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  {
   "cell_type": "markdown",
   "id": "33ded939-7e56-4412-98bf-e4ef7217b86f",
   "metadata": {},
   "source": [
    "# Calculate monthly mean data from daily inputs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a49237b-801a-4a88-9c37-52983414134e",
   "metadata": {},
   "source": [
    "## notes"
   ]
  },
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   "cell_type": "raw",
   "id": "af7dbb62-4d24-430a-80f3-0e7592ec4106",
   "metadata": {},
   "source": [
    "MW5-1 19980101 to 20230603\n",
    "MW-IR5-1 20020601 to 20230603\n",
    "xr.ds.to-netcdf\n",
    "ds.var.attr\n",
    ".compute() or .load()\n",
    "\n",
    "https://github.com/PCMDI/input4MIPs_CVs/issues/5\n",
    "\n",
    "Salinity\n",
    "OISSS/UHawaii\n",
    "https://search.earthdata.nasa.gov/search/granules?p=C2589160971-POCLOUD&pg[0][v]=f&pg[0][gsk]=-start_date&tl=1700072617!3!!\n",
    "https://podaac.jpl.nasa.gov/dataset/OISSS_L4_multimission_7day_v2\n",
    "https://github.com/podaac/data-subscriber/tree/main - https://podaac.jpl.nasa.gov/legacy_retirement.html\n",
    "\n",
    "240111: updated from xcd060 to xcd061cdmcdu env\n",
    "(xcd061cdmcdu) bash-4.2$ cdscan -x 199801.xml v20230605/199801*.nc\n",
    "240112: xCDAT temporal_average issue https://github.com/xCDAT/xcdat/issues/586\n",
    "\n",
    "To-do"
   ]
  },
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   "cell_type": "markdown",
   "id": "61c5cbe2-ca4c-4e0a-b49a-3b3801c29d80",
   "metadata": {},
   "source": [
    "## imports"
   ]
  },
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     "text": [
      "CPU times: user 7.03 s, sys: 1.56 s, total: 8.59 s\n",
      "Wall time: 7.5 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "import cartopy.crs as ccrs\n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import xarray as xr\n",
    "import xcdat as xc\n",
    "import cdms2 as cdm\n",
    "import cdutil as cdu\n",
    "import cdtime as cdt\n",
    "import cftime as cft"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43892fa7-ab78-400e-8eb9-47b5e4402aa8",
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    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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    "def nearestNeighbourFill(data, missingValue=0):\n",
    "    \"\"\"\n",
    "    Documentation for nearestNeighbourFill():\n",
    "    -------\n",
    "    The nearestNeighbourFill() function iteratively infills a 2D matrix\n",
    "    with values from immediately neighbouring cells\n",
    "\n",
    "    Author: Paul J. Durack : pauldurack@llnl.gov\n",
    "\n",
    "    Inputs:\n",
    "    -----\n",
    "\n",
    "    |  **data** - a numpy 2D array\n",
    "    |  **missingValue** - missing value of data matrix\n",
    "\n",
    "    Returns:\n",
    "    -------\n",
    "\n",
    "    |  **filledData** - a numpy array with no missingValues\n",
    "\n",
    "    Usage:\n",
    "    ------\n",
    "        data = np.array([[1, 2, 3, 4],\n",
    "                         [5, 0, 7, 8],\n",
    "                         [9, 10, 11, 12]])\n",
    "\n",
    "        filledData = nearestNeighborFill(data, missingValue=0)\n",
    "        print(filledData)\n",
    "    \n",
    "    Notes:\n",
    "    -----\n",
    "    * PJD 28 Nov 2023 - Started\n",
    "    \"\"\"\n",
    "\n",
    "    # Make copy of input matrix\n",
    "    filledData = data.copy()\n",
    "\n",
    "    # Find indices of missing values\n",
    "    missingIndices = np.argwhere(data == missingValue)\n",
    "\n",
    "    for idx in missingIndices:\n",
    "        row, col = idx\n",
    "        neighbors = []\n",
    "\n",
    "        # Iterate over neighbouring cells\n",
    "        for i in range(max(0, row - 1), min(data.shape[0], row + 2)):\n",
    "            for j in range(max(0, col - 1), min(data.shape[1], col + 2)):\n",
    "                if (i, j) != (row, col) and data[i, j] != missingValue:\n",
    "                    neighbours.append(data[i, j])\n",
    "\n",
    "        # Fill missing value with the mean of neighbours\n",
    "        if neighbours:\n",
    "            filledData[row, col] = np.mean(neighbours)\n",
    "\n",
    "    return filledData\n",
    "\n",
    "\n",
    "def iterativeZonalFill(data, missingValue=0):\n",
    "    \"\"\"\n",
    "    Documentation for iterativeZonalFill():\n",
    "    -------\n",
    "    The iterativeZonalFill() function iteratively infills a 2D matrix\n",
    "    with values zonal neighbouring cells\n",
    "\n",
    "    Author: Paul J. Durack : pauldurack@llnl.gov\n",
    "\n",
    "    Inputs:\n",
    "    -----\n",
    "\n",
    "    |  **data** - a numpy 2D array\n",
    "    |  **missingValue** - missing value of data matrix\n",
    "\n",
    "    Returns:\n",
    "    -------\n",
    "\n",
    "    |  **filledData** - a numpy array with no missingValues\n",
    "\n",
    "    Usage:\n",
    "    ------\n",
    "        data = np.array([[1, 2, 3, 4],\n",
    "                         [5, 0, 7, 8],\n",
    "                         [9, 10, 11, 12]])\n",
    "\n",
    "        filledData = iterativeZonalFill(data, missingValue=0)\n",
    "        print(filledData)\n",
    "    \n",
    "    Notes:\n",
    "    -----\n",
    "    * PJD 28 Nov 2023 - Started\n",
    "    \"\"\"\n",
    "   \n",
    "    # Make copy of input matrix\n",
    "    filledData = data.copy()\n",
    "\n",
    "    # Find indices of missing values\n",
    "    missingIndices = np.argwhere(data == missingValue)\n",
    "\n",
    "    # Define directions for iteration (right, down, left, up)\n",
    "    directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]\n",
    "\n",
    "    for direction in directions:\n",
    "        dx, dy = direction\n",
    "\n",
    "        # Iterate over the data in the specified direction\n",
    "        for i in range(1, max(data.shape) + 1):\n",
    "            for idx in missingIndices:\n",
    "                row, col = idx\n",
    "                new_row, new_col = row + i * dx, col + i * dy\n",
    "\n",
    "                # Check if the new indices are within the data boundaries\n",
    "                if 0 <= new_row < data.shape[0] and 0 <= new_col < data.shape[1]:\n",
    "                    if data[new_row, new_col] != missingValue:\n",
    "                        filledData[row, col] = data[new_row, new_col]\n",
    "\n",
    "    return filledData\n",
    "\n"
   ]
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  {
   "cell_type": "markdown",
   "id": "6303958e-aeb7-4956-a963-47ef1271bce9",
   "metadata": {},
   "source": [
    "## set data paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6efe82fe-42e1-4162-8e01-424936c02473",
   "metadata": {},
   "outputs": [],
   "source": [
    "obsPath = \"/p/user_pub/PCMDIobs/obs4MIPs_input/RSS/RSS-MW5-1/v20230605/\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "677f879a-e424-46c3-8e14-dee8a1cddbce",
   "metadata": {},
   "source": [
    "# cdat reads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bac8167a-0bb7-4537-b6b9-b2e79b6c3898",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['p', 'user_pub', 'PCMDIobs', 'obs4MIPs_input', 'RSS', 'RSS-MW5-1', 'v20230605', '']\n",
      "sst199801.getTime():    id: time\n",
      "   Designated a time axis.\n",
      "   units:  seconds since 1981-01-01 00:00:00\n",
      "   Length: 31\n",
      "   First:  536500800.0\n",
      "   Last:   539092800.0\n",
      "   Other axis attributes:\n",
      "      axis: T\n",
      "      calendar: gregorian\n",
      "      realtopology: linear\n",
      "   Python id:  0x7f2aeb89cee0\n",
      "\n",
      "sst199801.shape: (31, 720, 1440)\n",
      "sst199801mean.shape: (1, 720, 1440)\n",
      "\n",
      "time199801mean:\n",
      " 1998-1-16 12:0:0.0\n",
      "time199801mean bounds:\n",
      " 1998-01-01 00:00:00 \n",
      " 1998-02-01 00:00:00\n"
     ]
    }
   ],
   "source": [
    "print(obsPath.split(\"/\")[1:])\n",
    "obsPathXml = os.path.join(\"/\", *obsPath.split(\"/\")[1:7], \"199801.xml\")\n",
    "# open file handle\n",
    "fH = cdm.open(obsPathXml)\n",
    "# read sst variable\n",
    "sst199801 = fH(\"analysed_sst\")\n",
    "print(\"sst199801.getTime():\", sst199801.getTime())\n",
    "time199801 = sst199801.getTime().asComponentTime()\n",
    "#print(\"time199801:\", time199801)\n",
    "# assign correct bounds for daily data\n",
    "cdu.setTimeBoundsDaily(sst199801)\n",
    "time199801d = sst199801.getTime().asComponentTime()\n",
    "#print(\"time199801d:\", time199801d)  # identical to time199801\n",
    "# calculate monthly mean\n",
    "sst199801mean = cdu.JAN(sst199801)\n",
    "# query array shapes\n",
    "print(\"sst199801.shape:\", sst199801.shape)\n",
    "print(\"sst199801mean.shape:\", sst199801mean.shape)\n",
    "# query cdat-generated time values\n",
    "time199801mean = sst199801mean.getTime().asComponentTime()\n",
    "print()\n",
    "print(\"time199801mean:\\n\", time199801mean[0])\n",
    "sst1998meanTimeBounds = sst199801mean.getTime().getBounds()[0]\n",
    "# map back to relative\n",
    "origin = dt.datetime(1981, 1, 1, 0, 0, 0)\n",
    "startBounds = origin + dt.timedelta(0, sst1998meanTimeBounds[0])\n",
    "endBounds = origin + dt.timedelta(0, sst1998meanTimeBounds[1])\n",
    "print(\"time199801mean bounds:\\n\", startBounds, \"\\n\", endBounds)\n",
    "fH.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "761422b6-ff40-47e6-9e56-1edb225c06bd",
   "metadata": {},
   "source": [
    "# xcdat reads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ed5d095e-942e-4963-b413-688d312b283a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dataPath: /p/user_pub/PCMDIobs/obs4MIPs_input/RSS/RSS-MW5-1/v20230605/199801*.nc\n",
      "done!\n"
     ]
    }
   ],
   "source": [
    "def setCalendar(ds):\n",
    "    # https://github.com/pydata/xarray/issues/6259\n",
    "    ds.time.attrs[\"calendar\"] = \"standard\"\n",
    "    ds.time.attrs[\"units\"] = \"seconds since 1981-01-01 00:00:00\"\n",
    "    return ds\n",
    "    #return xr.decode_cf(ds)\n",
    "\n",
    "dataPath = os.path.join(obsPath, \"199801*.nc\")\n",
    "#dataPath = os.path.join(obsPath, \"1998*.nc\")\n",
