acs-replica-demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ac21eae2-156c-45e5-92d9-c3758385219d",
   "metadata": {},
   "source": [
    "# Using intake to access the Australian Community Reference  Climate Data Collection at NCI "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f753559-0046-4cb6-8a1c-6654334ba28e",
   "metadata": {},
   "source": [
    "This notebook will show you how you can use the intake catalogue we prepared for the aus-ref-clim-data-nci collection hosted ont he NCI server under the `ia39` project.<br>\n",
    "To access the data and the catalogue you need to part of the ia39 project<br><br>\n",
    "\n",
    "You also need to have intake and intake-esm installed.<br>\n",
    "NB as long as intake-esm is installed you only need to load intake in your code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e6a9b897-1501-4734-a6a1-7caa1b37dbe7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import intake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "28282822-a4f4-4067-becb-d2e517c676a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['cmip6_etccdi', 'gpcc', 'gpcp', 'cmap', 'frogs', 'ghcn', 'cmorph']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat = intake.open_catalog('/g/data/ia39/aus-ref-clim-data-nci/acs-replica-intake/catalogue.yaml')\n",
    "list(cat)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2d50b8c-2ff8-4145-a8a3-2666b14fde1b",
   "metadata": {},
   "source": [
    "If you are using the CLEX managed hh5 conda environments, both modules are already installed together with the catalogue. So you can use the shortcut below to load the catalogue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4774c610-bf8d-4164-a302-f8db0afb657f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!module use /g/data3/hh5/public/modules \n",
    "#!module load conda/analysis3\n",
    "# cat = intake.cat.acsreplica"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04c49371-e341-445e-abcf-cdfb0c66abf6",
   "metadata": {
    "tags": []
   },
   "source": [
    "NB you can also use `cat._entries` to see a much more detailed description of catalogue entries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7c3e8b59-2d69-4c29-af18-cd942a605920",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cmip6_etccdi': name: cmip6_etccdi\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: Replica of the Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections dataset (CICERO_ETCCDI) from the Copernicus Climate Datastore on gadi. This collection is a copy of CICERO_ETCCDI, which includes climate indices calculated on CMIP6 models historical and projections experiments. The collection includes ETCCDI (climate extrems indices) at yearly and monthly resolution, and HSI (Heat Stress Indicators) at daily resolution.\n",
       " This dataset is part of the Australian Community Reference Climate Data Collection at NCI.\n",
       " The files were downloaded from the CDS as netcdf files and compressed using nccopy.\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/cmip6_etccdi/catalogue.json,\n",
       " 'gpcc': name: gpcc\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: Replica of the full reanalysis of GPCC gridded gauge-analysis products derived from quality controlled station data. The latest version is V2022 monthly and daily covering from 1891 to 2020. The data is available on 4 global grids (0.25, 0.5, 1.0 and 2.5 degrees) for monthly and only at 1.0  degrees resolution for daily. |\n",
       " The data is not bias-corrected for gauges errors, but estimates on these are also provided.\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/gpcc/catalogue.json,\n",
       " 'gpcp': name: gpcp\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: Replica of the GPCP One-Degree monthly and daily precipiation datasets.\n",
       " GPCP daily v1.3 provides globally complete precipitation estimates at a spatial resolution of one degree latitude-longitude and daily time scale from October 1996 to the present.\n",
       " GPCP monthly v2.3 satellite-gauge and associated precipitation error estimates and covers the period January 1979 to the present.\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/gpcp/catalogue.json,\n",
       " 'cmap': name: cmap\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: Replica of the CMAP precipitation including monthly and pentad global gridded precipitation means. It has a standard version (std) and one enhanced (enh) with NCEP Reanalysis. CMAP covers from 1979 to near the present on a global grid at 2.5 degree latitude x 2.5 degree longitude resolution.\n",
       " The original data is ascii, this is a netcdf version from the Physical Sciences Laboratory (PSL).\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/gpcp/catalogue.json,\n",
       " 'frogs': name: frogs\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: Replica of the Frequent Rainfall Observations on GridS (FROGS) database.\n",
       " FROGs is a collection of daily precipitation products on a common 1×1 deg grid. The collection includes satellite, ground-based and reanalysis products.\n",
       " The temporal range included starts from 1901 to 2019 depending on the data product.\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/gpcp/catalogue.json,\n",
       " 'ghcn': name: ghcn\n",
       " container: dataframe\n",
       " plugin: ['csv']\n",
       " driver: ['csv']\n",
       " description: Replica of the daily station precipitation data from the Global Historical Climatology Network (GHCN).\n",
       " GHCN-Daily is an integrated database of daily climate summaries from land surface stations across the globe.\n",
       " It contains records from over 100,000 stations in 180 countries and territories. The period of record station files are parsed into yearly csv files that contain all available GHCN Daily station data for that year plus a time of observation field (where available).\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   urlpath: /g/data/ia39/aus-ref-clim-data-nci/ghcn/data/daily/by_year/{year}.csv,\n",
       " 'cmorph': name: cmorph\n",
       " container: xarray\n",
       " plugin: ['esm_datastore']\n",
       " driver: ['esm_datastore']\n",
       " description: This data set is for the bias-corrected, reprocessed CPC Morphing technique (CMORPH) high-resolution global satellite precipitation estimates. \n",
       " The bias corrected CMORPH satellite precipitation estimates are created on an 8 km by 8 km grid over the global domain from 60 degrees S to 60 degrees N and in a 30-minute interval from January 1998 to present. Due to the delay of some input data sets, this formal version (Version 1) bias corrected CMORPH is produced manually once a month at a latency of 3-4 months.\n",
       " \n",
       " direct_access: forbid\n",
       " user_parameters: []\n",
       " metadata: \n",
       " args: \n",
       "   esmcol_obj: {{CATALOG_DIR}}/cmorph/catalogue.json}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NB you can also use cat._entries to see a much more detailed description of catalogue entries\n",
    "cat._entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fbfb66f0-3810-42b0-af7a-0ce6efa489f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>cmip6_etccdi catalog with 4076 dataset(s) from 33220 asset(s)</strong>:</p> <div>\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>unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>path</th>\n",
       "      <td>33220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index_type</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>base</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>experiment</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ensemble</th>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_range</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load the entry for cmip6_etccdi, you can see etcddi is a pandas DataFrame\n",
    "etccdi = cat['cmip6_etccdi']\n",
    "etccdi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f016eabf-2c56-4068-adf9-f79038db00a0",
   "metadata": {},
   "source": [
    "You can see `etcddi` is a pandas DataFrame, with `path` and all the dataset attributes as columns.<br>\n",
    "As it is a DataFrame you can use pandas methods like `head` and `columns` via the `df` accessor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ae323995-99d0-437c-b117-bd03fc32b873",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns are Index(['path', 'index_type', 'base', 'frequency', 'experiment', 'model',\n",
      "       'ensemble', 'variable', 'date_range'],\n",
      "      dtype='object')\n",
      "\n"
     ]
    },
    {
     "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>path</th>\n",
       "      <th>index_type</th>\n",
       "      <th>base</th>\n",
       "      <th>frequency</th>\n",
       "      <th>experiment</th>\n",
       "      <th>model</th>\n",
       "      <th>ensemble</th>\n",
       "      <th>variable</th>\n",
       "      <th>date_range</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...</td>\n",
       "      <td>etccdi</td>\n",
       "      <td>base_independent</td>\n",
       "      <td>yr</td>\n",
       "      <td>ssp370</td>\n",
       "      <td>ACCESS-CM2</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>txx</td>\n",
       "      <td>2015-2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...</td>\n",
       "      <td>etccdi</td>\n",
       "      <td>base_independent</td>\n",
       "      <td>yr</td>\n",
       "      <td>ssp370</td>\n",
       "      <td>ACCESS-CM2</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>r10mm</td>\n",
       "      <td>2015-2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...</td>\n",
       "      <td>etccdi</td>\n",
       "      <td>base_independent</td>\n",
       "      <td>yr</td>\n",
       "      <td>ssp370</td>\n",
       "      <td>ACCESS-CM2</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>tnn</td>\n",
       "      <td>2015-2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...</td>\n",
       "      <td>etccdi</td>\n",
       "      <td>base_independent</td>\n",
       "      <td>yr</td>\n",
       "      <td>ssp370</td>\n",
       "      <td>ACCESS-CM2</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>tnx</td>\n",
       "      <td>2015-2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...</td>\n",
       "      <td>etccdi</td>\n",
       "      <td>base_independent</td>\n",
       "      <td>yr</td>\n",
       "      <td>ssp370</td>\n",
       "      <td>ACCESS-CM2</td>\n",
       "      <td>r1i1p1f1</td>\n",
       "      <td>txn</td>\n",
       "      <td>2015-2100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                path index_type  \\\n",
       "0  /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...     etccdi   \n",
       "1  /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...     etccdi   \n",
       "2  /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...     etccdi   \n",
       "3  /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...     etccdi   \n",
       "4  /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccd...     etccdi   \n",
       "\n",
       "               base frequency experiment       model  ensemble variable  \\\n",
       "0  base_independent        yr     ssp370  ACCESS-CM2  r1i1p1f1      txx   \n",
       "1  base_independent        yr     ssp370  ACCESS-CM2  r1i1p1f1    r10mm   \n",
       "2  base_independent        yr     ssp370  ACCESS-CM2  r1i1p1f1      tnn   \n",
       "3  base_independent        yr     ssp370  ACCESS-CM2  r1i1p1f1      tnx   \n",
       "4  base_independent        yr     ssp370  ACCESS-CM2  r1i1p1f1      txn   \n",
       "\n",
       "  date_range  \n",
       "0  2015-2100  \n",
       "1  2015-2100  \n",
       "2  2015-2100  \n",
       "3  2015-2100  \n",
       "4  2015-2100  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f\"Columns are {etccdi.df.columns}\\n\")\n",
    "etccdi.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8cdd24b-e034-4a7a-829c-7ca6328c3ab2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to see all the methods are available for the catalogue use dir()\n",
    "# dir(etccdi)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ef721ca-5fb5-47c6-8fd1-cb0193162185",
   "metadata": {
    "tags": []
   },
   "source": [
    "Let's check what is in `etccdi`, we can use:<br>\n",
    " * `description` to get an overview;\n",
    " * `aggregation_info` to check aggreagtion options for this dataset\n",
    " * `unique()` to return all the unique values available for each column\n",
    " \n",
    "As unique() is dictionary if we know the columns we can directly access the values for a selected key, as shown below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c4d955fe-4023-4ee2-b8b6-e42598719da6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Replica of the Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections dataset (CICERO_ETCCDI) from the Copernicus Climate Datastore on gadi. This collection is a copy of CICERO_ETCCDI, which includes climate indices calculated on CMIP6 models historical and projections experiments. The collection includes ETCCDI (climate extrems indices) at yearly and monthly resolution, and HSI (Heat Stress Indicators) at daily resolution.\n",
      "This dataset is part of the Australian Community Reference Climate Data Collection at NCI.\n",
      "The files were downloaded from the CDS as netcdf files and compressed using nccopy.\n",
      "\n",
      "\n",
      "AggregationInfo(groupby_attrs=['index_type', 'base', 'frequency', 'experiment', 'model', 'ensemble'], variable_column_name='variable', aggregations=[{'type': 'union', 'attribute_name': 'variable'}], agg_columns=['variable'], aggregation_dict={'variable': {'type': 'union'}})\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'count': 3, 'values': ['day', 'yr', 'mon']}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(etccdi.description)\n",
    "print()\n",
    "print(etccdi.aggregation_info)\n",
    "print()\n",
    "etccdi.unique()['frequency']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f085a4e8-4b1e-46d4-9866-111cdf004063",
   "metadata": {},
   "source": [
    "We can execute a query using the method `search()`. Let's select a subset passing the search() method some constraints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5e8e8d8b-bf2b-4d1a-87f1-e199c5b60dcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>cmip6_etccdi catalog with 1 dataset(s) from 7 asset(s)</strong>:</p> <div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>path</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index_type</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>base</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>experiment</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ensemble</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_range</th>\n",
       "      <td>1</td>\n",
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    "subset = etccdi.search( base='base_independent', \n",
    "                        frequency='mon', \n",
    "                        model='ACCESS-CM2', \n",
    "                        experiment='historical', \n",
    "                        ensemble='r1i1p1f1' )\n",
    "subset"
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   "source": [
    "Our subset consists of 7 files representing 7 variables for the same model, ensemble, experiment, etc.<br>\n",
    "To actually load the data in xarray, we first have to create a dictionary of datasets using `to_dataset_dict()`."
