot())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "hoN_ZsI1_1pb",
        "outputId": "f42f5fa0-d366-4481-ef7a-9359273c498d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b342b190>]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now vegetation index(lai_hv) wrt month\n",
        "(data_amazon.groupby(data_amazon.time.dt.month)\n",
        "    .mean(dim=['time','latitude','longitude']).lai_hv.plot())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "VAi-FSUo_97C",
        "outputId": "03ac70c3-ca0e-4769-b703-ea1ab207945e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b339fb90>]"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now for temp change over a 20 yrs time span\n",
        "(data_amazon.resample({'time':'20y'}).mean(dim=['time','latitude','longitude']).skt.plot())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "gxz2P89PAIvT",
        "outputId": "a45802a3-2980-48a8-d944-66f40bedb659"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f74b33b1f90>]"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#in this portion we will be merging and concatenate dataset and create new dimensions and variables\n"
      ],
      "metadata": {
        "id": "VNWeim4YAY8R"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dmm=data_amazon.time.dt.year    #over only time dimensions\n",
        "dmm"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 864
        },
        "id": "r3qH3RtlA4bq",
        "outputId": "1e5fba96-0cc1-414b-c1ba-823ecb48c249"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.DataArray 'year' (time: 500)>\n",
              "array([1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979,\n",
              "       1979, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980,\n",
              "       1980, 1980, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981,\n",
              "       1981, 1981, 1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982,\n",
              "       1982, 1982, 1982, 1982, 1983, 1983, 1983, 1983, 1983, 1983, 1983,\n",
              "       1983, 1983, 1983, 1983, 1983, 1984, 1984, 1984, 1984, 1984, 1984,\n",
              "       1984, 1984, 1984, 1984, 1984, 1984, 1985, 1985, 1985, 1985, 1985,\n",
              "       1985, 1985, 1985, 1985, 1985, 1985, 1985, 1986, 1986, 1986, 1986,\n",
              "       1986, 1986, 1986, 1986, 1986, 1986, 1986, 1986, 1987, 1987, 1987,\n",
              "       1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1988, 1988,\n",
              "       1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1989,\n",
              "       1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989,\n",
              "       1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990,\n",
              "       1990, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991,\n",
              "       1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992,\n",
              "       1992, 1992, 1992, 1993, 1993, 1993, 1993, 1993, 1993, 1993, 1993,\n",
              "       1993, 1993, 1993, 1993, 1994, 1994, 1994, 1994, 1994, 1994, 1994,\n",
              "       1994, 1994, 1994, 1994, 1994, 1995, 1995, 1995, 1995, 1995, 1995,\n",
              "       1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996,\n",
              "       1996, 1996, 1996, 1996, 1996, 1996, 1996, 1997, 1997, 1997, 1997,\n",
              "...\n",
              "       2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,\n",
              "       2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,\n",
              "       2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,\n",
              "       2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006,\n",
              "       2006, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007,\n",
              "       2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008, 2008,\n",
              "       2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2009, 2009, 2009,\n",
              "       2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2010, 2010,\n",
              "       2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011,\n",
              "       2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011,\n",
              "       2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012,\n",
              "       2012, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,\n",
              "       2013, 2013, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,\n",
              "       2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015,\n",
              "       2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016,\n",
              "       2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,\n",
              "       2017, 2017, 2017, 2017, 2017, 2017, 2018, 2018, 2018, 2018, 2018,\n",
              "       2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019,\n",
              "       2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020,\n",
              "       2020, 2020, 2020, 2020, 2020])\n",
              "Coordinates:\n",
              "    expver   int32 1\n",
              "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01"
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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;year&#x27; (time: 500)&gt;\n",
              "array([1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979,\n",
              "       1979, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980,\n",
              "       1980, 1980, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981,\n",
              "       1981, 1981, 1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982,\n",
              "       1982, 1982, 1982, 1982, 1983, 1983, 1983, 1983, 1983, 1983, 1983,\n",
              "       1983, 1983, 1983, 1983, 1983, 1984, 1984, 1984, 1984, 1984, 1984,\n",
              "       1984, 1984, 1984, 1984, 1984, 1984, 1985, 1985, 1985, 1985, 1985,\n",
              "       1985, 1985, 1985, 1985, 1985, 1985, 1985, 1986, 1986, 1986, 1986,\n",
              "       1986, 1986, 1986, 1986, 1986, 1986, 1986, 1986, 1987, 1987, 1987,\n",
              "       1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1988, 1988,\n",
              "       1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1989,\n",
              "       1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989,\n",
              "       1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990,\n",
              "       1990, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991,\n",
              "       1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992,\n",
              "       1992, 1992, 1992, 1993, 1993, 1993, 1993, 1993, 1993, 1993, 1993,\n",
              "       1993, 1993, 1993, 1993, 1994, 1994, 1994, 1994, 1994, 1994, 1994,\n",
              "       1994, 1994, 1994, 1994, 1994, 1995, 1995, 1995, 1995, 1995, 1995,\n",
              "       1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996,\n",
              "       1996, 1996, 1996, 1996, 1996, 1996, 1996, 1997, 1997, 1997, 1997,\n",
              "...\n",
              "       2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,\n",
              "       2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,\n",
              "       2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,\n",
              "       2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006,\n",
              "       2006, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007,\n",
              "       2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008, 2008,\n",
              "       2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2009, 2009, 2009,\n",
              "       2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2010, 2010,\n",
              "       2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011,\n",
              "       2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011,\n",
              "       2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012,\n",
              "       2012, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,\n",
              "       2013, 2013, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,\n",
              "       2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015,\n",
              "       2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016,\n",
              "       2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,\n",
              "       2017, 2017, 2017, 2017, 2017, 2017, 2018, 2018, 2018, 2018, 2018,\n",
              "       2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019,\n",
              "       2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020,\n",
              "       2020, 2020, 2020, 2020, 2020])\n",
              "Coordinates:\n",
              "    expver   int32 1\n",
              "  * time     (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'year'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2c65ed17-c87f-454c-be65-b5cb052a5311' class='xr-array-in' type='checkbox' checked><label for='section-2c65ed17-c87f-454c-be65-b5cb052a5311' 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>1979 1979 1979 1979 1979 1979 1979 ... 2020 2020 2020 2020 2020 2020</span></div><div class='xr-array-data'><pre>array([1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979,\n",
              "       1979, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980,\n",
              "       1980, 1980, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981,\n",
              "       1981, 1981, 1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982,\n",
              "       1982, 1982, 1982, 1982, 1983, 1983, 1983, 1983, 1983, 1983, 1983,\n",
              "       1983, 1983, 1983, 1983, 1983, 1984, 1984, 1984, 1984, 1984, 1984,\n",
              "       1984, 1984, 1984, 1984, 1984, 1984, 1985, 1985, 1985, 1985, 1985,\n",
              "       1985, 1985, 1985, 1985, 1985, 1985, 1985, 1986, 1986, 1986, 1986,\n",
              "       1986, 1986, 1986, 1986, 1986, 1986, 1986, 1986, 1987, 1987, 1987,\n",
              "       1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1988, 1988,\n",
              "       1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1989,\n",
              "       1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989,\n",
              "       1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990,\n",
              "       1990, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991,\n",
              "       1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992,\n",
              "       1992, 1992, 1992, 1993, 1993, 1993, 1993, 1993, 1993, 1993, 1993,\n",
              "       1993, 1993, 1993, 1993, 1994, 1994, 1994, 1994, 1994, 1994, 1994,\n",
              "       1994, 1994, 1994, 1994, 1994, 1995, 1995, 1995, 1995, 1995, 1995,\n",
              "       1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996,\n",
              "       1996, 1996, 1996, 1996, 1996, 1996, 1996, 1997, 1997, 1997, 1997,\n",
              "...\n",
              "       2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,\n",
              "       2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,\n",
              "       2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,\n",
              "       2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006,\n",
              "       2006, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007,\n",
              "       2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008, 2008,\n",
              "       2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2009, 2009, 2009,\n",