    "print(\"dataPath:\", dataPath)\n",
    "ds = xc.open_mfdataset(dataPath, preprocess=setCalendar)\n",
    "print(\"done!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ad5e75b-4604-4a08-aa2f-27c05728437c",
   "metadata": {},
   "source": [
    "## view dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4b076987-b771-41c8-ad2e-c00e5598b56f",
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
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       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    analysis_error    (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    mask              (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-af4f367f-fce8-4767-94d7-ddfcd0075995' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af4f367f-fce8-4767-94d7-ddfcd0075995' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>time</span>: 31</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3301e88b-eee9-43bf-8abc-ace2bab12708' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3301e88b-eee9-43bf-8abc-ace2bab12708' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-7665d8f1-0c1d-488f-85cd-3030ac6f87a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7665d8f1-0c1d-488f-85cd-3030ac6f87a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde1541d-a887-497a-a291-ff8f11569725' class='xr-var-data-in' type='checkbox'><label for='data-fde1541d-a887-497a-a291-ff8f11569725' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-31028094-c206-49e8-8d15-446e383b8cb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31028094-c206-49e8-8d15-446e383b8cb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db1123af-0acb-49af-8ac2-e87f515529fd' class='xr-var-data-in' type='checkbox'><label for='data-db1123af-0acb-49af-8ac2-e87f515529fd' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 12:00:00 ... 1998-01-...</div><input id='attrs-21339736-8796-43dc-8024-d5e80cc42912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21339736-8796-43dc-8024-d5e80cc42912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22218e9d-36d7-4dbd-b158-876b66fe00f6' class='xr-var-data-in' type='checkbox'><label for='data-22218e9d-36d7-4dbd-b158-876b66fe00f6' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 3, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 4, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 5, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 6, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 7, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 8, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 9, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 10, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 11, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 12, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 13, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 14, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 15, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 17, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 18, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 19, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 20, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 21, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 22, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 23, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 24, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 25, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 26, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 27, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 28, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f596c47-0a86-4ce9-9331-d9be4d0a67ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f596c47-0a86-4ce9-9331-d9be4d0a67ad' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-258bdb8a-5228-4230-bd6c-d8f2e74f6ed1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-258bdb8a-5228-4230-bd6c-d8f2e74f6ed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43f3843e-e54e-4930-86b9-1c6d15a5986e' class='xr-var-data-in' type='checkbox'><label for='data-43f3843e-e54e-4930-86b9-1c6d15a5986e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysis_error</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-45ec822e-db13-44e7-bea9-c99466a39d3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45ec822e-db13-44e7-bea9-c99466a39d3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-751ff387-1472-4ae4-b696-0a745233b871' class='xr-var-data-in' type='checkbox'><label for='data-751ff387-1472-4ae4-b696-0a745233b871' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>estimated error standard deviation of analysed_sst</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>coverage_content_type :</span></dt><dd>qualityInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_fraction</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-f58a8d14-b35d-47f8-8f76-22f69a3fa0f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f58a8d14-b35d-47f8-8f76-22f69a3fa0f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4376271-bf7d-424b-bb79-c83a21767c2b' class='xr-var-data-in' type='checkbox'><label for='data-e4376271-bf7d-424b-bb79-c83a21767c2b' 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>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>sea ice area fraction</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>100</dd><dt><span>source :</span></dt><dd>EUMETSAT OSI-SAF OSI_450</dd><dt><span>coverage_content_type :</span></dt><dd>auxiliaryInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-861f6ac6-fc68-4bd3-bf27-2f043a31d499' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-861f6ac6-fc68-4bd3-bf27-2f043a31d499' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33255c99-b2b8-4173-8bf9-a267774d8f8e' class='xr-var-data-in' type='checkbox'><label for='data-33255c99-b2b8-4173-8bf9-a267774d8f8e' 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>land sea ice lake bit mask</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>127</dd><dt><span>flag_masks :</span></dt><dd>[ 1  2  4  8 16 32 64]</dd><dt><span>flag_meanings :</span></dt><dd>water land optional_lake_surface sea_ice optional_river_surface IR_data MW_data</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    \n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-f0e015d6-6cef-48cd-935e-f089d1074829' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0e015d6-6cef-48cd-935e-f089d1074829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aee9cf82-3f5c-476e-95fe-028a3952662d' class='xr-var-data-in' type='checkbox'><label for='data-aee9cf82-3f5c-476e-95fe-028a3952662d' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-d632d2a2-1a7b-4032-a7fc-0afa0b633696' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d632d2a2-1a7b-4032-a7fc-0afa0b633696' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2862cb44-a748-45a5-8a9c-dbe3af192233' class='xr-var-data-in' type='checkbox'><label for='data-2862cb44-a748-45a5-8a9c-dbe3af192233' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42aca24f-04ba-49b9-89d2-6a9eba1e35e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-42aca24f-04ba-49b9-89d2-6a9eba1e35e1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7aa709ed-4241-4708-8b54-7f36362a48fd' class='xr-index-data-in' type='checkbox'/><label for='index-7aa709ed-4241-4708-8b54-7f36362a48fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-009bf6b3-5fbb-4972-8b17-ef4742a9788b' class='xr-index-data-in' type='checkbox'/><label for='index-009bf6b3-5fbb-4972-8b17-ef4742a9788b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-66f3e3c6-65e5-4005-b4dc-79c46c890f31' class='xr-index-data-in' type='checkbox'/><label for='index-66f3e3c6-65e5-4005-b4dc-79c46c890f31' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-01 12:00:00, 1998-01-02 12:00:00, 1998-01-03 12:00:00,\n",
       "             1998-01-04 12:00:00, 1998-01-05 12:00:00, 1998-01-06 12:00:00,\n",
       "             1998-01-07 12:00:00, 1998-01-08 12:00:00, 1998-01-09 12:00:00,\n",
       "             1998-01-10 12:00:00, 1998-01-11 12:00:00, 1998-01-12 12:00:00,\n",
       "             1998-01-13 12:00:00, 1998-01-14 12:00:00, 1998-01-15 12:00:00,\n",
       "             1998-01-16 12:00:00, 1998-01-17 12:00:00, 1998-01-18 12:00:00,\n",
       "             1998-01-19 12:00:00, 1998-01-20 12:00:00, 1998-01-21 12:00:00,\n",
       "             1998-01-22 12:00:00, 1998-01-23 12:00:00, 1998-01-24 12:00:00,\n",
       "             1998-01-25 12:00:00, 1998-01-26 12:00:00, 1998-01-27 12:00:00,\n",
       "             1998-01-28 12:00:00, 1998-01-29 12:00:00, 1998-01-30 12:00:00,\n",
       "             1998-01-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=31, calendar=&#x27;standard&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06bef950-0e78-4623-8ea8-ae30fc77c981' class='xr-section-summary-in' type='checkbox'  ><label for='section-06bef950-0e78-4623-8ea8-ae30fc77c981' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    analysis_error    (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    mask              (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e44fe861-7781-456e-968b-884644c8ccaa",
   "metadata": {},
   "source": [
    "## add calendar attribute to time axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aa76ed5a-66a4-43d5-bab1-5cae5bacc73a",
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   "source": [
    "ds.time.attrs['calendar'] = 'standard'"