   ]
  },
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   "execution_count": 8,
   "id": "1bd246eb-be06-4f51-bcd7-29e534b359d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'index_type.base.frequency.experiment.model.ensemble'\n"
     ]
    },
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       "dict_keys(['etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1'])"
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    "dset_dict = subset.to_dataset_dict()\n",
    "dset_dict.keys()"
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    "Finally we can simply load a dataset using its key"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (lon: 192, bnds: 2, lat: 144, time: 1980)\n",
       "Coordinates:\n",
       "  * lon           (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
       "  * lat           (lat) float64 -89.38 -88.12 -86.88 ... 86.88 88.12 89.38\n",
       "    height        float64 9.969e+36\n",
       "  * time          (time) datetime64[ns] 1850-01-16 ... 2014-12-16\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float64 dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds      (lat, bnds) float64 dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;\n",
       "    time_bnds     (time, bnds) datetime64[ns] dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;\n",
       "    txxETCCDI     (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    tnxETCCDI     (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    rx1dayETCCDI  (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    tnnETCCDI     (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    dtrETCCDI     (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    txnETCCDI     (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "    rx5dayETCCDI  (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "Attributes: (12/58)\n",
       "    variable_id:              tasmax\n",
       "    institution:              CSIRO (Commonwealth Scientific and Industrial R...\n",
       "    parent_mip_era:           CMIP6\n",
       "    input_frequency:          day\n",
       "    ETCCDI_software_version:  1.1.9.1\n",
       "    cmor_version:             3.4.0\n",
       "    ...                       ...\n",
       "    input_tracking_id:        hdl:21.14100/9273db06-8b75-4cd5-a2de-7d8dd6601bf7\n",
       "    ETCCDI_institution:       Center for International Climate and Environmen...\n",
       "    parent_experiment_id:     piControl\n",
       "    CDI:                      Climate Data Interface version 1.8.0 (http://mp...\n",
       "    variant_label:            r1i1p1f1\n",
       "    intake_esm_dataset_key:   etccdi.base_independent.mon.historical.ACCESS-C...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a173e8d-7a0d-454e-87f6-7aecca625b6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a173e8d-7a0d-454e-87f6-7aecca625b6e' 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'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 144</li><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89957938-72cc-48f7-b8b4-6a722058f826' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89957938-72cc-48f7-b8b4-6a722058f826' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9375 2.812 4.688 ... 357.2 359.1</div><input id='attrs-52540b52-8ffc-41e1-8ac6-1ddba9b03f5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52540b52-8ffc-41e1-8ac6-1ddba9b03f5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-721b9a91-ce70-4393-9e61-2fb1511bf50c' class='xr-var-data-in' type='checkbox'><label for='data-721b9a91-ce70-4393-9e61-2fb1511bf50c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><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([  0.9375,   2.8125,   4.6875,   6.5625,   8.4375,  10.3125,  12.1875,\n",
       "        14.0625,  15.9375,  17.8125,  19.6875,  21.5625,  23.4375,  25.3125,\n",
       "        27.1875,  29.0625,  30.9375,  32.8125,  34.6875,  36.5625,  38.4375,\n",
       "        40.3125,  42.1875,  44.0625,  45.9375,  47.8125,  49.6875,  51.5625,\n",
       "        53.4375,  55.3125,  57.1875,  59.0625,  60.9375,  62.8125,  64.6875,\n",
       "        66.5625,  68.4375,  70.3125,  72.1875,  74.0625,  75.9375,  77.8125,\n",
       "        79.6875,  81.5625,  83.4375,  85.3125,  87.1875,  89.0625,  90.9375,\n",
       "        92.8125,  94.6875,  96.5625,  98.4375, 100.3125, 102.1875, 104.0625,\n",
       "       105.9375, 107.8125, 109.6875, 111.5625, 113.4375, 115.3125, 117.1875,\n",
       "       119.0625, 120.9375, 122.8125, 124.6875, 126.5625, 128.4375, 130.3125,\n",
       "       132.1875, 134.0625, 135.9375, 137.8125, 139.6875, 141.5625, 143.4375,\n",
       "       145.3125, 147.1875, 149.0625, 150.9375, 152.8125, 154.6875, 156.5625,\n",
       "       158.4375, 160.3125, 162.1875, 164.0625, 165.9375, 167.8125, 169.6875,\n",
       "       171.5625, 173.4375, 175.3125, 177.1875, 179.0625, 180.9375, 182.8125,\n",
       "       184.6875, 186.5625, 188.4375, 190.3125, 192.1875, 194.0625, 195.9375,\n",
       "       197.8125, 199.6875, 201.5625, 203.4375, 205.3125, 207.1875, 209.0625,\n",
       "       210.9375, 212.8125, 214.6875, 216.5625, 218.4375, 220.3125, 222.1875,\n",
       "       224.0625, 225.9375, 227.8125, 229.6875, 231.5625, 233.4375, 235.3125,\n",
       "       237.1875, 239.0625, 240.9375, 242.8125, 244.6875, 246.5625, 248.4375,\n",
       "       250.3125, 252.1875, 254.0625, 255.9375, 257.8125, 259.6875, 261.5625,\n",
       "       263.4375, 265.3125, 267.1875, 269.0625, 270.9375, 272.8125, 274.6875,\n",
       "       276.5625, 278.4375, 280.3125, 282.1875, 284.0625, 285.9375, 287.8125,\n",
       "       289.6875, 291.5625, 293.4375, 295.3125, 297.1875, 299.0625, 300.9375,\n",
       "       302.8125, 304.6875, 306.5625, 308.4375, 310.3125, 312.1875, 314.0625,\n",
       "       315.9375, 317.8125, 319.6875, 321.5625, 323.4375, 325.3125, 327.1875,\n",
       "       329.0625, 330.9375, 332.8125, 334.6875, 336.5625, 338.4375, 340.3125,\n",
       "       342.1875, 344.0625, 345.9375, 347.8125, 349.6875, 351.5625, 353.4375,\n",
       "       355.3125, 357.1875, 359.0625])</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'>-89.38 -88.12 ... 88.12 89.38</div><input id='attrs-de15c30a-f379-4b1a-ba37-ba5a03fdf82f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de15c30a-f379-4b1a-ba37-ba5a03fdf82f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82ac44d8-39c6-4404-807c-6f0e3600305e' class='xr-var-data-in' type='checkbox'><label for='data-82ac44d8-39c6-4404-807c-6f0e3600305e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><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([-89.375, -88.125, -86.875, -85.625, -84.375, -83.125, -81.875, -80.625,\n",
       "       -79.375, -78.125, -76.875, -75.625, -74.375, -73.125, -71.875, -70.625,\n",
       "       -69.375, -68.125, -66.875, -65.625, -64.375, -63.125, -61.875, -60.625,\n",
       "       -59.375, -58.125, -56.875, -55.625, -54.375, -53.125, -51.875, -50.625,\n",
       "       -49.375, -48.125, -46.875, -45.625, -44.375, -43.125, -41.875, -40.625,\n",
       "       -39.375, -38.125, -36.875, -35.625, -34.375, -33.125, -31.875, -30.625,\n",
       "       -29.375, -28.125, -26.875, -25.625, -24.375, -23.125, -21.875, -20.625,\n",
       "       -19.375, -18.125, -16.875, -15.625, -14.375, -13.125, -11.875, -10.625,\n",
       "        -9.375,  -8.125,  -6.875,  -5.625,  -4.375,  -3.125,  -1.875,  -0.625,\n",
       "         0.625,   1.875,   3.125,   4.375,   5.625,   6.875,   8.125,   9.375,\n",
       "        10.625,  11.875,  13.125,  14.375,  15.625,  16.875,  18.125,  19.375,\n",
       "        20.625,  21.875,  23.125,  24.375,  25.625,  26.875,  28.125,  29.375,\n",
       "        30.625,  31.875,  33.125,  34.375,  35.625,  36.875,  38.125,  39.375,\n",
       "        40.625,  41.875,  43.125,  44.375,  45.625,  46.875,  48.125,  49.375,\n",
       "        50.625,  51.875,  53.125,  54.375,  55.625,  56.875,  58.125,  59.375,\n",
       "        60.625,  61.875,  63.125,  64.375,  65.625,  66.875,  68.125,  69.375,\n",
       "        70.625,  71.875,  73.125,  74.375,  75.625,  76.875,  78.125,  79.375,\n",
       "        80.625,  81.875,  83.125,  84.375,  85.625,  86.875,  88.125,  89.375])</pre></div></li><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'>9.969e+36</div><input id='attrs-cf70f8df-3d30-49be-98b0-245c9ecee973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf70f8df-3d30-49be-98b0-245c9ecee973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efff97c0-4a05-4306-834e-86328a43a2eb' class='xr-var-data-in' type='checkbox'><label for='data-efff97c0-4a05-4306-834e-86328a43a2eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(9.96920997e+36)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16 ... 2014-12-16</div><input id='attrs-27f47863-0cc0-4f8d-9f14-a378ccd60d27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27f47863-0cc0-4f8d-9f14-a378ccd60d27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a38683f-7d17-4695-a4cd-902ba16d5884' class='xr-var-data-in' type='checkbox'><label for='data-6a38683f-7d17-4695-a4cd-902ba16d5884' 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>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T00:00:00.000000000&#x27;, &#x27;1850-02-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T00:00:00.000000000&#x27;, ..., &#x27;2014-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-11-15T12:00:00.000000000&#x27;, &#x27;2014-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9a080ac-964a-4d24-93e9-3c4c3c4446af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9a080ac-964a-4d24-93e9-3c4c3c4446af' class='xr-section-summary' >Data variables: <span>(10)</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>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'>dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;</div><input id='attrs-ce394049-7168-462b-bcea-e95baaf187c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce394049-7168-462b-bcea-e95baaf187c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8695f0c3-3df8-4865-9957-8345fea6ffb7' class='xr-var-data-in' type='checkbox'><label for='data-8695f0c3-3df8-4865-9957-8345fea6ffb7' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.00 kiB </td>\n",
       "                        <td> 3.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (192, 2) </td>\n",
       "                        <td> (192, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <!-- Text -->\n",
       "  <text x=\"12.804567\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"45.609134\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.609134,60.000000)\">192</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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'>dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;</div><input id='attrs-a21f7c72-622c-4211-a106-dc33fef6bb65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21f7c72-622c-4211-a106-dc33fef6bb65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ce3fac3-2a1a-4ffe-a934-4198ce81b991' class='xr-var-data-in' type='checkbox'><label for='data-5ce3fac3-2a1a-4ffe-a934-4198ce81b991' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                        <td> 2.25 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (144, 2) </td>\n",
       "                        <td> (144, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"77\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "  <text x=\"47.054036\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,47.054036,60.000000)\">144</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;</div><input id='attrs-e973b638-3122-4712-bc27-8989e033dd2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e973b638-3122-4712-bc27-8989e033dd2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8a6eea7-62d9-4166-b838-473ff69296f3' class='xr-var-data-in' type='checkbox'><label for='data-f8a6eea7-62d9-4166-b838-473ff69296f3' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 30.94 kiB </td>\n",
