test_AMPS_read_appended.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AMPS to Zarr \n",
    "\n",
    "The Plan (outline)\n",
    "- read in (some, many?) NetCDF files\n",
    "- strip unneccessary variables\n",
    "- squeeze time dimension from non-varying 2D fields\n",
    "- write (and later append) to zarr in GCS\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from glob import glob\n",
    "import os\n",
    "\n",
    "import gcsfs\n",
    "from tqdm import tqdm\n",
    "# from tqdm.autonotebook import tqdm\n",
    "import fsspec\n",
    "\n",
    "import xarray as xr\n",
    "\n",
    "xr.set_options(display_style=\"html\");\n",
    "# xr.show_versions()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### setup runtime parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gs://ldeo-glaciology/AMPS/WRF_24/domain_03/wrfout_d03_20190930*\n"
     ]
    }
   ],
   "source": [
    "gcsdir = 'gs://ldeo-glaciology'\n",
    "ampsdir = 'AMPS'\n",
    "amps_ver = 'WRF_24'\n",
    "\n",
    "# domain = 'domain_02'\n",
    "# filepattern = 'wrfout_d02_20191231*'\n",
    "# pattern = os.path.join(gcsdir, ampsdir, amps_ver, domain, filepattern)\n",
    "# print(pattern)\n",
    "\n",
    "domain = 'domain_03'\n",
    "filepattern = 'wrfout_d03_20190930*'\n",
    "pattern = os.path.join(gcsdir, ampsdir, amps_ver, domain, filepattern)\n",
    "print(pattern)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### list the netcdf files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fs = gcsfs.GCSFileSystem(project='ldeo-glaciology', mode='ab', cache_timeout = 0)\n",
    "fs = gcsfs.GCSFileSystem(project='pangeo-integration-te-3eea', mode='ab', cache_timeout = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 8 wrf files.\n",
      "\n",
      "ldeo-glaciology/AMPS/WRF_24/domain_03/wrfout_d03_2019093000_f003.nc\n"
     ]
    }
   ],
   "source": [
    "NCs = fs.glob(pattern)\n",
    "print(f\"Total of {len(NCs)} wrf files.\\n\")\n",
    "print(NCs[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a single URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "openfile = fs.open(f'gs://{NCs[0]}', mode='rb') \n",
    "ds = xr.open_dataset(openfile, engine='h5netcdf', chunks={'south_north': -1, 'west_east': -1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'xarray.core.dataset.Dataset'>\n",
      "((1,), (1035,), (675,))\n",
      "Coordinates:\n",
      "    XLAT     (Time, south_north, west_east) float32 dask.array<chunksize=(1, 1035, 675), meta=np.ndarray>\n",
      "    XLONG    (Time, south_north, west_east) float32 dask.array<chunksize=(1, 1035, 675), meta=np.ndarray>\n",
      "    XTIME    (Time) datetime64[ns] dask.array<chunksize=(1,), meta=np.ndarray>\n",
      "    XLAT_U   (Time, south_north, west_east_stag) float32 dask.array<chunksize=(1, 1035, 676), meta=np.ndarray>\n",
      "    XLONG_U  (Time, south_north, west_east_stag) float32 dask.array<chunksize=(1, 1035, 676), meta=np.ndarray>\n",
      "    XLAT_V   (Time, south_north_stag, west_east) float32 dask.array<chunksize=(1, 1036, 675), meta=np.ndarray>\n",
      "    XLONG_V  (Time, south_north_stag, west_east) float32 dask.array<chunksize=(1, 1036, 675), meta=np.ndarray>\n"
     ]
    }
   ],
   "source": [
    "print(type(ds))\n",
    "print(ds.T2.chunks)\n",
    "\n",
    "print(ds.coords)\n",
    "\n",
    "# # ds.T2.mean().compute()\n",
    "# # ds.T2.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f8d526d8090>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.GLW.mean(dim='Time').plot()\n",
    "# ds.U.nbytes/1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/test_JK.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/test_JK2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/test_JK3.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_JK.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_appendingTest.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_appendingTest2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_appendingTest3.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_appendingTest4.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2D_rechunked_appendingTest5.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test5.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test6.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_1time.