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "361f9d50-2d78-48ce-ac90-c68db30562ef",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    analysis_error    (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    mask              (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-714342b1-8c4c-4b5a-b86b-e63f246e189c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-714342b1-8c4c-4b5a-b86b-e63f246e189c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>time</span>: 31</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6562883e-de7b-49e2-923c-7fd40da142d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6562883e-de7b-49e2-923c-7fd40da142d9' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-22f13dbe-3581-4f8f-87cb-f547cfd63e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22f13dbe-3581-4f8f-87cb-f547cfd63e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16ab4d9d-639e-4825-b2c5-db9e2586611a' class='xr-var-data-in' type='checkbox'><label for='data-16ab4d9d-639e-4825-b2c5-db9e2586611a' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-fec5238b-cdd6-47b5-af52-6755f78f1c13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fec5238b-cdd6-47b5-af52-6755f78f1c13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd25086-b772-4b06-86ea-c3994a4c8a22' class='xr-var-data-in' type='checkbox'><label for='data-0bd25086-b772-4b06-86ea-c3994a4c8a22' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 12:00:00 ... 1998-01-...</div><input id='attrs-e4d75b71-96da-4d06-a525-7ee513100a94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4d75b71-96da-4d06-a525-7ee513100a94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1087a12-1726-42da-b1b8-eb47c1ab0021' class='xr-var-data-in' type='checkbox'><label for='data-c1087a12-1726-42da-b1b8-eb47c1ab0021' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>calendar :</span></dt><dd>standard</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 3, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 4, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 5, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 6, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 7, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 8, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 9, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 10, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 11, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 12, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 13, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 14, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 15, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 17, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 18, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 19, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 20, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 21, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 22, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 23, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 24, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 25, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 26, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 27, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 28, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1fd32213-232b-41fe-bd6e-be60555966ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fd32213-232b-41fe-bd6e-be60555966ed' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-f110395e-221c-4e75-964c-686bc6aa983d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f110395e-221c-4e75-964c-686bc6aa983d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6f1d666-2806-48cd-8a5b-e56a13feb464' class='xr-var-data-in' type='checkbox'><label for='data-e6f1d666-2806-48cd-8a5b-e56a13feb464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
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       "            </table>\n",
       "        </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysis_error</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-ca312073-dde9-4f83-aec4-1e35f19d2a24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca312073-dde9-4f83-aec4-1e35f19d2a24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0aa2fc4-0343-4734-99cf-e9a0370aebca' class='xr-var-data-in' type='checkbox'><label for='data-c0aa2fc4-0343-4734-99cf-e9a0370aebca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>estimated error standard deviation of analysed_sst</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>coverage_content_type :</span></dt><dd>qualityInformation</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_fraction</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-57300d83-016b-4470-881b-eb071afd41e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57300d83-016b-4470-881b-eb071afd41e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58e061cf-0f27-4224-9569-8dd5738e0e3b' class='xr-var-data-in' type='checkbox'><label for='data-58e061cf-0f27-4224-9569-8dd5738e0e3b' 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>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>sea ice area fraction</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>100</dd><dt><span>source :</span></dt><dd>EUMETSAT OSI-SAF OSI_450</dd><dt><span>coverage_content_type :</span></dt><dd>auxiliaryInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-2d71bff8-2fd5-4fd5-9d3c-347d984c1a82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d71bff8-2fd5-4fd5-9d3c-347d984c1a82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b7898e4-3039-4381-9be2-78047ebc172d' class='xr-var-data-in' type='checkbox'><label for='data-2b7898e4-3039-4381-9be2-78047ebc172d' 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>land sea ice lake bit mask</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>127</dd><dt><span>flag_masks :</span></dt><dd>[ 1  2  4  8 16 32 64]</dd><dt><span>flag_meanings :</span></dt><dd>water land optional_lake_surface sea_ice optional_river_surface IR_data MW_data</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
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       "  <text x=\"167.322185\" y=\"47.322185\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,167.322185,47.322185)\">720</text>\n",
       "  <text x=\"8.661092\" y=\"88.661092\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.661092,88.661092)\">31</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-6ad5677e-b0d0-47d1-8664-be217b0ad459' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ad5677e-b0d0-47d1-8664-be217b0ad459' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7619266-eb31-491e-ab6f-4eaedde8ea79' class='xr-var-data-in' type='checkbox'><label for='data-c7619266-eb31-491e-ab6f-4eaedde8ea79' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-138fa864-f0ec-4a40-8f6e-5cf489de170e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-138fa864-f0ec-4a40-8f6e-5cf489de170e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3f37822-a9db-40f0-a4df-ea04103822cc' class='xr-var-data-in' type='checkbox'><label for='data-b3f37822-a9db-40f0-a4df-ea04103822cc' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5d7764e-0bac-4309-bece-7a06bf42b1fd' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5d7764e-0bac-4309-bece-7a06bf42b1fd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2b1b139-a564-4568-81a5-2a43f6253585' class='xr-index-data-in' type='checkbox'/><label for='index-c2b1b139-a564-4568-81a5-2a43f6253585' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ff9c30d-7757-493f-840d-5b884c5a79e6' class='xr-index-data-in' type='checkbox'/><label for='index-4ff9c30d-7757-493f-840d-5b884c5a79e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2fc29286-14b5-429f-93be-5360e00bd6c6' class='xr-index-data-in' type='checkbox'/><label for='index-2fc29286-14b5-429f-93be-5360e00bd6c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-01 12:00:00, 1998-01-02 12:00:00, 1998-01-03 12:00:00,\n",
       "             1998-01-04 12:00:00, 1998-01-05 12:00:00, 1998-01-06 12:00:00,\n",
       "             1998-01-07 12:00:00, 1998-01-08 12:00:00, 1998-01-09 12:00:00,\n",
       "             1998-01-10 12:00:00, 1998-01-11 12:00:00, 1998-01-12 12:00:00,\n",
       "             1998-01-13 12:00:00, 1998-01-14 12:00:00, 1998-01-15 12:00:00,\n",
       "             1998-01-16 12:00:00, 1998-01-17 12:00:00, 1998-01-18 12:00:00,\n",
       "             1998-01-19 12:00:00, 1998-01-20 12:00:00, 1998-01-21 12:00:00,\n",
       "             1998-01-22 12:00:00, 1998-01-23 12:00:00, 1998-01-24 12:00:00,\n",
       "             1998-01-25 12:00:00, 1998-01-26 12:00:00, 1998-01-27 12:00:00,\n",
       "             1998-01-28 12:00:00, 1998-01-29 12:00:00, 1998-01-30 12:00:00,\n",
       "             1998-01-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=31, calendar=&#x27;standard&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-897f60b2-2ea1-4c6c-982f-c1a091dfc31b' class='xr-section-summary-in' type='checkbox'  ><label for='section-897f60b2-2ea1-4c6c-982f-c1a091dfc31b' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    analysis_error    (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    mask              (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45fa324b-c252-4c6f-aa0e-cda4ffaf38ae",
   "metadata": {},
   "source": [
    "## add missing time_bnds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "89c7e35f-bcea-47a6-96fd-178bb11c1e54",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds.bounds.add_missing_bounds(axes=\"T\")\n",
    "#ds.time.attrs[\"bounds\"] = \"time_bnds\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "98e8c059-139e-44c5-b362-90b3859ca7ba",
   "metadata": {},
   "outputs": [
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       ".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",
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       "\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",
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
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       ".xr-var-preview {\n",