       "                        <td> 30.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1980, 2) </td>\n",
       "                        <td> (1980, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 30 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> datetime64[ns] </td>\n",
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       "                        <td> (1980, 144, 192) </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-47480102-bb85-4afd-aca5-b09813625aff' class='xr-section-summary-in' type='checkbox'  ><label for='section-47480102-bb85-4afd-aca5-b09813625aff' class='xr-section-summary' >Attributes: <span>(58)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>variable_id :</span></dt><dd>tasmax</dd><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>input_frequency :</span></dt><dd>day</dd><dt><span>ETCCDI_software_version :</span></dt><dd>1.1.9.1</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>parent_source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>ETCCDI_institution_id :</span></dt><dd>CICERO</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>sub_experiment_id :</span></dt><dd>none</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by CSIRO 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).  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>title :</span></dt><dd>ETCCDI indices computed on ACCESS-CM2 output prepared for CMIP6</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>grid :</span></dt><dd>native atmosphere N96 grid (144x192 latxlon)</dd><dt><span>input_title :</span></dt><dd>ACCESS-CM2 output prepared for CMIP6</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>creation_date :</span></dt><dd>2020-01-31T14:29:22Z</dd><dt><span>sub_experiment :</span></dt><dd>none</dd><dt><span>external_variables :</span></dt><dd>areacella</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.8.0 (http://mpimet.mpg.de/cdo)</dd><dt><span>parent_time_units :</span></dt><dd>days since 0950-01-01</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>institution_id :</span></dt><dd>CSIRO-ARCCSS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>run_variant :</span></dt><dd>forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>experiment :</span></dt><dd>all-forcing simulation of the recent past</dd><dt><span>notes :</span></dt><dd>Exp: CM2-historical; Local ID: bj594; Variable: tasmax ([&#x27;fld_s03i236_max&#x27;])</dd><dt><span>input_creation_date :</span></dt><dd>2019-11-09T02:07:38Z</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>source :</span></dt><dd>ACCESS-CM2 (2019): \n",
       "aerosol: UKCA-GLOMAP-mode\n",
       "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n",
       "atmosChem: none\n",
       "land: CABLE2.5\n",
       "landIce: none\n",
       "ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\n",
       "ocnBgchem: none\n",
       "seaIce: CICE5.1.2 (same grid as ocean)</dd><dt><span>table_id :</span></dt><dd>day</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>branch_time_in_parent :</span></dt><dd>0.0</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>version :</span></dt><dd>v20191108</dd><dt><span>table_info :</span></dt><dd>Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.historical.none.r1i1p1f1</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>ETCCDI_software :</span></dt><dd>climdex.pcic</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</dd><dt><span>source_type :</span></dt><dd>AOGCM</dd><dt><span>intake_esm_varname :</span></dt><dd>txx\n",
       "tnx\n",
       "rx1day\n",
       "tnn\n",
       "dtr\n",
       "txn\n",
       "rx5day</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>history :</span></dt><dd>Fri Jan 31 11:18:16 2020: cdo mergetime tasmax_day_ACCESS-CM2_historical_r1i1p1f1_18500101-18991231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_19000101-19491231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_19500101-19991231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_20000101-20141231.nc ./merged/tasmax_day_ACCESS-CM2_historical_r1i1p1f1_18500101-20141231.nc\n",
       "2019-11-09T02:07:38Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>input_tracking_id :</span></dt><dd>hdl:21.14100/9273db06-8b75-4cd5-a2de-7d8dd6601bf7</dd><dt><span>ETCCDI_institution :</span></dt><dd>Center for International Climate and Environmental Research - Oslo, Norway</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.8.0 (http://mpimet.mpg.de/cdi)</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (lon: 192, bnds: 2, lat: 144, time: 1980)\n",
       "Coordinates:\n",
       "  * lon           (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
       "  * lat           (lat) float64 -89.38 -88.12 -86.88 ... 86.88 88.12 89.38\n",
       "    height        float64 9.969e+36\n",
       "  * time          (time) datetime64[ns] 1850-01-16 ... 2014-12-16\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float64 dask.array<chunksize=(192, 2), meta=np.ndarray>\n",
       "    lat_bnds      (lat, bnds) float64 dask.array<chunksize=(144, 2), meta=np.ndarray>\n",
       "    time_bnds     (time, bnds) datetime64[ns] dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "    txxETCCDI     (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    tnxETCCDI     (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    rx1dayETCCDI  (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    tnnETCCDI     (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    dtrETCCDI     (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    txnETCCDI     (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "    rx5dayETCCDI  (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "Attributes: (12/58)\n",
       "    variable_id:              tasmax\n",
       "    institution:              CSIRO (Commonwealth Scientific and Industrial R...\n",
       "    parent_mip_era:           CMIP6\n",
       "    input_frequency:          day\n",
       "    ETCCDI_software_version:  1.1.9.1\n",
       "    cmor_version:             3.4.0\n",
       "    ...                       ...\n",
       "    input_tracking_id:        hdl:21.14100/9273db06-8b75-4cd5-a2de-7d8dd6601bf7\n",
       "    ETCCDI_institution:       Center for International Climate and Environmen...\n",
       "    parent_experiment_id:     piControl\n",
       "    CDI:                      Climate Data Interface version 1.8.0 (http://mp...\n",
       "    variant_label:            r1i1p1f1\n",
       "    intake_esm_dataset_key:   etccdi.base_independent.mon.historical.ACCESS-C..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = dset_dict['etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1']\n",
    "ds"
   ]
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  {
   "cell_type": "markdown",
   "id": "60cbbe61-9400-4f24-a237-241d9f4c6059",
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    "Please note that the aggregation define for this dataset has been automatically applied, so the 7 variables files have been united in one xarray Dataset.<br>\n",
    "If you want to access the files without aggregation you set the optional argiment `aggregate` to False.<br>"
   ]
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   "id": "407b9bab-f893-4f83-995a-a715fe6ce1ec",
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    {
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     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'path.index_type.base.frequency.experiment.model.ensemble.variable.date_range'\n"
     ]
    },
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       "dict_keys(['/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/rx5dayETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.rx5day.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/txxETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.txx.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/rx1dayETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.rx1day.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/txnETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.txn.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/tnxETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.tnx.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/tnnETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.tnn.185001-201412', '/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/dtrETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.dtr.185001-201412'])"
      ]
     },
     "execution_count": 10,
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   ],
   "source": [
    "dset_dict2 = subset.to_dataset_dict(aggregate=False)\n",
    "dset_dict2.keys()"
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   "id": "cf905c8f-ee68-41e3-9288-2a7195d8d9c7",
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    "This time we can a key per file, and the key is the file path.<br>\n",
    "We can then load one of the file as we've done before using its key/path."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d786875a-be21-4505-a48e-525d83bb79c9",
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       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (lon: 192, bnds: 2, lat: 144, time: 1980)\n",
       "Coordinates:\n",
       "  * lon           (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
       "  * lat           (lat) float64 -89.38 -88.12 -86.88 ... 86.88 88.12 89.38\n",
       "    height        float64 ...\n",
       "  * time          (time) datetime64[ns] 1850-01-16 ... 2014-12-16\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float64 dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;\n",
       "    lat_bnds      (lat, bnds) float64 dask.array&lt;chunksize=(144, 2), meta=np.ndarray&gt;\n",
       "    time_bnds     (time, bnds) datetime64[ns] dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;\n",
       "    rx5dayETCCDI  (time, lat, lon) float32 dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;\n",
       "Attributes: (12/58)\n",
       "    CDI:                      Climate Data Interface version 1.8.0 (http://mp...\n",
       "    history:                  Fri Jan 31 11:18:16 2020: cdo mergetime tasmax_...\n",
       "    source:                   ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\...\n",
       "    institution:              CSIRO (Commonwealth Scientific and Industrial R...\n",
       "    Conventions:              CF-1.7 CMIP-6.2\n",
       "    activity_id:              CMIP\n",
       "    ...                       ...\n",
       "    ETCCDI_software_version:  1.1.9.1\n",
       "    frequency:                mon\n",
       "    creation_date:            2020-01-31T14:29:22Z\n",
       "    title:                    ETCCDI indices computed on ACCESS-CM2 output pr...\n",
       "    intake_esm_varname:       None\n",
       "    intake_esm_dataset_key:   /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9bcd0542-af9f-4339-b38d-24a7a5eaa952' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9bcd0542-af9f-4339-b38d-24a7a5eaa952' 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'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 144</li><li><span class='xr-has-index'>time</span>: 1980</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4c65d439-6ae3-41a5-be55-f5adf8095ff4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c65d439-6ae3-41a5-be55-f5adf8095ff4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9375 2.812 4.688 ... 357.2 359.1</div><input id='attrs-45713c26-d0d2-4572-bd74-73aef90b569b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45713c26-d0d2-4572-bd74-73aef90b569b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5013168d-3932-47c5-8e5d-c06760e961dd' class='xr-var-data-in' type='checkbox'><label for='data-5013168d-3932-47c5-8e5d-c06760e961dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><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([  0.9375,   2.8125,   4.6875,   6.5625,   8.4375,  10.3125,  12.1875,\n",