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v10-2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v10.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v11.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v3.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v4.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v5.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v6.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v7.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v8.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_2Donly_test_XTIME_v9.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_3D_test_1time.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_3D_test_1time_v2.zarr',\n",
       " 'ldeo-glaciology/AMPS/WRF_24/domain_03/zarr-raw/wrfout_d03_201909_3D_test_1time_v3.zarr']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outdir = os.path.join(gcsdir, ampsdir, amps_ver, domain, 'zarr-raw/')\n",
    "# fs.glob(outdir)\n",
    "fs.ls(outdir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "with open('secrets/ldeo-glaciology-bc97b12df06b.json') as token_file:\n",
    "    token = json.load(token_file)\n",
    "# gcs = gcsfs.GCSFileSystem(token=token)\n",
    "\n",
    "amps_mapper = fsspec.get_mapper(outdir + 'wrfout_d03_201909_2Donly_test_XTIME_v11.zarr', mode='ab',\n",
    "                            token=token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "# ds.to_zarr(amps_mapper, mode='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CPU times: user 6.48 s, sys: 594 ms, total: 7.07 s\n",
    "Wall time: 8min 56s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "AMPS_gsc_combined = xr.open_dataset(amps_mapper, engine='zarr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (XTIME: 16, south_north: 1035, west_east: 675)\n",
       "Coordinates:\n",
       "    XLAT      (XTIME, south_north, west_east) float32 ...\n",
       "    XLONG     (XTIME, south_north, west_east) float32 ...\n",
       "  * XTIME     (XTIME) datetime64[ns] 2019-09-30T03:00:00 ... 2019-10-02\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Data variables: (12/23)\n",
       "    ACSNOM    (XTIME, south_north, west_east) float32 ...\n",
       "    GLW       (XTIME, south_north, west_east) float32 ...\n",
       "    HFX       (XTIME, south_north, west_east) float32 ...\n",
       "    HGT       (XTIME, south_north, west_east) float32 ...\n",
       "    LANDMASK  (XTIME, south_north, west_east) float32 ...\n",
       "    LH        (XTIME, south_north, west_east) float32 ...\n",
       "    ...        ...\n",
       "    SSTSK     (XTIME, south_north, west_east) float32 ...\n",
       "    SWDOWN    (XTIME, south_north, west_east) float32 ...\n",
       "    T2        (XTIME, south_north, west_east) float32 ...\n",
       "    TSK       (XTIME, south_north, west_east) float32 ...\n",
       "    U10       (XTIME, south_north, west_east) float32 ...\n",
       "    V10       (XTIME, south_north, west_east) float32 ...\n",
       "Attributes: (12/122)\n",
       "    ADAPT_DT_MAX:                    17.0\n",
       "    ADAPT_DT_MIN:                    8.0\n",
       "    ADAPT_DT_START:                  9.0\n",
       "    AER_ANGEXP_OPT:                  1\n",
       "    AER_ANGEXP_VAL:                  1.2999999523162842\n",
       "    AER_AOD550_OPT:                  1\n",
       "    ...                              ...\n",
       "    WEST-EAST_PATCH_END_STAG:        676\n",
       "    WEST-EAST_PATCH_END_UNSTAG:      675\n",
       "    WEST-EAST_PATCH_START_STAG:      1\n",
       "    WEST-EAST_PATCH_START_UNSTAG:    1\n",
       "    W_DAMPING:                       1\n",
       "    YSU_TOPDOWN_PBLMIX:              0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3c0d648d-9b37-4323-a0a4-b2e4ab7eb2cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c0d648d-9b37-4323-a0a4-b2e4ab7eb2cf' 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'>XTIME</span>: 16</li><li><span>south_north</span>: 1035</li><li><span>west_east</span>: 675</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-72805675-0f0f-4100-926a-b0eda508fb67' class='xr-section-summary-in' type='checkbox'  checked><label for='section-72805675-0f0f-4100-926a-b0eda508fb67' 