Downloading cmip6 data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0e3661e6",
   "metadata": {},
   "source": [
    "# This is a code to Download the CMIP6 Data from different modeles for any area for all ssp Scenario"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "196320ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# first install and improt the requared packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bcfbf42a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import zarr\n",
    "import gcsfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0067b9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Data search\n",
    "#The CMIP6 data catalog is stored as a CSV file. We can read it with Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c783bee6",
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>HighResMIP</td>\n",
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       "      <td>highresSST-present</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>psl</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20170706</td>\n",
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      "text/plain": [
       "  activity_id institution_id     source_id       experiment_id member_id  \\\n",
       "0  HighResMIP           CMCC  CMCC-CM2-HR4  highresSST-present  r1i1p1f1   \n",
       "1  HighResMIP           CMCC  CMCC-CM2-HR4  highresSST-present  r1i1p1f1   \n",
       "2  HighResMIP           CMCC  CMCC-CM2-HR4  highresSST-present  r1i1p1f1   \n",
       "3  HighResMIP           CMCC  CMCC-CM2-HR4  highresSST-present  r1i1p1f1   \n",
       "4  HighResMIP           CMCC  CMCC-CM2-HR4  highresSST-present  r1i1p1f1   \n",
       "\n",
       "  table_id variable_id grid_label  \\\n",
       "0     Amon          ps         gn   \n",
       "1     Amon        rsds         gn   \n",
       "2     Amon        rlus         gn   \n",
       "3     Amon        rlds         gn   \n",
       "4     Amon         psl         gn   \n",
       "\n",
       "                                              zstore  dcpp_init_year   version  \n",
       "0  gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...             NaN  20170706  \n",
       "1  gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...             NaN  20170706  \n",
       "2  gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...             NaN  20170706  \n",
       "3  gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...             NaN  20170706  \n",
       "4  gs://cmip6/CMIP6/HighResMIP/CMCC/CMCC-CM2-HR4/...             NaN  20170706  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('https://storage.googleapis.com/cmip6/cmip6-zarr-consolidated-stores.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "95a2b13a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Next, we will filter the data to find monthly tas, tasmax,tasmin and pr for historical and ssp experiments for CanESM5\n",
    "# but you can also use any other model as you want"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "99c3ce1f",
   "metadata": {},
   "outputs": [
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       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>ssp119</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tasmax</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151016</th>\n",
       "      <td>ScenarioMIP</td>\n",
       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>ssp126</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tasmax</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151017</th>\n",
       "      <td>ScenarioMIP</td>\n",
       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>ssp126</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151031</th>\n",
       "      <td>ScenarioMIP</td>\n",
       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>ssp126</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>Amon</td>\n",
       "      <td>pr</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        activity_id institution_id source_id experiment_id member_id table_id  \\\n",
       "56668   ScenarioMIP          CCCma   CanESM5        ssp119  r1i1p1f1     Amon   \n",
       "57314   ScenarioMIP          CCCma   CanESM5        ssp370  r1i1p1f1     Amon   \n",
       "57316   ScenarioMIP          CCCma   CanESM5        ssp370  r1i1p1f1     Amon   \n",
       "57339   ScenarioMIP          CCCma   CanESM5        ssp126  r1i1p1f1     Amon   \n",
       "84643   ScenarioMIP          CCCma   CanESM5        ssp370  r1i1p1f1     Amon   \n",
       "86050   ScenarioMIP          CCCma   CanESM5        ssp370  r1i1p1f1     Amon   \n",
       "94450   ScenarioMIP          CCCma   CanESM5        ssp585  r1i1p1f1     Amon   \n",
       "94451   ScenarioMIP          CCCma   CanESM5        ssp585  r1i1p1f1     Amon   \n",
       "94452   ScenarioMIP          CCCma   CanESM5        ssp585  r1i1p1f1     Amon   \n",
       "97575   ScenarioMIP          CCCma   CanESM5        ssp585  r1i1p1f1     Amon   \n",
       "100289         CMIP          CCCma   CanESM5    historical  r1i1p1f1     Amon   \n",
       "100290         CMIP          CCCma   CanESM5    historical  r1i1p1f1     Amon   \n",
       "100305         CMIP          CCCma   CanESM5    historical  r1i1p1f1     Amon   \n",
       "100411         CMIP          CCCma   CanESM5    historical  r1i1p1f1     Amon   \n",
       "110260  ScenarioMIP          CCCma   CanESM5        ssp245  r1i1p1f1     Amon   \n",
       "110673  ScenarioMIP          CCCma   CanESM5        ssp245  r1i1p1f1     Amon   \n",
       "110674  ScenarioMIP          CCCma   CanESM5        ssp245  r1i1p1f1     Amon   \n",
       "110675  ScenarioMIP          CCCma   CanESM5        ssp245  r1i1p1f1     Amon   \n",
       "130747  ScenarioMIP          CCCma   CanESM5        ssp119  r1i1p1f1     Amon   \n",
       "130759  ScenarioMIP          CCCma   CanESM5        ssp119  r1i1p1f1     Amon   \n",
       "130760  ScenarioMIP          CCCma   CanESM5        ssp119  r1i1p1f1     Amon   \n",
       "151016  ScenarioMIP          CCCma   CanESM5        ssp126  r1i1p1f1     Amon   \n",
       "151017  ScenarioMIP          CCCma   CanESM5        ssp126  r1i1p1f1     Amon   \n",
       "151031  ScenarioMIP          CCCma   CanESM5        ssp126  r1i1p1f1     Amon   \n",
       "\n",
       "       variable_id grid_label  \\\n",
       "56668       tasmin         gn   \n",
       "57314       tasmax         gn   \n",
       "57316       tasmin         gn   \n",
       "57339       tasmin         gn   \n",
       "84643           pr         gn   \n",
       "86050          tas         gn   \n",
       "94450       tasmin         gn   \n",
       "94451       tasmax         gn   \n",
       "94452          tas         gn   \n",
       "97575           pr         gn   \n",
       "100289      tasmin         gn   \n",
       "100290      tasmax         gn   \n",
       "100305         tas         gn   \n",
       "100411          pr         gn   \n",
       "110260          pr         gn   \n",
       "110673         tas         gn   \n",
       "110674      tasmax         gn   \n",
       "110675      tasmin         gn   \n",
       "130747          pr         gn   \n",
       "130759         tas         gn   \n",
       "130760      tasmax         gn   \n",
       "151016      tasmax         gn   \n",
       "151017         tas         gn   \n",
       "151031          pr         gn   \n",
       "\n",
       "                                                   zstore  dcpp_init_year  \\\n",
       "56668   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "57314   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "57316   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "57339   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "84643   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "86050   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "94450   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "94451   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "94452   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "97575   gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "100289  gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "100290  gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "100305  gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "100411  gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "110260  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "110673  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "110674  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "110675  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "130747  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "130759  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "130760  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "151016  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "151017  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "151031  gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp...             NaN   \n",