       "        14.0625,  15.9375,  17.8125,  19.6875,  21.5625,  23.4375,  25.3125,\n",
       "        27.1875,  29.0625,  30.9375,  32.8125,  34.6875,  36.5625,  38.4375,\n",
       "        40.3125,  42.1875,  44.0625,  45.9375,  47.8125,  49.6875,  51.5625,\n",
       "        53.4375,  55.3125,  57.1875,  59.0625,  60.9375,  62.8125,  64.6875,\n",
       "        66.5625,  68.4375,  70.3125,  72.1875,  74.0625,  75.9375,  77.8125,\n",
       "        79.6875,  81.5625,  83.4375,  85.3125,  87.1875,  89.0625,  90.9375,\n",
       "        92.8125,  94.6875,  96.5625,  98.4375, 100.3125, 102.1875, 104.0625,\n",
       "       105.9375, 107.8125, 109.6875, 111.5625, 113.4375, 115.3125, 117.1875,\n",
       "       119.0625, 120.9375, 122.8125, 124.6875, 126.5625, 128.4375, 130.3125,\n",
       "       132.1875, 134.0625, 135.9375, 137.8125, 139.6875, 141.5625, 143.4375,\n",
       "       145.3125, 147.1875, 149.0625, 150.9375, 152.8125, 154.6875, 156.5625,\n",
       "       158.4375, 160.3125, 162.1875, 164.0625, 165.9375, 167.8125, 169.6875,\n",
       "       171.5625, 173.4375, 175.3125, 177.1875, 179.0625, 180.9375, 182.8125,\n",
       "       184.6875, 186.5625, 188.4375, 190.3125, 192.1875, 194.0625, 195.9375,\n",
       "       197.8125, 199.6875, 201.5625, 203.4375, 205.3125, 207.1875, 209.0625,\n",
       "       210.9375, 212.8125, 214.6875, 216.5625, 218.4375, 220.3125, 222.1875,\n",
       "       224.0625, 225.9375, 227.8125, 229.6875, 231.5625, 233.4375, 235.3125,\n",
       "       237.1875, 239.0625, 240.9375, 242.8125, 244.6875, 246.5625, 248.4375,\n",
       "       250.3125, 252.1875, 254.0625, 255.9375, 257.8125, 259.6875, 261.5625,\n",
       "       263.4375, 265.3125, 267.1875, 269.0625, 270.9375, 272.8125, 274.6875,\n",
       "       276.5625, 278.4375, 280.3125, 282.1875, 284.0625, 285.9375, 287.8125,\n",
       "       289.6875, 291.5625, 293.4375, 295.3125, 297.1875, 299.0625, 300.9375,\n",
       "       302.8125, 304.6875, 306.5625, 308.4375, 310.3125, 312.1875, 314.0625,\n",
       "       315.9375, 317.8125, 319.6875, 321.5625, 323.4375, 325.3125, 327.1875,\n",
       "       329.0625, 330.9375, 332.8125, 334.6875, 336.5625, 338.4375, 340.3125,\n",
       "       342.1875, 344.0625, 345.9375, 347.8125, 349.6875, 351.5625, 353.4375,\n",
       "       355.3125, 357.1875, 359.0625])</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'>-89.38 -88.12 ... 88.12 89.38</div><input id='attrs-095b78f2-ee9c-4e00-b7d9-34af4fa997a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-095b78f2-ee9c-4e00-b7d9-34af4fa997a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd9c5bc0-aac9-43b2-bbb8-30b9b66af75b' class='xr-var-data-in' type='checkbox'><label for='data-fd9c5bc0-aac9-43b2-bbb8-30b9b66af75b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><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([-89.375, -88.125, -86.875, -85.625, -84.375, -83.125, -81.875, -80.625,\n",
       "       -79.375, -78.125, -76.875, -75.625, -74.375, -73.125, -71.875, -70.625,\n",
       "       -69.375, -68.125, -66.875, -65.625, -64.375, -63.125, -61.875, -60.625,\n",
       "       -59.375, -58.125, -56.875, -55.625, -54.375, -53.125, -51.875, -50.625,\n",
       "       -49.375, -48.125, -46.875, -45.625, -44.375, -43.125, -41.875, -40.625,\n",
       "       -39.375, -38.125, -36.875, -35.625, -34.375, -33.125, -31.875, -30.625,\n",
       "       -29.375, -28.125, -26.875, -25.625, -24.375, -23.125, -21.875, -20.625,\n",
       "       -19.375, -18.125, -16.875, -15.625, -14.375, -13.125, -11.875, -10.625,\n",
       "        -9.375,  -8.125,  -6.875,  -5.625,  -4.375,  -3.125,  -1.875,  -0.625,\n",
       "         0.625,   1.875,   3.125,   4.375,   5.625,   6.875,   8.125,   9.375,\n",
       "        10.625,  11.875,  13.125,  14.375,  15.625,  16.875,  18.125,  19.375,\n",
       "        20.625,  21.875,  23.125,  24.375,  25.625,  26.875,  28.125,  29.375,\n",
       "        30.625,  31.875,  33.125,  34.375,  35.625,  36.875,  38.125,  39.375,\n",
       "        40.625,  41.875,  43.125,  44.375,  45.625,  46.875,  48.125,  49.375,\n",
       "        50.625,  51.875,  53.125,  54.375,  55.625,  56.875,  58.125,  59.375,\n",
       "        60.625,  61.875,  63.125,  64.375,  65.625,  66.875,  68.125,  69.375,\n",
       "        70.625,  71.875,  73.125,  74.375,  75.625,  76.875,  78.125,  79.375,\n",
       "        80.625,  81.875,  83.125,  84.375,  85.625,  86.875,  88.125,  89.375])</pre></div></li><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-ef336f5c-7af7-458b-bf2e-5a41ae459b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef336f5c-7af7-458b-bf2e-5a41ae459b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76f5a645-731e-46e6-837e-6bec862232b8' class='xr-var-data-in' type='checkbox'><label for='data-76f5a645-731e-46e6-837e-6bec862232b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(9.96921e+36)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16 ... 2014-12-16</div><input id='attrs-01e1085f-e5b6-46f9-9243-625f255285d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01e1085f-e5b6-46f9-9243-625f255285d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785edcc4-39c7-42fc-9383-f5de6ed927f6' class='xr-var-data-in' type='checkbox'><label for='data-785edcc4-39c7-42fc-9383-f5de6ed927f6' 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>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T00:00:00.000000000&#x27;, &#x27;1850-02-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T00:00:00.000000000&#x27;, ..., &#x27;2014-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-11-15T12:00:00.000000000&#x27;, &#x27;2014-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8d6146f-b800-4ffb-ba09-4393110d31ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8d6146f-b800-4ffb-ba09-4393110d31ed' 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>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'>dask.array&lt;chunksize=(192, 2), meta=np.ndarray&gt;</div><input id='attrs-74003e7d-f02a-48fa-851a-9096ba8789cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74003e7d-f02a-48fa-851a-9096ba8789cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff0feabe-0a37-4690-b047-fc9d3b793e34' class='xr-var-data-in' type='checkbox'><label for='data-ff0feabe-0a37-4690-b047-fc9d3b793e34' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <th> Type </th>\n",
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       "                        <td> 2.25 kiB </td>\n",
       "                        <td> 2.25 kiB </td>\n",
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       "                        <td> (144, 2) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 2 Tasks </td>\n",
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       "</table></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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1980, 2), meta=np.ndarray&gt;</div><input id='attrs-a0456dad-d003-4da7-b9fb-17c3257b9308' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0456dad-d003-4da7-b9fb-17c3257b9308' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d631d599-fbaf-4eb3-8578-afdfe28b573f' class='xr-var-data-in' type='checkbox'><label for='data-d631d599-fbaf-4eb3-8578-afdfe28b573f' 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'><table>\n",
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       "                        <td> 30.94 kiB </td>\n",
       "                        <td> 30.94 kiB </td>\n",
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       "                        <td> (1980, 2) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rx5dayETCCDI</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'>dask.array&lt;chunksize=(1980, 144, 192), meta=np.ndarray&gt;</div><input id='attrs-d147ef99-2165-4bbf-9daa-5267fa33dc34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d147ef99-2165-4bbf-9daa-5267fa33dc34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfe4202f-d526-4b9a-bbb1-2645a5beea4f' class='xr-var-data-in' type='checkbox'><label for='data-cfe4202f-d526-4b9a-bbb1-2645a5beea4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Monthly Maximum Consecutive 5-day Precipitation</dd><dt><span>comment :</span></dt><dd>maximum near-surface (usually, 2 meter) air temperature (add cell_method attribute &#x27;time: max&#x27;)</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: maximum</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>Created by climdex.pcic 1.1.9.1 on Fri Jan 31 15:29:22 2020</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 208.83 MiB </td>\n",
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       "                        <td> (1980, 144, 192) </td>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-bad8560f-7b5d-4f0f-8299-b6acf7e7a1fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-bad8560f-7b5d-4f0f-8299-b6acf7e7a1fc' class='xr-section-summary' >Attributes: <span>(58)</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 1.8.0 (http://mpimet.mpg.de/cdi)</dd><dt><span>history :</span></dt><dd>Fri Jan 31 11:18:16 2020: cdo mergetime tasmax_day_ACCESS-CM2_historical_r1i1p1f1_18500101-18991231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_19000101-19491231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_19500101-19991231.nc tasmax_day_ACCESS-CM2_historical_r1i1p1f1_20000101-20141231.nc ./merged/tasmax_day_ACCESS-CM2_historical_r1i1p1f1_18500101-20141231.nc\n",
       "2019-11-09T02:07:38Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.</dd><dt><span>source :</span></dt><dd>ACCESS-CM2 (2019): \n",
       "aerosol: UKCA-GLOMAP-mode\n",
       "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n",
       "atmosChem: none\n",
       "land: CABLE2.5\n",
       "landIce: none\n",
       "ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\n",
       "ocnBgchem: none\n",
       "seaIce: CICE5.1.2 (same grid as ocean)</dd><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.2</dd><dt><span>activity_id :</span></dt><dd>CMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>0.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>0.0</dd><dt><span>input_creation_date :</span></dt><dd>2019-11-09T02:07:38Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.30</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>input_frequency :</span></dt><dd>day</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.historical.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>native atmosphere N96 grid (144x192 latxlon)</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>CSIRO-ARCCSS</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>250 km</dd><dt><span>notes :</span></dt><dd>Exp: CM2-historical; Local ID: bj594; Variable: tasmax ([&#x27;fld_s03i236_max&#x27;])</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>ACCESS-CM2</dd><dt><span>parent_time_units :</span></dt><dd>days since 0950-01-01</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>run_variant :</span></dt><dd>forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>source_id :</span></dt><dd>ACCESS-CM2</dd><dt><span>source_type :</span></dt><dd>AOGCM</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:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371</dd><dt><span>input_title :</span></dt><dd>ACCESS-CM2 output prepared for CMIP6</dd><dt><span>variable_id :</span></dt><dd>tasmax</dd><dt><span>variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>version :</span></dt><dd>v20191108</dd><dt><span>cmor_version :</span></dt><dd>3.4.0</dd><dt><span>input_tracking_id :</span></dt><dd>hdl:21.14100/9273db06-8b75-4cd5-a2de-7d8dd6601bf7</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by CSIRO 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).  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>CDO :</span></dt><dd>Climate Data Operators version 1.8.0 (http://mpimet.mpg.de/cdo)</dd><dt><span>ETCCDI_institution :</span></dt><dd>Center for International Climate and Environmental Research - Oslo, Norway</dd><dt><span>ETCCDI_institution_id :</span></dt><dd>CICERO</dd><dt><span>ETCCDI_software :</span></dt><dd>climdex.pcic</dd><dt><span>ETCCDI_software_version :</span></dt><dd>1.1.9.1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2020-01-31T14:29:22Z</dd><dt><span>title :</span></dt><dd>ETCCDI indices computed on ACCESS-CM2 output prepared for CMIP6</dd><dt><span>intake_esm_varname :</span></dt><dd>None</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/rx5dayETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.rx5day.185001-201412</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (lon: 192, bnds: 2, lat: 144, time: 1980)\n",
