{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Performance of concat operator on cmip6 decadal: DWD\n",
    "\n",
    "**Rooki** calls climate data operations on the **rook** processing service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "os.environ['ROOK_URL'] = 'http://rook.dkrz.de/wps'\n",
    "\n",
    "from rooki import operators as ops"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load intake catalog for cmip6 decadal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import intake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/Caskroom/mambaforge/base/envs/rooki/lib/python3.11/site-packages/dask/dataframe/io/csv.py:542: UserWarning: Warning gzip compression does not support breaking apart files\n",
      "Please ensure that each individual file can fit in memory and\n",
      "use the keyword ``blocksize=None to remove this message``\n",
      "Setting ``blocksize=None``\n",
      "  warn(\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .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>ds_id</th>\n",
       "      <th>path</th>\n",
       "      <th>size</th>\n",
       "      <th>mip_era</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>version</th>\n",
       "      <th>start_time</th>\n",
       "      <th>end_time</th>\n",
       "      <th>bbox</th>\n",
       "      <th>level</th>\n",
       "      <th>member_year</th>\n",
       "      <th>member_ensemble</th>\n",
       "      <th>prefix</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>c3s-cmip6-decadal.DCPP.MPI-M.MPI-ESM1-2-HR.dcp...</td>\n",
       "      <td>DCPP/MPI-M/MPI-ESM1-2-HR/dcppA-hindcast/s2016-...</td>\n",
       "      <td>492479692</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "      <td>DCPP</td>\n",
       "      <td>MPI-M</td>\n",
       "      <td>MPI-ESM1-2-HR</td>\n",
       "      <td>dcppA-hindcast</td>\n",
       "      <td>s2016-r8i1p1f1</td>\n",
       "      <td>day</td>\n",
       "      <td>tasmax</td>\n",
       "      <td>gn</td>\n",
       "      <td>v20210111</td>\n",
       "      <td>2016-11-01T12:00:00</td>\n",
       "      <td>2026-12-31T12:00:00</td>\n",
       "      <td>0.00, -89.28, 359.06, 89.28</td>\n",
       "      <td>2.00</td>\n",
       "      <td>s2016</td>\n",
       "      <td>r8i1p1f1</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>c3s-cmip6-decadal.DCPP.MPI-M.MPI-ESM1-2-HR.dcp...</td>\n",
       "      <td>DCPP/MPI-M/MPI-ESM1-2-HR/dcppA-hindcast/s2009-...</td>\n",
       "      <td>737204109</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "      <td>DCPP</td>\n",
       "      <td>MPI-M</td>\n",
       "      <td>MPI-ESM1-2-HR</td>\n",
       "      <td>dcppA-hindcast</td>\n",
       "      <td>s2009-r8i1p1f1</td>\n",
       "      <td>day</td>\n",
       "      <td>pr</td>\n",
       "      <td>gn</td>\n",
       "      <td>v20210107</td>\n",
       "      <td>2009-11-01T12:00:00</td>\n",
       "      <td>2019-12-31T12:00:00</td>\n",
       "      <td>0.00, -89.28, 359.06, 89.28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s2009</td>\n",
       "      <td>r8i1p1f1</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...</td>\n",
       "      <td>DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s1987...</td>\n",
       "      <td>953384</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "      <td>DCPP</td>\n",
       "      <td>MOHC</td>\n",
       "      <td>HadGEM3-GC31-MM</td>\n",
       "      <td>dcppA-hindcast</td>\n",
       "      <td>s1987-r3i1p1f2</td>\n",
       "      <td>Amon</td>\n",
       "      <td>pr</td>\n",
       "      <td>gn</td>\n",
       "      <td>v20200417</td>\n",
       "      <td>1987-11-16T00:00:00</td>\n",
       "      <td>1987-12-16T00:00:00</td>\n",
       "      <td>0.42, -89.72, 359.58, 89.72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s1987</td>\n",
       "      <td>r3i1p1f2</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...</td>\n",
       "      <td>DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s1995...</td>\n",
       "      <td>603757</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "      <td>DCPP</td>\n",
       "      <td>MOHC</td>\n",
       "      <td>HadGEM3-GC31-MM</td>\n",
       "      <td>dcppA-hindcast</td>\n",
       "      <td>s1995-r6i1p1f2</td>\n",
       "      <td>Amon</td>\n",
       "      <td>tas</td>\n",
       "      <td>gn</td>\n",
       "      <td>v20200417</td>\n",
       "      <td>1995-11-16T00:00:00</td>\n",