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       ".xr-index-preview {\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  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",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    analysis_error    (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    mask              (time, lat, lon) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "    time_bnds         (time, bnds) object 1998-01-01 00:00:00 ... 1998-02-01 ...\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-de82b297-066c-4da2-b42b-8531c1abacf0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de82b297-066c-4da2-b42b-8531c1abacf0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span class='xr-has-index'>time</span>: 31</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd4245bf-6d7c-4c72-b8ef-b454735d9f22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd4245bf-6d7c-4c72-b8ef-b454735d9f22' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-d36f3c57-7a49-42b4-bab4-80ac9f15995a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d36f3c57-7a49-42b4-bab4-80ac9f15995a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de647ca2-3ff6-46db-a151-27f8b8c5941a' class='xr-var-data-in' type='checkbox'><label for='data-de647ca2-3ff6-46db-a151-27f8b8c5941a' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-a297624f-1c70-480d-879e-693e6b9ebc8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a297624f-1c70-480d-879e-693e6b9ebc8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef8672be-e359-4f02-bb29-3ca94fde87a9' class='xr-var-data-in' type='checkbox'><label for='data-ef8672be-e359-4f02-bb29-3ca94fde87a9' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 12:00:00 ... 1998-01-...</div><input id='attrs-ba75bd65-b6a1-4af4-bcf4-7601ed8cd831' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba75bd65-b6a1-4af4-bcf4-7601ed8cd831' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c24a3b4c-f14c-4a40-b2e0-4c513e92559c' class='xr-var-data-in' type='checkbox'><label for='data-c24a3b4c-f14c-4a40-b2e0-4c513e92559c' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 3, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 4, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 5, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 6, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 7, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 8, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 9, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 10, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 11, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 12, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 13, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 14, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 15, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 17, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 18, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 19, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 20, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 21, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 22, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 23, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 24, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 25, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 26, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 27, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 28, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9daf769-0eae-4d1b-a1b4-8e829b9ee45c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9daf769-0eae-4d1b-a1b4-8e829b9ee45c' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-59564027-dfd3-4d4d-9a23-7ed641c0ffd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59564027-dfd3-4d4d-9a23-7ed641c0ffd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81b3531b-1f20-4edf-9ee2-c445e0467f3e' class='xr-var-data-in' type='checkbox'><label for='data-81b3531b-1f20-4edf-9ee2-c445e0467f3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysis_error</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-6eb8f1a2-d4f5-40b7-b87b-db1a1313e409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eb8f1a2-d4f5-40b7-b87b-db1a1313e409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c2faf4-884d-4fab-b80c-715c2128bf33' class='xr-var-data-in' type='checkbox'><label for='data-c8c2faf4-884d-4fab-b80c-715c2128bf33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>estimated error standard deviation of analysed_sst</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>coverage_content_type :</span></dt><dd>qualityInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_fraction</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-7b022ed0-f7ae-435a-8158-9e484b8893dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b022ed0-f7ae-435a-8158-9e484b8893dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfd75de0-0e3b-4146-a416-f2b1f71dd7d1' class='xr-var-data-in' type='checkbox'><label for='data-dfd75de0-0e3b-4146-a416-f2b1f71dd7d1' 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>sea_ice_area_fraction</dd><dt><span>long_name :</span></dt><dd>sea ice area fraction</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>100</dd><dt><span>source :</span></dt><dd>EUMETSAT OSI-SAF OSI_450</dd><dt><span>coverage_content_type :</span></dt><dd>auxiliaryInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 122.61 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "  <text x=\"167.322185\" y=\"47.322185\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,167.322185,47.322185)\">720</text>\n",
       "  <text x=\"8.661092\" y=\"88.661092\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.661092,88.661092)\">31</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</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=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-7d655106-758d-4a27-95a2-d3a79a438cbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d655106-758d-4a27-95a2-d3a79a438cbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89c65d88-0da3-471d-9472-3c3bbbbd0bff' class='xr-var-data-in' type='checkbox'><label for='data-89c65d88-0da3-471d-9472-3c3bbbbd0bff' 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>land sea ice lake bit mask</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>127</dd><dt><span>flag_masks :</span></dt><dd>[ 1  2  4  8 16 32 64]</dd><dt><span>flag_meanings :</span></dt><dd>water land optional_lake_surface sea_ice optional_river_surface IR_data MW_data</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "  <text x=\"8.661092\" y=\"88.661092\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.661092,88.661092)\">31</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-626ab859-5ad8-4ace-914c-3f65dfc2b486' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-626ab859-5ad8-4ace-914c-3f65dfc2b486' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f308368-287b-461a-af6a-dc8c1af6e575' class='xr-var-data-in' type='checkbox'><label for='data-3f308368-287b-461a-af6a-dc8c1af6e575' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-338662fe-f80d-4004-878b-18fd355be643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-338662fe-f80d-4004-878b-18fd355be643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bbcdc34-6ef8-4736-9e2b-f1898270e4fc' class='xr-var-data-in' type='checkbox'><label for='data-2bbcdc34-6ef8-4736-9e2b-f1898270e4fc' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00 ... 1998-02-...</div><input id='attrs-4b3111d8-f5a6-4281-a5b0-378f66ec59b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b3111d8-f5a6-4281-a5b0-378f66ec59b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3463ce7e-ac5e-42f1-ae03-128241d49abd' class='xr-var-data-in' type='checkbox'><label for='data-3463ce7e-ac5e-42f1-ae03-128241d49abd' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeGregorian(1998, 1, 1, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 2, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 2, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 3, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 3, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 4, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 4, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 5, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 5, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 6, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 6, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 7, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 7, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 8, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 8, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 9, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 9, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 10, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 10, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 11, 0, 0, 0, 0, has_year_zero=False)],\n",
       "...\n",
       "        cftime.DatetimeGregorian(1998, 1, 23, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 23, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 24, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 24, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 25, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 25, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 26, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 26, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 27, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 27, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 28, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 28, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 29, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 29, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 30, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 30, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 1, 31, 0, 0, 0, 0, has_year_zero=False)],\n",
       "       [cftime.DatetimeGregorian(1998, 1, 31, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 2, 1, 0, 0, 0, 0, has_year_zero=False)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28a1d96b-cd74-442c-a708-1c1d4713a2d3' class='xr-section-summary-in' type='checkbox'  ><label for='section-28a1d96b-cd74-442c-a708-1c1d4713a2d3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3aea5a7-14a7-4d2c-b422-197b1e9f1a00' class='xr-index-data-in' type='checkbox'/><label for='index-d3aea5a7-14a7-4d2c-b422-197b1e9f1a00' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9edec7bc-77e2-4089-a127-38674f03e71e' class='xr-index-data-in' type='checkbox'/><label for='index-9edec7bc-77e2-4089-a127-38674f03e71e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2601c09d-232e-4d33-b383-db41d00c2dd8' class='xr-index-data-in' type='checkbox'/><label for='index-2601c09d-232e-4d33-b383-db41d00c2dd8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-01 12:00:00, 1998-01-02 12:00:00, 1998-01-03 12:00:00,\n",
       "             1998-01-04 12:00:00, 1998-01-05 12:00:00, 1998-01-06 12:00:00,\n",
       "             1998-01-07 12:00:00, 1998-01-08 12:00:00, 1998-01-09 12:00:00,\n",