       "\n",
       "         version  \n",
       "56668   20190306  \n",
       "57314   20190306  \n",
       "57316   20190306  \n",
       "57339   20190306  \n",
       "84643   20190429  \n",
       "86050   20190429  \n",
       "94450   20190429  \n",
       "94451   20190429  \n",
       "94452   20190429  \n",
       "97575   20190429  \n",
       "100289  20190429  \n",
       "100290  20190429  \n",
       "100305  20190429  \n",
       "100411  20190429  \n",
       "110260  20190429  \n",
       "110673  20190429  \n",
       "110674  20190429  \n",
       "110675  20190429  \n",
       "130747  20190429  \n",
       "130759  20190429  \n",
       "130760  20190429  \n",
       "151016  20190429  \n",
       "151017  20190429  \n",
       "151031  20190429  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ta = df.query(\"table_id == 'Amon' & source_id == 'CanESM5' & variable_id == ['tas','tasmax','tasmin','pr'] & experiment_id == ['historical','ssp119','ssp126','ssp245','ssp370','ssp585'] & member_id =='r1i1p1f1'\")\n",
    "df_ta\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e0f73a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# the above rur what does this tell us is This dataframe tells us that the data we are looking for is available in the CMIP6 Google \n",
    "# Cloud archive and the zstore column tells us where to find each file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2d6de43",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Accessing publicly available data on Google Cloud\n",
    "# To access Google Cloud, we need to gain access using the gcsfc package. \n",
    "# We will only be accessing publicly available data, so we can use an anonymous access mode of user authentication."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "46afab7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "gcs = gcsfs.GCSFileSystem(token='anon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5912ed47",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now that we have access to Google Cloud, let’s take a look at the first file location."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "236a2cce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gs://cmip6/CMIP6/ScenarioMIP/CCCma/CanESM5/ssp119/r1i1p1f1/Amon/tasmin/gn/v20190306/\n"
     ]
    }
   ],
   "source": [
    "# Get the path to a specific zarr store (the first one from the dataframe above)\n",
    "zstore = df_ta.zstore.values[0]\n",
    "print(zstore)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db70be29",
   "metadata": {},
   "outputs": [],
   "source": [
    "# What we see if a path to the file location. \n",
    "# We will use this path to open the file. There are two steps involved. \n",
    "# The first is to create an interface to the file using the above path and the second is to open the file using the interface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1da6e9b3",
   "metadata": {},
   "outputs": [
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       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lat: 64, bnds: 2, lon: 128, time: 1032)\n",
       "Coordinates:\n",
       "    height     float64 ...\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "  * time       (time) object 2015-01-16 12:00:00 ... 2100-12-16 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    tasmin     (time, lat, lon) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            05c0a773433926e46ebc3af8139a0b5aa217871d\n",
       "    CCCma_parent_runid:          rc3.1-his01\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-s1901\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   2015:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1...\n",
       "    variable_id:                 tasmin\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1...\n",
       "    version_id:                  v20190306</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-10a8ade5-6b56-41f3-a18c-59bfc6139dd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10a8ade5-6b56-41f3-a18c-59bfc6139dd9' 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'>lat</span>: 64</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>time</span>: 1032</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c2034d3-6a0e-4695-a402-35e57d6ee53a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c2034d3-6a0e-4695-a402-35e57d6ee53a' class='xr-section-summary' >Coordinates: <span>(7)</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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67f41f37-86d5-4307-8fc7-8b268728009f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67f41f37-86d5-4307-8fc7-8b268728009f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc779380-39b2-474d-b997-b24ccdf5c461' class='xr-var-data-in' type='checkbox'><label for='data-dc779380-39b2-474d-b997-b24ccdf5c461' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-4863a7cc-31e3-472f-b5cb-7149d01e7974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4863a7cc-31e3-472f-b5cb-7149d01e7974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cf2c1c9-098b-4fd8-b437-084daf884136' class='xr-var-data-in' type='checkbox'><label for='data-1cf2c1c9-098b-4fd8-b437-084daf884136' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6918724f-842d-4395-91d1-b121074c1929' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6918724f-842d-4395-91d1-b121074c1929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44053590-ea1c-40c2-ac2a-9c2316575c97' class='xr-var-data-in' type='checkbox'><label for='data-44053590-ea1c-40c2-ac2a-9c2316575c97' 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>[128 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f65f2bc1-13d3-4dc6-9899-3d0dfd3299da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f65f2bc1-13d3-4dc6-9899-3d0dfd3299da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44c69ee9-ab36-4461-98a2-0c5c0aa345aa' class='xr-var-data-in' type='checkbox'><label for='data-44c69ee9-ab36-4461-98a2-0c5c0aa345aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3dca2357-65eb-4cef-b27d-472542fce1f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3dca2357-65eb-4cef-b27d-472542fce1f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c976a4cc-af1a-4e49-853f-7a9a17b04a68' class='xr-var-data-in' type='checkbox'><label for='data-c976a4cc-af1a-4e49-853f-7a9a17b04a68' 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>[256 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2015-01-16 12:00:00 ... 2100-12-...</div><input id='attrs-b343b007-778a-4170-8ed8-c76aefb57028' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b343b007-778a-4170-8ed8-c76aefb57028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7534f7b-b8d6-4e91-93d2-49c96ce9b782' class='xr-var-data-in' type='checkbox'><label for='data-a7534f7b-b8d6-4e91-93d2-49c96ce9b782' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2015, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2015, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2015, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2100, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2100, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2100, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f2b8143-2945-455e-a46e-dd1eb616daf3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f2b8143-2945-455e-a46e-dd1eb616daf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ff1e053-90e8-4cc8-9ab0-36e14299c658' class='xr-var-data-in' type='checkbox'><label for='data-5ff1e053-90e8-4cc8-9ab0-36e14299c658' 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>[2064 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50f7c6d3-f41a-4d98-a7cb-327b85985b8a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50f7c6d3-f41a-4d98-a7cb-327b85985b8a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96a2fa81-2887-485c-aad0-bf938cb682ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96a2fa81-2887-485c-aad0-bf938cb682ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-711a77cf-ea96-48b8-9692-0b2fc7328080' class='xr-var-data-in' type='checkbox'><label for='data-711a77cf-ea96-48b8-9692-0b2fc7328080' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: minimum within days time: mean over days</dd><dt><span>comment :</span></dt><dd>STMN+273.16, ScenarioMIP_table_comment: minimum near-surface (usually, 2 meter) air temperature (add cell_method attribute &#x27;time: min&#x27;)</dd><dt><span>history :</span></dt><dd>degctok 2019-04-30T18:04:22Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2019-04-30T18:04:22Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2019-04-30T18:04:22Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>long_name :</span></dt><dd>Daily Minimum Near-Surface Air Temperature</dd><dt><span>original_name :</span></dt><dd>STMN</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[8454144 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cacea23a-3d04-4d75-9be7-bbcc22835882' class='xr-section-summary-in' type='checkbox'  ><label for='section-cacea23a-3d04-4d75-9be7-bbcc22835882' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06fca034-c871-4684-8123-381c35ffcae0' class='xr-index-data-in' type='checkbox'/><label for='index-06fca034-c871-4684-8123-381c35ffcae0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -87.86379883923273,  -85.09652698831745,  -82.31291294788636,\n",