       "      <td>1995-12-16T00:00:00</td>\n",
       "      <td>0.42, -89.72, 359.58, 89.72</td>\n",
       "      <td>1.50</td>\n",
       "      <td>s1995</td>\n",
       "      <td>r6i1p1f2</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...</td>\n",
       "      <td>DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s2004...</td>\n",
       "      <td>14824913</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "      <td>DCPP</td>\n",
       "      <td>MOHC</td>\n",
       "      <td>HadGEM3-GC31-MM</td>\n",
       "      <td>dcppA-hindcast</td>\n",
       "      <td>s2004-r10i1p1f2</td>\n",
       "      <td>AERday</td>\n",
       "      <td>zg500</td>\n",
       "      <td>gn</td>\n",
       "      <td>v20200417</td>\n",
       "      <td>2004-11-01T12:00:00</td>\n",
       "      <td>2004-12-30T12:00:00</td>\n",
       "      <td>0.42, -89.72, 359.58, 89.72</td>\n",
       "      <td>50000.00</td>\n",
       "      <td>s2004</td>\n",
       "      <td>r10i1p1f2</td>\n",
       "      <td>c3s-cmip6-decadal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               ds_id   \n",
       "0  c3s-cmip6-decadal.DCPP.MPI-M.MPI-ESM1-2-HR.dcp...  \\\n",
       "1  c3s-cmip6-decadal.DCPP.MPI-M.MPI-ESM1-2-HR.dcp...   \n",
       "2  c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...   \n",
       "3  c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...   \n",
       "4  c3s-cmip6-decadal.DCPP.MOHC.HadGEM3-GC31-MM.dc...   \n",
       "\n",
       "                                                path       size   \n",
       "0  DCPP/MPI-M/MPI-ESM1-2-HR/dcppA-hindcast/s2016-...  492479692  \\\n",
       "1  DCPP/MPI-M/MPI-ESM1-2-HR/dcppA-hindcast/s2009-...  737204109   \n",
       "2  DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s1987...     953384   \n",
       "3  DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s1995...     603757   \n",
       "4  DCPP/MOHC/HadGEM3-GC31-MM/dcppA-hindcast/s2004...   14824913   \n",
       "\n",
       "             mip_era activity_id institution_id        source_id   \n",
       "0  c3s-cmip6-decadal        DCPP          MPI-M    MPI-ESM1-2-HR  \\\n",
       "1  c3s-cmip6-decadal        DCPP          MPI-M    MPI-ESM1-2-HR   \n",
       "2  c3s-cmip6-decadal        DCPP           MOHC  HadGEM3-GC31-MM   \n",
       "3  c3s-cmip6-decadal        DCPP           MOHC  HadGEM3-GC31-MM   \n",
       "4  c3s-cmip6-decadal        DCPP           MOHC  HadGEM3-GC31-MM   \n",
       "\n",
       "    experiment_id        member_id table_id variable_id grid_label    version   \n",
       "0  dcppA-hindcast   s2016-r8i1p1f1      day      tasmax         gn  v20210111  \\\n",
       "1  dcppA-hindcast   s2009-r8i1p1f1      day          pr         gn  v20210107   \n",
       "2  dcppA-hindcast   s1987-r3i1p1f2     Amon          pr         gn  v20200417   \n",
       "3  dcppA-hindcast   s1995-r6i1p1f2     Amon         tas         gn  v20200417   \n",
       "4  dcppA-hindcast  s2004-r10i1p1f2   AERday       zg500         gn  v20200417   \n",
       "\n",
       "            start_time             end_time                         bbox   \n",
       "0  2016-11-01T12:00:00  2026-12-31T12:00:00  0.00, -89.28, 359.06, 89.28  \\\n",
       "1  2009-11-01T12:00:00  2019-12-31T12:00:00  0.00, -89.28, 359.06, 89.28   \n",
       "2  1987-11-16T00:00:00  1987-12-16T00:00:00  0.42, -89.72, 359.58, 89.72   \n",
       "3  1995-11-16T00:00:00  1995-12-16T00:00:00  0.42, -89.72, 359.58, 89.72   \n",
       "4  2004-11-01T12:00:00  2004-12-30T12:00:00  0.42, -89.72, 359.58, 89.72   \n",
       "\n",
       "      level member_year member_ensemble             prefix  \n",
       "0      2.00       s2016        r8i1p1f1  c3s-cmip6-decadal  \n",
       "1       NaN       s2009        r8i1p1f1  c3s-cmip6-decadal  \n",
       "2       NaN       s1987        r3i1p1f2  c3s-cmip6-decadal  \n",
       "3      1.50       s1995        r6i1p1f2  c3s-cmip6-decadal  \n",
       "4  50000.00       s2004       r10i1p1f2  c3s-cmip6-decadal  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_url = \"https://raw.githubusercontent.com/cp4cds/c3s_34g_manifests/master/intake/catalogs/c3s.yaml\"\n",
    "\n",
    "cat = intake.open_catalog(cat_url)\n",
    "df_cmip6_decadal = cat['c3s-cmip6-decadal'].read()\n",