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>XLAT</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0cb6478-0fa9-4a25-a645-e474141fe935' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0cb6478-0fa9-4a25-a645-e474141fe935' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18b934ef-28be-4b23-a068-470e0f2bb4d5' class='xr-var-data-in' type='checkbox'><label for='data-18b934ef-28be-4b23-a068-470e0f2bb4d5' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>LATITUDE, SOUTH IS NEGATIVE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XLONG</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-996be428-744f-4e97-a77c-200aeb69d437' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-996be428-744f-4e97-a77c-200aeb69d437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b98db67-d995-4278-851a-dddf03b54bb7' class='xr-var-data-in' type='checkbox'><label for='data-4b98db67-d995-4278-851a-dddf03b54bb7' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>LONGITUDE, WEST IS NEGATIVE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>XTIME</span></div><div class='xr-var-dims'>(XTIME)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-09-30T03:00:00 ... 2019-10-02</div><input id='attrs-78096a3a-5528-4ab4-ac54-faef34b3f7e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78096a3a-5528-4ab4-ac54-faef34b3f7e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416a2449-2c59-4cb5-9dc1-768925ff27ca' class='xr-var-data-in' type='checkbox'><label for='data-416a2449-2c59-4cb5-9dc1-768925ff27ca' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>0  </dd><dt><span>description :</span></dt><dd>minutes since 2019-09-30 00:00:00</dd><dt><span>stagger :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-09-30T03:00:00.000000000&#x27;, &#x27;2019-09-30T06:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-30T09:00:00.000000000&#x27;, &#x27;2019-09-30T12:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-30T15:00:00.000000000&#x27;, &#x27;2019-09-30T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-30T21:00:00.000000000&#x27;, &#x27;2019-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-10-01T03:00:00.000000000&#x27;, &#x27;2019-10-01T06:00:00.000000000&#x27;,\n",
       "       &#x27;2019-10-01T09:00:00.000000000&#x27;, &#x27;2019-10-01T12:00:00.000000000&#x27;,\n",
       "       &#x27;2019-10-01T15:00:00.000000000&#x27;, &#x27;2019-10-01T18:00:00.000000000&#x27;,\n",
       "       &#x27;2019-10-01T21:00:00.000000000&#x27;, &#x27;2019-10-02T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c74df8f1-14f9-4b54-abc3-d99805510486' class='xr-section-summary-in' type='checkbox'  ><label for='section-c74df8f1-14f9-4b54-abc3-d99805510486' class='xr-section-summary' >Data variables: <span>(23)</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>ACSNOM</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc706ebf-1c88-4b40-bc5a-302b3f2c7f37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc706ebf-1c88-4b40-bc5a-302b3f2c7f37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d63c16ee-38c6-4f1e-aee1-fded80ecf0e4' class='xr-var-data-in' type='checkbox'><label for='data-d63c16ee-38c6-4f1e-aee1-fded80ecf0e4' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>ACCUMULATED MELTED SNOW</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GLW</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-419087a7-0177-462e-8ea2-bce86d49fb7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-419087a7-0177-462e-8ea2-bce86d49fb7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-621f9129-b592-4f26-9aec-3964bc158305' class='xr-var-data-in' type='checkbox'><label for='data-621f9129-b592-4f26-9aec-3964bc158305' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>DOWNWARD LONG WAVE FLUX AT GROUND SURFACE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HFX</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1d7402a-0ee5-4b00-9e14-edf367ef62e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1d7402a-0ee5-4b00-9e14-edf367ef62e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12fab8d5-0360-4880-b8a0-42eda48826e6' class='xr-var-data-in' type='checkbox'><label for='data-12fab8d5-0360-4880-b8a0-42eda48826e6' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>UPWARD HEAT FLUX AT THE SURFACE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HGT</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef821d78-2933-4c0a-9d0f-0b3f21da62d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef821d78-2933-4c0a-9d0f-0b3f21da62d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37723437-1c27-4307-bb78-0d3ea6c222fd' class='xr-var-data-in' type='checkbox'><label