       "               -79.52560657265951,   -76.7368996803684,  -73.94751515398974,\n",
       "               -71.15775201158739,  -68.36775610831324,  -65.57760701082788,\n",
       "               -62.78735179896313, -59.997020108491355,   -57.2066315276433,\n",
       "               -54.41619952608627, -51.625733674938296,  -48.83524096625064,\n",
       "              -46.044726631101724,  -43.25419466535099,  -40.46364817811508,\n",
       "               -37.67308962904537,   -34.8825209937735, -32.091943881744044,\n",
       "              -29.301359621762764, -26.510769325211022,  -23.72017393353477,\n",
       "               -20.92957425448953, -18.138970990239372, -15.348364759491508,\n",
       "               -12.55775611523069,  -9.767145559195578,  -6.976533553948642,\n",
       "               -4.185920533189158, -1.3953069108194975,  1.3953069108194975,\n",
       "                4.185920533189158,   6.976533553948642,   9.767145559195578,\n",
       "                12.55775611523069,  15.348364759491508,  18.138970990239372,\n",
       "                20.92957425448953,   23.72017393353477,  26.510769325211022,\n",
       "               29.301359621762764,  32.091943881744044,    34.8825209937735,\n",
       "                37.67308962904537,   40.46364817811508,   43.25419466535099,\n",
       "               46.044726631101724,   48.83524096625064,  51.625733674938296,\n",
       "                54.41619952608627,    57.2066315276433,  59.997020108491355,\n",
       "                62.78735179896313,   65.57760701082788,   68.36775610831324,\n",
       "                71.15775201158739,   73.94751515398974,    76.7368996803684,\n",
       "                79.52560657265951,   82.31291294788636,   85.09652698831745,\n",
       "                87.86379883923273],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eac2a98c-a06a-4b9e-be62-a7a5dd983c3a' class='xr-index-data-in' type='checkbox'/><label for='index-eac2a98c-a06a-4b9e-be62-a7a5dd983c3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([     0.0,   2.8125,    5.625,   8.4375,    11.25,  14.0625,\n",
       "                16.875,  19.6875,     22.5,  25.3125,\n",
       "              ...\n",
       "               331.875, 334.6875,    337.5, 340.3125,  343.125, 345.9375,\n",
       "                348.75, 351.5625,  354.375, 357.1875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=128))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1893fede-f4fe-4d41-a1e8-df1aa236ca8d' class='xr-index-data-in' type='checkbox'/><label for='index-1893fede-f4fe-4d41-a1e8-df1aa236ca8d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2015-01-16 12:00:00, 2015-02-15 00:00:00, 2015-03-16 12:00:00,\n",
       "             2015-04-16 00:00:00, 2015-05-16 12:00:00, 2015-06-16 00:00:00,\n",
       "             2015-07-16 12:00:00, 2015-08-16 12:00:00, 2015-09-16 00:00:00,\n",
       "             2015-10-16 12:00:00,\n",
       "             ...\n",
       "             2100-03-16 12:00:00, 2100-04-16 00:00:00, 2100-05-16 12:00:00,\n",
       "             2100-06-16 00:00:00, 2100-07-16 12:00:00, 2100-08-16 12:00:00,\n",
       "             2100-09-16 00:00:00, 2100-10-16 12:00:00, 2100-11-16 00:00:00,\n",
       "             2100-12-16 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1032, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65a69bcb-197d-4a40-b39c-ea68fc5c2b1e' class='xr-section-summary-in' type='checkbox'  ><label for='section-65a69bcb-197d-4a40-b39c-ea68fc5c2b1e' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>05c0a773433926e46ebc3af8139a0b5aa217871d</dd><dt><span>CCCma_parent_runid :</span></dt><dd>rc3.1-his01</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>33c30511acc319a98240633965a04ca99c26427e</dd><dt><span>CCCma_runid :</span></dt><dd>rc3.1-s1901</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>2015:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>2015:01:01:00</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-04-30T18:04:22Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>low-end scenario reaching 1.9 W m-2, based on SSP1</dd><dt><span>experiment_id :</span></dt><dd>ssp119</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.ssp119.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-04-30T18:04:22Z ;rewrote data to be consistent with ScenarioMIP for variable tasmin found in table Amon.;\n",
       "Output from $runid</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issues.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2021-01-18;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:374fbe5a2bcca535c40f7f23da271e49</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1d8e6a</dd><dt><span>variable_id :</span></dt><dd>tasmin</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1d8e6a</dd><dt><span>version_id :</span></dt><dd>v20190306</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 64, bnds: 2, lon: 128, time: 1032)\n",
       "Coordinates:\n",
       "    height     float64 ...\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "  * time       (time) object 2015-01-16 12:00:00 ... 2100-12-16 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    tasmin     (time, lat, lon) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            05c0a773433926e46ebc3af8139a0b5aa217871d\n",
       "    CCCma_parent_runid:          rc3.1-his01\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-s1901\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   2015:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1...\n",
       "    variable_id:                 tasmin\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/eb67f982-985e-4568-9e9b-eb966c1...\n",
       "    version_id:                  v20190306"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a mutable-mapping-style interface to the store\n",
    "mapper = gcs.get_mapper(zstore)\n",
    "\n",
    "# Open it using xarray and zarr\n",
    "file1 = xr.open_zarr(mapper, consolidated=True)\n",
    "file1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13792924",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can now see the structure of the data, e.g., we can see the dimensions, the coordinates, the variables and the attributes (aka the metadata). \n",
    "# To explore the data a bit more, let’s revise our search so that we can start to compare the daily CanESM5 data for \n",
    "# the Arbaminch location with our station data for the daily precipitation.\n",
    "# Notice how the table_id has been changed to ‘day’"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c9d8f6a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>activity_id</th>\n",
       "      <th>institution_id</th>\n",
       "      <th>source_id</th>\n",
       "      <th>experiment_id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>table_id</th>\n",
       "      <th>variable_id</th>\n",
       "      <th>grid_label</th>\n",
       "      <th>zstore</th>\n",
       "      <th>dcpp_init_year</th>\n",
       "      <th>version</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99352</th>\n",
       "      <td>CMIP</td>\n",
       "      <td>CCCma</td>\n",
       "      <td>CanESM5</td>\n",
       "      <td>historical</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>day</td>\n",
       "      <td>pr</td>\n",
       "      <td>gn</td>\n",
       "      <td>gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20190429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      activity_id institution_id source_id experiment_id member_id table_id  \\\n",
       "99352        CMIP          CCCma   CanESM5    historical  r1i1p1f1      day   \n",
       "\n",
       "      variable_id grid_label  \\\n",
       "99352          pr         gn   \n",
       "\n",
       "                                                  zstore  dcpp_init_year  \\\n",
       "99352  gs://cmip6/CMIP6/CMIP/CCCma/CanESM5/historical...             NaN   \n",
       "\n",
       "        version  \n",