              "       2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2010, 2010,\n",
              "       2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011,\n",
              "       2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011,\n",
              "       2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012,\n",
              "       2012, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,\n",
              "       2013, 2013, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,\n",
              "       2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015,\n",
              "       2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016,\n",
              "       2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,\n",
              "       2017, 2017, 2017, 2017, 2017, 2017, 2018, 2018, 2018, 2018, 2018,\n",
              "       2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019,\n",
              "       2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020,\n",
              "       2020, 2020, 2020, 2020, 2020])</pre></div></div></li><li class='xr-section-item'><input id='section-2583ac36-6aa1-4104-86bc-cfc887ba68ee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2583ac36-6aa1-4104-86bc-cfc887ba68ee' 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>expver</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-4fdae499-b917-4f54-8f89-9ae479268b2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fdae499-b917-4f54-8f89-9ae479268b2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f50e1ebd-6788-45c1-9261-8c9dcbab70c3' class='xr-var-data-in' type='checkbox'><label for='data-f50e1ebd-6788-45c1-9261-8c9dcbab70c3' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-cdeb220d-29ff-4387-baae-b35b8280367f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdeb220d-29ff-4387-baae-b35b8280367f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d999d4-c66d-4771-9e08-e3407edc109d' class='xr-var-data-in' type='checkbox'><label for='data-c4d999d4-c66d-4771-9e08-e3407edc109d' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d3a021e-26f8-4bca-9265-d25ed4fde820' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4d3a021e-26f8-4bca-9265-d25ed4fde820' 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>"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_1=data_amazon.merge(dmm)\n",
        "data_1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "-mVNmp8zA-9k",
        "outputId": "b0032301-c19b-43c8-dcb1-d7dfc2bcdf64"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:    (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver     int32 1\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, latitude, longitude) float32 ...\n",
              "    skt        (time, latitude, longitude) float32 ...\n",
              "    tp         (time, latitude, longitude) float32 ...\n",
              "    year       (time) int64 1979 1979 1979 1979 1979 ... 2020 2020 2020 2020\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:    (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float32 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver     int32 1\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv     (time, latitude, longitude) float32 ...\n",
              "    skt        (time, latitude, longitude) float32 ...\n",
              "    tp         (time, latitude, longitude) float32 ...\n",
              "    year       (time) int64 1979 1979 1979 1979 1979 ... 2020 2020 2020 2020\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-db6737b6-3494-423b-86d9-9ad8fc8f0bc0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db6737b6-3494-423b-86d9-9ad8fc8f0bc0' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cdb81ac4-bd4c-4354-80c5-9d0d5052ab89' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdb81ac4-bd4c-4354-80c5-9d0d5052ab89' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-ccea719c-14e9-445e-9909-9227a5a6776b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccea719c-14e9-445e-9909-9227a5a6776b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7499363a-0c5a-4398-8a9d-579cb6a4c4b1' class='xr-var-data-in' type='checkbox'><label for='data-7499363a-0c5a-4398-8a9d-579cb6a4c4b1' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-335832c9-0953-4050-b85e-b39687f2a6a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335832c9-0953-4050-b85e-b39687f2a6a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da99b8a1-4690-4b14-97a6-087b3b248f3c' class='xr-var-data-in' type='checkbox'><label for='data-da99b8a1-4690-4b14-97a6-087b3b248f3c' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-3ad606ca-db15-4ff4-bba0-7b1e38419cd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ad606ca-db15-4ff4-bba0-7b1e38419cd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0626631b-67bc-4777-a304-ac6a874729e7' class='xr-var-data-in' type='checkbox'><label for='data-0626631b-67bc-4777-a304-ac6a874729e7' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-5918b73d-09a1-4c99-b983-088c5861dadf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5918b73d-09a1-4c99-b983-088c5861dadf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac2bc8c8-d582-4a65-b8bf-bac3c0da5bf5' class='xr-var-data-in' type='checkbox'><label for='data-ac2bc8c8-d582-4a65-b8bf-bac3c0da5bf5' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9fcb7441-46d9-4637-890c-69236d902e86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9fcb7441-46d9-4637-890c-69236d902e86' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</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'>...</div><input id='attrs-fe603de3-00ca-4eba-885d-d5617cfe14d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe603de3-00ca-4eba-885d-d5617cfe14d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b3f792-b514-4e1b-b474-d5bffb4a7580' class='xr-var-data-in' type='checkbox'><label for='data-56b3f792-b514-4e1b-b474-d5bffb4a7580' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</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'>...</div><input id='attrs-0e964fef-db9c-4ac4-8f0b-b3423e1f303f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e964fef-db9c-4ac4-8f0b-b3423e1f303f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5687de29-3898-4c44-b1ac-f9cb6d39d39d' class='xr-var-data-in' type='checkbox'><label for='data-5687de29-3898-4c44-b1ac-f9cb6d39d39d' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</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'>...</div><input id='attrs-f572e89f-db6f-457a-afeb-73354286c0f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f572e89f-db6f-457a-afeb-73354286c0f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15359b28-eca5-4aaf-9fa2-e256033eaec1' class='xr-var-data-in' type='checkbox'><label for='data-15359b28-eca5-4aaf-9fa2-e256033eaec1' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>year</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1979 1979 1979 ... 2020 2020 2020</div><input id='attrs-653c7ab5-3384-4321-a6b3-67283f1ccf83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-653c7ab5-3384-4321-a6b3-67283f1ccf83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fefaf53-9f92-487a-a939-d6e285d9ba6a' class='xr-var-data-in' type='checkbox'><label for='data-3fefaf53-9f92-487a-a939-d6e285d9ba6a' 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([1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979,\n",
              "       1979, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980,\n",
              "       1980, 1980, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981,\n",
              "       1981, 1981, 1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982,\n",
              "       1982, 1982, 1982, 1982, 1983, 1983, 1983, 1983, 1983, 1983, 1983,\n",
              "       1983, 1983, 1983, 1983, 1983, 1984, 1984, 1984, 1984, 1984, 1984,\n",
              "       1984, 1984, 1984, 1984, 1984, 1984, 1985, 1985, 1985, 1985, 1985,\n",
              "       1985, 1985, 1985, 1985, 1985, 1985, 1985, 1986, 1986, 1986, 1986,\n",
              "       1986, 1986, 1986, 1986, 1986, 1986, 1986, 1986, 1987, 1987, 1987,\n",
              "       1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1988, 1988,\n",
              "       1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1989,\n",
              "       1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989,\n",
              "       1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990,\n",
              "       1990, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991,\n",
              "       1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992,\n",
              "       1992, 1992, 1992, 1993, 1993, 1993, 1993, 1993, 1993, 1993, 1993,\n",
              "       1993, 1993, 1993, 1993, 1994, 1994, 1994, 1994, 1994, 1994, 1994,\n",
              "       1994, 1994, 1994, 1994, 1994, 1995, 1995, 1995, 1995, 1995, 1995,\n",
              "       1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996,\n",
              "       1996, 1996, 1996, 1996, 1996, 1996, 1996, 1997, 1997, 1997, 1997,\n",
              "...\n",
              "       2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,\n",
              "       2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,\n",
              "       2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,\n",
              "       2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006,\n",
              "       2006, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007,\n",
              "       2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008, 2008,\n",
              "       2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2009, 2009, 2009,\n",
              "       2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2010, 2010,\n",
              "       2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011,\n",
              "       2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011,\n",
              "       2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012,\n",
              "       2012, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,\n",
              "       2013, 2013, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,\n",
              "       2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015,\n",
              "       2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016,\n",
              "       2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,\n",
              "       2017, 2017, 2017, 2017, 2017, 2017, 2018, 2018, 2018, 2018, 2018,\n",
              "       2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019,\n",
              "       2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020,\n",
              "       2020, 2020, 2020, 2020, 2020])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4506b04-3931-4e88-9e1d-dded244a8ad8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4506b04-3931-4e88-9e1d-dded244a8ad8' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#creating new data variable cubed distance\n",
        "dmm=data_amazon.longitude**3+data_amazon.latitude**3\n",
        "dmm.name='cubed_distance'\n",
        "data_2=data_amazon.merge(dmm)\n",
        "data_2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "gIuHW8XsBUPQ",
        "outputId": "d119a6a0-4cb6-4ac5-9948-11734d341882"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:         (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv          (time, latitude, longitude) float32 ...\n",
              "    skt             (time, latitude, longitude) float32 ...\n",
              "    tp              (time, latitude, longitude) float32 ...\n",
              "    cubed_distance  (longitude, latitude) float32 -5.512e+05 ... -1.063e+05\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:         (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv          (time, latitude, longitude) float32 ...\n",