       "Coordinates:\n",
       "  * lon           (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
       "  * lat           (lat) float64 -89.38 -88.12 -86.88 ... 86.88 88.12 89.38\n",
       "    height        float64 ...\n",
       "  * time          (time) datetime64[ns] 1850-01-16 ... 2014-12-16\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float64 dask.array<chunksize=(192, 2), meta=np.ndarray>\n",
       "    lat_bnds      (lat, bnds) float64 dask.array<chunksize=(144, 2), meta=np.ndarray>\n",
       "    time_bnds     (time, bnds) datetime64[ns] dask.array<chunksize=(1980, 2), meta=np.ndarray>\n",
       "    rx5dayETCCDI  (time, lat, lon) float32 dask.array<chunksize=(1980, 144, 192), meta=np.ndarray>\n",
       "Attributes: (12/58)\n",
       "    CDI:                      Climate Data Interface version 1.8.0 (http://mp...\n",
       "    history:                  Fri Jan 31 11:18:16 2020: cdo mergetime tasmax_...\n",
       "    source:                   ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\...\n",
       "    institution:              CSIRO (Commonwealth Scientific and Industrial R...\n",
       "    Conventions:              CF-1.7 CMIP-6.2\n",
       "    activity_id:              CMIP\n",
       "    ...                       ...\n",
       "    ETCCDI_software_version:  1.1.9.1\n",
       "    frequency:                mon\n",
       "    creation_date:            2020-01-31T14:29:22Z\n",
       "    title:                    ETCCDI indices computed on ACCESS-CM2 output pr...\n",
       "    intake_esm_varname:       None\n",
       "    intake_esm_dataset_key:   /g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finally we can simply load a dataset using its key\n",
    "ds = dset_dict2['/g/data/ia39/aus-ref-clim-data-nci/cmip6-etccdi/data/v1-0/etccdi/base_independent/mon/historical/ACCESS-CM2/rx5dayETCCDI_mon_ACCESS-CM2_historical_r1i1p1f1_no-base_v20191108_185001-201412_v1-0.nc.etccdi.base_independent.mon.historical.ACCESS-CM2.r1i1p1f1.rx5day.185001-201412']\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b2f3caa-e4dc-48d7-af9e-641d4c441405",
   "metadata": {},
   "source": [
    "## Other datasets "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03bed8ef-5188-4a23-a0d3-7d3c108845cc",
   "metadata": {},
   "source": [
    "### GPCP aggregation along time dimension"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "937da835-caea-49e6-bcdb-0bc22ee073a4",
   "metadata": {},
   "source": [
    "With the `cmip6_etccdi` dataset we used an aggregation of type `union`. We can also aggregate files along the time dimension. We will use the `gpcp` dataset to demonstrate.<br>\n",
    "The `gpcp` daily data is organised as *frequency/version/year/files*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "99a402ce-5746-48f2-a18f-17c1a460c1b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['path', 'frequency', 'version', 'year', 'date', 'variable'])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpcp = cat['gpcp']\n",
    "gpcp.unique().keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cae48bb0-e627-44f5-9e91-c861a08a2cfa",
   "metadata": {},
   "source": [
    "Let's get all the daily files for the year 1999."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dcbe8953-f856-44e6-bddf-34a315e9420e",
   "metadata": {},
   "outputs": [],
   "source": [
    "subset = gpcp.search(frequency='day', year='1999')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baad3e1b-e97d-44c7-8c30-867b5f1d9beb",
   "metadata": {},
   "source": [
    "This subset contains 365 files and we want to load them as one aggregated dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1ef2373e-9fe7-468b-ba57-860a172627fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'version.frequency'\n"
     ]
    },
    {
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    "ds_dict = subset.to_dataset_dict()\n",
    "ds_dict.keys()"
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  {
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   "id": "3d4944f7-15e8-43b1-b198-5d9bb17b5e4c",
   "metadata": {},
   "source": [
    "As we can see from the keys all files are united in one aggregation, that we can load as a xarray Dataset."
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   "cell_type": "code",
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       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (latitude: 180, longitude: 360, time: 365, nv: 2)\n",
       "Coordinates:\n",
       "  * latitude     (latitude) float32 -90.0 -89.0 -88.0 -87.0 ... 87.0 88.0 89.0\n",
       "  * longitude    (longitude) float32 0.0 1.0 2.0 3.0 ... 356.0 357.0 358.0 359.0\n",
       "  * time         (time) datetime64[ns] 1999-01-01 1999-01-02 ... 1999-12-31\n",
       "Dimensions without coordinates: nv\n",
       "Data variables:\n",
       "    lat_bounds   (latitude, nv) float32 -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
       "    lon_bounds   (longitude, nv) float32 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
       "    time_bounds  (time, nv) datetime64[ns] dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    precip       (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 180, 360), meta=np.ndarray&gt;\n",
       "Attributes: (12/47)\n",
       "    standard_name_vocabulary:   CF Standard Name Table (v41, 22 February 2017)\n",
       "    institution:                ACADEMIC &gt; UMD/ESSIC &gt; Earth System Science I...\n",
       "    Metadata_Conventions:       CF-1.6, Unidata Dataset Discovery v1.0, NOAA ...\n",
       "    geospatial_lat_resolution:  1 degree\n",
       "    comment:                    Processing computer: eagle2.umd.edu\n",
       "    summary:                    Global Precipitation Climatology Project (GPC...\n",
       "    ...                         ...\n",
       "    intake_esm_varname:         [&#x27;precip&#x27;]\n",
       "    history:                    1) 2017-05-30T16:56:13Z, Dr. Jian-Jian Wang, ...\n",
       "    spatial_resolution:         1 degree\n",
       "    keywords_vocabulary:        NASA Global Change Master Directory (GCMD) Ea...\n",
       "    acknowledgment:             This project was supported in part by a grant...\n",
       "    intake_esm_dataset_key:     v1-3.day</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-29237780-bd10-4447-9783-989679111411' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29237780-bd10-4447-9783-989679111411' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li><li><span class='xr-has-index'>time</span>: 365</li><li><span>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4abf8f56-265c-4a81-bf46-1ea6a5ee3394' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4abf8f56-265c-4a81-bf46-1ea6a5ee3394' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -88.0 ... 88.0 89.0</div><input id='attrs-6a36b463-d527-4352-9b24-3e4fead0afb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a36b463-d527-4352-9b24-3e4fead0afb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efa20b3d-c421-4b20-a20d-8d4fa24f8b99' class='xr-var-data-in' type='checkbox'><label for='data-efa20b3d-c421-4b20-a20d-8d4fa24f8b99' 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>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>[-90.  90.]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bounds</dd></dl></div><div class='xr-var-data'><pre>array([-90., -89., -88., -87., -86., -85., -84., -83., -82., -81., -80., -79.,\n",
       "       -78., -77., -76., -75., -74., -73., -72., -71., -70., -69., -68., -67.,\n",
       "       -66., -65., -64., -63., -62., -61., -60., -59., -58., -57., -56., -55.,\n",
       "       -54., -53., -52., -51., -50., -49., -48., -47., -46., -45., -44., -43.,\n",
       "       -42., -41., -40., -39., -38., -37., -36., -35., -34., -33., -32., -31.,\n",
       "       -30., -29., -28., -27., -26., -25., -24., -23., -22., -21., -20., -19.,\n",
       "       -18., -17., -16., -15., -14., -13., -12., -11., -10.,  -9.,  -8.,  -7.,\n",
       "        -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,   1.,   2.,   3.,   4.,   5.,\n",
       "         6.,   7.,   8.,   9.,  10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,\n",
       "        18.,  19.,  20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.,\n",
       "        30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.,  40.,  41.,\n",
       "        42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.,  50.,  51.,  52.,  53.,\n",
       "        54.,  55.,  56.,  57.,  58.,  59.,  60.,  61.,  62.,  63.,  64.,  65.,\n",
       "        66.,  67.,  68.,  69.,  70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,\n",
       "        78.,  79.,  80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-9cbd8824-f6f7-4ba7-99b9-619137f70865' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cbd8824-f6f7-4ba7-99b9-619137f70865' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f1bd644-9f9f-4b37-923e-c588589985e2' class='xr-var-data-in' type='checkbox'><label for='data-1f1bd644-9f9f-4b37-923e-c588589985e2' 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>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>[  0. 360.]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bounds</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1999-01-01 ... 1999-12-31</div><input id='attrs-906da6a3-ea44-4c08-8dd5-26b391246fb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-906da6a3-ea44-4c08-8dd5-26b391246fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec01ec37-a250-4f81-8312-e4cf13ef868f' class='xr-var-data-in' type='checkbox'><label for='data-ec01ec37-a250-4f81-8312-e4cf13ef868f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;1999-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-03T00:00:00.000000000&#x27;, ..., &#x27;1999-12-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-30T00:00:00.000000000&#x27;, &#x27;1999-12-31T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a4204b0-3764-4a9a-8c8d-8da59ab5efab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a4204b0-3764-4a9a-8c8d-8da59ab5efab' 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_bounds</span></div><div class='xr-var-dims'>(latitude, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.0 -89.0 ... 89.0 90.0</div><input id='attrs-8c78995f-7399-43b5-9ca9-d581b4502890' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c78995f-7399-43b5-9ca9-d581b4502890' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5943c48c-104f-4b01-acd8-7f496b52ba30' class='xr-var-data-in' type='checkbox'><label for='data-5943c48c-104f-4b01-acd8-7f496b52ba30' 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>comment :</span></dt><dd>latitude values at the north and south bounds of each pixel.</dd></dl></div><div class='xr-var-data'><pre>array([[-90., -89.],\n",
       "       [-89., -88.],\n",
       "       [-88., -87.],\n",
       "       [-87., -86.],\n",
       "       [-86., -85.],\n",
       "       [-85., -84.],\n",