       "             1998-01-10 12:00:00, 1998-01-11 12:00:00, 1998-01-12 12:00:00,\n",
       "             1998-01-13 12:00:00, 1998-01-14 12:00:00, 1998-01-15 12:00:00,\n",
       "             1998-01-16 12:00:00, 1998-01-17 12:00:00, 1998-01-18 12:00:00,\n",
       "             1998-01-19 12:00:00, 1998-01-20 12:00:00, 1998-01-21 12:00:00,\n",
       "             1998-01-22 12:00:00, 1998-01-23 12:00:00, 1998-01-24 12:00:00,\n",
       "             1998-01-25 12:00:00, 1998-01-26 12:00:00, 1998-01-27 12:00:00,\n",
       "             1998-01-28 12:00:00, 1998-01-29 12:00:00, 1998-01-30 12:00:00,\n",
       "             1998-01-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=31, calendar=&#x27;standard&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-652daa56-e570-4eab-b2e3-f1fa80666a71' class='xr-section-summary-in' type='checkbox'  ><label for='section-652daa56-e570-4eab-b2e3-f1fa80666a71' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (lat: 720, lon: 1440, time: 31, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat               (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon               (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time              (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    analysed_sst      (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    analysis_error    (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    sea_ice_fraction  (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    mask              (time, lat, lon) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    lon_bnds          (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 180.0\n",
       "    lat_bnds          (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 90.0\n",
       "    time_bnds         (time, bnds) object 1998-01-01 00:00:00 ... 1998-02-01 ...\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c21b307f-1b75-4e49-8e6e-eac92960597b",
   "metadata": {},
   "source": [
    "## try xCDAT temporal.group_average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "353de554-372d-4d1a-b30a-2a177bc6cefd",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_monthXc = ds.temporal.group_average(\"analysed_sst\", freq=\"month\", weighted=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "397050dc-7a76-4885-942a-6f6ed305fb11",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (lat: 720, lon: 1440, bnds: 2, time: 1)\n",
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       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (time, lat, lon) float64 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-103627ce-f76b-473a-81b6-54b0e21e660c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-103627ce-f76b-473a-81b6-54b0e21e660c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b13d20a7-c9a8-4778-bc3c-cd81b18ac541' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b13d20a7-c9a8-4778-bc3c-cd81b18ac541' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-0cb61bd3-b953-4330-b8d1-8a87525501c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cb61bd3-b953-4330-b8d1-8a87525501c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f8192f3-8aa0-40c0-848d-ffb21f569816' class='xr-var-data-in' type='checkbox'><label for='data-9f8192f3-8aa0-40c0-848d-ffb21f569816' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-43e7317f-8de5-4452-a7c0-caca8dc88076' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43e7317f-8de5-4452-a7c0-caca8dc88076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5df6fb6-3652-4f76-9a78-a066d53fb6c5' class='xr-var-data-in' type='checkbox'><label for='data-f5df6fb6-3652-4f76-9a78-a066d53fb6c5' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00</div><input id='attrs-e3cefaaa-b0b6-4d90-a1b7-ef4875928db8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3cefaaa-b0b6-4d90-a1b7-ef4875928db8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de97878-e0b4-4daf-b640-ac0f3035d45c' class='xr-var-data-in' type='checkbox'><label for='data-7de97878-e0b4-4daf-b640-ac0f3035d45c' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 1, 0, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ce1460e-c2a5-4edc-add8-90f7c966a6bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ce1460e-c2a5-4edc-add8-90f7c966a6bf' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-df8436b4-329a-4da9-8ea8-a26e00d4e2d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df8436b4-329a-4da9-8ea8-a26e00d4e2d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b98d3244-278d-4f96-992a-906ea5b2808b' class='xr-var-data-in' type='checkbox'><label for='data-b98d3244-278d-4f96-992a-906ea5b2808b' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-8f27d3c4-bb5e-4e21-be75-cb5302eea799' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f27d3c4-bb5e-4e21-be75-cb5302eea799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d4ac10d-0298-452a-a402-5c9ffb3b68d2' class='xr-var-data-in' type='checkbox'><label for='data-1d4ac10d-0298-452a-a402-5c9ffb3b68d2' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-8760661e-c8ba-482a-8ee6-4bda26fc931d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8760661e-c8ba-482a-8ee6-4bda26fc931d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da40d39d-d454-4508-8e17-8cd06ad74a1c' class='xr-var-data-in' type='checkbox'><label for='data-da40d39d-d454-4508-8e17-8cd06ad74a1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>month</dd><dt><span>weighted :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 7.91 MiB </td>\n",
       "                        <td> 7.91 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 85 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"194\" height=\"124\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,74.9485979497544 10.0,60.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Colored Rectangle -->\n",
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       "\n",
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       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,74.9485979497544 24.9485979497544,74.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"94.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
       "  <text x=\"164.948598\" y=\"44.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,44.948598)\">720</text>\n",
       "  <text x=\"7.474299\" y=\"87.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.474299)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f928526-a68f-4117-9505-470ad66e5bcf' class='xr-section-summary-in' type='checkbox'  ><label for='section-6f928526-a68f-4117-9505-470ad66e5bcf' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4705e9b8-be70-4049-940a-28b9b12dce6e' class='xr-index-data-in' type='checkbox'/><label for='index-4705e9b8-be70-4049-940a-28b9b12dce6e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ade2a2a-dc96-43dd-bc18-48d7dcbc9a32' class='xr-index-data-in' type='checkbox'/><label for='index-5ade2a2a-dc96-43dd-bc18-48d7dcbc9a32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51cfb667-4ef1-4c5c-913b-cbf59fc63939' class='xr-index-data-in' type='checkbox'/><label for='index-51cfb667-4ef1-4c5c-913b-cbf59fc63939' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-01 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1, calendar=&#x27;standard&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31ec1728-dcf5-447a-855b-564f0d78673a' class='xr-section-summary-in' type='checkbox'  ><label for='section-31ec1728-dcf5-447a-855b-564f0d78673a' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (lat: 720, lon: 1440, bnds: 2, time: 1)\n",
       "Coordinates:\n",
       "  * lat           (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon           (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time          (time) object 1998-01-01 00:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (time, lat, lon) float64 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_monthXc\n",
    "# loses bounds\n",
    "# time should be 1998-1-16 12:00, but is rather 1998-1-1 00:00"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cd4978fe-0327-4e65-87b2-5b568b683236",
   "metadata": {},
   "outputs": [],
   "source": [
    "#mean_monthXc2 = mean_monthXc.bounds.add_time_bounds(method=\"freq\", freq=\"month\")\n",
    "# reassigning bounds fails due to \n",
    "# ValueError: Cannot generate bounds for coordinate variable 'time' which has a length <= 1 (singleton)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "934c3971-f0ea-4edf-9ea6-42bc5d074431",
   "metadata": {},
   "source": [
    "## correct xCDAT temporal.group_average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "24973535-9113-4a85-afe4-138f4c2fa4ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n",
      "(1, 2)\n"
     ]
    },
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       "Dimensions:       (lat: 720, lon: 1440, bnds: 2, time: 1)\n",
       "Coordinates:\n",
       "  * lat           (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon           (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time          (time) object 1998-01-16 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (time, lat, lon) float64 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