       "99352  20190429  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr = df.query(\"table_id == 'day' & source_id == 'CanESM5' & variable_id == 'pr' & experiment_id == 'historical' & member_id =='r1i1p1f1'\")\n",
    "df_pr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "762c8447",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We have only one file rain fall historical . Let’s open it. but you can also do for 'tas','tasmax','tasmin' for \n",
    "# both historical and ssps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "baf2478c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lat: 64, bnds: 2, lon: 128, time: 60225)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "  * time       (time) object 1850-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429</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-c93e4417-c81c-4503-b8a9-a9d1d426cd73' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c93e4417-c81c-4503-b8a9-a9d1d426cd73' 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'>lat</span>: 64</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>time</span>: 60225</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-71f68489-f573-4b8c-b17c-44c3c258a429' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71f68489-f573-4b8c-b17c-44c3c258a429' class='xr-section-summary' >Coordinates: <span>(6)</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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-f4c7d815-0b8b-401c-a2de-0bf6176bc526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4c7d815-0b8b-401c-a2de-0bf6176bc526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5237535a-b976-47e2-a38b-a852db6c40eb' class='xr-var-data-in' type='checkbox'><label for='data-5237535a-b976-47e2-a38b-a852db6c40eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-87.863799, -85.096527, -82.312913, -79.525607, -76.7369  , -73.947515,\n",
       "       -71.157752, -68.367756, -65.577607, -62.787352, -59.99702 , -57.206632,\n",
       "       -54.4162  , -51.625734, -48.835241, -46.044727, -43.254195, -40.463648,\n",
       "       -37.67309 , -34.882521, -32.091944, -29.30136 , -26.510769, -23.720174,\n",
       "       -20.929574, -18.138971, -15.348365, -12.557756,  -9.767146,  -6.976534,\n",
       "        -4.185921,  -1.395307,   1.395307,   4.185921,   6.976534,   9.767146,\n",
       "        12.557756,  15.348365,  18.138971,  20.929574,  23.720174,  26.510769,\n",
       "        29.30136 ,  32.091944,  34.882521,  37.67309 ,  40.463648,  43.254195,\n",
       "        46.044727,  48.835241,  51.625734,  54.4162  ,  57.206632,  59.99702 ,\n",
       "        62.787352,  65.577607,  68.367756,  71.157752,  73.947515,  76.7369  ,\n",
       "        79.525607,  82.312913,  85.096527,  87.863799])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a260657b-a318-4837-ba5e-d1e6983c42a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a260657b-a318-4837-ba5e-d1e6983c42a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38dad9d7-3372-4e87-900c-1e7704a2d536' class='xr-var-data-in' type='checkbox'><label for='data-38dad9d7-3372-4e87-900c-1e7704a2d536' 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>[128 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-0a81338b-dff5-4cd3-bc32-0dc2788d1289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a81338b-dff5-4cd3-bc32-0dc2788d1289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bb17663-c836-4458-9d7b-57f5e2413672' class='xr-var-data-in' type='checkbox'><label for='data-3bb17663-c836-4458-9d7b-57f5e2413672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04c52f96-224f-48a7-b679-3b13dada65b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04c52f96-224f-48a7-b679-3b13dada65b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aab3ed43-255b-4be9-b653-5df1c2fc044d' class='xr-var-data-in' type='checkbox'><label for='data-aab3ed43-255b-4be9-b653-5df1c2fc044d' 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>[256 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 12:00:00 ... 2014-12-...</div><input id='attrs-59984b91-e52f-4cc2-83f5-fc349165a178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59984b91-e52f-4cc2-83f5-fc349165a178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e07a3ded-ca42-49a1-afb0-a6d936b0a52e' class='xr-var-data-in' type='checkbox'><label for='data-e07a3ded-ca42-49a1-afb0-a6d936b0a52e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2014, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e788d16-6823-4b7c-9450-0ba5a9158509' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e788d16-6823-4b7c-9450-0ba5a9158509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34632afd-8b39-478b-a50e-aa6abde8ae99' class='xr-var-data-in' type='checkbox'><label for='data-34632afd-8b39-478b-a50e-aa6abde8ae99' 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>[120450 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0feda34-105b-4555-9f8f-426f1920363a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0feda34-105b-4555-9f8f-426f1920363a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eeeca262-0a6a-4089-9919-143864df5dd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeeca262-0a6a-4089-9919-143864df5dd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4609227-0b77-49da-8bfa-105878e449c3' class='xr-var-data-in' type='checkbox'><label for='data-d4609227-0b77-49da-8bfa-105878e449c3' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2019-05-02T08:01:38Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>original_name :</span></dt><dd>PCP</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[493363200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93b58a73-8fae-427b-a83d-aa335cd7b639' class='xr-section-summary-in' type='checkbox'  ><label for='section-93b58a73-8fae-427b-a83d-aa335cd7b639' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8409e298-109e-425e-9c5c-0037071f2744' class='xr-index-data-in' type='checkbox'/><label for='index-8409e298-109e-425e-9c5c-0037071f2744' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -87.86379883923273,  -85.09652698831745,  -82.31291294788636,\n",
       "               -79.52560657265951,   -76.7368996803684,  -73.94751515398974,\n",
       "               -71.15775201158739,  -68.36775610831324,  -65.57760701082788,\n",
       "               -62.78735179896313, -59.997020108491355,   -57.2066315276433,\n",
       "               -54.41619952608627, -51.625733674938296,  -48.83524096625064,\n",
       "              -46.044726631101724,  -43.25419466535099,  -40.46364817811508,\n",
       "               -37.67308962904537,   -34.8825209937735, -32.091943881744044,\n",
       "              -29.301359621762764, -26.510769325211022,  -23.72017393353477,\n",
       "               -20.92957425448953, -18.138970990239372, -15.348364759491508,\n",
       "               -12.55775611523069,  -9.767145559195578,  -6.976533553948642,\n",
       "               -4.185920533189158, -1.3953069108194975,  1.3953069108194975,\n",
       "                4.185920533189158,   6.976533553948642,   9.767145559195578,\n",
       "                12.55775611523069,  15.348364759491508,  18.138970990239372,\n",
       "                20.92957425448953,   23.72017393353477,  26.510769325211022,\n",
       "               29.301359621762764,  32.091943881744044,    34.8825209937735,\n",
       "                37.67308962904537,   40.46364817811508,   43.25419466535099,\n",
       "               46.044726631101724,   48.83524096625064,  51.625733674938296,\n",
       "                54.41619952608627,    57.2066315276433,  59.997020108491355,\n",
       "                62.78735179896313,   65.57760701082788,   68.36775610831324,\n",
       "                71.15775201158739,   73.94751515398974,    76.7368996803684,\n",
       "                79.52560657265951,   82.31291294788636,   85.09652698831745,\n",
       "                87.86379883923273],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8704bbb2-bdfe-4222-8fbf-2a62c18d4c84' class='xr-index-data-in' type='checkbox'/><label for='index-8704bbb2-bdfe-4222-8fbf-2a62c18d4c84' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([     0.0,   2.8125,    5.625,   8.4375,    11.25,  14.0625,\n",
       "                16.875,  19.6875,     22.5,  25.3125,\n",
       "              ...\n",
       "               331.875, 334.6875,    337.5, 340.3125,  343.125, 345.9375,\n",
       "                348.75, 351.5625,  354.375, 357.1875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=128))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e018dbff-ed3f-494d-9c42-834b76653005' class='xr-index-data-in' type='checkbox'/><label for='index-e018dbff-ed3f-494d-9c42-834b76653005' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1850-01-01 12:00:00, 1850-01-02 12:00:00, 1850-01-03 12:00:00,\n",