       "       [-84., -83.],\n",
       "       [-83., -82.],\n",
       "       [-82., -81.],\n",
       "       [-81., -80.],\n",
       "       [-80., -79.],\n",
       "       [-79., -78.],\n",
       "       [-78., -77.],\n",
       "       [-77., -76.],\n",
       "       [-76., -75.],\n",
       "       [-75., -74.],\n",
       "       [-74., -73.],\n",
       "       [-73., -72.],\n",
       "       [-72., -71.],\n",
       "       [-71., -70.],\n",
       "...\n",
       "       [ 70.,  71.],\n",
       "       [ 71.,  72.],\n",
       "       [ 72.,  73.],\n",
       "       [ 73.,  74.],\n",
       "       [ 74.,  75.],\n",
       "       [ 75.,  76.],\n",
       "       [ 76.,  77.],\n",
       "       [ 77.,  78.],\n",
       "       [ 78.,  79.],\n",
       "       [ 79.,  80.],\n",
       "       [ 80.,  81.],\n",
       "       [ 81.,  82.],\n",
       "       [ 82.,  83.],\n",
       "       [ 83.,  84.],\n",
       "       [ 84.,  85.],\n",
       "       [ 85.,  86.],\n",
       "       [ 86.,  87.],\n",
       "       [ 87.,  88.],\n",
       "       [ 88.,  89.],\n",
       "       [ 89.,  90.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bounds</span></div><div class='xr-var-dims'>(longitude, nv)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 1.0 1.0 ... 359.0 359.0 360.0</div><input id='attrs-23026113-2d8b-4175-ae65-b713dd6f5a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23026113-2d8b-4175-ae65-b713dd6f5a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11b27a35-a689-4c54-928e-a418bd227c13' class='xr-var-data-in' type='checkbox'><label for='data-11b27a35-a689-4c54-928e-a418bd227c13' 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>comment :</span></dt><dd>longitude values at the west and east bounds of each pixel.</dd></dl></div><div class='xr-var-data'><pre>array([[  0.,   1.],\n",
       "       [  1.,   2.],\n",
       "       [  2.,   3.],\n",
       "       [  3.,   4.],\n",
       "       [  4.,   5.],\n",
       "       [  5.,   6.],\n",
       "       [  6.,   7.],\n",
       "       [  7.,   8.],\n",
       "       [  8.,   9.],\n",
       "       [  9.,  10.],\n",
       "       [ 10.,  11.],\n",
       "       [ 11.,  12.],\n",
       "       [ 12.,  13.],\n",
       "       [ 13.,  14.],\n",
       "       [ 14.,  15.],\n",
       "       [ 15.,  16.],\n",
       "       [ 16.,  17.],\n",
       "       [ 17.,  18.],\n",
       "       [ 18.,  19.],\n",
       "       [ 19.,  20.],\n",
       "...\n",
       "       [340., 341.],\n",
       "       [341., 342.],\n",
       "       [342., 343.],\n",
       "       [343., 344.],\n",
       "       [344., 345.],\n",
       "       [345., 346.],\n",
       "       [346., 347.],\n",
       "       [347., 348.],\n",
       "       [348., 349.],\n",
       "       [349., 350.],\n",
       "       [350., 351.],\n",
       "       [351., 352.],\n",
       "       [352., 353.],\n",
       "       [353., 354.],\n",
       "       [354., 355.],\n",
       "       [355., 356.],\n",
       "       [356., 357.],\n",
       "       [357., 358.],\n",
       "       [358., 359.],\n",
       "       [359., 360.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-3d51c118-ccdc-4f9e-973b-6a389bf6aaf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d51c118-ccdc-4f9e-973b-6a389bf6aaf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db869fa6-b37c-4c57-86b6-8b319c706906' class='xr-var-data-in' type='checkbox'><label for='data-db869fa6-b37c-4c57-86b6-8b319c706906' 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>comment :</span></dt><dd>time bounds for each time value</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.70 kiB </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (365, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 1095 Tasks </td>\n",
       "                        <td> 365 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> datetime64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"6\" x2=\"25\" y2=\"6\" />\n",
       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
       "  <line x1=\"0\" y1=\"24\" x2=\"25\" y2=\"24\" />\n",
       "  <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 180, 360), meta=np.ndarray&gt;</div><input id='attrs-db6fc0ed-6c42-49e0-928b-b09479a30503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db6fc0ed-6c42-49e0-928b-b09479a30503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a741118-fb06-41a4-aec4-5502239979e7' class='xr-var-data-in' type='checkbox'><label for='data-5a741118-fb06-41a4-aec4-5502239979e7' 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>NOAA Climate Data Record (CDR) of Daily GPCP Satellite-Gauge Combined Precipitation</dd><dt><span>standard_name :</span></dt><dd>lwe_precipitation_rate</dd><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>valid_range :</span></dt><dd>[  0. 100.]</dd><dt><span>cell_methods :</span></dt><dd>area: mean time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 253.12 kiB </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4f0f803-5d0f-4251-90f2-26ad7de7a3b8' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4f0f803-5d0f-4251-90f2-26ad7de7a3b8' 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>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v41, 22 February 2017)</dd><dt><span>institution :</span></dt><dd>ACADEMIC &gt; UMD/ESSIC &gt; Earth System Science Interdisciplinary Center, University of Maryland</dd><dt><span>Metadata_Conventions :</span></dt><dd>CF-1.6, Unidata Dataset Discovery v1.0, NOAA CDR v1.0, GDS v2.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>1 degree</dd><dt><span>comment :</span></dt><dd>Processing computer: eagle2.umd.edu</dd><dt><span>summary :</span></dt><dd>Global Precipitation Climatology Project (GPCP) Daily Version 1.3 gridded, merged satellite/gauge precipitation Climate data Record (CDR) from 1996 to present.</dd><dt><span>creator_name :</span></dt><dd>Dr. Jian-Jian Wang</dd><dt><span>keywords :</span></dt><dd>EARTH SCIENCE &gt; ATMOSPHERE &gt; PRECIPITATION &gt; PRECIPITATION AMOUNT</dd><dt><span>contributor_name :</span></dt><dd>Robert Adler, Jian-Jian Wang</dd><dt><span>contributor_role :</span></dt><dd>principalInvestigator, processor and custodian</dd><dt><span>license :</span></dt><dd>No constraints on data access or use.</dd><dt><span>title :</span></dt><dd>Global Precipitation Climatatology Project (GPCP) Climate Data Record (CDR), Daily V1.3</dd><dt><span>references :</span></dt><dd>Huffman et al. 1997, http://dx.doi.org/10.1175/1520-0477(1997)078&lt;0005:TGPCPG&gt;2.0.CO;2; Adler et al. 2003, http://dx.doi.org/10.1175/1525-7541(2003)004&lt;1147:TVGPCP&gt;2.0.CO;2; Huffman et al. 2009, http://dx.doi.org/10.1029/2009GL040000; Adler et al. 2017, Global Precipitation Climatology Project (GPCP) Daily Analysis: Climate Algorithm Theoretical Basis Document (C-ATBD)</dd><dt><span>cdr_variable :</span></dt><dd>precipitation</dd><dt><span>cdr_program :</span></dt><dd>NOAA Climate Data Record Program for satellites, FY 2011.</dd><dt><span>project :</span></dt><dd>GPCP &gt; Global Precipitation Climatology Project</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0</dd><dt><span>metadata_link :</span></dt><dd>gov.noaa.ncdc:XXXXX</dd><dt><span>naming_authority :</span></dt><dd>gov.noaa.ncdc</dd><dt><span>geospatial_lon_max :</span></dt><dd>360.0</dd><dt><span>creator_email :</span></dt><dd>jjwang@umd.edu</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD 1.3</dd><dt><span>platform :</span></dt><dd>GOES (Geostationary Operational Environmental Satellite), GMS (Japan Geostationary Meteorological Satellite), METEOSAT, TIROS &gt; Television Infrared Observation Satellite, DMSP (Defense Meteorological Satellite Program)</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>sensor :</span></dt><dd>Imager, TOVS &gt; TIROS Operational Vertical Sounder, SSMI &gt; Special Sensor Microwave/Imager</dd><dt><span>publisher_name :</span></dt><dd>NOAA National Centers for Environmental Information (NCEI)</dd><dt><span>product_version :</span></dt><dd>v01r03</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>1 degree</dd><dt><span>publisher_url :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>date_created :</span></dt><dd>2017-05-30T16:55:08Z</dd><dt><span>time_coverage_end :</span></dt><dd>1999-12-31T23:59:59Z</dd><dt><span>time_coverage_start :</span></dt><dd>1999-12-31T00:00:00Z</dd><dt><span>source :</span></dt><dd>/data1/GPCP_CDR/GPCP_Output/1DD//bin/199912/stfsg3.19991231.s</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>processing_level :</span></dt><dd>NASA Level 3</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>id :</span></dt><dd>199912/gpcp_v01r03_daily_d19991231_c20170530.nc</dd><dt><span>publisher_email :</span></dt><dd>jjwang@umd.edu</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>intake_esm_varname :</span></dt><dd>[&#x27;precip&#x27;]</dd><dt><span>history :</span></dt><dd>1) 2017-05-30T16:56:13Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:07Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:56:02Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:56Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:50Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:44Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:38Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:32Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:26Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:20Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:14Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file\n",
       "1) 2017-05-30T16:55:08Z, Dr. Jian-Jian Wang, U of Maryland, Created beta (B1) file</dd><dt><span>spatial_resolution :</span></dt><dd>1 degree</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0</dd><dt><span>acknowledgment :</span></dt><dd>This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites.</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>v1-3.day</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (latitude: 180, longitude: 360, time: 365, nv: 2)\n",
       "Coordinates:\n",
       "  * latitude     (latitude) float32 -90.0 -89.0 -88.0 -87.0 ... 87.0 88.0 89.0\n",
       "  * longitude    (longitude) float32 0.0 1.0 2.0 3.0 ... 356.0 357.0 358.0 359.0\n",
       "  * time         (time) datetime64[ns] 1999-01-01 1999-01-02 ... 1999-12-31\n",
       "Dimensions without coordinates: nv\n",
       "Data variables:\n",
       "    lat_bounds   (latitude, nv) float32 -90.0 -89.0 -89.0 ... 89.0 89.0 90.0\n",
       "    lon_bounds   (longitude, nv) float32 0.0 1.0 1.0 2.0 ... 359.0 359.0 360.0\n",
       "    time_bounds  (time, nv) datetime64[ns] dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    precip       (time, latitude, longitude) float32 dask.array<chunksize=(1, 180, 360), meta=np.ndarray>\n",
       "Attributes: (12/47)\n",
       "    standard_name_vocabulary:   CF Standard Name Table (v41, 22 February 2017)\n",
       "    institution:                ACADEMIC > UMD/ESSIC > Earth System Science I...\n",
       "    Metadata_Conventions:       CF-1.6, Unidata Dataset Discovery v1.0, NOAA ...\n",
       "    geospatial_lat_resolution:  1 degree\n",
       "    comment:                    Processing computer: eagle2.umd.edu\n",
       "    summary:                    Global Precipitation Climatology Project (GPC...\n",
       "    ...                         ...\n",
       "    intake_esm_varname:         ['precip']\n",
       "    history:                    1) 2017-05-30T16:56:13Z, Dr. Jian-Jian Wang, ...\n",
       "    spatial_resolution:         1 degree\n",
       "    keywords_vocabulary:        NASA Global Change Master Directory (GCMD) Ea...\n",
       "    acknowledgment:             This project was supported in part by a grant...\n",
       "    intake_esm_dataset_key:     v1-3.day"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpcc_ds = ds_dict['v1-3.day']\n",