       "    time_bnds     (time, bnds) object 1998-01-01 00:00:00 1998-02-01 00:00:00\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2bf8af00-5e1b-4fcf-9193-f34e806b355b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2bf8af00-5e1b-4fcf-9193-f34e806b355b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-47963bb1-a9cf-410a-95df-2a48fbad3ab9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47963bb1-a9cf-410a-95df-2a48fbad3ab9' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-ef8bbd82-10ed-4fb2-9492-cf186e18329d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8bbd82-10ed-4fb2-9492-cf186e18329d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de00e9cb-9af5-4e68-af6d-4e0f96a55cb9' class='xr-var-data-in' type='checkbox'><label for='data-de00e9cb-9af5-4e68-af6d-4e0f96a55cb9' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-d41146e3-96a7-4133-b073-83222007e10f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d41146e3-96a7-4133-b073-83222007e10f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dda58f6-513d-4721-8061-67409630228b' class='xr-var-data-in' type='checkbox'><label for='data-6dda58f6-513d-4721-8061-67409630228b' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-16 12:00:00</div><input id='attrs-0ea42041-f1e6-4bf2-848e-647f749b71b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ea42041-f1e6-4bf2-848e-647f749b71b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-884367cf-9da6-4fae-b0d1-0111fa8513b7' class='xr-var-data-in' type='checkbox'><label for='data-884367cf-9da6-4fae-b0d1-0111fa8513b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5249ddf8-ed93-4119-b9bf-936577f4e463' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5249ddf8-ed93-4119-b9bf-936577f4e463' 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'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-18acd696-2b3d-4cd9-a9e8-c5068d5288f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18acd696-2b3d-4cd9-a9e8-c5068d5288f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30b3ec31-b84c-4c68-9adf-5ebfb7c6331a' class='xr-var-data-in' type='checkbox'><label for='data-30b3ec31-b84c-4c68-9adf-5ebfb7c6331a' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-11d3b4e4-c666-4173-890e-4534ef497162' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11d3b4e4-c666-4173-890e-4534ef497162' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad8a046c-74f0-4042-b8d6-49eb0a61ff32' class='xr-var-data-in' type='checkbox'><label for='data-ad8a046c-74f0-4042-b8d6-49eb0a61ff32' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-ce7cabb0-d53b-4013-8f89-bc63b37084e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce7cabb0-d53b-4013-8f89-bc63b37084e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1ed15de-9855-45b7-819c-2efc5e1181a5' class='xr-var-data-in' type='checkbox'><label for='data-e1ed15de-9855-45b7-819c-2efc5e1181a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>month</dd><dt><span>weighted :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 7.91 MiB </td>\n",
       "                        <td> 7.91 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 85 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"194\" height=\"124\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,74.9485979497544 10.0,60.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"74\" x2=\"144\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"74\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,74.9485979497544 24.9485979497544,74.9485979497544\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"94.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
       "  <text x=\"164.948598\" y=\"44.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,44.948598)\">720</text>\n",
       "  <text x=\"7.474299\" y=\"87.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.474299)\">1</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'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00 1998-02-01 0...</div><input id='attrs-8d725169-b96d-49b6-ade6-e04238e5912f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d725169-b96d-49b6-ade6-e04238e5912f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6114614-bcee-478f-8c79-b548a1cc6779' class='xr-var-data-in' type='checkbox'><label for='data-f6114614-bcee-478f-8c79-b548a1cc6779' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeGregorian(1998, 1, 1, 0, 0, 0, 0, has_year_zero=False),\n",
       "        cftime.DatetimeGregorian(1998, 2, 1, 0, 0, 0, 0, has_year_zero=False)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-147ac510-1ff9-443c-9fbe-d0ba056fbe49' class='xr-section-summary-in' type='checkbox'  ><label for='section-147ac510-1ff9-443c-9fbe-d0ba056fbe49' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb4f0c41-2fce-4447-8078-e92557d035e2' class='xr-index-data-in' type='checkbox'/><label for='index-eb4f0c41-2fce-4447-8078-e92557d035e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8b26d522-07e6-4f7f-94b8-754b61654632' class='xr-index-data-in' type='checkbox'/><label for='index-8b26d522-07e6-4f7f-94b8-754b61654632' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3b34485-3b9b-4f38-b7cd-fc353875f267' class='xr-index-data-in' type='checkbox'/><label for='index-f3b34485-3b9b-4f38-b7cd-fc353875f267' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-16 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1, calendar=&#x27;standard&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5be9e5ad-9d49-40e1-8f09-c1435459e4b6' class='xr-section-summary-in' type='checkbox'  ><label for='section-5be9e5ad-9d49-40e1-8f09-c1435459e4b6' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (lat: 720, lon: 1440, bnds: 2, time: 1)\n",
       "Coordinates:\n",
       "  * lat           (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon           (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "  * time          (time) object 1998-01-16 12:00:00\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (time, lat, lon) float64 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
       "    time_bnds     (time, bnds) object 1998-01-01 00:00:00 1998-02-01 00:00:00\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#mean_monthXc.time\n",
    "# update new time value\n",
    "mean_monthXc.variables[\"time\"]\n",
    "newTime = [cft.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False)]\n",
    "mean_monthXc.update({\"time\": (\"time\", newTime)})\n",
    "# assign new time_bnds variable\n",
    "newTimeBoundVals = np.array([[cft.DatetimeGregorian(1998, 1, 1, 0, 0, 0, 0, has_year_zero=False),\n",
    "                 cft.DatetimeGregorian(1998, 2, 1, 0, 0, 0, 0, has_year_zero=False)]])\n",
    "print(type(newTimeBoundVals))\n",
    "print(newTimeBoundVals.shape)\n",
    "newTimeBounds = xr.Dataset({\"time_bnds\": ((\"time\", \"bnds\"), newTimeBoundVals)})\n",
    "#newTimeBounds\n",
    "mean_monthXc.assign(newTimeBounds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34e45c9d-dd32-493b-9448-b56ae64ee699",
   "metadata": {},
   "source": [
    "## try xCDAT temporal.average"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "50c5b8c1-75c0-4ef9-a58e-3c6fdec2763e",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_monthXc2 = ds.temporal.average(\"analysed_sst\", weighted=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2e745fc2-948f-405e-ac82-e5d5a6a2fbc2",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (lat: 720, lon: 1440, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat           (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon           (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (lat, lon) float64 dask.array&lt;chunksize=(720, 1440), meta=np.ndarray&gt;\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b3d06731-9a9f-40c4-be99-32de3c8acd30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b3d06731-9a9f-40c4-be99-32de3c8acd30' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li><li><span>bnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5846d5f0-3c98-45f8-8461-e26f9410dbf7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5846d5f0-3c98-45f8-8461-e26f9410dbf7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-de0223fe-cc75-4e54-a76e-6a8d8f532b3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de0223fe-cc75-4e54-a76e-6a8d8f532b3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dded3c60-bd8f-45f3-85b1-a81fa1736f69' class='xr-var-data-in' type='checkbox'><label for='data-dded3c60-bd8f-45f3-85b1-a81fa1736f69' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-3434838f-901c-42dc-8861-b0ca3212caed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3434838f-901c-42dc-8861-b0ca3212caed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7319c10c-d76a-41d6-81f5-f98a673bf671' class='xr-var-data-in' type='checkbox'><label for='data-7319c10c-d76a-41d6-81f5-f98a673bf671' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e1ee164-17c8-4074-8ec9-3931ba96bb30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e1ee164-17c8-4074-8ec9-3931ba96bb30' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.8 180.0</div><input id='attrs-158a597a-7dbf-4775-9ce6-6c88fea0a198' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-158a597a-7dbf-4775-9ce6-6c88fea0a198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ecb568-e995-4540-af85-808e9dc7ddc9' class='xr-var-data-in' type='checkbox'><label for='data-d2ecb568-e995-4540-af85-808e9dc7ddc9' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-180.  , -179.75],\n",
       "       [-179.75, -179.5 ],\n",
       "       [-179.5 , -179.25],\n",
       "       ...,\n",
       "       [ 179.25,  179.5 ],\n",
       "       [ 179.5 ,  179.75],\n",
       "       [ 179.75,  180.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.75 -89.75 ... 89.75 90.0</div><input id='attrs-b5de1ce3-ea5e-4be6-af01-8c5267aaa4f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5de1ce3-ea5e-4be6-af01-8c5267aaa4f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd958a16-c2e8-4493-8c26-12202b16bbc3' class='xr-var-data-in' type='checkbox'><label for='data-cd958a16-c2e8-4493-8c26-12202b16bbc3' 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>xcdat_bounds :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[-90.  , -89.75],\n",
       "       [-89.75, -89.5 ],\n",
       "       [-89.5 , -89.25],\n",
       "       ...,\n",
       "       [ 89.25,  89.5 ],\n",
       "       [ 89.5 ,  89.75],\n",
       "       [ 89.75,  90.  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>analysed_sst</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(720, 1440), meta=np.ndarray&gt;</div><input id='attrs-47bf8182-c43a-4629-90ed-d09d84ba57f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47bf8182-c43a-4629-90ed-d09d84ba57f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c1b3ad-6f8d-4dec-afb2-387612d1bd82' class='xr-var-data-in' type='checkbox'><label for='data-00c1b3ad-6f8d-4dec-afb2-387612d1bd82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>average</dd><dt><span>freq :</span></dt><dd>day</dd><dt><span>weighted :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 7.91 MiB </td>\n",
       "                        <td> 7.91 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (720, 1440) </td>\n",
       "                        <td> (720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 81 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,60.0 0.0,60.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"80.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