       "             1850-01-04 12:00:00, 1850-01-05 12:00:00, 1850-01-06 12:00:00,\n",
       "             1850-01-07 12:00:00, 1850-01-08 12:00:00, 1850-01-09 12:00:00,\n",
       "             1850-01-10 12:00:00,\n",
       "             ...\n",
       "             2014-12-22 12:00:00, 2014-12-23 12:00:00, 2014-12-24 12:00:00,\n",
       "             2014-12-25 12:00:00, 2014-12-26 12:00:00, 2014-12-27 12:00:00,\n",
       "             2014-12-28 12:00:00, 2014-12-29 12:00:00, 2014-12-30 12:00:00,\n",
       "             2014-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=60225, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89d9732d-5186-49c4-af55-61a3f0ec61b8' class='xr-section-summary-in' type='checkbox'  ><label for='section-89d9732d-5186-49c4-af55-61a3f0ec61b8' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>3dedf95315d603326fde4f5340dc0519d80d10c0</dd><dt><span>CCCma_parent_runid :</span></dt><dd>rc3-pictrl</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>33c30511acc319a98240633965a04ca99c26427e</dd><dt><span>CCCma_runid :</span></dt><dd>rc3.1-his01</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>5201:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1223115.0</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-05-02T08:01:38Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z ;rewrote data to be consistent with CMIP for variable pr found in table day.;\n",
       "Output from $runid</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issues.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-07-06;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:374fbe5a2bcca535c40f7f23da271e49</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>variable_id :</span></dt><dd>pr</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>version_id :</span></dt><dd>v20190429</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 64, bnds: 2, lon: 128, time: 60225)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "  * time       (time) object 1850-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the path to a specific zarr store (the first one from the dataframe above)\n",
    "zstore = df_pr.zstore.values[0]\n",
    "\n",
    "# Create a mutable-mapping-style interface to the store\n",
    "mapper = gcs.get_mapper(zstore)\n",
    "\n",
    "# Open it using xarray and zarr\n",
    "file2 = xr.open_zarr(mapper, consolidated=True)\n",
    "file2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "758d409d",
   "metadata": {},
   "outputs": [],
   "source": [
    "  # Exploring the data\n",
    "  # Using xarray, we can efficiently extract the time period and location we want to examine."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00977878",
   "metadata": {},
   "source": [
    "# Select lat & lon for the area of interst in our case Arbaminch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aa0fa3fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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       ".xr-index-data,\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (bnds: 2, time: 9125)\n",
       "Coordinates:\n",
       "    lat        float64 6.977\n",
       "    lat_bnds   (bnds) float64 5.582 8.373\n",
       "    lon        float64 36.56\n",
       "    lon_bnds   (bnds) float64 35.16 37.97\n",
       "  * time       (time) object 1990-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object 1990-01-01 00:00:00 ... 2015-01-01 00:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time) float32 6.927e-07 1.204e-06 ... 8.501e-06 7.884e-06\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429</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-7d40a8f0-2261-40dc-92cc-f1502a6a0c8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d40a8f0-2261-40dc-92cc-f1502a6a0c8c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 9125</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b07baf32-d4c0-485c-aca1-e4e1d2d98cdd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b07baf32-d4c0-485c-aca1-e4e1d2d98cdd' class='xr-section-summary' >Coordinates: <span>(6)</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>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.977</div><input id='attrs-8c9e06f1-7545-4d61-92b6-fce0e3a9c84b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c9e06f1-7545-4d61-92b6-fce0e3a9c84b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb1f2ad-814e-45b1-ad5a-98a76e479a52' class='xr-var-data-in' type='checkbox'><label for='data-8cb1f2ad-814e-45b1-ad5a-98a76e479a52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(6.97653355)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.582 8.373</div><input id='attrs-61a2fd3e-71f8-49a1-9f45-d4fbf85bf594' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61a2fd3e-71f8-49a1-9f45-d4fbf85bf594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f563b61-8e0b-4f92-8787-e4b55aec7936' class='xr-var-data-in' type='checkbox'><label for='data-5f563b61-8e0b-4f92-8787-e4b55aec7936' 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([5.58178063, 8.37267325])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.56</div><input id='attrs-775d570a-b289-40ba-9524-784f9fccc2a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-775d570a-b289-40ba-9524-784f9fccc2a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-080fabfc-3dd4-473c-b59c-72e8d577c6fd' class='xr-var-data-in' type='checkbox'><label for='data-080fabfc-3dd4-473c-b59c-72e8d577c6fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(36.5625)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>35.16 37.97</div><input id='attrs-a859f5e9-c1c3-40e1-a8a1-249d780dd87b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a859f5e9-c1c3-40e1-a8a1-249d780dd87b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-731456f3-c146-4b6f-9b95-c7fa303a3148' class='xr-var-data-in' type='checkbox'><label for='data-731456f3-c146-4b6f-9b95-c7fa303a3148' 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([35.15625, 37.96875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1990-01-01 12:00:00 ... 2014-12-...</div><input id='attrs-4f024141-662e-448c-8993-893adfb36651' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f024141-662e-448c-8993-893adfb36651' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1bda074-a826-4167-b049-a67d68ff1a52' class='xr-var-data-in' type='checkbox'><label for='data-d1bda074-a826-4167-b049-a67d68ff1a52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1990, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1990, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1990, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2014, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1990-01-01 00:00:00 ... 2015-01-...</div><input id='attrs-16230ec0-f442-4041-b141-afdb0a065129' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16230ec0-f442-4041-b141-afdb0a065129' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1be323e-bb17-4fc7-a7fe-7f72085edf21' class='xr-var-data-in' type='checkbox'><label for='data-f1be323e-bb17-4fc7-a7fe-7f72085edf21' 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([[cftime.DatetimeNoLeap(1990, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 1, 2, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 1, 3, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 1, 4, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2014, 12, 29, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2014, 12, 30, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2014, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2014, 12, 31, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2014, 12, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2015, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-941b5133-c105-4fe3-976a-9e7da08876c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-941b5133-c105-4fe3-976a-9e7da08876c6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>6.927e-07 1.204e-06 ... 7.884e-06</div><input id='attrs-a9595d55-88a8-466d-a91b-847d439bd508' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9595d55-88a8-466d-a91b-847d439bd508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a261fd07-de38-499e-b2b4-23355fc5aa48' class='xr-var-data-in' type='checkbox'><label for='data-a261fd07-de38-499e-b2b4-23355fc5aa48' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2019-05-02T08:01:38Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>original_name :</span></dt><dd>PCP</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>array([6.9270806e-07, 1.2043008e-06, 1.7439472e-06, ..., 1.6916742e-05,\n",
       "       8.5010879e-06, 7.8842504e-06], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b573ffd9-cb58-4dae-a54d-a71df312f514' class='xr-section-summary-in' type='checkbox'  ><label for='section-b573ffd9-cb58-4dae-a54d-a71df312f514' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef099001-7833-47d9-ba7d-3cb4b5a8b6b7' class='xr-index-data-in' type='checkbox'/><label for='index-ef099001-7833-47d9-ba7d-3cb4b5a8b6b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1990-01-01 12:00:00, 1990-01-02 12:00:00, 1990-01-03 12:00:00,\n",