    "df_cmip6_decadal.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r5i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r2i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r6i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r8i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r14i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r4i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r11i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r15i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r10i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r13i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r12i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r7i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r16i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r1i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r3i1p1f1.Amon.pr.gn.v20220126',\n",
       " 'c3s-cmip6-decadal.DCPP.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018-r9i1p1f1.Amon.pr.gn.v20220126']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df_cmip6_decadal.loc[\n",
    "    (df_cmip6_decadal.variable_id==\"pr\") \n",
    "    & (df_cmip6_decadal.experiment_id==\"dcppA-hindcast\")\n",
    "    & (df_cmip6_decadal.table_id==\"Amon\")\n",
    "    & (df_cmip6_decadal.source_id==\"MPI-ESM1-2-LR\")\n",
    "    & (df_cmip6_decadal.member_year==\"s2018\")\n",
    "]\n",
    "dsets = list(df.ds_id.unique())\n",
    "dsets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run concat\n",
    "\n",
    "https://docs.xarray.dev/en/stable/generated/xarray.concat.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "duration: 12 secs\n",
      "Metalink URL: http://rook4.cloud.dkrz.de:80/outputs/rook/cbe2f91a-140c-11ee-be07-fa163ed6c06f/input.meta4, num files: 1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "start = time.time()\n",
    "\n",
    "t = \"2019/2019\"\n",
    "#tc = \"month:dec|day:01\"\n",
    "\n",
    "wf = ops.Concat(\n",
    "        ops.Input('ds', dsets),\n",
    "        time=t,\n",
    "        #time_components=tc,\n",
    "        dims=\"realization\",\n",
    "        #apply_average=1\n",
    ")\n",
    "\n",
    "# optional average\n",
    "wf = ops.Average(wf, dims=\"realization\")\n",
    "\n",
    "# optional subset\n",
    "wf = ops.Subset(\n",
    "    wf, time=t, \n",
    "    # time_components=tc\n",
    ")\n",
    "\n",
    "resp = wf.orchestrate()\n",
    "\n",
    "end = time.time()\n",
    "print(f\"duration: {int(end - start)} secs\")\n",
    "print(resp)\n",
    "\n",
    "resp.ok"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**open with xarray**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8807840347290039"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp.size_in_mb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['http://rook4.cloud.dkrz.de:80/outputs/rook/d1b99826-140c-11ee-a82b-fa163ed6c06f/pr_Amon_MPI-ESM1-2-LR_dcppA-hindcast_r10i1p1f1_gn_20190131-20191231.nc']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp.download_urls()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading to /var/folders/qb/mg0csz190wd4rxybhhnwjln80000gn/T/metalink_3_p_smm3/pr_Amon_MPI-ESM1-2-LR_dcppA-hindcast_r10i1p1f1_gn_20190131-20191231.nc.\n"
     ]
    }
   ],
   "source": [
    "dsets = resp.datasets()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (lat: 96, bnds: 2, lon: 192, time: 12)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2019-01-31T18:00:00 ... 2019-12-31T18:...\n",
       "  * lon          (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "  * lat          (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "    reftime      datetime64[ns] ...\n",
       "    leadtime     (time) timedelta64[ns] ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lat_bnds     (lat, bnds) float64 ...\n",
       "    lon_bnds     (lon, bnds) float64 ...\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "    realization  float64 ...\n",
       "Attributes: (12/47)\n",
       "    CDI:                         Climate Data Interface version 2.0.3 (https:...\n",
       "    cdo_openmp_thread_number:    10\n",
       "    NCO:                         netCDF Operators version 4.9.2 (Homepage = h...\n",
       "    institute_id:                DWD\n",
       "    model_id:                    MPI-ESM-LR\n",
       "    modeling_realm:              atmos\n",
       "    ...                          ...\n",
       "    license:                     CMIP6 model data produced by DWD is licensed...\n",
       "    cmor_version:                3.5.0\n",
       "    forcing_description:         f1, CMIP6 historical forcings\n",
       "    physics_description:         physics from the standard model configuratio...\n",