       "  <text x=\"140.000000\" y=\"30.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,30.000000)\">720</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1e2b0fa-0f9c-41a0-a4d0-49d6247dc4c8' class='xr-section-summary-in' type='checkbox'  ><label for='section-c1e2b0fa-0f9c-41a0-a4d0-49d6247dc4c8' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b4fd2b6-0f1d-418c-9718-dfe966c38bb0' class='xr-index-data-in' type='checkbox'/><label for='index-6b4fd2b6-0f1d-418c-9718-dfe966c38bb0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94b1102a-7793-4500-a6c0-9e5f1f7eec6f' class='xr-index-data-in' type='checkbox'/><label for='index-94b1102a-7793-4500-a6c0-9e5f1f7eec6f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c91e262-450c-44cf-85f9-b370ec58718f' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c91e262-450c-44cf-85f9-b370ec58718f' class='xr-section-summary' >Attributes: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.8,ACDD-1.3</dd><dt><span>title :</span></dt><dd>Analysed foundation sea surface temperature over the global ocean</dd><dt><span>summary :</span></dt><dd>A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>references :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>institution :</span></dt><dd>REMSS</dd><dt><span>history :</span></dt><dd>2021-11-11 18:18:15+0000 created by sst_fusion_proc v0.1\n",
       "2022-02-01 22:16:03-0800 updated metadata</dd><dt><span>comment :</span></dt><dd>This research was supported by the NASA Physical Oceanography Program</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>id :</span></dt><dd>MW_OI-REMSS-L4-GLOB-v5.1</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>product_version :</span></dt><dd>v05.1</dd><dt><span>uuid :</span></dt><dd>84b68600-dee0-491c-9b6c-c4e291ec0ef9</dd><dt><span>gds_version_id :</span></dt><dd>2.0</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4</dd><dt><span>date_created :</span></dt><dd>20211111T181815Z</dd><dt><span>file_quality_level :</span></dt><dd>3</dd><dt><span>spatial_resolution :</span></dt><dd>25 km</dd><dt><span>start_time :</span></dt><dd>19980101T000000Z</dd><dt><span>time_coverage_start :</span></dt><dd>19980101T000000Z</dd><dt><span>stop_time :</span></dt><dd>19980101T235959Z</dd><dt><span>time_coverage_end :</span></dt><dd>19980101T235959Z</dd><dt><span>northernmost_latitude :</span></dt><dd>90.0</dd><dt><span>southernmost_latitude :</span></dt><dd>-90.0</dd><dt><span>easternmost_longitude :</span></dt><dd>180.0</dd><dt><span>westernmost_longitude :</span></dt><dd>-180.0</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>platform :</span></dt><dd>TRMM</dd><dt><span>sensor :</span></dt><dd>TMI</dd><dt><span>metadata_link :</span></dt><dd>https://cmr.earthdata.nasa.gov/search/concepts/C2205105895-POCLOUD</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Convention</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.25</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.25</dd><dt><span>acknowledgment :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description</dd><dt><span>creator_name :</span></dt><dd>Remote Sensing Systems</dd><dt><span>creator_email :</span></dt><dd>support@remss.com</dd><dt><span>creator_url :</span></dt><dd>http://www.remss.com</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (lat: 720, lon: 1440, bnds: 2)\n",
       "Coordinates:\n",
       "  * lat           (lat) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
       "  * lon           (lon) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    lon_bnds      (lon, bnds) float32 -180.0 -179.8 -179.8 ... 179.8 179.8 180.0\n",
       "    lat_bnds      (lat, bnds) float32 -90.0 -89.75 -89.75 ... 89.75 89.75 90.0\n",
       "    analysed_sst  (lat, lon) float64 dask.array<chunksize=(720, 1440), meta=np.ndarray>\n",
       "Attributes: (12/46)\n",
       "    Conventions:                CF-1.8,ACDD-1.3\n",
       "    title:                      Analysed foundation sea surface temperature o...\n",
       "    summary:                    A merged, multi-sensor L4 foundation SST prod...\n",
       "    references:                 http://www.remss.com/measurements/sea-surface...\n",
       "    institution:                REMSS\n",
       "    history:                    2021-11-11 18:18:15+0000 created by sst_fusio...\n",
       "    ...                         ...\n",
       "    project:                    Group for High Resolution Sea Surface Tempera...\n",
       "    publisher_name:             The GHRSST Project Office\n",
       "    publisher_email:            ghrsst-po@nceo.ac.uk\n",
       "    publisher_url:              http://www.ghrsst.org\n",
       "    processing_level:           L4\n",
       "    cdm_data_type:              grid"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_monthXc2\n",
    "# loses time dimension altogether"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "837ee7f4-ea72-4305-91a9-8775fa3d481a",
   "metadata": {},
   "source": [
    "# xarray reads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ec380844-00b7-4f0b-b817-213c47373db7",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_monthXr = ds.analysed_sst.resample(time='ME').mean()\n",
    "# https://stackoverflow.com/questions/50564459/using-xarray-to-make-monthly-average"
   ]
  },
  {
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   "execution_count": 25,
   "id": "9b5c29d7-d890-48cb-8ad7-1bd97769fc85",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;analysed_sst&#x27; (time: 1, lat: 720, lon: 1440)&gt;\n",
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       "    valid_min:              -32767\n",
       "    valid_max:              32767\n",
       "    source:                 REMSS-L3C-TMI\n",
       "    coverage_content_type:  physicalMeasurement</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'analysed_sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a0be6f45-973e-430b-ba3c-f59319aa0577' class='xr-array-in' type='checkbox' checked><label for='section-a0be6f45-973e-430b-ba3c-f59319aa0577' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-1017187a-8c47-4371-8138-2913edc4da76' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1017187a-8c47-4371-8138-2913edc4da76' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-019a5947-d45a-4f1d-b5a5-81ab8676f2b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-019a5947-d45a-4f1d-b5a5-81ab8676f2b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb050485-d0c5-4939-a363-cd4d34a994a3' class='xr-var-data-in' type='checkbox'><label for='data-bb050485-d0c5-4939-a363-cd4d34a994a3' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-c493a128-7cf0-447a-9ff2-042e1c374678' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c493a128-7cf0-447a-9ff2-042e1c374678' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f9b47e-ad48-4498-9464-04624389f185' class='xr-var-data-in' type='checkbox'><label for='data-04f9b47e-ad48-4498-9464-04624389f185' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-31 00:00:00</div><input id='attrs-cfd527f1-a56c-4f72-949e-246e37d70d4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd527f1-a56c-4f72-949e-246e37d70d4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63992411-963f-450b-8676-c65189105301' class='xr-var-data-in' type='checkbox'><label for='data-63992411-963f-450b-8676-c65189105301' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 31, 0, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c593c055-3fe8-4ed1-8907-5e0b9915eca3' class='xr-section-summary-in' type='checkbox'  ><label for='section-c593c055-3fe8-4ed1-8907-5e0b9915eca3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-85e04985-586c-411b-a12a-4fdaff49801f' class='xr-index-data-in' type='checkbox'/><label for='index-85e04985-586c-411b-a12a-4fdaff49801f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-66ce731b-37dc-46c6-ba53-47aef6581eb7' class='xr-index-data-in' type='checkbox'/><label for='index-66ce731b-37dc-46c6-ba53-47aef6581eb7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2df9176e-0b48-4d37-8db0-505e56a310e6' class='xr-index-data-in' type='checkbox'/><label for='index-2df9176e-0b48-4d37-8db0-505e56a310e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-31 00:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=1, calendar=&#x27;standard&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8ad30e1-549b-4993-b1b1-79f59677df50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8ad30e1-549b-4993-b1b1-79f59677df50' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'analysed_sst' (time: 1, lat: 720, lon: 1440)>\n",
       "dask.array<stack, shape=(1, 720, 1440), dtype=float32, chunksize=(1, 720, 1440), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "  * time     (time) object 1998-01-31 00:00:00\n",
       "Attributes:\n",
       "    units:                  K\n",
       "    long_name:              analysed sea surface temperature\n",
       "    standard_name:          sea_surface_foundation_temperature\n",
       "    valid_min:              -32767\n",
       "    valid_max:              32767\n",
       "    source:                 REMSS-L3C-TMI\n",
       "    coverage_content_type:  physicalMeasurement"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_monthXr\n",
    "# time should be 1998-1-16 12:00, but is rather 1998-1-31 00:00"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0571e89b-e35c-40b9-9cc4-2ec5eca10147",
   "metadata": {},
   "outputs": [
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       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;analysed_sst&#x27; (time: 31, lat: 720, lon: 1440)&gt;\n",
       "dask.array&lt;concatenate, shape=(31, 720, 1440), dtype=float32, chunksize=(1, 720, 1440), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "  * time     (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Attributes:\n",
       "    units:                  K\n",
       "    long_name:              analysed sea surface temperature\n",
       "    standard_name:          sea_surface_foundation_temperature\n",
       "    valid_min:              -32767\n",
       "    valid_max:              32767\n",