       "             1990-01-04 12:00:00, 1990-01-05 12:00:00, 1990-01-06 12:00:00,\n",
       "             1990-01-07 12:00:00, 1990-01-08 12:00:00, 1990-01-09 12:00:00,\n",
       "             1990-01-10 12:00:00,\n",
       "             ...\n",
       "             2014-12-22 12:00:00, 2014-12-23 12:00:00, 2014-12-24 12:00:00,\n",
       "             2014-12-25 12:00:00, 2014-12-26 12:00:00, 2014-12-27 12:00:00,\n",
       "             2014-12-28 12:00:00, 2014-12-29 12:00:00, 2014-12-30 12:00:00,\n",
       "             2014-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=9125, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cffbd6de-4969-4272-838f-ca47e6a6884a' class='xr-section-summary-in' type='checkbox'  ><label for='section-cffbd6de-4969-4272-838f-ca47e6a6884a' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>3dedf95315d603326fde4f5340dc0519d80d10c0</dd><dt><span>CCCma_parent_runid :</span></dt><dd>rc3-pictrl</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>33c30511acc319a98240633965a04ca99c26427e</dd><dt><span>CCCma_runid :</span></dt><dd>rc3.1-his01</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>5201:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1223115.0</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-05-02T08:01:38Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z ;rewrote data to be consistent with CMIP for variable pr found in table day.;\n",
       "Output from $runid</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issues.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-07-06;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:374fbe5a2bcca535c40f7f23da271e49</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>variable_id :</span></dt><dd>pr</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>version_id :</span></dt><dd>v20190429</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (bnds: 2, time: 9125)\n",
       "Coordinates:\n",
       "    lat        float64 6.977\n",
       "    lat_bnds   (bnds) float64 5.582 8.373\n",
       "    lon        float64 36.56\n",
       "    lon_bnds   (bnds) float64 35.16 37.97\n",
       "  * time       (time) object 1990-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object 1990-01-01 00:00:00 ... 2015-01-01 00:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time) float32 6.927e-07 1.204e-06 ... 8.501e-06 7.884e-06\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select grid box nearest to the ARBA MINCH station latitude and longitude\n",
    "RF = file2.sel(lat=\"6.2\", lon=\"37.5\",method='nearest')\n",
    "\n",
    "# Select time range using slicing\n",
    "RF_baseline = RF.sel(time=slice(\"1990\",\"2014\"))\n",
    "\n",
    "# Load data. This step might take a minute or two.\n",
    "RF_baseline.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16ef9d2d",
   "metadata": {},
   "source": [
    "# Exporting the CMIP6 Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "702d41e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "RF_baseline.to_netcdf('CMIP6 RFnew1.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e3d7ca5",
   "metadata": {},
   "source": [
    "# preparing cmip6 data for further analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "066d4a54",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --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[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (bnds: 2, time: 9125)\n",
       "Coordinates:\n",
       "    lat        float64 ...\n",
       "    lat_bnds   (bnds) float64 ...\n",
       "    lon        float64 ...\n",
       "    lon_bnds   (bnds) float64 ...\n",
       "  * time       (time) object 1990-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429</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-023f4fb3-5a59-46a3-90e6-b7e86609c821' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-023f4fb3-5a59-46a3-90e6-b7e86609c821' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 9125</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9152ee33-b8cf-4f86-86ee-ec58cfe72c31' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9152ee33-b8cf-4f86-86ee-ec58cfe72c31' class='xr-section-summary' >Coordinates: <span>(6)</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>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da5500d0-8d5d-41c6-b3d5-744b3ff2dea5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da5500d0-8d5d-41c6-b3d5-744b3ff2dea5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c20ccc-afe9-42d0-b4c1-232779cdaf93' class='xr-var-data-in' type='checkbox'><label for='data-c2c20ccc-afe9-42d0-b4c1-232779cdaf93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aac14d9c-657a-47ec-920b-c058fa0a412b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aac14d9c-657a-47ec-920b-c058fa0a412b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ee57f0-b945-4279-8081-892fe81ddebd' class='xr-var-data-in' type='checkbox'><label for='data-d1ee57f0-b945-4279-8081-892fe81ddebd' 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>[2 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e9e2fb3-3be5-40a5-8629-3443d52de2ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e9e2fb3-3be5-40a5-8629-3443d52de2ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-101015fa-ba94-43b0-a152-d6642d13caca' class='xr-var-data-in' type='checkbox'><label for='data-101015fa-ba94-43b0-a152-d6642d13caca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51fdbd78-1338-4b36-aa2c-8e7e4885d50f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-51fdbd78-1338-4b36-aa2c-8e7e4885d50f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d884a2e7-d002-4958-b9fa-725e5c4dbe30' class='xr-var-data-in' type='checkbox'><label for='data-d884a2e7-d002-4958-b9fa-725e5c4dbe30' 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>[2 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1990-01-01 12:00:00 ... 2014-12-...</div><input id='attrs-cd69b811-c62f-4163-a130-8f0449fdf76d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd69b811-c62f-4163-a130-8f0449fdf76d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8260070-2437-4b89-a7fa-b9089a32aaee' class='xr-var-data-in' type='checkbox'><label for='data-b8260070-2437-4b89-a7fa-b9089a32aaee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1990, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1990, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1990, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
       "       cftime.DatetimeNoLeap(2014, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2014, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d27a34b-a6eb-48ec-87be-159db827b2dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d27a34b-a6eb-48ec-87be-159db827b2dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f4d6226-780a-48ce-a554-016e19dac2d9' class='xr-var-data-in' type='checkbox'><label for='data-5f4d6226-780a-48ce-a554-016e19dac2d9' 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>[18250 values with dtype=object]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4271351f-880b-4cbb-bdaf-bd25379731f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4271351f-880b-4cbb-bdaf-bd25379731f0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e474a997-c17d-402f-90dc-5422cd96f7e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e474a997-c17d-402f-90dc-5422cd96f7e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce89ba7-2e79-426a-ace3-cc2658bed02e' class='xr-var-data-in' type='checkbox'><label for='data-7ce89ba7-2e79-426a-ace3-cc2658bed02e' 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>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z altered by CMOR: Reordered dimensions, original order: lat lon time. 2019-05-02T08:01:38Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>original_name :</span></dt><dd>PCP</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[9125 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac7dcb76-f097-4762-9dac-2e2b6a1442bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac7dcb76-f097-4762-9dac-2e2b6a1442bc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4fce9eec-2a38-4d73-b337-25af1985975c' class='xr-index-data-in' type='checkbox'/><label for='index-4fce9eec-2a38-4d73-b337-25af1985975c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1990-01-01 12:00:00, 1990-01-02 12:00:00, 1990-01-03 12:00:00,\n",
       "             1990-01-04 12:00:00, 1990-01-05 12:00:00, 1990-01-06 12:00:00,\n",
       "             1990-01-07 12:00:00, 1990-01-08 12:00:00, 1990-01-09 12:00:00,\n",
       "             1990-01-10 12:00:00,\n",