       "    initialization_description:  hindcast initialized based on observations a...\n",
       "    startdate:                   s201811</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-bdbd37f3-ab27-45b1-abbe-45ec1ec5a13e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bdbd37f3-ab27-45b1-abbe-45ec1ec5a13e' 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>: 96</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-171d8a0b-a3c0-4d44-a825-35c854f477cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-171d8a0b-a3c0-4d44-a825-35c854f477cd' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-01-31T18:00:00 ... 2019-12-...</div><input id='attrs-eb2eae3c-a01d-459a-8e0d-02e487e4fec8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb2eae3c-a01d-459a-8e0d-02e487e4fec8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef8a05b1-c7ef-42ad-9747-02b98fff8740' class='xr-var-data-in' type='checkbox'><label for='data-ef8a05b1-c7ef-42ad-9747-02b98fff8740' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>valid_time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-01-31T18:00:00.000000000&#x27;, &#x27;2019-02-28T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-31T18:00:00.000000000&#x27;, &#x27;2019-04-30T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-31T18:00:00.000000000&#x27;, &#x27;2019-06-30T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-31T18:00:00.000000000&#x27;, &#x27;2019-08-31T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-30T18:00:00.000000000&#x27;, &#x27;2019-10-31T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-30T18:00:00.000000000&#x27;, &#x27;2019-12-31T18:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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 1.875 3.75 ... 356.2 358.1</div><input id='attrs-b5011911-6c06-41ab-b934-42f11686b004' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5011911-6c06-41ab-b934-42f11686b004' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-053aa078-32c0-4cc3-b94a-8fdcf067a45a' class='xr-var-data-in' type='checkbox'><label for='data-053aa078-32c0-4cc3-b94a-8fdcf067a45a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</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'>-88.57 -86.72 ... 86.72 88.57</div><input id='attrs-79cea70a-b48d-4dfa-b776-5384c2e2851c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79cea70a-b48d-4dfa-b776-5384c2e2851c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82e10303-b6dd-4d91-a646-13914f5a5862' class='xr-var-data-in' type='checkbox'><label for='data-82e10303-b6dd-4d91-a646-13914f5a5862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-88.572169, -86.722531, -84.86197 , -82.998942, -81.134977, -79.270559,\n",
       "       -77.405888, -75.541061, -73.676132, -71.811132, -69.946081, -68.080991,\n",
       "       -66.215872, -64.35073 , -62.485571, -60.620396, -58.755209, -56.890013,\n",
       "       -55.024808, -53.159595, -51.294377, -49.429154, -47.563926, -45.698694,\n",
       "       -43.833459, -41.96822 , -40.102979, -38.237736, -36.372491, -34.507243,\n",
       "       -32.641994, -30.776744, -28.911492, -27.046239, -25.180986, -23.315731,\n",
       "       -21.450475, -19.585219, -17.719962, -15.854704, -13.989446, -12.124187,\n",
       "       -10.258928,  -8.393669,  -6.528409,  -4.66315 ,  -2.79789 ,  -0.93263 ,\n",
       "         0.93263 ,   2.79789 ,   4.66315 ,   6.528409,   8.393669,  10.258928,\n",
       "        12.124187,  13.989446,  15.854704,  17.719962,  19.585219,  21.450475,\n",
       "        23.315731,  25.180986,  27.046239,  28.911492,  30.776744,  32.641994,\n",
       "        34.507243,  36.372491,  38.237736,  40.102979,  41.96822 ,  43.833459,\n",
       "        45.698694,  47.563926,  49.429154,  51.294377,  53.159595,  55.024808,\n",
       "        56.890013,  58.755209,  60.620396,  62.485571,  64.35073 ,  66.215872,\n",
       "        68.080991,  69.946081,  71.811132,  73.676132,  75.541061,  77.405888,\n",