    "gpcc_ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fd3f6ef-272c-4e24-8705-1797e39f68bb",
   "metadata": {},
   "source": [
    "### CMORPH selecting multiple years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5355b434-56b9-4573-b043-bec601bc8a16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['path', 'version', 'frequency', 'grid', 'year', 'month', 'date',\n",
       "       'variable'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmorph = cat.cmorph\n",
    "cmorph.df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8057e583-a065-4970-a3da-9dce2df8e8db",
   "metadata": {
    "tags": []
   },
   "source": [
    "CMORPH has a 'year' column and we can use it to select multiple years. To do so we pass a list of years to `search()`. In the example below range() is used to write a list including years from 2003 to 2005."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5abe3de9-82bc-49a6-8125-6cb407e3471f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p><strong>cmorph catalog with 1 dataset(s) from 1096 asset(s)</strong>:</p> <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>unique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>path</th>\n",
       "      <td>1096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>version</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>frequency</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grid</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <td>1096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmorph_sub = cmorph.search(year=[x for x in range(2003,2006)])\n",
    "cmorph_sub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "70d744f9-92b9-4a7d-82ac-11396a97d0a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "cmorph_sub = cmorph.search(year=[x for x in range(2003,2006)])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ac2eba-5995-4fb0-83b7-35cedc6eac90",
   "metadata": {},
   "source": [
    "As these are 1096 files the aggregation is a bit slower, intake will show us a progress bar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "23839871-3418-4807-8947-291622ff64dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--> The keys in the returned dictionary of datasets are constructed as follows:\n",
      "\t'frequency.grid'\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='1' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [1/1 00:00<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmorph_dict = cmorph_sub.to_dataset_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "34bc8783-e577-47be-85db-38ae74473d1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['30min.8km'])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmorph_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9ed1c96c-1f64-4ecb-9d6b-982bd595e8d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
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       "  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",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (time: 2192, nv: 2, lat: 1649, lon: 4948)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2003-01-01 ... 2005-12-31T00:30:00\n",
       "  * lat          (lat) float64 -59.96 -59.89 -59.82 -59.75 ... 59.82 59.89 59.96\n",
       "  * lon          (lon) float64 0.03638 0.1091 0.1819 ... 359.8 359.9 360.0\n",
       "Dimensions without coordinates: nv\n",
       "Data variables:\n",
       "    time_bounds  (time, nv) datetime64[ns] dask.array&lt;chunksize=(2, 2), meta=np.ndarray&gt;\n",
       "    lat_bounds   (lat, nv) float64 -60.0 -59.93 -59.93 ... 59.93 59.93 60.0\n",
       "    lon_bounds   (lon, nv) float64 0.0 0.07276 0.07276 ... 359.9 359.9 360.0\n",
       "    cmorph       (time, lat, lon) float32 dask.array&lt;chunksize=(2, 1649, 4948), meta=np.ndarray&gt;\n",
       "Attributes: (12/55)\n",
       "    standard_name_vocabulary:   CF Standard Name Table (v47, 19 September 2017)\n",
       "    institution:                DOC/NOAA/NWS/NCEP/CPC &gt; Climate Prediction Ce...\n",
       "    instrument_vocabulary:      NASA Global Change Master Directory (GCMD) In...\n",
       "    creator_institution:        DOC/NOAA/NWS/NCEP/CPC &gt; Climate Prediction Ce...\n",
       "    geospatial_lat_resolution:  0.072771376\n",
       "    comment:                    Please contact Pingping Xie (pingping.xie@noa...\n",
       "    ...                         ...\n",
       "    instrument:                 SSM/I, AMSU-B, AMSR-E, TMI, MHS, MWRI\n",
       "    spatial_resolution:         0.0728x0.0728 deg lat/lon (~8km at the Equator)\n",
       "    ncei_template_version:      NCEI_NetCDF_Grid_template_V2.0\n",
       "    creator_url:                http://www.cpc.noaa.gov/\n",
       "    keywords_vocabulary:        NASA Global Change Master Directory (GCMD) Ea...\n",
       "    intake_esm_dataset_key:     30min.8km</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b6cc0b4-f751-4674-b4f0-7a469d7b2c8a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b6cc0b4-f751-4674-b4f0-7a469d7b2c8a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2192</li><li><span>nv</span>: 2</li><li><span class='xr-has-index'>lat</span>: 1649</li><li><span class='xr-has-index'>lon</span>: 4948</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1cbc0bff-7022-49c7-9075-915c9a724709' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cbc0bff-7022-49c7-9075-915c9a724709' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2003-01-01 ... 2005-12-31T00:30:00</div><input id='attrs-ae4a82b6-cc19-48a8-ab36-b8c04d563021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae4a82b6-cc19-48a8-ab36-b8c04d563021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63562961-2c67-4e09-a2c7-ab7596682046' class='xr-var-data-in' type='checkbox'><label for='data-63562961-2c67-4e09-a2c7-ab7596682046' 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>starting point of time period</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:30:00.000000000&#x27;,\n",
       "       &#x27;2003-01-02T00:00:00.000000000&#x27;, ..., &#x27;2005-12-30T00:30:00.000000000&#x27;,\n",
       "       &#x27;2005-12-31T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:30:00.000000000&#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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-59.96 -59.89 ... 59.89 59.96</div><input id='attrs-d0350c3d-3018-4c83-acd5-70370da7f525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0350c3d-3018-4c83-acd5-70370da7f525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adc8dec5-532c-410a-b115-3630fb188e5d' class='xr-var-data-in' type='checkbox'><label for='data-adc8dec5-532c-410a-b115-3630fb188e5d' 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 of center of grid box</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-59.963614312</dd><dt><span>valid_max :</span></dt><dd>59.963613336</dd><dt><span>bounds :</span></dt><dd>lat_bounds</dd></dl></div><div class='xr-var-data'><pre>array([-59.963614, -59.890843, -59.818072, ...,  59.818071,  59.890842,\n",
       "        59.963613])</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'>0.03638 0.1091 ... 359.9 360.0</div><input id='attrs-23464e8f-57aa-44a9-9b35-bca06b236387' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23464e8f-57aa-44a9-9b35-bca06b236387' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b28dce16-60b2-4205-9da4-28dae8df0249' class='xr-var-data-in' type='checkbox'><label for='data-b28dce16-60b2-4205-9da4-28dae8df0249' 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 of center of grid box</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>0.0363783345</dd><dt><span>valid_max :</span></dt><dd>359.9636198775</dd><dt><span>bounds :</span></dt><dd>lon_bounds</dd></dl></div><div class='xr-var-data'><pre>array([3.637833e-02, 1.091350e-01, 1.818917e-01, ..., 3.598181e+02,\n",
       "       3.598909e+02, 3.599636e+02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6b56b41-2348-42d1-ba7a-82343129ac20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6b56b41-2348-42d1-ba7a-82343129ac20' 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>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2, 2), meta=np.ndarray&gt;</div><input id='attrs-6d66a5bf-357e-4452-80a9-e6f6e4339797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d66a5bf-357e-4452-80a9-e6f6e4339797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f012004-7e2c-4e53-9276-af9454422bf8' class='xr-var-data-in' type='checkbox'><label for='data-2f012004-7e2c-4e53-9276-af9454422bf8' 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>comment :</span></dt><dd>time bounds for each time value</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 34.25 kiB </td>\n",
       "                        <td> 32 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2192, 2) </td>\n",
       "                        <td> (2, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3288 Tasks </td>\n",
       "                        <td> 1096 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> datetime64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bounds</span></div><div class='xr-var-dims'>(lat, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.93 -59.93 ... 59.93 60.0</div><input id='attrs-055349a1-a931-4784-a788-d23853993559' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-055349a1-a931-4784-a788-d23853993559' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-459c2328-0284-4b52-b548-390a38831eac' class='xr-var-data-in' type='checkbox'><label for='data-459c2328-0284-4b52-b548-390a38831eac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>latitude values at south and north bounds of grid box</dd></dl></div><div class='xr-var-data'><pre>array([[-60.        , -59.92722862],\n",
       "       [-59.92722862, -59.85445725],\n",
       "       [-59.85445725, -59.78168587],\n",
       "       ...,\n",
       "       [ 59.7816849 ,  59.85445627],\n",
       "       [ 59.85445627,  59.92722765],\n",
       "       [ 59.92722765,  59.99999902]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bounds</span></div><div class='xr-var-dims'>(lon, nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.07276 0.07276 ... 359.9 360.0</div><input id='attrs-c3046085-f2ab-4344-b1b1-6b9a98120eb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3046085-f2ab-4344-b1b1-6b9a98120eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-310c15c6-a375-4660-88df-bd273961a74a' class='xr-var-data-in' type='checkbox'><label for='data-310c15c6-a375-4660-88df-bd273961a74a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>longitude values at west and east bounds of grid box</dd></dl></div><div class='xr-var-data'><pre>array([[0.00000000e+00, 7.27566690e-02],\n",
       "       [7.27566690e-02, 1.45513338e-01],\n",
       "       [1.45513338e-01, 2.18270007e-01],\n",
       "       ...,\n",
       "       [3.59781728e+02, 3.59854485e+02],\n",
       "       [3.59854485e+02, 3.59927242e+02],\n",
       "       [3.59927242e+02, 3.59999998e+02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cmorph</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'>dask.array&lt;chunksize=(2, 1649, 4948), meta=np.ndarray&gt;</div><input id='attrs-9bc4ee51-ab1e-42ae-912c-d2ff9f83ea26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bc4ee51-ab1e-42ae-912c-d2ff9f83ea26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a624f41-96d9-4778-82da-83247999718e' class='xr-var-data-in' type='checkbox'><label for='data-9a624f41-96d9-4778-82da-83247999718e' 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>lwe_precipitation_rate</dd><dt><span>long_name :</span></dt><dd>NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>comment :</span></dt><dd>!!! CMORPH estimate is rainrate !!!</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 66.63 GiB </td>\n",
       "                        <td> 62.25 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (2192, 1649, 4948) </td>\n",