              "    skt             (time, latitude, longitude) float32 ...\n",
              "    tp              (time, latitude, longitude) float32 ...\n",
              "    cubed_distance  (longitude, latitude) float32 -5.512e+05 ... -1.063e+05\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5e5e5fd4-e4a3-495e-b16d-0ede004d47fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e5e5fd4-e4a3-495e-b16d-0ede004d47fd' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ff4b59e3-fbae-4418-9f1e-68f0d9b4aac1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff4b59e3-fbae-4418-9f1e-68f0d9b4aac1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-bc164c70-85de-4575-9236-92e105cd2909' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc164c70-85de-4575-9236-92e105cd2909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd6a5ea1-2fc4-45f6-a6c8-9db0da9a68d3' class='xr-var-data-in' type='checkbox'><label for='data-fd6a5ea1-2fc4-45f6-a6c8-9db0da9a68d3' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-b4e1b543-89d4-4f4d-b539-00465f1890b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e1b543-89d4-4f4d-b539-00465f1890b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0cd6998-9198-487d-883f-d4a76bc11d11' class='xr-var-data-in' type='checkbox'><label for='data-f0cd6998-9198-487d-883f-d4a76bc11d11' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-eaa8acec-349b-426c-bf7a-ed4946cdbd01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eaa8acec-349b-426c-bf7a-ed4946cdbd01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c5fc38b-2159-4808-a5c2-35a7875f9750' class='xr-var-data-in' type='checkbox'><label for='data-9c5fc38b-2159-4808-a5c2-35a7875f9750' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-484ff5b9-a420-425b-ab4a-318c0f93e1f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-484ff5b9-a420-425b-ab4a-318c0f93e1f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e1a684-6dbc-4547-b8dc-33194e261463' class='xr-var-data-in' type='checkbox'><label for='data-32e1a684-6dbc-4547-b8dc-33194e261463' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aca8552b-8b14-4b09-9785-28d9eb9b873a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aca8552b-8b14-4b09-9785-28d9eb9b873a' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</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'>...</div><input id='attrs-e41703f6-a885-4783-a1aa-8de48ac1deef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e41703f6-a885-4783-a1aa-8de48ac1deef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c063859-d332-4482-8280-652fd125854a' class='xr-var-data-in' type='checkbox'><label for='data-2c063859-d332-4482-8280-652fd125854a' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</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'>...</div><input id='attrs-b15bfbee-cb8d-45c6-8e07-6975dcc20f3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b15bfbee-cb8d-45c6-8e07-6975dcc20f3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc518db2-20f0-40ae-a417-e2901585eeda' class='xr-var-data-in' type='checkbox'><label for='data-bc518db2-20f0-40ae-a417-e2901585eeda' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</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'>...</div><input id='attrs-4fee09a8-d219-420b-8387-9b43efa5443a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fee09a8-d219-420b-8387-9b43efa5443a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60bf404b-7c91-49d7-af26-794515e48e2b' class='xr-var-data-in' type='checkbox'><label for='data-60bf404b-7c91-49d7-af26-794515e48e2b' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>[6319000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cubed_distance</span></div><div class='xr-var-dims'>(longitude, latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.512e+05 ... -1.063e+05</div><input id='attrs-2d140eaa-1e68-4f50-a8b8-a5a5ad9d5b0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d140eaa-1e68-4f50-a8b8-a5a5ad9d5b0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-496cd075-eead-4114-975b-ebb61f79537d' class='xr-var-data-in' type='checkbox'><label for='data-496cd075-eead-4114-975b-ebb61f79537d' 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([[-551152.   , -551177.9  , -551201.6  , ..., -555091.9  ,\n",
              "        -555275.   , -555464.   ],\n",
              "       [-546124.4  , -546150.25 , -546174.   , ..., -550064.25 ,\n",
              "        -550247.4  , -550436.4  ],\n",
              "       [-541127.4  , -541153.25 , -541177.   , ..., -545067.25 ,\n",
              "        -545250.4  , -545439.4  ],\n",
              "       ...,\n",
              "       [-105272.58 , -105298.47 , -105322.2  , ..., -109212.45 ,\n",
              "        -109395.56 , -109584.58 ],\n",
              "       [-103607.   , -103632.89 , -103656.625, ..., -107546.875,\n",
              "        -107729.984, -107919.   ],\n",
              "       [-101959.05 , -101984.94 , -102008.67 , ..., -105898.92 ,\n",
              "        -106082.03 , -106271.05 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ddb97dcf-6ac4-4cef-9dda-7f27f2309864' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ddb97dcf-6ac4-4cef-9dda-7f27f2309864' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#let's merge data_1 and data_2 \n",
        "data_3=data_1.merge(data_2)\n",
        "data_3 "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "id": "jM5-wPyzBv1R",
        "outputId": "120426f5-d327-4487-be44-c54c44424fe5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:         (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv          (time, latitude, longitude) float32 0.0 0.0 0.0 ... nan nan\n",
              "    skt             (time, latitude, longitude) float32 300.7 300.6 ... nan nan\n",
              "    tp              (time, latitude, longitude) float32 0.0004338 ... nan\n",
              "    year            (time) int64 1979 1979 1979 1979 ... 2020 2020 2020 2020\n",
              "    cubed_distance  (longitude, latitude) float32 -5.512e+05 ... -1.063e+05\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:         (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    lai_hv          (time, latitude, longitude) float32 0.0 0.0 0.0 ... nan nan\n",
              "    skt             (time, latitude, longitude) float32 300.7 300.6 ... nan nan\n",
              "    tp              (time, latitude, longitude) float32 0.0004338 ... nan\n",
              "    year            (time) int64 1979 1979 1979 1979 ... 2020 2020 2020 2020\n",
              "    cubed_distance  (longitude, latitude) float32 -5.512e+05 ... -1.063e+05\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46030293-7330-4ac6-aa18-a550460f5361' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46030293-7330-4ac6-aa18-a550460f5361' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b77e72c2-b085-4bba-a718-d3f8aec76376' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b77e72c2-b085-4bba-a718-d3f8aec76376' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-dedb7e12-528b-409f-b60a-c83959eee622' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dedb7e12-528b-409f-b60a-c83959eee622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-407e0e7b-e0cd-4904-b4b9-cf9613eed8d2' class='xr-var-data-in' type='checkbox'><label for='data-407e0e7b-e0cd-4904-b4b9-cf9613eed8d2' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-032abdc7-a897-4232-80c9-7340eee01c1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-032abdc7-a897-4232-80c9-7340eee01c1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e28576b-baa4-4db9-a255-bd7d38c4b083' class='xr-var-data-in' type='checkbox'><label for='data-6e28576b-baa4-4db9-a255-bd7d38c4b083' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-c39c8c73-3ad2-428c-9013-edd9075cd5cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c39c8c73-3ad2-428c-9013-edd9075cd5cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee6e3b81-0028-4732-af68-fe97c01f5124' class='xr-var-data-in' type='checkbox'><label for='data-ee6e3b81-0028-4732-af68-fe97c01f5124' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-8a046dcf-e6bf-4277-96e5-6ba7e60cb5b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a046dcf-e6bf-4277-96e5-6ba7e60cb5b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07318222-12f1-480b-a640-1b2e27b9576c' class='xr-var-data-in' type='checkbox'><label for='data-07318222-12f1-480b-a640-1b2e27b9576c' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-915e8953-a6fc-4415-ac99-cb908fb966c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-915e8953-a6fc-4415-ac99-cb908fb966c5' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</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'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-9f0cd883-47de-4bc9-a40c-05ae99ec89b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f0cd883-47de-4bc9-a40c-05ae99ec89b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72adc3bf-1c29-489b-8902-ae83266bd95b' class='xr-var-data-in' type='checkbox'><label for='data-72adc3bf-1c29-489b-8902-ae83266bd95b' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "        ...,\n",
              "        [0.       , 0.       , 0.       , ..., 1.9113933, 1.9542075,\n",
              "         1.9683708],\n",
              "        [0.       , 0.       , 0.       , ..., 1.8989599, 1.9291245,\n",
              "         1.9609107],\n",
              "        [0.       , 0.       , 0.       , ..., 1.957451 , 1.9626405,\n",
              "         1.9866425]],\n",
              "\n",
              "       [[0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "         0.       ],\n",
              "...\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</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'>300.7 300.6 300.5 ... nan nan nan</div><input id='attrs-9c1c37b8-98b2-4ec8-973f-9f457d59b039' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c1c37b8-98b2-4ec8-973f-9f457d59b039' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47e73327-c5a8-4e06-93d5-995c9f64c56b' class='xr-var-data-in' type='checkbox'><label for='data-47e73327-c5a8-4e06-93d5-995c9f64c56b' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[300.6701 , 300.60406, 300.53143, ..., 299.7251 , 299.6452 ,\n",
              "         299.58643],\n",
              "        [300.647  , 300.58426, 300.49246, ..., 299.84396, 299.805  ,\n",
              "         299.75018],\n",
              "        [300.6351 , 300.56906, 300.48453, ..., 299.93378, 299.9318 ,\n",
              "         299.8968 ],\n",
              "        ...,\n",
              "        [295.848  , 295.91864, 295.95166, ..., 295.27017, 295.55347,\n",
              "         295.77997],\n",
              "        [295.81894, 295.88895, 295.93384, ..., 295.01196, 295.31308,\n",
              "         295.47687],\n",
              "        [295.77206, 295.84402, 295.88895, ..., 295.07468, 295.3362 ,\n",
              "         295.1995 ]],\n",
              "\n",
              "       [[300.82993, 300.71503, 300.58954, ..., 300.1484 , 300.06454,\n",
              "         299.99585],\n",
              "        [300.77512, 300.63312, 300.45087, ..., 300.295  , 300.2402 ,\n",
              "         300.15436],\n",
              "        [300.7619 , 300.57236, 300.36304, ..., 300.36502, 300.3399 ,\n",
              "         300.27322],\n",
              "...\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan],\n",