       "        79.270559,  81.134977,  82.998942,  84.86197 ,  86.722531,  88.572169])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reftime</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ddf9243-b3a0-45dd-8359-c8de0ad55b56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ddf9243-b3a0-45dd-8359-c8de0ad55b56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e885434-5fd7-4296-8b85-676a06561037' class='xr-var-data-in' type='checkbox'><label for='data-1e885434-5fd7-4296-8b85-676a06561037' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start date of the forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>leadtime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9134a6a4-eb3a-4e58-a038-973655f18fd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9134a6a4-eb3a-4e58-a038-973655f18fd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-572f821b-e6c4-4f3f-aae0-4d741446a019' class='xr-var-data-in' type='checkbox'><label for='data-572f821b-e6c4-4f3f-aae0-4d741446a019' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time elapsed since the start of the forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=timedelta64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69ccd05d-8a61-4f87-b8e1-637fcb3c9acf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69ccd05d-8a61-4f87-b8e1-637fcb3c9acf' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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-f4d9030e-6dd5-4ea1-b653-88528fc3e607' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4d9030e-6dd5-4ea1-b653-88528fc3e607' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf29d0c-2ba5-46eb-a6bd-6ee6e0fae3b3' class='xr-var-data-in' type='checkbox'><label for='data-5cf29d0c-2ba5-46eb-a6bd-6ee6e0fae3b3' 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>[192 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'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e4ca6cf-0333-471d-875e-ce803c093848' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e4ca6cf-0333-471d-875e-ce803c093848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cede167-2cc6-46e5-8ec0-492810116b16' class='xr-var-data-in' type='checkbox'><label for='data-2cede167-2cc6-46e5-8ec0-492810116b16' 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>[384 values with dtype=float64]</pre></div></li><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-8f731e7c-2f19-4817-8b4c-950972a38c3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f731e7c-2f19-4817-8b4c-950972a38c3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6820ac4c-96bc-4a2c-8a56-013f81a34479' class='xr-var-data-in' type='checkbox'><label for='data-6820ac4c-96bc-4a2c-8a56-013f81a34479' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>includes both liquid and solid phases</dd><dt><span>cell_methods :</span></dt><dd>area: time: mean</dd><dt><span>cell_measures :</span></dt><dd>areacella</dd></dl></div><div class='xr-var-data'><pre>[221184 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>realization</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-583e09cc-1fe5-4634-a612-8fcae917f4f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583e09cc-1fe5-4634-a612-8fcae917f4f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db04b097-485f-4709-82d5-9bec71c4118b' class='xr-var-data-in' type='checkbox'><label for='data-db04b097-485f-4709-82d5-9bec71c4118b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>realization</dd><dt><span>comment :</span></dt><dd>For more information on the ripf, refer to the variant_label, initialization_description, physics_description and forcing_description global attributes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80eca3fd-f2cd-45e8-a6eb-e8aadb448fdf' class='xr-section-summary-in' type='checkbox'  ><label for='section-80eca3fd-f2cd-45e8-a6eb-e8aadb448fdf' 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>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7bf5b72a-5acf-4e89-a9d9-2000e0498050' class='xr-index-data-in' type='checkbox'/><label for='index-7bf5b72a-5acf-4e89-a9d9-2000e0498050' 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(DatetimeIndex([&#x27;2019-01-31 18:00:00&#x27;, &#x27;2019-02-28 18:00:00&#x27;,\n",
       "               &#x27;2019-03-31 18:00:00&#x27;, &#x27;2019-04-30 18:00:00&#x27;,\n",
       "               &#x27;2019-05-31 18:00:00&#x27;, &#x27;2019-06-30 18:00:00&#x27;,\n",
       "               &#x27;2019-07-31 18:00:00&#x27;, &#x27;2019-08-31 18:00:00&#x27;,\n",
       "               &#x27;2019-09-30 18:00:00&#x27;, &#x27;2019-10-31 18:00:00&#x27;,\n",
       "               &#x27;2019-11-30 18:00:00&#x27;, &#x27;2019-12-31 18:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</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-57f32b94-81bd-4494-a7f7-3c3e42ff098c' class='xr-index-data-in' type='checkbox'/><label for='index-57f32b94-81bd-4494-a7f7-3c3e42ff098c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([    0.0,   1.875,    3.75,   5.625,     7.5,   9.375,   11.25,  13.125,\n",