       "                        <td> (2, 1649, 4948) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3288 Tasks </td>\n",
       "                        <td> 1096 Chunks </td>\n",
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       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba81d438-4d23-499f-8618-545115bea7d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba81d438-4d23-499f-8618-545115bea7d4' class='xr-section-summary' >Attributes: <span>(55)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v47, 19 September 2017)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NWS/NCEP/CPC &gt; Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service</dd><dt><span>instrument_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Instrument Keywords, Version 8.1</dd><dt><span>creator_institution :</span></dt><dd>DOC/NOAA/NWS/NCEP/CPC &gt; Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.072771376</dd><dt><span>comment :</span></dt><dd>Please contact Pingping Xie (pingping.xie@noaa.gov) or Shaorong Wu (shaorong.wu@noaa.gov) for questions on this CDR.</dd><dt><span>summary :</span></dt><dd>The CMORPH CDR is a reprocessed and bias-corrected global precipitation product created on an 8kmx8km grid over the globe (60S-60N) and in a 30-minute temporal resolution for an 18-year period from January 1998 to the present. First, the purely satellite based CMORPH precipitation estimates (raw CMORPH) are reprocessed. The integration algorithm is fixed and the input Level 2 passive microwave (PMW) retrievals of instantaneous precipitation rates are from identical versions throughout the entire data period. Bias correction is then performed for the raw CMORPH through probability density function (PDF) matching against the CPC daily gauge analysis over land and through adjustment against the Global Precipitation Climatology Program (GPCP) pentad merged analysis of precipitation over ocean. The reprocessed, bias-corrected CMORPH exhibits improved performance in representing the magnitude, spatial distribution patterns and temporal variations of precipitation over the global domain from 60S to 60N. Bias in the CMORPH satellite precipitation estimates is almost completely removed over land during warm seasons (May – September), while during co seasons (October to April) CMORPH tend to under-estimate the precipitation due to the less-than-desirable performance of the current generation PMW retrievals in detecting and quantifying snowfall and cold season rainfall. Details of the CMORPH CDR may be found in Xie et al. (2017).</dd><dt><span>creator_name :</span></dt><dd>Dr. Pingping Xie</dd><dt><span>keywords :</span></dt><dd>Precipitation, Satellite, High-Resolution, Global</dd><dt><span>contributor_name :</span></dt><dd>Pingping Xie; Robert Joyce; Shaorong Wu</dd><dt><span>contributor_role :</span></dt><dd>Project Leader; Co-Investigator; Co-Investigator</dd><dt><span>publisher_institution :</span></dt><dd>NOAA National Centers for Environmental Information</dd><dt><span>license :</span></dt><dd>No constraints on data access or use.</dd><dt><span>title :</span></dt><dd>NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High-Resolution Global Precipitation Estimates</dd><dt><span>references :</span></dt><dd>Xie, P., et al. (2017), Reprocessed, Bias-Corrected CMORPH Global High-Resolution Precipitation Estimates from 1998, J. Hydrometeorol., 18, 1617-1641 (DOI:10.1175/JHM-D-16-0168.1)</dd><dt><span>date_issued :</span></dt><dd>2018-10-22</dd><dt><span>cdr_variable :</span></dt><dd>precipitation</dd><dt><span>publisher_type :</span></dt><dd>institution</dd><dt><span>cdr_program :</span></dt><dd>NOAA/NESDIS Climate Data Record Program</dd><dt><span>project :</span></dt><dd>Climate Data Record for CMORPH High-Resolution Satellite Precipitation Estimates. Sponsor: NOAA/NESDIS CDR Program</dd><dt><span>time_coverage_duration :</span></dt><dd>PT1H</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0</dd><dt><span>metadata_link :</span></dt><dd>gov.noaa.ncdc:C00948</dd><dt><span>naming_authority :</span></dt><dd>gov.noaa.ncei</dd><dt><span>geospatial_lon_max :</span></dt><dd>360.0</dd><dt><span>program :</span></dt><dd>NOAA Climate Data Record Program</dd><dt><span>creator_email :</span></dt><dd>pingping.xie@noaa.gov</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>platform_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Platform Keywords, Version 8.1</dd><dt><span>platform :</span></dt><dd>DMSP 5D-2/F13, DMSP 5D-2/F14, DMSP 5D-3/F15, DMSP 5D-3/F16, DMSP 5D-3/F17, DMSP 5D-3/F18, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-19, AQUA, TRMM, MetOp-A, MetOp-B, FY-3B</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>creator_type :</span></dt><dd>group</dd><dt><span>publisher_name :</span></dt><dd>NOAA National Centers for Environmental Information</dd><dt><span>product_version :</span></dt><dd>Version 1.0</dd><dt><span>time_coverage_resolution :</span></dt><dd>PT30M</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.072756669</dd><dt><span>acknowledgement :</span></dt><dd>This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites.</dd><dt><span>publisher_url :</span></dt><dd>http://www.ncei.noaa.gov</dd><dt><span>date_created :</span></dt><dd>2018-10-22</dd><dt><span>source :</span></dt><dd>Passive Microwave (PMW) Level 2 precipitation retrievals from all available sensors; NESDIS Interactive Multisensor Snow and Ice Mapping System (IMS) daily 4-km snow and ice cover maps; CPC Unified Daily Gauge Analysis</dd><dt><span>geospatial_lat_max :</span></dt><dd>60.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-60.0</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 3</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>date_modified :</span></dt><dd>2018-10-22</dd><dt><span>publisher_email :</span></dt><dd>ncei.orders@noaa.gov</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>intake_esm_varname :</span></dt><dd>[&#x27;cmorph&#x27;]</dd><dt><span>history :</span></dt><dd>Version 1.0 release in August 2015</dd><dt><span>instrument :</span></dt><dd>SSM/I, AMSU-B, AMSR-E, TMI, MHS, MWRI</dd><dt><span>spatial_resolution :</span></dt><dd>0.0728x0.0728 deg lat/lon (~8km at the Equator)</dd><dt><span>ncei_template_version :</span></dt><dd>NCEI_NetCDF_Grid_template_V2.0</dd><dt><span>creator_url :</span></dt><dd>http://www.cpc.noaa.gov/</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 8.1</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>30min.8km</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (time: 2192, nv: 2, lat: 1649, lon: 4948)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2003-01-01 ... 2005-12-31T00:30:00\n",
       "  * lat          (lat) float64 -59.96 -59.89 -59.82 -59.75 ... 59.82 59.89 59.96\n",
       "  * lon          (lon) float64 0.03638 0.1091 0.1819 ... 359.8 359.9 360.0\n",
       "Dimensions without coordinates: nv\n",
       "Data variables:\n",
       "    time_bounds  (time, nv) datetime64[ns] dask.array<chunksize=(2, 2), meta=np.ndarray>\n",
       "    lat_bounds   (lat, nv) float64 -60.0 -59.93 -59.93 ... 59.93 59.93 60.0\n",
       "    lon_bounds   (lon, nv) float64 0.0 0.07276 0.07276 ... 359.9 359.9 360.0\n",
       "    cmorph       (time, lat, lon) float32 dask.array<chunksize=(2, 1649, 4948), meta=np.ndarray>\n",
       "Attributes: (12/55)\n",
       "    standard_name_vocabulary:   CF Standard Name Table (v47, 19 September 2017)\n",
       "    institution:                DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Ce...\n",
       "    instrument_vocabulary:      NASA Global Change Master Directory (GCMD) In...\n",
       "    creator_institution:        DOC/NOAA/NWS/NCEP/CPC > Climate Prediction Ce...\n",
       "    geospatial_lat_resolution:  0.072771376\n",
       "    comment:                    Please contact Pingping Xie (pingping.xie@noa...\n",
       "    ...                         ...\n",
       "    instrument:                 SSM/I, AMSU-B, AMSR-E, TMI, MHS, MWRI\n",
       "    spatial_resolution:         0.0728x0.0728 deg lat/lon (~8km at the Equator)\n",
       "    ncei_template_version:      NCEI_NetCDF_Grid_template_V2.0\n",
       "    creator_url:                http://www.cpc.noaa.gov/\n",
       "    keywords_vocabulary:        NASA Global Change Master Directory (GCMD) Ea...\n",
       "    intake_esm_dataset_key:     30min.8km"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = cmorph_dict['30min.8km']\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc175c10-d242-436e-8b7b-7aacdd8107b2",
   "metadata": {},
   "source": [
    "### GHCN csv files"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a535f865-3d2f-4a59-b210-cfe93abb1426",
   "metadata": {},
   "source": [
    "The GHNC dataset is composed by csv files. We included in the catalogue, so users can see they also exists, but we are still working on their configuration, so they can be also loaded using the intake-csv driver."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e6deaabf-abef-438f-b8d6-e82ca96856d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/yaml": "ghcn:\n  args:\n    urlpath: /g/data/ia39/aus-ref-clim-data-nci/ghcn/data/daily/by_year/{year}.csv\n  description: 'Replica of the daily station precipitation data from the Global Historical\n    Climatology Network (GHCN).\n\n    GHCN-Daily is an integrated database of daily climate summaries from land surface\n    stations across the globe.\n\n    It contains records from over 100,000 stations in 180 countries and territories.\n    The period of record station files are parsed into yearly csv files that contain\n    all available GHCN Daily station data for that year plus a time of observation\n    field (where available).\n\n\n    !!!! NB. This is a work in progress! Currently the intake-csv driver is not handling\n    correctly these files.\n\n    '\n  driver: intake.source.csv.CSVSource\n  metadata:\n    catalog_dir: /g/data/ia39/aus-ref-clim-data-nci/acs-replica-intake/\n",
      "text/plain": [
       "ghcn:\n",
       "  args:\n",
       "    urlpath: /g/data/ia39/aus-ref-clim-data-nci/ghcn/data/daily/by_year/{year}.csv\n",
       "  description: 'Replica of the daily station precipitation data from the Global Historical\n",
       "    Climatology Network (GHCN).\n",
       "\n",
       "    GHCN-Daily is an integrated database of daily climate summaries from land surface\n",
       "    stations across the globe.\n",
       "\n",
       "    It contains records from over 100,000 stations in 180 countries and territories.\n",
       "    The period of record station files are parsed into yearly csv files that contain\n",
       "    all available GHCN Daily station data for that year plus a time of observation\n",
       "    field (where available).\n",
       "\n",
       "\n",
       "    !!!! NB. This is a work in progress! Currently the intake-csv driver is not handling\n",
       "    correctly these files.\n",
       "\n",
       "    '\n",
       "  driver: intake.source.csv.CSVSource\n",
       "  metadata:\n",
       "    catalog_dir: /g/data/ia39/aus-ref-clim-data-nci/acs-replica-intake/\n"
      ]
     },
     "metadata": {
      "application/json": {
       "root": "ghcn"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ghcn = cat.ghcn\n",
    "ghcn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff104adc-c7d0-43dc-97ec-24b8eb9dbb6c",
   "metadata": {},
   "source": [
    "As this is using the `csv` package to handle the data, we need first to read the data as we would for a csv file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43ade700-568c-438a-8cce-0bd03e29d0d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is still not working probably the type of data, as some are strings!\n",
    "# ghcn.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eca2d084-d9dc-4f1e-ab23-ff62cee2dab8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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