              "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</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'>0.0004338 0.0003513 ... nan nan</div><input id='attrs-7170a1f6-5bae-4a05-9a0c-d40dacec6253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7170a1f6-5bae-4a05-9a0c-d40dacec6253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c089eec4-b0e3-4570-86e7-05ed48fd0356' class='xr-var-data-in' type='checkbox'><label for='data-c089eec4-b0e3-4570-86e7-05ed48fd0356' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[4.33772802e-04, 3.51257622e-04, 2.82891095e-04, ...,\n",
              "         5.14161587e-03, 5.35850227e-03, 5.39150834e-03],\n",
              "        [4.64417040e-04, 3.84263694e-04, 3.44187021e-04, ...,\n",
              "         5.53767383e-03, 5.51881641e-03, 5.28542697e-03],\n",
              "        [5.23351133e-04, 3.96050513e-04, 4.03121114e-04, ...,\n",
              "         5.63433021e-03, 5.58010489e-03, 5.39387017e-03],\n",
              "        ...,\n",
              "        [2.52246857e-04, 2.28673220e-04, 1.95667148e-04, ...,\n",
              "         1.72212459e-02, 1.59458593e-02, 2.01114900e-02],\n",
              "        [2.61679292e-04, 2.35743821e-04, 2.07453966e-04, ...,\n",
              "         1.71599500e-02, 1.72471777e-02, 2.05051862e-02],\n",
              "        [2.92323530e-04, 2.47530639e-04, 2.19240785e-04, ...,\n",
              "         1.64385661e-02, 1.72377452e-02, 2.01798566e-02]],\n",
              "\n",
              "       [[1.13864988e-03, 1.07028335e-03, 8.72261822e-04, ...,\n",
              "         2.30323523e-03, 2.41167843e-03, 2.33152509e-03],\n",
              "        [1.16930157e-03, 1.11036003e-03, 9.64201987e-04, ...,\n",
              "         2.45175511e-03, 2.54841149e-03, 2.46354192e-03],\n",
              "        [1.33432448e-03, 1.09621882e-03, 9.07622278e-04, ...,\n",
              "         2.63092667e-03, 2.74172425e-03, 2.59320438e-03],\n",
              "...\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan]],\n",
              "\n",
              "       [[           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        ...,\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan],\n",
              "        [           nan,            nan,            nan, ...,\n",
              "                    nan,            nan,            nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>year</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1979 1979 1979 ... 2020 2020 2020</div><input id='attrs-a2ddee53-467c-4a2e-9e70-34a6cf670956' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2ddee53-467c-4a2e-9e70-34a6cf670956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4414625d-4379-48f3-b68a-fec912e7423d' class='xr-var-data-in' type='checkbox'><label for='data-4414625d-4379-48f3-b68a-fec912e7423d' 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([1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979, 1979,\n",
              "       1979, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980,\n",
              "       1980, 1980, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981,\n",
              "       1981, 1981, 1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982,\n",
              "       1982, 1982, 1982, 1982, 1983, 1983, 1983, 1983, 1983, 1983, 1983,\n",
              "       1983, 1983, 1983, 1983, 1983, 1984, 1984, 1984, 1984, 1984, 1984,\n",
              "       1984, 1984, 1984, 1984, 1984, 1984, 1985, 1985, 1985, 1985, 1985,\n",
              "       1985, 1985, 1985, 1985, 1985, 1985, 1985, 1986, 1986, 1986, 1986,\n",
              "       1986, 1986, 1986, 1986, 1986, 1986, 1986, 1986, 1987, 1987, 1987,\n",
              "       1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1987, 1988, 1988,\n",
              "       1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1988, 1989,\n",
              "       1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989, 1989,\n",
              "       1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990, 1990,\n",
              "       1990, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991, 1991,\n",
              "       1991, 1991, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992, 1992,\n",
              "       1992, 1992, 1992, 1993, 1993, 1993, 1993, 1993, 1993, 1993, 1993,\n",
              "       1993, 1993, 1993, 1993, 1994, 1994, 1994, 1994, 1994, 1994, 1994,\n",
              "       1994, 1994, 1994, 1994, 1994, 1995, 1995, 1995, 1995, 1995, 1995,\n",
              "       1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996,\n",
              "       1996, 1996, 1996, 1996, 1996, 1996, 1996, 1997, 1997, 1997, 1997,\n",
              "...\n",
              "       2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,\n",
              "       2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,\n",
              "       2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,\n",
              "       2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006,\n",
              "       2006, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007,\n",
              "       2007, 2007, 2007, 2007, 2007, 2007, 2007, 2008, 2008, 2008, 2008,\n",
              "       2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2009, 2009, 2009,\n",
              "       2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2010, 2010,\n",
              "       2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2011,\n",
              "       2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011,\n",
              "       2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012,\n",
              "       2012, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013,\n",
              "       2013, 2013, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,\n",
              "       2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015, 2015, 2015,\n",
              "       2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016, 2016, 2016, 2016,\n",
              "       2016, 2016, 2016, 2016, 2016, 2017, 2017, 2017, 2017, 2017, 2017,\n",
              "       2017, 2017, 2017, 2017, 2017, 2017, 2018, 2018, 2018, 2018, 2018,\n",
              "       2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019,\n",
              "       2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020,\n",
              "       2020, 2020, 2020, 2020, 2020])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cubed_distance</span></div><div class='xr-var-dims'>(longitude, latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.512e+05 ... -1.063e+05</div><input id='attrs-bab3c5e3-833a-4eeb-8fd9-25179048cfbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bab3c5e3-833a-4eeb-8fd9-25179048cfbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46578d33-e257-42d4-a11d-dbd5a37ef3d1' class='xr-var-data-in' type='checkbox'><label for='data-46578d33-e257-42d4-a11d-dbd5a37ef3d1' 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([[-551152.   , -551177.9  , -551201.6  , ..., -555091.9  ,\n",
              "        -555275.   , -555464.   ],\n",
              "       [-546124.4  , -546150.25 , -546174.   , ..., -550064.25 ,\n",
              "        -550247.4  , -550436.4  ],\n",
              "       [-541127.4  , -541153.25 , -541177.   , ..., -545067.25 ,\n",
              "        -545250.4  , -545439.4  ],\n",
              "       ...,\n",
              "       [-105272.58 , -105298.47 , -105322.2  , ..., -109212.45 ,\n",
              "        -109395.56 , -109584.58 ],\n",
              "       [-103607.   , -103632.89 , -103656.625, ..., -107546.875,\n",
              "        -107729.984, -107919.   ],\n",
              "       [-101959.05 , -101984.94 , -102008.67 , ..., -105898.92 ,\n",
              "        -106082.03 , -106271.05 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96edb7be-4d8c-4bce-8b2c-964e8c4048a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96edb7be-4d8c-4bce-8b2c-964e8c4048a5' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now we will be creating new Dimension mousam power\n",
        "ds_square_root=data_3**(1/2)\n",
        "ds_cube_root=data_3**(1/3)\n",
        "data_4=xr.concat([data_3,ds_square_root,ds_cube_root],'mousam_power')\n",
        "data_4 "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "id": "kvdLk9XVB9Hx",
        "outputId": "6aa3e94f-62ce-4cda-fa53-c7d64527e7e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:         (longitude: 142, latitude: 89, time: 500, mousam_power: 3)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Dimensions without coordinates: mousam_power\n",
              "Data variables:\n",
              "    lai_hv          (mousam_power, time, latitude, longitude) float32 0.0 ......\n",
              "    skt             (mousam_power, time, latitude, longitude) float32 300.7 ....\n",
              "    tp              (mousam_power, time, latitude, longitude) float32 0.00043...\n",
              "    year            (mousam_power, time) float64 1.979e+03 1.979e+03 ... 12.64\n",
              "    cubed_distance  (mousam_power, longitude, latitude) float32 -5.512e+05 .....\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw..."
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:         (longitude: 142, latitude: 89, time: 500, mousam_power: 3)\n",
              "Coordinates:\n",
              "  * longitude       (longitude) float32 -82.0 -81.75 -81.5 ... -47.0 -46.75\n",
              "  * latitude        (latitude) float32 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "    expver          int32 1\n",
              "  * time            (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Dimensions without coordinates: mousam_power\n",
              "Data variables:\n",
              "    lai_hv          (mousam_power, time, latitude, longitude) float32 0.0 ......\n",
              "    skt             (mousam_power, time, latitude, longitude) float32 300.7 ....\n",
              "    tp              (mousam_power, time, latitude, longitude) float32 0.00043...\n",
              "    year            (mousam_power, time) float64 1.979e+03 1.979e+03 ... 12.64\n",
              "    cubed_distance  (mousam_power, longitude, latitude) float32 -5.512e+05 .....\n",
              "Attributes:\n",
              "    Conventions:  CF-1.6\n",
              "    history:      2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmw...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a2169494-3fcd-4159-ad15-20d407a11998' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2169494-3fcd-4159-ad15-20d407a11998' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li><li><span>mousam_power</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2987ec35-7ae9-42d1-bb70-f10a4568317d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2987ec35-7ae9-42d1-bb70-f10a4568317d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-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'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-dbd7ab1c-efa6-4afb-9ded-d599b719f3db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbd7ab1c-efa6-4afb-9ded-d599b719f3db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6e9a501-18b7-4595-95e1-ef5470f3375a' class='xr-var-data-in' type='checkbox'><label for='data-a6e9a501-18b7-4595-95e1-ef5470f3375a' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75], 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'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-207a284b-e3e2-4d24-b1e2-e68d4cbcee6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-207a284b-e3e2-4d24-b1e2-e68d4cbcee6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22e21db5-3229-4d12-a2eb-1874e9f3ebb6' class='xr-var-data-in' type='checkbox'><label for='data-22e21db5-3229-4d12-a2eb-1874e9f3ebb6' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-4bdf4910-87fb-48ac-8a58-76da9703edcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bdf4910-87fb-48ac-8a58-76da9703edcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e30acefe-7e57-492f-bfc4-0cd43b68a549' class='xr-var-data-in' type='checkbox'><label for='data-e30acefe-7e57-492f-bfc4-0cd43b68a549' 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>expver</dd></dl></div><div class='xr-var-data'><pre>array(1, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2020-08-01</div><input id='attrs-e2e7f065-f91a-4fcb-91aa-8b1bca167c0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2e7f065-f91a-4fcb-91aa-8b1bca167c0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f23fbc-5ebb-4bc5-93d5-71b03e62647c' class='xr-var-data-in' type='checkbox'><label for='data-86f23fbc-5ebb-4bc5-93d5-71b03e62647c' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a83aa767-ed0e-435d-a36e-9c5a958102a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a83aa767-ed0e-435d-a36e-9c5a958102a5' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</span></div><div class='xr-var-dims'>(mousam_power, time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-28fd04a7-543c-4908-8847-edb05624c4cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28fd04a7-543c-4908-8847-edb05624c4cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1791fa59-fa5f-4fff-b9db-9384f51c70c3' class='xr-var-data-in' type='checkbox'><label for='data-1791fa59-fa5f-4fff-b9db-9384f51c70c3' 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>m**2 m**-2</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "         ...,\n",