for='data-37723437-1c27-4307-bb78-0d3ea6c222fd' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>Terrain Height</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LANDMASK</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e8717b8-f966-4fa3-9357-c39aed1e9e58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e8717b8-f966-4fa3-9357-c39aed1e9e58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19f9baf6-6018-40c8-bd17-11955668afcd' class='xr-var-data-in' type='checkbox'><label for='data-19f9baf6-6018-40c8-bd17-11955668afcd' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>LAND MASK (1 FOR LAND, 0 FOR WATER)</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LH</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d19475f1-f343-4487-8e5d-bb640fb3222b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d19475f1-f343-4487-8e5d-bb640fb3222b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4edfd6fa-7077-4060-82e8-4c9a2d33d7f7' class='xr-var-data-in' type='checkbox'><label for='data-4edfd6fa-7077-4060-82e8-4c9a2d33d7f7' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>LATENT HEAT FLUX AT THE SURFACE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWDNB</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebad932b-ea2e-45f8-af49-9e1bd76087f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebad932b-ea2e-45f8-af49-9e1bd76087f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba67b68a-a6f8-4dc9-a4e5-0acb8c660770' class='xr-var-data-in' type='checkbox'><label for='data-ba67b68a-a6f8-4dc9-a4e5-0acb8c660770' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>INSTANTANEOUS DOWNWELLING LONGWAVE FLUX AT BOTTOM</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PBLH</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3242fef8-3a8c-4369-b861-c060ff821e86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3242fef8-3a8c-4369-b861-c060ff821e86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11e5ed4-d6f6-46e7-902e-8661f9921222' class='xr-var-data-in' type='checkbox'><label for='data-b11e5ed4-d6f6-46e7-902e-8661f9921222' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>PBL HEIGHT</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSFC</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23d6e81c-a8bd-4311-bf9f-9b40e67bb200' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23d6e81c-a8bd-4311-bf9f-9b40e67bb200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf5b5452-ce6a-4bc1-b300-a977ed46fb82' class='xr-var-data-in' type='checkbox'><label for='data-cf5b5452-ce6a-4bc1-b300-a977ed46fb82' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SFC PRESSURE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9438b379-9d7d-44fa-a5b5-b908ca801c6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9438b379-9d7d-44fa-a5b5-b908ca801c6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-242dea5b-b396-4bf0-a106-65c7f2d00652' class='xr-var-data-in' type='checkbox'><label for='data-242dea5b-b396-4bf0-a106-65c7f2d00652' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>QV at 2 M</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg kg-1</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFX</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5b2c23e-380f-4975-8e69-48d5bd15afce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5b2c23e-380f-4975-8e69-48d5bd15afce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a4e1292-ad07-43b4-b802-76c63f6b7470' class='xr-var-data-in' type='checkbox'><label for='data-5a4e1292-ad07-43b4-b802-76c63f6b7470' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>UPWARD MOISTURE FLUX AT THE SURFACE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RAINC</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10947aa6-4ba2-44c4-9e11-fafc543bf555' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10947aa6-4ba2-44c4-9e11-fafc543bf555' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cd11ebf-1902-44a1-b36c-425c67edc8aa' class='xr-var-data-in' type='checkbox'><label for='data-2cd11ebf-1902-44a1-b36c-425c67edc8aa' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>ACCUMULATED TOTAL CUMULUS