       "    source:                 REMSS-L3C-TMI\n",
       "    coverage_content_type:  physicalMeasurement</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'analysed_sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 31</li><li><span class='xr-has-index'>lat</span>: 720</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7660c436-a797-49b4-8a32-d99f506e4c9f' class='xr-array-in' type='checkbox' checked><label for='section-7660c436-a797-49b4-8a32-d99f506e4c9f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\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> 122.61 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (31, 720, 1440) </td>\n",
       "                        <td> (1, 720, 1440) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 31 chunks in 63 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"197\" height=\"127\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"147\" y2=\"17\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"77\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"87.322185\" y=\"97.322185\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1440</text>\n",
       "  <text x=\"167.322185\" y=\"47.322185\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,167.322185,47.322185)\">720</text>\n",
       "  <text x=\"8.661092\" y=\"88.661092\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.661092,88.661092)\">31</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-1119ddc9-1600-4223-ac7f-4481b3ab6633' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1119ddc9-1600-4223-ac7f-4481b3ab6633' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-fedb3830-446c-4ff8-85ad-affd2b1c27ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fedb3830-446c-4ff8-85ad-affd2b1c27ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-998fb072-3e40-448e-96cd-f9600b99a550' class='xr-var-data-in' type='checkbox'><label for='data-998fb072-3e40-448e-96cd-f9600b99a550' 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>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-6f322abc-0803-41cc-8ab9-695038f31641' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f322abc-0803-41cc-8ab9-695038f31641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3970f16f-af64-4446-b6eb-dbaa2c076f98' class='xr-var-data-in' type='checkbox'><label for='data-3970f16f-af64-4446-b6eb-dbaa2c076f98' 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>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>geographical coordinates, WGS84 datum</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 12:00:00 ... 1998-01-...</div><input id='attrs-3816194a-fe38-414f-961c-e7b6a9144f5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3816194a-fe38-414f-961c-e7b6a9144f5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d0569e6-2b13-4580-b314-8ee7239809cc' class='xr-var-data-in' type='checkbox'><label for='data-8d0569e6-2b13-4580-b314-8ee7239809cc' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>nominal time of L4 analysis</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd><dt><span>calendar :</span></dt><dd>standard</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1998, 1, 1, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 2, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 3, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 4, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 5, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 6, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 7, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 8, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 9, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 10, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 11, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 12, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 13, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 14, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 15, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 16, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 17, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 18, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 19, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 20, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 21, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 22, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 23, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 24, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 25, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 26, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 27, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 28, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 29, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 30, 12, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1998, 1, 31, 12, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2630747b-2baa-4963-b086-2b098156a2d0' class='xr-section-summary-in' type='checkbox'  ><label for='section-2630747b-2baa-4963-b086-2b098156a2d0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8444b086-f239-49c0-b530-49fa97c1c597' class='xr-index-data-in' type='checkbox'/><label for='index-8444b086-f239-49c0-b530-49fa97c1c597' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,\n",
       "       -87.875, -87.625,\n",
       "       ...\n",
       "        87.625,  87.875,  88.125,  88.375,  88.625,  88.875,  89.125,  89.375,\n",
       "        89.625,  89.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dfdf7825-1dc0-4772-b397-4300bdfc9260' class='xr-index-data-in' type='checkbox'/><label for='index-dfdf7825-1dc0-4772-b397-4300bdfc9260' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.875, -179.625, -179.375, -179.125, -178.875, -178.625, -178.375,\n",
       "       -178.125, -177.875, -177.625,\n",
       "       ...\n",
       "        177.625,  177.875,  178.125,  178.375,  178.625,  178.875,  179.125,\n",
       "        179.375,  179.625,  179.875],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d18555d-f8b0-420e-a036-95cb347f738c' class='xr-index-data-in' type='checkbox'/><label for='index-9d18555d-f8b0-420e-a036-95cb347f738c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1998-01-01 12:00:00, 1998-01-02 12:00:00, 1998-01-03 12:00:00,\n",
       "             1998-01-04 12:00:00, 1998-01-05 12:00:00, 1998-01-06 12:00:00,\n",
       "             1998-01-07 12:00:00, 1998-01-08 12:00:00, 1998-01-09 12:00:00,\n",
       "             1998-01-10 12:00:00, 1998-01-11 12:00:00, 1998-01-12 12:00:00,\n",
       "             1998-01-13 12:00:00, 1998-01-14 12:00:00, 1998-01-15 12:00:00,\n",
       "             1998-01-16 12:00:00, 1998-01-17 12:00:00, 1998-01-18 12:00:00,\n",
       "             1998-01-19 12:00:00, 1998-01-20 12:00:00, 1998-01-21 12:00:00,\n",
       "             1998-01-22 12:00:00, 1998-01-23 12:00:00, 1998-01-24 12:00:00,\n",
       "             1998-01-25 12:00:00, 1998-01-26 12:00:00, 1998-01-27 12:00:00,\n",
       "             1998-01-28 12:00:00, 1998-01-29 12:00:00, 1998-01-30 12:00:00,\n",
       "             1998-01-31 12:00:00],\n",
       "            dtype=&#x27;object&#x27;, length=31, calendar=&#x27;standard&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a89e0af7-e9b0-4329-9eea-f15b40a91710' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a89e0af7-e9b0-4329-9eea-f15b40a91710' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>analysed sea surface temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_foundation_temperature</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>source :</span></dt><dd>REMSS-L3C-TMI</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'analysed_sst' (time: 31, lat: 720, lon: 1440)>\n",
       "dask.array<concatenate, shape=(31, 720, 1440), dtype=float32, chunksize=(1, 720, 1440), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.88 -89.62 -89.38 -89.12 ... 89.38 89.62 89.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "  * time     (time) object 1998-01-01 12:00:00 ... 1998-01-31 12:00:00\n",
       "Attributes:\n",
       "    units:                  K\n",
       "    long_name:              analysed sea surface temperature\n",
       "    standard_name:          sea_surface_foundation_temperature\n",
       "    valid_min:              -32767\n",
       "    valid_max:              32767\n",
       "    source:                 REMSS-L3C-TMI\n",
       "    coverage_content_type:  physicalMeasurement"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.analysed_sst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "941af5a6-00fd-40e8-aa6d-5fd80fcaaae4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "INSTALLED VERSIONS\n",
      "------------------\n",
      "commit: None\n",
      "python: 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:36:39) [GCC 12.3.0]\n",
      "python-bits: 64\n",
      "OS: Linux\n",
      "OS-release: 3.10.0-1160.90.1.el7.x86_64\n",
      "machine: x86_64\n",
      "processor: x86_64\n",
      "byteorder: little\n",
      "LC_ALL: en_US.UTF-8\n",
      "LANG: en_US.UTF-8\n",
      "LOCALE: ('en_US', 'UTF-8')\n",
      "libhdf5: 1.14.3\n",
      "libnetcdf: 4.9.2\n",
      "\n",
      "xarray: 2023.12.0\n",
      "pandas: 2.1.4\n",
      "numpy: 1.26.3\n",
      "scipy: 1.11.4\n",
      "netCDF4: 1.6.5\n",
      "pydap: None\n",
      "h5netcdf: None\n",
      "h5py: None\n",
      "Nio: None\n",
      "zarr: None\n",
      "cftime: 1.6.3\n",
      "nc_time_axis: None\n",
      "iris: None\n",
      "bottleneck: 1.3.7\n",
      "dask: 2023.12.1\n",
      "distributed: 2023.12.1\n",
      "matplotlib: 3.8.2\n",
      "cartopy: 0.22.0\n",
      "seaborn: None\n",
      "numbagg: None\n",
      "fsspec: 2023.12.2\n",
      "cupy: None\n",
      "pint: None\n",
      "sparse: 0.15.1\n",
      "flox: None\n",
      "numpy_groupies: None\n",
      "setuptools: 69.0.3\n",
      "pip: 23.3.2\n",
      "conda: None\n",
      "pytest: None\n",
      "mypy: None\n",
      "IPython: 8.20.0\n",
      "sphinx: None\n"
     ]
    }
   ],
   "source": [
    "xr.show_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5066d2ca-6284-449f-856b-4cae3633c019",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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