              "         [0.       , 0.       , 0.       , ..., 1.9113933, 1.9542075,\n",
              "          1.9683708],\n",
              "         [0.       , 0.       , 0.       , ..., 1.8989599, 1.9291245,\n",
              "          1.9609107],\n",
              "         [0.       , 0.       , 0.       , ..., 1.957451 , 1.9626405,\n",
              "          1.9866425]],\n",
              "\n",
              "        [[0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "         [0.       , 0.       , 0.       , ..., 0.       , 0.       ,\n",
              "          0.       ],\n",
              "...\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan]],\n",
              "\n",
              "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         ...,\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan],\n",
              "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
              "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(mousam_power, time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.7 300.6 300.5 ... nan nan nan</div><input id='attrs-4dbb6bdf-f712-47a3-be4d-70e5504fbb8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dbb6bdf-f712-47a3-be4d-70e5504fbb8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-440c5397-fc31-4b2f-9992-8c34a1e7d3f4' class='xr-var-data-in' type='checkbox'><label for='data-440c5397-fc31-4b2f-9992-8c34a1e7d3f4' 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>K</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd></dl></div><div class='xr-var-data'><pre>array([[[[300.6701   , 300.60406  , 300.53143  , ..., 299.7251   ,\n",
              "          299.6452   , 299.58643  ],\n",
              "         [300.647    , 300.58426  , 300.49246  , ..., 299.84396  ,\n",
              "          299.805    , 299.75018  ],\n",
              "         [300.6351   , 300.56906  , 300.48453  , ..., 299.93378  ,\n",
              "          299.9318   , 299.8968   ],\n",
              "         ...,\n",
              "         [295.848    , 295.91864  , 295.95166  , ..., 295.27017  ,\n",
              "          295.55347  , 295.77997  ],\n",
              "         [295.81894  , 295.88895  , 295.93384  , ..., 295.01196  ,\n",
              "          295.31308  , 295.47687  ],\n",
              "         [295.77206  , 295.84402  , 295.88895  , ..., 295.07468  ,\n",
              "          295.3362   , 295.1995   ]],\n",
              "\n",
              "        [[300.82993  , 300.71503  , 300.58954  , ..., 300.1484   ,\n",
              "          300.06454  , 299.99585  ],\n",
              "         [300.77512  , 300.63312  , 300.45087  , ..., 300.295    ,\n",
              "          300.2402   , 300.15436  ],\n",
              "         [300.7619   , 300.57236  , 300.36304  , ..., 300.36502  ,\n",
              "          300.3399   , 300.27322  ],\n",
              "...\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan]],\n",
              "\n",
              "        [[        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         ...,\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan],\n",
              "         [        nan,         nan,         nan, ...,         nan,\n",
              "                  nan,         nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(mousam_power, time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0004338 0.0003513 ... nan nan</div><input id='attrs-1e55f00c-a97e-43ce-802a-94fe9b00a8c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e55f00c-a97e-43ce-802a-94fe9b00a8c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14331679-0e65-4b2a-aed8-76cf27bd59b8' class='xr-var-data-in' type='checkbox'><label for='data-14331679-0e65-4b2a-aed8-76cf27bd59b8' 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>m</dd><dt><span>long_name :</span></dt><dd>Total precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[[4.33772802e-04, 3.51257622e-04, 2.82891095e-04, ...,\n",
              "          5.14161587e-03, 5.35850227e-03, 5.39150834e-03],\n",
              "         [4.64417040e-04, 3.84263694e-04, 3.44187021e-04, ...,\n",
              "          5.53767383e-03, 5.51881641e-03, 5.28542697e-03],\n",
              "         [5.23351133e-04, 3.96050513e-04, 4.03121114e-04, ...,\n",
              "          5.63433021e-03, 5.58010489e-03, 5.39387017e-03],\n",
              "         ...,\n",
              "         [2.52246857e-04, 2.28673220e-04, 1.95667148e-04, ...,\n",
              "          1.72212459e-02, 1.59458593e-02, 2.01114900e-02],\n",
              "         [2.61679292e-04, 2.35743821e-04, 2.07453966e-04, ...,\n",
              "          1.71599500e-02, 1.72471777e-02, 2.05051862e-02],\n",
              "         [2.92323530e-04, 2.47530639e-04, 2.19240785e-04, ...,\n",
              "          1.64385661e-02, 1.72377452e-02, 2.01798566e-02]],\n",
              "\n",
              "        [[1.13864988e-03, 1.07028335e-03, 8.72261822e-04, ...,\n",
              "          2.30323523e-03, 2.41167843e-03, 2.33152509e-03],\n",
              "         [1.16930157e-03, 1.11036003e-03, 9.64201987e-04, ...,\n",
              "          2.45175511e-03, 2.54841149e-03, 2.46354192e-03],\n",
              "         [1.33432448e-03, 1.09621882e-03, 9.07622278e-04, ...,\n",
              "          2.63092667e-03, 2.74172425e-03, 2.59320438e-03],\n",
              "...\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan]],\n",
              "\n",
              "        [[           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         ...,\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan],\n",
              "         [           nan,            nan,            nan, ...,\n",
              "                     nan,            nan,            nan]]]],\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'>(mousam_power, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.979e+03 1.979e+03 ... 12.64 12.64</div><input id='attrs-48554d0a-31ab-43fc-bc6c-a00bf9859b65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48554d0a-31ab-43fc-bc6c-a00bf9859b65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f0c406-be10-42f3-b569-d3cf0dd0954f' class='xr-var-data-in' type='checkbox'><label for='data-86f0c406-be10-42f3-b569-d3cf0dd0954f' 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([[1979.        , 1979.        , 1979.        , ..., 2020.        ,\n",
              "        2020.        , 2020.        ],\n",
              "       [  44.48595284,   44.48595284,   44.48595284, ...,   44.94441011,\n",
              "          44.94441011,   44.94441011],\n",
              "       [  12.55495802,   12.55495802,   12.55495802, ...,   12.64106865,\n",
              "          12.64106865,   12.64106865]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cubed_distance</span></div><div class='xr-var-dims'>(mousam_power, longitude, latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-5.512e+05 -5.512e+05 ... nan nan</div><input id='attrs-b40bc557-4d6d-4330-928f-14badfe030a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b40bc557-4d6d-4330-928f-14badfe030a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8c4193e-9741-4709-af2d-e2030b2de298' class='xr-var-data-in' type='checkbox'><label for='data-f8c4193e-9741-4709-af2d-e2030b2de298' 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([[[-551152.   , -551177.9  , -551201.6  , ..., -555091.9  ,\n",
              "         -555275.   , -555464.   ],\n",
              "        [-546124.4  , -546150.25 , -546174.   , ..., -550064.25 ,\n",
              "         -550247.4  , -550436.4  ],\n",
              "        [-541127.4  , -541153.25 , -541177.   , ..., -545067.25 ,\n",
              "         -545250.4  , -545439.4  ],\n",
              "        ...,\n",
              "        [-105272.58 , -105298.47 , -105322.2  , ..., -109212.45 ,\n",
              "         -109395.56 , -109584.58 ],\n",
              "        [-103607.   , -103632.89 , -103656.625, ..., -107546.875,\n",
              "         -107729.984, -107919.   ],\n",
              "        [-101959.05 , -101984.94 , -102008.67 , ..., -105898.92 ,\n",
              "         -106082.03 , -106271.05 ]],\n",
              "\n",
              "       [[        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "...\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan]],\n",
              "\n",
              "       [[        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        ...,\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan],\n",
              "        [        nan,         nan,         nan, ...,         nan,\n",
              "                 nan,         nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd01c168-f6a4-4f13-a933-8fe68defb30f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd01c168-f6a4-4f13-a933-8fe68defb30f' 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>2020-09-30 12:13:58 GMT by grib_to_netcdf-2.16.0: /opt/ecmwf/eccodes/bin/grib_to_netcdf -S param -o /cache/data3/adaptor.mars.internal-1601467697.5455153-2713-35-661286f3-b9cb-4c3f-adde-4dee82266eee.nc /cache/tmp/661286f3-b9cb-4c3f-adde-4dee82266eee-adaptor.mars.internal-1601467697.546053-2713-11-tmp.grib</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_amazon.sel(time='2019-01-01').tp.plot()   #total precipitation"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "Sw7o5u4JCVSr",
        "outputId": "cf8c273d-5288-4eb1-fe6e-d6fe9e03f51f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b318a290>"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#total precipitation for new data\n",
        "data_4.sel(mousam_power=0,time='2019-01-01').tp.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "5V5ojEZdGQGz",
        "outputId": "fe800e06-38ed-4974-99e4-969cb1d83f7c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b3797950>"
            ]
          },
          "metadata": {},
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#total precipitation for new data but when mousam_power=2\n",
        "data_4.sel(mousam_power=2,time='2019-01-01').tp.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "ilqg2SthHShz",
        "outputId": "bc62d437-894a-4f94-ab02-d27f785c44aa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.QuadMesh at 0x7f74b32d7b50>"
            ]
          },
          "metadata": {},