PRECIPITATION</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RAINNC</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-068aed74-2599-4abf-989b-198f7f4cecad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-068aed74-2599-4abf-989b-198f7f4cecad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aef44b98-df11-4860-bb3a-8fa7abb81c83' class='xr-var-data-in' type='checkbox'><label for='data-aef44b98-df11-4860-bb3a-8fa7abb81c83' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>ACCUMULATED TOTAL GRID SCALE PRECIPITATION</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RAINSH</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9079070c-08ef-4366-acd4-bb9777bbfc96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9079070c-08ef-4366-acd4-bb9777bbfc96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205243c2-98c7-4467-948c-2a3ddb2c82b6' class='xr-var-data-in' type='checkbox'><label for='data-205243c2-98c7-4467-948c-2a3ddb2c82b6' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>ACCUMULATED SHALLOW CUMULUS PRECIPITATION</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOW</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9846c84f-919f-44c8-bfa0-f9d214cfa06a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9846c84f-919f-44c8-bfa0-f9d214cfa06a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d878a8d-9989-443d-9440-09282bc4cfe1' class='xr-var-data-in' type='checkbox'><label for='data-7d878a8d-9989-443d-9440-09282bc4cfe1' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SNOW WATER EQUIVALENT</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOWH</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-390dd6e9-c0f2-40a6-8ed9-27b21b5ad1ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-390dd6e9-c0f2-40a6-8ed9-27b21b5ad1ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba134a3-4994-4af9-91e5-e4d3952577ea' class='xr-var-data-in' type='checkbox'><label for='data-eba134a3-4994-4af9-91e5-e4d3952577ea' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>PHYSICAL SNOW DEPTH</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SST</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ebfe92a-1bd6-4a87-9834-0844e4128d05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ebfe92a-1bd6-4a87-9834-0844e4128d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f6830ae-cccf-4c03-8c94-b12ac720896a' class='xr-var-data-in' type='checkbox'><label for='data-4f6830ae-cccf-4c03-8c94-b12ac720896a' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SEA SURFACE TEMPERATURE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SSTSK</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d6fd0c6-9774-4af8-b31c-c58427bb8b38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d6fd0c6-9774-4af8-b31c-c58427bb8b38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac99cac-1b7a-4a06-9568-441d0f3f8547' class='xr-var-data-in' type='checkbox'><label for='data-5ac99cac-1b7a-4a06-9568-441d0f3f8547' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SKIN SEA SURFACE TEMPERATURE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWDOWN</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0fc1e87a-40b3-4066-b474-0e373b5413c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fc1e87a-40b3-4066-b474-0e373b5413c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f596ab-55d5-43cd-9762-739e92ecc780' class='xr-var-data-in' type='checkbox'><label for='data-97f596ab-55d5-43cd-9762-739e92ecc780' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>DOWNWARD SHORT WAVE FLUX AT GROUND SURFACE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>W m-2</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7f8d7f8-2f3e-4867-bb3a-7b425eec483d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7f8d7f8-2f3e-4867-bb3a-7b425eec483d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37f13daf-2352-4611-9ddd-ddedcfe8326d' class='xr-var-data-in' type='checkbox'><label for='data-37f13daf-2352-4611-9ddd-ddedcfe8326d' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>TEMP at 2 M</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSK</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e38d84ab-2b66-47d0-beb6-8f96727e2a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e38d84ab-2b66-47d0-beb6-8f96727e2a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe301ec3-b163-4f2f-ae9e-1a468a6ba6fb' class='xr-var-data-in' type='checkbox'><label for='data-fe301ec3-b163-4f2f-ae9e-1a468a6ba6fb' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>SURFACE SKIN