       "             ...\n",
       "             2014-12-22 12:00:00, 2014-12-23 12:00:00, 2014-12-24 12:00:00,\n",
       "             2014-12-25 12:00:00, 2014-12-26 12:00:00, 2014-12-27 12:00:00,\n",
       "             2014-12-28 12:00:00, 2014-12-29 12:00:00, 2014-12-30 12:00:00,\n",
       "             2014-12-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=9125, calendar=&#x27;noleap&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c3bc3c9-e3f2-4766-b49d-cf0235e40ab9' class='xr-section-summary-in' type='checkbox'  ><label for='section-7c3bc3c9-e3f2-4766-b49d-cf0235e40ab9' class='xr-section-summary' >Attributes: <span>(56)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CCCma_model_hash :</span></dt><dd>3dedf95315d603326fde4f5340dc0519d80d10c0</dd><dt><span>CCCma_parent_runid :</span></dt><dd>rc3-pictrl</dd><dt><span>CCCma_pycmor_hash :</span></dt><dd>33c30511acc319a98240633965a04ca99c26427e</dd><dt><span>CCCma_runid :</span></dt><dd>rc3.1-his01</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>YMDH_branch_time_in_child :</span></dt><dd>1850:01:01:00</dd><dt><span>YMDH_branch_time_in_parent :</span></dt><dd>5201:01:01:00</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>Spin-up documentation</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>1223115.0</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>contact :</span></dt><dd>ec.cccma.info-info.ccmac.ec@canada.ca</dd><dt><span>creation_date :</span></dt><dd>2019-05-02T08:01:38Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.29</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CCCma.CanESM5.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>2019-05-02T08:01:38Z ;rewrote data to be consistent with CMIP for variable pr found in table day.;\n",
       "Output from $runid</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC V8P 5C2, Canada</dd><dt><span>institution_id :</span></dt><dd>CCCma</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by The Government of Canada (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (https://creativecommons.org/licenses). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file) and at https:///pcmdi.llnl.gov/. The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>500 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>CanESM5</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-01-01 0:0:0.0</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Geophysical Model Development Special issue on CanESM5 (https://www.geosci-model-dev.net/special_issues.html)</dd><dt><span>source :</span></dt><dd>CanESM5 (2019): \n",
       "aerosol: interactive\n",
       "atmos: CanAM5 (T63L49 native atmosphere, T63 Linear Gaussian Grid; 128 x 64 longitude/latitude; 49 levels; top level 1 hPa)\n",
       "atmosChem: specified oxidants for aerosols\n",
       "land: CLASS3.6/CTEM1.2\n",
       "landIce: specified ice sheets\n",
       "ocean: NEMO3.4.1 (ORCA1 tripolar grid, 1 deg with refinement to 1/3 deg within 20 degrees of the equator; 361 x 290 longitude/latitude; 45 vertical levels; top grid cell 0-6.19 m)\n",
       "ocnBgchem: Canadian Model of Ocean Carbon (CMOC); NPZD ecosystem with OMIP prescribed carbonate chemistry\n",
       "seaIce: LIM2</dd><dt><span>source_id :</span></dt><dd>CanESM5</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>status :</span></dt><dd>2020-07-06;created; by gcs.cmip6.ldeo@gmail.com</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>table_info :</span></dt><dd>Creation Date:(20 February 2019) MD5:374fbe5a2bcca535c40f7f23da271e49</dd><dt><span>title :</span></dt><dd>CanESM5 output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>variable_id :</span></dt><dd>pr</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20190429</dd><dt><span>netcdf_tracking_ids :</span></dt><dd>hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9f08ba</dd><dt><span>version_id :</span></dt><dd>v20190429</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (bnds: 2, time: 9125)\n",
       "Coordinates:\n",
       "    lat        float64 ...\n",
       "    lat_bnds   (bnds) float64 ...\n",
       "    lon        float64 ...\n",
       "    lon_bnds   (bnds) float64 ...\n",
       "  * time       (time) object 1990-01-01 12:00:00 ... 2014-12-31 12:00:00\n",
       "    time_bnds  (time, bnds) object ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    pr         (time) float32 ...\n",
       "Attributes: (12/56)\n",
       "    CCCma_model_hash:            3dedf95315d603326fde4f5340dc0519d80d10c0\n",
       "    CCCma_parent_runid:          rc3-pictrl\n",
       "    CCCma_pycmor_hash:           33c30511acc319a98240633965a04ca99c26427e\n",
       "    CCCma_runid:                 rc3.1-his01\n",
       "    Conventions:                 CF-1.7 CMIP-6.2\n",
       "    YMDH_branch_time_in_child:   1850:01:01:00\n",
       "    ...                          ...\n",
       "    tracking_id:                 hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    variable_id:                 pr\n",
       "    variant_label:               r1i1p1f1\n",
       "    version:                     v20190429\n",
       "    netcdf_tracking_ids:         hdl:21.14100/76d65850-67a9-4ab7-92d2-0e63ed9...\n",
       "    version_id:                  v20190429"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmip6 = xr.open_dataset('CMIP6 RFnew1.nc')\n",
    "cmip6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4f49e571",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>pr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1990</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th>1</th>\n",
       "      <td>0.059850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.104052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.150677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.535905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.144996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2014</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">12</th>\n",
       "      <th>27</th>\n",
       "      <td>0.691942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1.141249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.461606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.734494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.681199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9125 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      pr\n",
       "year month day          \n",
       "1990 1     1    0.059850\n",
       "           2    0.104052\n",
       "           3    0.150677\n",
       "           4    0.535905\n",
       "           5    0.144996\n",
       "...                  ...\n",
       "2014 12    27   0.691942\n",
       "           28   1.141249\n",
       "           29   1.461606\n",
       "           30   0.734494\n",
       "           31   0.681199\n",
       "\n",
       "[9125 rows x 1 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert cmip6 units\n",
    "RDay = cmip6.pr*86400\n",
    "RDay_df = RDay.to_dataframe().drop(columns=['lat','lon'])\n",
    "RDay_df['day'] = RDay_df.index.day\n",
    "RDay_df['month'] = RDay_df.index.month\n",
    "RDay_df['year'] = RDay_df.index.year\n",
    "cmip_join = RDay_df.set_index(['year','month','day'])\n",
    "cmip_join"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "feef9008",
   "metadata": {},
   "source": [
    "# importing our station data to compare with cmip6 historical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "38993ac1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Unnamed: 0</th>\n",
       "      <th>date</th>\n",
       "      <th>Arba Minch RF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1990-01-01</td>\n",
       "      <td>21.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1990-01-02</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1990-01-03</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1990-01-04</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1990-01-05</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9126</th>\n",
       "      <td>9126</td>\n",
       "      <td>2014-12-27</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9127</th>\n",
       "      <td>9127</td>\n",
       "      <td>2014-12-28</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9128</th>\n",
       "      <td>9128</td>\n",
       "      <td>2014-12-29</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9129</th>\n",
       "      <td>9129</td>\n",
       "      <td>2014-12-30</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9130</th>\n",
       "      <td>9130</td>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9131 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0        date  Arba Minch RF\n",
       "0              0  1990-01-01           21.1\n",