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=data_amazon.to_dataframe()\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "-crMhnM3HdN1",
        "outputId": "6b630b39-fa13-406b-90fd-44739abe4aed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               expver    lai_hv         skt        tp\n",
              "longitude latitude time                                              \n",
              "-82.00     6.0     1979-01-01       1  0.000000  300.670105  0.000434\n",
              "                   1979-02-01       1  0.000000  300.829926  0.001139\n",
              "                   1979-03-01       1  0.000000  301.014832  0.005566\n",
              "                   1979-04-01       1  0.000000  301.105957  0.011398\n",
              "                   1979-05-01       1  0.000000  300.924347  0.009486\n",
              "...                               ...       ...         ...       ...\n",
              "-46.75    -16.0    2020-04-01       1  1.905231  295.797791  0.004340\n",
              "                   2020-05-01       1  1.735271  293.425049  0.001070\n",
              "                   2020-06-01       1  1.578286  293.098816  0.000035\n",
              "                   2020-07-01       1       NaN         NaN       NaN\n",
              "                   2020-08-01       1       NaN         NaN       NaN\n",
              "\n",
              "[6319000 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-910cdc8f-0e75-4257-b405-b4132a165f8e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>expver</th>\n",
              "      <th>lai_hv</th>\n",
              "      <th>skt</th>\n",
              "      <th>tp</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">-82.00</th>\n",
              "      <th rowspan=\"5\" valign=\"top\">6.0</th>\n",
              "      <th>1979-01-01</th>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>300.670105</td>\n",
              "      <td>0.000434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-02-01</th>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>300.829926</td>\n",
              "      <td>0.001139</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-03-01</th>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>301.014832</td>\n",
              "      <td>0.005566</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-04-01</th>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>301.105957</td>\n",
              "      <td>0.011398</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-05-01</th>\n",
              "      <td>1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>300.924347</td>\n",
              "      <td>0.009486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">-46.75</th>\n",
              "      <th rowspan=\"5\" valign=\"top\">-16.0</th>\n",
              "      <th>2020-04-01</th>\n",
              "      <td>1</td>\n",
              "      <td>1.905231</td>\n",
              "      <td>295.797791</td>\n",
              "      <td>0.004340</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-01</th>\n",
              "      <td>1</td>\n",
              "      <td>1.735271</td>\n",
              "      <td>293.425049</td>\n",
              "      <td>0.001070</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-01</th>\n",
              "      <td>1</td>\n",
              "      <td>1.578286</td>\n",
              "      <td>293.098816</td>\n",
              "      <td>0.000035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-07-01</th>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-08-01</th>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6319000 rows × 4 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-910cdc8f-0e75-4257-b405-b4132a165f8e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-910cdc8f-0e75-4257-b405-b4132a165f8e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-910cdc8f-0e75-4257-b405-b4132a165f8e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# for time but only month\n",
        "da=data_amazon.time.dt.month\n",
        "da.to_dataframe()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "4eLMWAttIAXp",
        "outputId": "a180667a-e19b-4810-af51-ecc6e59d0def"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            expver  month\n",
              "time                     \n",
              "1979-01-01       1      1\n",
              "1979-02-01       1      2\n",
              "1979-03-01       1      3\n",
              "1979-04-01       1      4\n",
              "1979-05-01       1      5\n",
              "...            ...    ...\n",
              "2020-04-01       1      4\n",
              "2020-05-01       1      5\n",
              "2020-06-01       1      6\n",
              "2020-07-01       1      7\n",
              "2020-08-01       1      8\n",
              "\n",
              "[500 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-610ae01a-21d4-4212-82a0-21f44a46407b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>expver</th>\n",
              "      <th>month</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>time</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1979-01-01</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-02-01</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-03-01</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-04-01</th>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1979-05-01</th>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-04-01</th>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-05-01</th>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-01</th>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-07-01</th>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-08-01</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>500 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-610ae01a-21d4-4212-82a0-21f44a46407b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-610ae01a-21d4-4212-82a0-21f44a46407b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-610ae01a-21d4-4212-82a0-21f44a46407b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#we can do this in pandas to\n",
        "da.to_series()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eZMtxQ6yILAc",
        "outputId": "935b6785-59e1-4d64-8c0c-b3f7f08b9a69"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "time\n",
              "1979-01-01    1\n",
              "1979-02-01    2\n",
              "1979-03-01    3\n",
              "1979-04-01    4\n",
              "1979-05-01    5\n",
              "             ..\n",
              "2020-04-01    4\n",
              "2020-05-01    5\n",
              "2020-06-01    6\n",
              "2020-07-01    7\n",
              "2020-08-01    8\n",
              "Name: month, Length: 500, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# we can retrieve xarray dataset\n",
        "xr.Dataset.from_dataframe(df) #but some metadata will be lost"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "4QpKg_72IiTd",
        "outputId": "bbf97885-ca12-4148-9a66-a99f165fd8fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:    (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float64 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float64 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    expver     (longitude, latitude, time) int32 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1\n",
              "    lai_hv     (longitude, latitude, time) float32 0.0 0.0 0.0 ... 1.578 nan nan\n",
              "    skt        (longitude, latitude, time) float32 300.7 300.8 301.0 ... nan nan\n",
              "    tp         (longitude, latitude, time) float32 0.0004338 0.001139 ... nan"
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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:    (longitude: 142, latitude: 89, time: 500)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float64 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float64 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01\n",
              "Data variables:\n",
              "    expver     (longitude, latitude, time) int32 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1\n",
              "    lai_hv     (longitude, latitude, time) float32 0.0 0.0 0.0 ... 1.578 nan nan\n",
              "    skt        (longitude, latitude, time) float32 300.7 300.8 301.0 ... nan nan\n",
              "    tp         (longitude, latitude, time) float32 0.0004338 0.001139 ... nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ddc5fff8-5534-41e4-90d4-39742dd541a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ddc5fff8-5534-41e4-90d4-39742dd541a7' 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'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-91b99993-5300-43a2-981a-8182e4c22f17' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91b99993-5300-43a2-981a-8182e4c22f17' 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'>float64</div><div class='xr-var-preview xr-preview'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-9ebdf9d9-bb74-47a0-86f0-3e6c6afd79b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ebdf9d9-bb74-47a0-86f0-3e6c6afd79b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbbceb1f-5ed4-41b9-83bf-1db279bccf3d' class='xr-var-data-in' type='checkbox'><label for='data-fbbceb1f-5ed4-41b9-83bf-1db279bccf3d' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-b2eaf4a8-e2df-4f50-894c-98bf9b74456e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2eaf4a8-e2df-4f50-894c-98bf9b74456e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a190a08d-8918-4cd8-81bd-bdb0ef67b908' class='xr-var-data-in' type='checkbox'><label for='data-a190a08d-8918-4cd8-81bd-bdb0ef67b908' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ])</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'>1979-01-01 ... 2020-08-01</div><input id='attrs-198cf14e-a3d0-4ffe-a01f-6605d6570e50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-198cf14e-a3d0-4ffe-a01f-6605d6570e50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5105c7d6-22f6-46c2-b7a6-02637200895f' class='xr-var-data-in' type='checkbox'><label for='data-5105c7d6-22f6-46c2-b7a6-02637200895f' 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([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d14f6d0d-85f5-4c0b-aa84-d5b72ee85141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d14f6d0d-85f5-4c0b-aa84-d5b72ee85141' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>expver</span></div><div class='xr-var-dims'>(longitude, latitude, time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-6d295bb2-5819-426a-9dd5-3d017db40295' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d295bb2-5819-426a-9dd5-3d017db40295' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62911aff-0149-42a3-98ac-6e176162f0be' class='xr-var-data-in' type='checkbox'><label for='data-62911aff-0149-42a3-98ac-6e176162f0be' 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([[[1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        ...,\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1]],\n",
              "\n",
              "       [[1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        ...,\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1]],\n",
              "\n",
              "       [[1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        ...,\n",
              "...\n",
              "        ...,\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1]],\n",
              "\n",
              "       [[1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        ...,\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1]],\n",
              "\n",
              "       [[1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        ...,\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1],\n",