TEMPERATURE</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U10</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65fe64b7-9120-4538-9e91-15d1178eb4c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65fe64b7-9120-4538-9e91-15d1178eb4c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8757e451-7585-40a1-910b-52438540ef45' class='xr-var-data-in' type='checkbox'><label for='data-8757e451-7585-40a1-910b-52438540ef45' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>U at 10 M</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V10</span></div><div class='xr-var-dims'>(XTIME, south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83c40138-d77f-4cb5-97a0-796782b24e6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83c40138-d77f-4cb5-97a0-796782b24e6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b8dc9d6-b053-4b17-8e22-65feff29a5fa' class='xr-var-data-in' type='checkbox'><label for='data-1b8dc9d6-b053-4b17-8e22-65feff29a5fa' 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>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>V at 10 M</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[11178000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d78c1c6-667e-45cc-aa69-9ca6b644235e' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d78c1c6-667e-45cc-aa69-9ca6b644235e' class='xr-section-summary' >Attributes: <span>(122)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ADAPT_DT_MAX :</span></dt><dd>17.0</dd><dt><span>ADAPT_DT_MIN :</span></dt><dd>8.0</dd><dt><span>ADAPT_DT_START :</span></dt><dd>9.0</dd><dt><span>AER_ANGEXP_OPT :</span></dt><dd>1</dd><dt><span>AER_ANGEXP_VAL :</span></dt><dd>1.2999999523162842</dd><dt><span>AER_AOD550_OPT :</span></dt><dd>1</dd><dt><span>AER_AOD550_VAL :</span></dt><dd>0.11999999731779099</dd><dt><span>AER_ASY_OPT :</span></dt><dd>1</dd><dt><span>AER_ASY_VAL :</span></dt><dd>0.8999999761581421</dd><dt><span>AER_OPT :</span></dt><dd>0</dd><dt><span>AER_SSA_OPT :</span></dt><dd>1</dd><dt><span>AER_SSA_VAL :</span></dt><dd>0.8500000238418579</dd><dt><span>AER_TYPE :</span></dt><dd>1</dd><dt><span>BLDT :</span></dt><dd>0.0</dd><dt><span>BL_PBL_PHYSICS :</span></dt><dd>2</dd><dt><span>BOTTOM-TOP_GRID_DIMENSION :</span></dt><dd>61</dd><dt><span>BOTTOM-TOP_PATCH_END_STAG :</span></dt><dd>61</dd><dt><span>BOTTOM-TOP_PATCH_END_UNSTAG :</span></dt><dd>60</dd><dt><span>BOTTOM-TOP_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>BOTTOM-TOP_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>BUCKET_J :</span></dt><dd>-1.0</dd><dt><span>BUCKET_MM :</span></dt><dd>-1.0</dd><dt><span>CEN_LAT :</span></dt><dd>-82.04856872558594</dd><dt><span>CEN_LON :</span></dt><dd>-179.20169067382812</dd><dt><span>CUDT :</span></dt><dd>0.0</dd><dt><span>CU_PHYSICS :</span></dt><dd>0</dd><dt><span>DAMPCOEF :</span></dt><dd>0.20999999344348907</dd><dt><span>DAMP_OPT :</span></dt><dd>3</dd><dt><span>DFI_OPT :</span></dt><dd>0</dd><dt><span>DIFF_6TH_FACTOR :</span></dt><dd>0.11999999731779099</dd><dt><span>DIFF_6TH_OPT :</span></dt><dd>2</dd><dt><span>DIFF_OPT :</span></dt><dd>1</dd><dt><span>DT :</span></dt><dd>16.184999465942383</dd><dt><span>DX :</span></dt><dd>2666.6669921875</dd><dt><span>DY :</span></dt><dd>2666.6669921875</dd><dt><span>ETAC :</span></dt><dd>0.20000000298023224</dd><dt><span>FEEDBACK :</span></dt><dd>1</dd><dt><span>GFDDA_END_H :</span></dt><dd>0</dd><dt><span>GFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>GMT :</span></dt><dd>0.0</dd><dt><span>GRAV_SETTLING :</span></dt><dd>0</dd><dt><span>GRIDTYPE :</span></dt><dd>C</dd><dt><span>GRID_FDDA :</span></dt><dd>0</dd><dt><span>GRID_ID :</span></dt><dd>3</dd><dt><span>GRID_SFDDA :</span></dt><dd>0</dd><dt><span>GWD_OPT :</span></dt><dd>0</dd><dt><span>HYBRID_OPT :</span></dt><dd>2</dd><dt><span>HYPSOMETRIC_OPT :</span></dt><dd>2</dd><dt><span>ICLOUD :</span></dt><dd>1</dd><dt><span>ICLOUD_CU :</span></dt><dd>0</dd><dt><span>ISFFLX :</span></dt><dd>1</dd><dt><span>ISFTCFLX :</span></dt><dd>0</dd><dt><span>ISHALLOW :</span></dt><dd>0</dd><dt><span>ISICE :</span></dt><dd>24</dd><dt><span>ISLAKE :</span></dt><dd>-1</dd><dt><span>ISOILWATER :</span></dt><dd>14</dd><dt><span>ISURBAN :</span></dt><dd>1</dd><dt><span>ISWATER :</span></dt><dd>16</dd><dt><span>I_PARENT_START :</span></dt><dd>313</dd><dt><span>JULDAY :</span></dt><dd>274</dd><dt><span>JULYR :</span></dt><dd>2019</dd><dt><span>J_PARENT_START :</span></dt><dd>294</dd><dt><span>KHDIF :</span></dt><dd>0.0</dd><dt><span>KM_OPT :</span></dt><dd>4</dd><dt><span>KVDIF :</span></dt><dd>0.0</dd><dt><span>MAP_PROJ :</span></dt><dd>2</dd><dt><span>MAP_PROJ_CHAR :</span></dt><dd>Polar Stereographic</dd><dt><span>MFSHCONV :</span></dt><dd>0</dd><dt><span>MMINLU :</span></dt><dd>USGS</dd><dt><span>MOAD_CEN_LAT :</span></dt><dd>-87.39999389648438</dd><dt><span>MOIST_ADV_OPT :</span></dt><dd>1</dd><dt><span>MP_PHYSICS :</span></dt><dd>4</dd><dt><span>NUM_LAND_CAT :</span></dt><dd>24</dd><dt><span>OBS_NUDGE_OPT :</span></dt><dd>0</dd><dt><span>PARENT_GRID_RATIO :</span></dt><dd>3</dd><dt><span>PARENT_ID :</span></dt><dd>2</dd><dt><span>POLE_LAT :</span></dt><dd>90.0</dd><dt><span>POLE_LON :</span></dt><dd>0.0</dd><dt><span>PREC_ACC_DT :</span></dt><dd>0.0</dd><dt><span>RADT :</span></dt><dd>15.0</dd><dt><span>RA_LW_PHYSICS :</span></dt><dd>4</dd><dt><span>RA_SW_PHYSICS :</span></dt><dd>2</dd><dt><span>SCALAR_ADV_OPT :</span></dt><dd>1</dd><dt><span>SCALAR_PBLMIX :</span></dt><dd>0</dd><dt><span>SF_LAKE_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_OCEAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SF_SFCLAY_PHYSICS :</span></dt><dd>2</dd><dt><span>SF_SURFACE_PHYSICS :</span></dt><dd>2</dd><dt><span>SF_URBAN_PHYSICS :</span></dt><dd>0</dd><dt><span>SGFDDA_END_H :</span></dt><dd>0</dd><dt><span>SGFDDA_INTERVAL_M :</span></dt><dd>0</dd><dt><span>SHCU_PHYSICS :</span></dt><dd>0</dd><dt><span>SIMULATION_INITIALIZATION_TYPE :</span></dt><dd>REAL-DATA CASE</dd><dt><span>SIMULATION_START_DATE :</span></dt><dd>2019-10-01_00:00:00</dd><dt><span>SKEBS_ON :</span></dt><dd>0</dd><dt><span>SMOOTH_OPTION :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_GRID_DIMENSION :</span></dt><dd>1036</dd><dt><span>SOUTH-NORTH_PATCH_END_STAG :</span></dt><dd>1036</dd><dt><span>SOUTH-NORTH_PATCH_END_UNSTAG :</span></dt><dd>1035</dd><dt><span>SOUTH-NORTH_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>SOUTH-NORTH_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>SPEC_BDY_FINAL_MU :</span></dt><dd>1</dd><dt><span>SST_UPDATE :</span></dt><dd>0</dd><dt><span>STAND_LON :</span></dt><dd>180.0</dd><dt><span>START_DATE :</span></dt><dd>2019-10-01_00:00:00</dd><dt><span>SURFACE_INPUT_SOURCE :</span></dt><dd>1</dd><dt><span>SWINT_OPT :</span></dt><dd>0</dd><dt><span>SWRAD_SCAT :</span></dt><dd>1.0</dd><dt><span>TITLE :</span></dt><dd> OUTPUT FROM WRF V3.9.1.1 MODEL</dd><dt><span>TKE_ADV_OPT :</span></dt><dd>1</dd><dt><span>TRACER_PBLMIX :</span></dt><dd>1</dd><dt><span>TRUELAT1 :</span></dt><dd>-71.0</dd><dt><span>TRUELAT2 :</span></dt><dd>-91.0</dd><dt><span>USE_Q_DIABATIC :</span></dt><dd>0</dd><dt><span>USE_THETA_M :</span></dt><dd>0</dd><dt><span>WEST-EAST_GRID_DIMENSION :</span></dt><dd>676</dd><dt><span>WEST-EAST_PATCH_END_STAG :</span></dt><dd>676</dd><dt><span>WEST-EAST_PATCH_END_UNSTAG :</span></dt><dd>675</dd><dt><span>WEST-EAST_PATCH_START_STAG :</span></dt><dd>1</dd><dt><span>WEST-EAST_PATCH_START_UNSTAG :</span></dt><dd>1</dd><dt><span>W_DAMPING :</span></dt><dd>1</dd><dt><span>YSU_TOPDOWN_PBLMIX :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (XTIME: 16, south_north: 1035, west_east: 675)\n",
       "Coordinates:\n",
       "    XLAT      (XTIME, south_north, west_east) float32 ...\n",
       "    XLONG     (XTIME, south_north, west_east) float32 ...\n",
       "  * XTIME     (XTIME) datetime64[ns] 2019-09-30T03:00:00 ... 2019-10-02\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Data variables: (12/23)\n",
       "    ACSNOM    (XTIME, south_north, west_east) float32 ...\n",
       "    GLW       (XTIME, south_north, west_east) float32 ...\n",
       "    HFX       (XTIME, south_north, west_east) float32 ...\n",
       "    HGT       (XTIME, south_north, west_east) float32 ...\n",
       "    LANDMASK  (XTIME, south_north, west_east) float32 ...\n",
       "    LH        (XTIME, south_north, west_east) float32 ...\n",
       "    ...        ...\n",
       "    SSTSK     (XTIME, south_north, west_east) float32 ...\n",
       "    SWDOWN    (XTIME, south_north, west_east) float32 ...\n",
       "    T2        (XTIME, south_north, west_east) float32 ...\n",
       "    TSK       (XTIME, south_north, west_east) float32 ...\n",
       "    U10       (XTIME, south_north, west_east) float32 ...\n",
       "    V10       (XTIME, south_north, west_east) float32 ...\n",