       "          15.0,  16.875,\n",
       "       ...\n",
       "        341.25, 343.125,   345.0, 346.875,  348.75, 350.625,   352.5, 354.375,\n",
       "        356.25, 358.125],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=192))</pre></div></li><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-1dcb82a3-b7a5-4205-adc2-99db557c7f6b' class='xr-index-data-in' type='checkbox'/><label for='index-1dcb82a3-b7a5-4205-adc2-99db557c7f6b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -88.57216851400727,  -86.72253095466814,  -84.86197029204237,\n",
       "        -82.99894164283755,  -81.13497683767741,  -79.27055903485967,\n",
       "        -77.40588808207882,  -75.54106145287895,  -73.67613231320914,\n",
       "        -71.81113211427447,  -69.94608064698342,  -68.08099098565125,\n",
       "         -66.2158721139987,  -64.35073040887207,  -62.48557052203639,\n",
       "        -60.62039592682648,  -58.75520926937993, -56.890012601357114,\n",
       "        -55.02480753831166,  -53.15959537001968,  -51.29437713895115,\n",
       "        -49.42915369712305,  -47.56392574797867, -45.698693877701785,\n",
       "        -43.83345857895126,  -41.96822026907538,   -40.1029793042494,\n",
       "       -38.237735990564836,  -36.37249059281224,  -34.50724334150103,\n",
       "        -32.64199443851768,  -30.77674406172325,  -28.91149236871774,\n",
       "        -27.04623949994481, -25.180985581270594,  -23.31573072614093,\n",
       "       -21.450475037398185,  -19.58521860882233, -17.719961526447428,\n",
       "       -15.854703869694873, -13.989445712356673, -12.124187123455766,\n",
       "       -10.258928168006376,  -8.393668907692383, -6.5284094014799905,\n",
       "        -4.663149706177884,  -2.797889876956741,  -0.932629967837991,\n",
       "         0.932629967837991,   2.797889876956741,   4.663149706177884,\n",
       "        6.5284094014799905,   8.393668907692383,  10.258928168006376,\n",
       "        12.124187123455766,  13.989445712356673,  15.854703869694873,\n",
       "        17.719961526447428,   19.58521860882233,  21.450475037398185,\n",
       "         23.31573072614093,  25.180985581270594,   27.04623949994481,\n",
       "         28.91149236871774,   30.77674406172325,   32.64199443851768,\n",
       "         34.50724334150103,   36.37249059281224,  38.237735990564836,\n",
       "          40.1029793042494,   41.96822026907538,   43.83345857895126,\n",
       "        45.698693877701785,   47.56392574797867,   49.42915369712305,\n",
       "         51.29437713895115,   53.15959537001968,   55.02480753831166,\n",
       "        56.890012601357114,   58.75520926937993,   60.62039592682648,\n",
       "         62.48557052203639,   64.35073040887207,    66.2158721139987,\n",
       "         68.08099098565125,   69.94608064698342,   71.81113211427447,\n",
       "         73.67613231320914,   75.54106145287895,   77.40588808207882,\n",
       "         79.27055903485967,   81.13497683767741,   82.99894164283755,\n",
       "         84.86197029204237,   86.72253095466814,   88.57216851400727],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebe298d3-3b51-4d34-b459-f61cd398ba3b' class='xr-section-summary-in' type='checkbox'  ><label for='section-ebe298d3-3b51-4d34-b459-f61cd398ba3b' class='xr-section-summary' >Attributes: <span>(47)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 2.0.3 (https://mpimet.mpg.de/cdi)</dd><dt><span>cdo_openmp_thread_number :</span></dt><dd>10</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.9.2 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>institute_id :</span></dt><dd>DWD</dd><dt><span>model_id :</span></dt><dd>MPI-ESM-LR</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>institution :</span></dt><dd>Deutscher Wetterdienst, Offenbach 63067, Germany</dd><dt><span>experiment_id :</span></dt><dd>dcppA-hindcast</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>activity_id :</span></dt><dd>DCPP</dd><dt><span>branch_method :</span></dt><dd>Ensemble Kalman Filter initialization</dd><dt><span>contact :</span></dt><dd>klaus.pankatz@dwd.de</dd><dt><span>creation_date :</span></dt><dd>01-28-22TJan:43:1643366616Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>experiment :</span></dt><dd>hindcast initialized based on observations and using historical forcing</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.DWD.MPI-ESM1-2-LR.dcppA-hindcast.s2018.r10i1p1f1</dd><dt><span>grid :</span></dt><dd>spectral T63; 192 x 96 longitude/latitude</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution_id :</span></dt><dd>DWD</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>200 km</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>project_id :</span></dt><dd>CMIP6</dd><dt><span>realization_index :</span></dt><dd>10</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>MPI-ESM: Mauritsen, T. et al. (2019), Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2, J. Adv. Model. Earth Syst.,11, 998-1038, doi:10.1029/2018MS001400</dd><dt><span>source_id :</span></dt><dd>MPI-ESM1-2-LR</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>sub_experiment :</span></dt><dd>initialized near end of year 2018</dd><dt><span>sub_experiment_id :</span></dt><dd>s201811</dd><dt><span>table_id :</span></dt><dd>Amon</dd><dt><span>table_info :</span></dt><dd>Creation Date:(09 May 2019) MD5:390645ec184a69a5914a3b461e97af48</dd><dt><span>title :</span></dt><dd>MPI-ESM1-2-LR output prepared for CMIP6</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/41cb5caa-0da0-42ce-ab0c-01f5b06ddf1f</dd><dt><span>variable_id :</span></dt><dd>pr</dd><dt><span>variant_label :</span></dt><dd>r10i1p1f1</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by DWD is licensed under a Creative Commons Attribution ShareAlike 4.0 International License (CC-BY-SA 4.0 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. 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>cmor_version :</span></dt><dd>3.5.0</dd><dt><span>forcing_description :</span></dt><dd>f1, CMIP6 historical forcings</dd><dt><span>physics_description :</span></dt><dd>physics from the standard model configuration, with no additional tuning or different parametrization</dd><dt><span>initialization_description :</span></dt><dd>hindcast initialized based on observations and using historical forcing</dd><dt><span>startdate :</span></dt><dd>s201811</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (lat: 96, bnds: 2, lon: 192, time: 12)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2019-01-31T18:00:00 ... 2019-12-31T18:...\n",
       "  * lon          (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "  * lat          (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "    reftime      datetime64[ns] ...\n",
       "    leadtime     (time) timedelta64[ns] ...\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lat_bnds     (lat, bnds) float64 ...\n",
       "    lon_bnds     (lon, bnds) float64 ...\n",
       "    pr           (time, lat, lon) float32 ...\n",
       "    realization  float64 ...\n",
       "Attributes: (12/47)\n",
       "    CDI:                         Climate Data Interface version 2.0.3 (https:...\n",
       "    cdo_openmp_thread_number:    10\n",
       "    NCO:                         netCDF Operators version 4.9.2 (Homepage = h...\n",
       "    institute_id:                DWD\n",
       "    model_id:                    MPI-ESM-LR\n",
       "    modeling_realm:              atmos\n",
       "    ...                          ...\n",
       "    license:                     CMIP6 model data produced by DWD is licensed...\n",
       "    cmor_version:                3.5.0\n",
       "    forcing_description:         f1, CMIP6 historical forcings\n",
       "    physics_description:         physics from the standard model configuratio...\n",
       "    initialization_description:  hindcast initialized based on observations a...\n",
       "    startdate:                   s201811"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = dsets[0]\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**provenance**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://rook4.cloud.dkrz.de:80/outputs/rook/cbe2f91a-140c-11ee-be07-fa163ed6c06f/provenance.png'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prov_plot_url = resp.provenance_image()\n",
    "prov_plot_url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from IPython.display import Image\n",
    "# Image(prov_plot_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://rook4.cloud.dkrz.de:80/outputs/rook/cbe2f91a-140c-11ee-be07-fa163ed6c06f/provenance.json'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resp.provenance()"
   ]
  }
 ],
 "metadata": {
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   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
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 "nbformat": 4,
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