              "        [1, 1, 1, ..., 1, 1, 1]]], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</span></div><div class='xr-var-dims'>(longitude, latitude, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 1.578 nan nan</div><input id='attrs-4814a9ea-ef0d-48fd-9f7c-cf6d5fa7da7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4814a9ea-ef0d-48fd-9f7c-cf6d5fa7da7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5757f705-7629-48e6-b05a-520c14bcc6a2' class='xr-var-data-in' type='checkbox'><label for='data-5757f705-7629-48e6-b05a-520c14bcc6a2' 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([[[0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "...\n",
              "        [1.9542075, 2.031835 , 1.9719386, ..., 1.5026045,       nan,\n",
              "               nan],\n",
              "        [1.9291245, 2.0327   , 1.9432877, ..., 1.457736 ,       nan,\n",
              "               nan],\n",
              "        [1.9626405, 2.0569181, 1.9851289, ..., 1.529958 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        [0.       , 0.       , 0.       , ..., 0.       ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [1.9683708, 2.065892 , 2.011077 , ..., 1.5897465,       nan,\n",
              "               nan],\n",
              "        [1.9609107, 2.0558372, 1.9931295, ..., 1.5671501,       nan,\n",
              "               nan],\n",
              "        [1.9866425, 2.0768118, 1.9934539, ..., 1.578286 ,       nan,\n",
              "               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(longitude, latitude, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.7 300.8 301.0 ... 293.1 nan nan</div><input id='attrs-d9cff3d3-7b97-43b3-816c-27164c30e240' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9cff3d3-7b97-43b3-816c-27164c30e240' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e88964e1-c0a0-45b7-a833-b63403049984' class='xr-var-data-in' type='checkbox'><label for='data-e88964e1-c0a0-45b7-a833-b63403049984' 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([[[300.6701 , 300.82993, 301.01483, ..., 300.857  ,       nan,\n",
              "               nan],\n",
              "        [300.647  , 300.77512, 300.85104, ..., 300.8352 ,       nan,\n",
              "               nan],\n",
              "        [300.6351 , 300.7619 , 300.71237, ..., 300.8121 ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.848  , 296.73026, 297.36688, ..., 293.81006,       nan,\n",
              "               nan],\n",
              "        [295.81894, 296.68536, 297.25528, ..., 293.8061 ,       nan,\n",
              "               nan],\n",
              "        [295.77206, 296.6583 , 297.15753, ..., 293.6714 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[300.60406, 300.71503, 300.84116, ..., 300.79227,       nan,\n",
              "               nan],\n",
              "        [300.58426, 300.63312, 300.65756, ..., 300.80417,       nan,\n",
              "               nan],\n",
              "        [300.56906, 300.57236, 300.47595, ..., 300.7784 ,       nan,\n",
              "               nan],\n",
              "...\n",
              "        [295.55347, 296.13065, 296.93893, ..., 293.72025,       nan,\n",
              "               nan],\n",
              "        [295.31308, 295.9061 , 296.6028 , ..., 293.30817,       nan,\n",
              "               nan],\n",
              "        [295.3362 , 296.01376, 296.56384, ..., 293.1675 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[299.58643, 299.99585, 300.03284, ..., 301.48172,       nan,\n",
              "               nan],\n",
              "        [299.75018, 300.15436, 300.1418 , ..., 301.52466,       nan,\n",
              "               nan],\n",
              "        [299.8968 , 300.27322, 300.2303 , ..., 301.59332,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.77997, 296.26733, 297.01688, ..., 293.55383,       nan,\n",
              "               nan],\n",
              "        [295.47687, 295.99988, 296.6596 , ..., 293.22165,       nan,\n",
              "               nan],\n",
              "        [295.1995 , 295.83215, 296.38223, ..., 293.09882,       nan,\n",
              "               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(longitude, latitude, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0004338 0.001139 ... nan nan</div><input id='attrs-312d945a-e5b1-4664-b5e6-678d86e4c76d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-312d945a-e5b1-4664-b5e6-678d86e4c76d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42f99933-6b16-40ad-a2b4-c20fd48ef70f' class='xr-var-data-in' type='checkbox'><label for='data-42f99933-6b16-40ad-a2b4-c20fd48ef70f' 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([[[4.33772802e-04, 1.13864988e-03, 5.56596369e-03, ...,\n",
              "         1.69454217e-02,            nan,            nan],\n",
              "        [4.64417040e-04, 1.16930157e-03, 5.17698377e-03, ...,\n",
              "         1.67426802e-02,            nan,            nan],\n",
              "        [5.23351133e-04, 1.33432448e-03, 3.52204591e-03, ...,\n",
              "         1.44700855e-02,            nan,            nan],\n",
              "        ...,\n",
              "        [2.52246857e-04, 2.31027603e-04, 3.84263694e-04, ...,\n",
              "         4.87990677e-04,            nan,            nan],\n",
              "        [2.61679292e-04, 2.16886401e-04, 3.53619456e-04, ...,\n",
              "         4.73849475e-04,            nan,            nan],\n",
              "        [2.92323530e-04, 2.42814422e-04, 3.65406275e-04, ...,\n",
              "         4.26702201e-04,            nan,            nan]],\n",
              "\n",
              "       [[3.51257622e-04, 1.07028335e-03, 4.79742885e-03, ...,\n",
              "         1.58609897e-02,            nan,            nan],\n",
              "        [3.84263694e-04, 1.11036003e-03, 4.70077246e-03, ...,\n",
              "         1.65281519e-02,            nan,            nan],\n",
              "        [3.96050513e-04, 1.09621882e-03, 3.68942320e-03, ...,\n",
              "         1.38500780e-02,            nan,            nan],\n",
              "...\n",
              "        [1.59458593e-02, 1.03162453e-02, 6.07988983e-03, ...,\n",
              "         2.59280205e-05,            nan,            nan],\n",
              "        [1.72471777e-02, 1.13158077e-02, 5.05203754e-03, ...,\n",
              "         2.59280205e-05,            nan,            nan],\n",
              "        [1.72377452e-02, 1.21149868e-02, 5.10861725e-03, ...,\n",
              "         2.35736370e-05,            nan,            nan]],\n",
              "\n",
              "       [[5.39150834e-03, 2.33152509e-03, 4.50510532e-03, ...,\n",
              "         7.33641535e-03,            nan,            nan],\n",
              "        [5.28542697e-03, 2.46354192e-03, 5.22648543e-03, ...,\n",
              "         7.56508857e-03,            nan,            nan],\n",
              "        [5.39387017e-03, 2.59320438e-03, 6.16711378e-03, ...,\n",
              "         1.04600489e-02,            nan,            nan],\n",
              "        ...,\n",
              "        [2.01114900e-02, 1.01040751e-02, 5.62961400e-03, ...,\n",
              "         3.77148390e-05,            nan,            nan],\n",
              "        [2.05051862e-02, 1.13841742e-02, 5.21941483e-03, ...,\n",
              "         4.24310565e-05,            nan,            nan],\n",
              "        [2.01798566e-02, 1.29542425e-02, 6.02331012e-03, ...,\n",
              "         3.53604555e-05,            nan,            nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6236ea20-1ef1-4b64-b4c9-175be544b82b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6236ea20-1ef1-4b64-b4c9-175be544b82b' 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>"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#same way we can retrieve xarray datasets from pandas as well\n",
        "xr.DataArray.from_series(df.skt) #lets test for skt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 885
        },
        "id": "xFJI3ampI6-l",
        "outputId": "199ef8fc-dc5f-4d3d-963d-f056a4e7642a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.DataArray 'skt' (longitude: 142, latitude: 89, time: 500)>\n",
              "array([[[300.6701 , 300.82993, 301.01483, ..., 300.857  ,       nan,\n",
              "               nan],\n",
              "        [300.647  , 300.77512, 300.85104, ..., 300.8352 ,       nan,\n",
              "               nan],\n",
              "        [300.6351 , 300.7619 , 300.71237, ..., 300.8121 ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.848  , 296.73026, 297.36688, ..., 293.81006,       nan,\n",
              "               nan],\n",
              "        [295.81894, 296.68536, 297.25528, ..., 293.8061 ,       nan,\n",
              "               nan],\n",
              "        [295.77206, 296.6583 , 297.15753, ..., 293.6714 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[300.60406, 300.71503, 300.84116, ..., 300.79227,       nan,\n",
              "               nan],\n",
              "        [300.58426, 300.63312, 300.65756, ..., 300.80417,       nan,\n",
              "               nan],\n",
              "        [300.56906, 300.57236, 300.47595, ..., 300.7784 ,       nan,\n",
              "               nan],\n",
              "...\n",
              "        [295.55347, 296.13065, 296.93893, ..., 293.72025,       nan,\n",
              "               nan],\n",
              "        [295.31308, 295.9061 , 296.6028 , ..., 293.30817,       nan,\n",
              "               nan],\n",
              "        [295.3362 , 296.01376, 296.56384, ..., 293.1675 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[299.58643, 299.99585, 300.03284, ..., 301.48172,       nan,\n",
              "               nan],\n",
              "        [299.75018, 300.15436, 300.1418 , ..., 301.52466,       nan,\n",
              "               nan],\n",
              "        [299.8968 , 300.27322, 300.2303 , ..., 301.59332,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.77997, 296.26733, 297.01688, ..., 293.55383,       nan,\n",
              "               nan],\n",
              "        [295.47687, 295.99988, 296.6596 , ..., 293.22165,       nan,\n",
              "               nan],\n",
              "        [295.1995 , 295.83215, 296.38223, ..., 293.09882,       nan,\n",
              "               nan]]], dtype=float32)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float64 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float64 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01"
            ],
            "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 !important;\n",
              "  min-width: 300px;\n",
              "  max-width: 700px;\n",
              "}\n",
              "\n",
              ".xr-text-repr-fallback {\n",
              "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-header {\n",
              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
              "  margin-bottom: 4px;\n",
              "  border-bottom: solid 1px var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-header > div,\n",
              ".xr-header > ul {\n",
              "  display: inline;\n",
              "  margin-top: 0;\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-obj-type,\n",
              ".xr-array-name {\n",
              "  margin-left: 2px;\n",
              "  margin-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-obj-type {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-sections {\n",
              "  padding-left: 0 !important;\n",
              "  display: grid;\n",