       "1              1  1990-01-02            0.0\n",
       "2              2  1990-01-03            0.0\n",
       "3              3  1990-01-04            0.0\n",
       "4              4  1990-01-05            3.5\n",
       "...          ...         ...            ...\n",
       "9126        9126  2014-12-27            0.0\n",
       "9127        9127  2014-12-28            0.0\n",
       "9128        9128  2014-12-29            0.0\n",
       "9129        9129  2014-12-30            0.0\n",
       "9130        9130  2014-12-31            0.0\n",
       "\n",
       "[9131 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s=pd.read_csv('Station.csv')\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b9f0027",
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing unwanted columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0d21325c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>date</th>\n",
       "      <th>Arba Minch RF</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1990</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th>1</th>\n",
       "      <td>1990-01-01</td>\n",
       "      <td>21.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990-01-02</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990-01-03</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990-01-04</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1990-01-05</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2014</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">12</th>\n",
       "      <th>27</th>\n",
       "      <td>2014-12-27</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2014-12-28</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2014-12-29</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2014-12-30</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9131 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date  Arba Minch RF\n",
       "year month day                          \n",
       "1990 1     1   1990-01-01           21.1\n",
       "           2   1990-01-02            0.0\n",
       "           3   1990-01-03            0.0\n",
       "           4   1990-01-04            0.0\n",
       "           5   1990-01-05            3.5\n",
       "...                   ...            ...\n",
       "2014 12    27  2014-12-27            0.0\n",
       "           28  2014-12-28            0.0\n",
       "           29  2014-12-29            0.0\n",
       "           30  2014-12-30            0.0\n",
       "           31  2014-12-31            0.0\n",
       "\n",
       "[9131 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.loc[:,'date']=pd.to_datetime(s.date)\n",
    "s['day'] = s.date.dt.day\n",
    "s['month'] = s.date.dt.month\n",
    "s['year'] = s.date.dt.year\n",
    "s_join = s.set_index(['year','month','day']).drop(columns=['Unnamed: 0'])\n",
    "s_join"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b71f01d",
   "metadata": {},
   "source": [
    "# Join station and model data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d317bb23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>date</th>\n",
       "      <th>station</th>\n",
       "      <th>cmip6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1990</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th>1</th>\n",
       "      <td>1990-01-01</td>\n",
       "      <td>21.1</td>\n",
       "      <td>0.059850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1990-01-02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.104052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990-01-03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.150677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1990-01-04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.535905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1990-01-05</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.144996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2014</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">12</th>\n",
       "      <th>27</th>\n",
       "      <td>2014-12-27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.691942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2014-12-28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.141249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2014-12-29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.461606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2014-12-30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.734494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2014-12-31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.681199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9131 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     date  station     cmip6\n",
       "year month day                              \n",
       "1990 1     1   1990-01-01     21.1  0.059850\n",
       "           2   1990-01-02      0.0  0.104052\n",
       "           3   1990-01-03      0.0  0.150677\n",
       "           4   1990-01-04      0.0  0.535905\n",
       "           5   1990-01-05      3.5  0.144996\n",
       "...                   ...      ...       ...\n",
       "2014 12    27  2014-12-27      0.0  0.691942\n",
       "           28  2014-12-28      0.0  1.141249\n",
       "           29  2014-12-29      0.0  1.461606\n",
       "           30  2014-12-30      0.0  0.734494\n",
       "           31  2014-12-31      0.0  0.681199\n",
       "\n",
       "[9131 rows x 3 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Join station and model data\n",
    "station_model = s_join.join(cmip_join).rename(columns={'Arba Minch RF':'station','pr':'cmip6'})\n",
    "station_model.to_csv('jointdadta.csv')\n",
    "station_model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acb2531a",
   "metadata": {},
   "source": [
    "# Plot a graph to see the differance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "aa50ce4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x227d1d75a50>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Monthly, averaged over all years\n",
    "s_m = station_model.reset_index()\n",
    "monthly = s_m.drop(columns=['year','day','date']).groupby(by='month').sum()\n",
    "month_names = pd.date_range('1 jan 2020','31 dec 2020',freq='M').strftime('%b')\n",
    "\n",
    "fig,ax=plt.subplots()\n",
    "ax.bar(monthly.index-0.4,monthly.station,width=0.4,align='edge',label='station')\n",
    "ax.bar(monthly.index,monthly.cmip6,width=0.4,align='edge',label='cmip6')\n",
    "ax.set_xticks(np.arange(1,13))\n",
    "ax.set_xticklabels(month_names)\n",
    "ax.set_title('Station and CMIP6 Data before bias Correction(1990-2014) ')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ecf54ae4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "622f0bd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_all=pd.read_csv('jointdadta.csv')\n",
    "data_sat=data_all.station\n",
    "reference=data_all.cmip6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9d104ea9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def linear_scaling_bias_correction(data_sat, reference):\n",
    "    mean_data = np.mean(data_sat)\n",
    "    mean_reference = np.mean(reference)\n",
    "    std_data = np.std(data_sat)\n",
    "    std_reference = np.std(reference)\n",
    "    \n",
    "    corrected_data = (data_sat - mean_data) * (std_reference / std_data) + mean_reference\n",
    "    \n",
    "    return corrected_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6233cf35",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Example usage\n",
    "#data = np.array([1, 2, 3, 4, 5])\n",
    "#reference = np.array([10, 20, 30, 40, 50])\n",
    "\n",
    "corrected_data = linear_scaling_bias_correction(data_sat, reference)\n",
    "#print(\"Original data:\", data_sat)\n",
    "#print(\"Corrected data:\", corrected_data)\n",
    "corrected_data.to_csv('afterbias1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f9e82af5",
   "metadata": {},
   "outputs": [],
   "source": [
    "station_model2 = s_join.join(cmip_join).rename(columns={'Arba Minch RF':'station','pr':'cmip6'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "80b6b07e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       23.964874\n",
       "1        0.646432\n",
       "2        0.646432\n",
       "3        0.646432\n",
       "4        4.514420\n",
       "          ...    \n",
       "9126     0.646432\n",
       "9127     0.646432\n",
       "9128     0.646432\n",
       "9129     0.646432\n",
       "9130     0.646432\n",
       "Name: station, Length: 9131, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrected_data\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36759b46",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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