              "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
              "}\n",
              "\n",
              ".xr-section-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-section-item input {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-item input + label {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label {\n",
              "  cursor: pointer;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-item input:enabled + label:hover {\n",
              "  color: var(--xr-font-color0);\n",
              "}\n",
              "\n",
              ".xr-section-summary {\n",
              "  grid-column: 1;\n",
              "  color: var(--xr-font-color2);\n",
              "  font-weight: 500;\n",
              "}\n",
              "\n",
              ".xr-section-summary > span {\n",
              "  display: inline-block;\n",
              "  padding-left: 0.5em;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label {\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in + label:before {\n",
              "  display: inline-block;\n",
              "  content: '►';\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: '▼';\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details {\n",
              "  padding-top: 4px;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  display: none;\n",
              "  grid-column: 1 / -1;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: '(';\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: ')';\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: ',';\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  margin-bottom: 0;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-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;skt&#x27; (longitude: 142, latitude: 89, time: 500)&gt;\n",
              "array([[[300.6701 , 300.82993, 301.01483, ..., 300.857  ,       nan,\n",
              "               nan],\n",
              "        [300.647  , 300.77512, 300.85104, ..., 300.8352 ,       nan,\n",
              "               nan],\n",
              "        [300.6351 , 300.7619 , 300.71237, ..., 300.8121 ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.848  , 296.73026, 297.36688, ..., 293.81006,       nan,\n",
              "               nan],\n",
              "        [295.81894, 296.68536, 297.25528, ..., 293.8061 ,       nan,\n",
              "               nan],\n",
              "        [295.77206, 296.6583 , 297.15753, ..., 293.6714 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[300.60406, 300.71503, 300.84116, ..., 300.79227,       nan,\n",
              "               nan],\n",
              "        [300.58426, 300.63312, 300.65756, ..., 300.80417,       nan,\n",
              "               nan],\n",
              "        [300.56906, 300.57236, 300.47595, ..., 300.7784 ,       nan,\n",
              "               nan],\n",
              "...\n",
              "        [295.55347, 296.13065, 296.93893, ..., 293.72025,       nan,\n",
              "               nan],\n",
              "        [295.31308, 295.9061 , 296.6028 , ..., 293.30817,       nan,\n",
              "               nan],\n",
              "        [295.3362 , 296.01376, 296.56384, ..., 293.1675 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[299.58643, 299.99585, 300.03284, ..., 301.48172,       nan,\n",
              "               nan],\n",
              "        [299.75018, 300.15436, 300.1418 , ..., 301.52466,       nan,\n",
              "               nan],\n",
              "        [299.8968 , 300.27322, 300.2303 , ..., 301.59332,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.77997, 296.26733, 297.01688, ..., 293.55383,       nan,\n",
              "               nan],\n",
              "        [295.47687, 295.99988, 296.6596 , ..., 293.22165,       nan,\n",
              "               nan],\n",
              "        [295.1995 , 295.83215, 296.38223, ..., 293.09882,       nan,\n",
              "               nan]]], dtype=float32)\n",
              "Coordinates:\n",
              "  * longitude  (longitude) float64 -82.0 -81.75 -81.5 ... -47.25 -47.0 -46.75\n",
              "  * latitude   (latitude) float64 6.0 5.75 5.5 5.25 ... -15.5 -15.75 -16.0\n",
              "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'skt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>longitude</span>: 142</li><li><span class='xr-has-index'>latitude</span>: 89</li><li><span class='xr-has-index'>time</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a6cfe274-9a74-404e-83c8-3bfb08b8a5b6' class='xr-array-in' type='checkbox' checked><label for='section-a6cfe274-9a74-404e-83c8-3bfb08b8a5b6' 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>300.7 300.8 301.0 301.1 300.9 300.4 ... 295.8 293.4 293.1 nan nan</span></div><div class='xr-array-data'><pre>array([[[300.6701 , 300.82993, 301.01483, ..., 300.857  ,       nan,\n",
              "               nan],\n",
              "        [300.647  , 300.77512, 300.85104, ..., 300.8352 ,       nan,\n",
              "               nan],\n",
              "        [300.6351 , 300.7619 , 300.71237, ..., 300.8121 ,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.848  , 296.73026, 297.36688, ..., 293.81006,       nan,\n",
              "               nan],\n",
              "        [295.81894, 296.68536, 297.25528, ..., 293.8061 ,       nan,\n",
              "               nan],\n",
              "        [295.77206, 296.6583 , 297.15753, ..., 293.6714 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[300.60406, 300.71503, 300.84116, ..., 300.79227,       nan,\n",
              "               nan],\n",
              "        [300.58426, 300.63312, 300.65756, ..., 300.80417,       nan,\n",
              "               nan],\n",
              "        [300.56906, 300.57236, 300.47595, ..., 300.7784 ,       nan,\n",
              "               nan],\n",
              "...\n",
              "        [295.55347, 296.13065, 296.93893, ..., 293.72025,       nan,\n",
              "               nan],\n",
              "        [295.31308, 295.9061 , 296.6028 , ..., 293.30817,       nan,\n",
              "               nan],\n",
              "        [295.3362 , 296.01376, 296.56384, ..., 293.1675 ,       nan,\n",
              "               nan]],\n",
              "\n",
              "       [[299.58643, 299.99585, 300.03284, ..., 301.48172,       nan,\n",
              "               nan],\n",
              "        [299.75018, 300.15436, 300.1418 , ..., 301.52466,       nan,\n",
              "               nan],\n",
              "        [299.8968 , 300.27322, 300.2303 , ..., 301.59332,       nan,\n",
              "               nan],\n",
              "        ...,\n",
              "        [295.77997, 296.26733, 297.01688, ..., 293.55383,       nan,\n",
              "               nan],\n",
              "        [295.47687, 295.99988, 296.6596 , ..., 293.22165,       nan,\n",
              "               nan],\n",
              "        [295.1995 , 295.83215, 296.38223, ..., 293.09882,       nan,\n",
              "               nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a7ab38ff-db73-4e33-be21-27a44ad144fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7ab38ff-db73-4e33-be21-27a44ad144fc' 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'>float64</div><div class='xr-var-preview xr-preview'>-82.0 -81.75 -81.5 ... -47.0 -46.75</div><input id='attrs-3bdfaec4-9245-4bdf-8e8e-bfb8412b9f3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bdfaec4-9245-4bdf-8e8e-bfb8412b9f3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec86717b-c60b-484a-96b6-b22becb46b1f' class='xr-var-data-in' type='checkbox'><label for='data-ec86717b-c60b-484a-96b6-b22becb46b1f' 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([-82.  , -81.75, -81.5 , -81.25, -81.  , -80.75, -80.5 , -80.25, -80.  ,\n",
              "       -79.75, -79.5 , -79.25, -79.  , -78.75, -78.5 , -78.25, -78.  , -77.75,\n",
              "       -77.5 , -77.25, -77.  , -76.75, -76.5 , -76.25, -76.  , -75.75, -75.5 ,\n",
              "       -75.25, -75.  , -74.75, -74.5 , -74.25, -74.  , -73.75, -73.5 , -73.25,\n",
              "       -73.  , -72.75, -72.5 , -72.25, -72.  , -71.75, -71.5 , -71.25, -71.  ,\n",
              "       -70.75, -70.5 , -70.25, -70.  , -69.75, -69.5 , -69.25, -69.  , -68.75,\n",
              "       -68.5 , -68.25, -68.  , -67.75, -67.5 , -67.25, -67.  , -66.75, -66.5 ,\n",
              "       -66.25, -66.  , -65.75, -65.5 , -65.25, -65.  , -64.75, -64.5 , -64.25,\n",
              "       -64.  , -63.75, -63.5 , -63.25, -63.  , -62.75, -62.5 , -62.25, -62.  ,\n",
              "       -61.75, -61.5 , -61.25, -61.  , -60.75, -60.5 , -60.25, -60.  , -59.75,\n",
              "       -59.5 , -59.25, -59.  , -58.75, -58.5 , -58.25, -58.  , -57.75, -57.5 ,\n",
              "       -57.25, -57.  , -56.75, -56.5 , -56.25, -56.  , -55.75, -55.5 , -55.25,\n",
              "       -55.  , -54.75, -54.5 , -54.25, -54.  , -53.75, -53.5 , -53.25, -53.  ,\n",
              "       -52.75, -52.5 , -52.25, -52.  , -51.75, -51.5 , -51.25, -51.  , -50.75,\n",
              "       -50.5 , -50.25, -50.  , -49.75, -49.5 , -49.25, -49.  , -48.75, -48.5 ,\n",
              "       -48.25, -48.  , -47.75, -47.5 , -47.25, -47.  , -46.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.0 5.75 5.5 ... -15.5 -15.75 -16.0</div><input id='attrs-9e7c023a-988e-4740-b2bf-854186b5ac57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e7c023a-988e-4740-b2bf-854186b5ac57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e6d4d3e-f33f-499c-af6d-232eabbfaf36' class='xr-var-data-in' type='checkbox'><label for='data-1e6d4d3e-f33f-499c-af6d-232eabbfaf36' 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([  6.  ,   5.75,   5.5 ,   5.25,   5.  ,   4.75,   4.5 ,   4.25,   4.  ,\n",
              "         3.75,   3.5 ,   3.25,   3.  ,   2.75,   2.5 ,   2.25,   2.  ,   1.75,\n",
              "         1.5 ,   1.25,   1.  ,   0.75,   0.5 ,   0.25,   0.  ,  -0.25,  -0.5 ,\n",
              "        -0.75,  -1.  ,  -1.25,  -1.5 ,  -1.75,  -2.  ,  -2.25,  -2.5 ,  -2.75,\n",
              "        -3.  ,  -3.25,  -3.5 ,  -3.75,  -4.  ,  -4.25,  -4.5 ,  -4.75,  -5.  ,\n",
              "        -5.25,  -5.5 ,  -5.75,  -6.  ,  -6.25,  -6.5 ,  -6.75,  -7.  ,  -7.25,\n",
              "        -7.5 ,  -7.75,  -8.  ,  -8.25,  -8.5 ,  -8.75,  -9.  ,  -9.25,  -9.5 ,\n",
              "        -9.75, -10.  , -10.25, -10.5 , -10.75, -11.  , -11.25, -11.5 , -11.75,\n",
              "       -12.  , -12.25, -12.5 , -12.75, -13.  , -13.25, -13.5 , -13.75, -14.  ,\n",
              "       -14.25, -14.5 , -14.75, -15.  , -15.25, -15.5 , -15.75, -16.  ])</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'>1979-01-01 ... 2020-08-01</div><input id='attrs-5c2cd767-cc1e-45ce-937a-d31a497f3381' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c2cd767-cc1e-45ce-937a-d31a497f3381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c873ad6-c7e9-4baa-baa7-f016874cc738' class='xr-var-data-in' type='checkbox'><label for='data-0c873ad6-c7e9-4baa-baa7-f016874cc738' 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([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2020-06-01T00:00:00.000000000&#x27;,\n",
              "       &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],\n",
              "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9785d2d-a1d0-4d97-b305-53767c920ddd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e9785d2d-a1d0-4d97-b305-53767c920ddd' 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>"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Thank You................................**"
      ],
      "metadata": {
        "id": "9AiBJ4eBJXDJ"
      }
    }
  ]
}