       "Attributes: (12/122)\n",
       "    ADAPT_DT_MAX:                    17.0\n",
       "    ADAPT_DT_MIN:                    8.0\n",
       "    ADAPT_DT_START:                  9.0\n",
       "    AER_ANGEXP_OPT:                  1\n",
       "    AER_ANGEXP_VAL:                  1.2999999523162842\n",
       "    AER_AOD550_OPT:                  1\n",
       "    ...                              ...\n",
       "    WEST-EAST_PATCH_END_STAG:        676\n",
       "    WEST-EAST_PATCH_END_UNSTAG:      675\n",
       "    WEST-EAST_PATCH_START_STAG:      1\n",
       "    WEST-EAST_PATCH_START_UNSTAG:    1\n",
       "    W_DAMPING:                       1\n",
       "    YSU_TOPDOWN_PBLMIX:              0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AMPS_gsc_combined"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Close your cluster, be a good denizen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8d5148ee90>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iElcL1m7n7nGZzFq+hdM7NOTRi7rSrE7VRIclcabkIyJxsS83n2c++Z4/f7iQGpUr8NTlPejfvZkKgZZRSj4iEnPfLt/CkPGZzFuznQu6N+PBCzpRv4YKgZZlSj4iEjO79+Ux8v0FPPfpIhrWrMyz16RzdqfGiQ5LkoCSj4jExBffb2TYhEyWbNzFFb1aMqzfUdSqokKgElDyEZEStW1PDiPensfLXy4jrV41Xr7xOE5sq0Kg8kNKPiJSYj6ct5Z7Jsxm3fY93HRKa+44uwNVK6k0jvxYzL5CbGbPm9k6M5tdYHo9M5tqZgvDn1GrBRbWzszqm9lHZrbDzJ4uYv2tzezLcPl/m1mliHm9zWyWmc0xs09KaptFyqqNO/byy7HfcP0LGdSuWpEJPz+Je8/rpMQjhYpl/YoXgHOjTB8KfODu7YAPwvFoCmu3BxgO3HmA9T8GjAyX3wzcAGBmdYBRQH937wxcWsztEZEC3J3J367i7JHTeCtrNbef1Y43fnEyPVrWSXRokuRilnzcfRqwKcqsAcCL4fCLwIWFdBG1nbvvdPfpBEkoKgu+OHAGMC7Keq4EJrj7srC/dQfcGBH5kTVb93DTSxnc9so3tKxXjSm/OIXbz2pPpQqqySYHlohrPo3dfTWAu682s0aH2S6a+sAWd88Nx1cAzcPh9kBFM/sYqAk85e4vHexGiJRV7s7Yr5fz2ze/Iyc/n/vOO4pBJ7WmvErjyEEorTccRPsr8PBnBaAncCZQFfjCzGa4+4IfdGB2M3AzQFpaWgxDFUkdSzbsZNiELL5YtJET2tRnxMCuHFFfhUDl4CUi+aw1s6bh0UxTYB2AmY0BjgZWuXu/wtoV0wagjplVCI9+WgCrwnkrgA3uvhPYaWbTgO7AD5KPu48GRgOkp6c7ImVYXr7z/PTFPDl1PhXLlWPExV257NiWKo0jhywRJ2cnA9eGw9cCkwDcfZC79wgTT6HtisPdHfgIuCTK8pOAU8ysgplVA44DvjvEbREp9eav2c7Foz7j0be+4+S2DZh6x2lc3itNiUcOiwX/p2PQsdkrQG+gAbAWeMDd/25m9YFXgTRgGXCpu//oxoSi2pnZEqAWUAnYApzj7nMLLN8GGAvUA74Brnb3veG8u4BBQD7wnLv/sahtSU9P94yMjIP+HYiksn25+fzlo2xGfZxNrSoVebB/Z87v1lRJR4rNzGa6e3rUebFKPqWJko+UNbOWb+Hucd+yYO0OLuzRjPsv6Ey96pUOvKBIhKKST2m94UBEDsHufXk8+d58nv9sMY1rVeH569I5o6MKgUrJU/IREQA+z97A0AlZLNu0i6uPT2PIuR2pqUKgEiOF3nBgZq9GDD9WYN57sQxKROJn6+4cho7P5MrnvqScwdibj+eRC7sq8UhMFXXk0y5i+GxgSMR4w9iEIyLxNHXuWu57PYv12/dyy2lt+NVZ7alSUfXYJPaKSj5F3YmguxREUtiGHXt5cPIcpmSupmOTmjx7TTrdWtRJdFhShhSVfKqZ2dEEp+aqhsMWvqrGIzgRKVnuzqRZq3jojTns3JvHr89uzy2nHal6bBJ3RSWfNcAfogzvHxeRFLJqy27ue302H85bx9FpdXh8YDfaNa6Z6LCkjCo0+bh77zjGISIxkp/vvPzVMka8PY+8fOf+8ztx7YmtVAhUEqrQ5GNmFxe1oLtPKPlwRKQkLd6wkyHjM/lq8SZOalufERd3o2W9aokOS6TI027jgFnhC35YKdoBJR+RJJWbl89z0xczcuoCKlUox+MDu3FpeguVxpGkUVTyGQhcBnQjKMb5irtnxyUqETlkc1dtY8j4TLJWbuWcTo15+MIuNK5VJdFhifxAUdd8JgITzaw6wVNFnwyLfd7r7p/EK0ARKZ69uXk8/WE2f/34e+pUq8ioq46hb5cmOtqRpFSc8jp7gK3ANoIK0/oIJZJkZi7dzJDxmWSv28HFxzRn+HmdqKtCoJLEirrh4HTgCqAX8D7B46ZV2lkkiezcm8sT783nhc+X0Kx2VV4YdCy9OxzME+dFEqOoI58PgExgOlAZuMbMrtk/091vi3FsIlKETxeuZ9iELFZs3s01JxzB3ed2pEZl1QqW1FDUnno9KqMjknS27srh0bfm8mrGCto0qM6rt5xAr9b1Eh2WyEEp6oaDF+IYh4gUwzuz1zB80mw27dzHz3sfyW1ntlMhUElJRV3zeYMijnzcvX9MIhKRH1m/PSgE+mbWajo1rcWY646lS/PaiQ5L5JAVddrticPp2MyeB84H1rl7l4jp9YB/A62AJcD/ufvmKMtHbRfe7j0OOBZ4wd1vLWT9rYGxQD3gP8BP3H2fBfedPgX0A3YB17n7fw5nW0Vixd2Z8J+V/GbKXHbn5HFXnw7cfGobKpZXIVBJbUXtwYPc/ZPCXsXo+wXg3CjThwIfuHs7gpsahhayfGHt9gDDgTsPsP7HgJHh8puBG8LpfQmeVdQOuBn4azG2RSTuVmzexbVjvubXr31L20Y1eOu2Uxh8elslHikVitqLux1Ox+4+DdgUZdYA4MVw+EXgwkK6iNrO3Xe6+3SCJBRVeHRzBsERUsH1DABe8sAMoI6ZNT3wFonER36+89IXS+gzchoZSzbxUP/OvHbLCbRtVCPRoYmUmOI8zyfq16MP41RVY3dfHfax2swK+1JCcdtFUx/Y4u654fgKoHk43BxYHtF2/7zVB9G/SEx8v34HQ8dn8vWSzZzaviG/vagLLeqqEKiUPkUln+bAk0RPPk5wZJGsCov5QPP+14HZzQSn5UhLSyu5yESiyMnL59lPF/HH9xdStWJ5fn9JNy7pqUKgUnoVlXyy3T0WCWatmTUNj2aaAusAzGwMcDSwyt37FdaumDYQnE6rEB79tABWhfNWAC0j2kbO+y93Hw2MBkhPT9f3nSRmZq/cypDxmcxZtY1+XZvwYP/ONKqpKlZSuhV1zadWYTPM7JTDWOdk4Npw+FqCitm4+yB37xEmnkLbFYe7O/ARcEmU5ScTVGswMzse2Lr/9J5IPO3JyePxd+Yx4C+fsXbbXp65+hhGXdVTiUfKBAv+T0eZYbYIeAb4w/5rJ2bWmOBUXAd3P7bIjs1eAXoDDYC1wAPu/vfwVulXCYqULgMudfcf3ZhQVDszW0KQHCsBW4Bz3H1ugeXb8L9brb8Brnb3veHNCE8T3Im3i+CuviJr1qWnp3tGhsraScnJWLKJu8dnsmj9Ti7t2YL7zutE7WoVEx2WSIkys5nunh51XhHJpw7B7conAr8EugJ3AI8Df3X3/JhEm4SUfKSk7Niby+/fmcdLM5bSrHZVfndxV05t3zDRYYnERFHJp6jyOluAW8zslwRVrVcBx7v7iphEKVLKfbJgPfdMyGLV1t1ce0Ir7urTgeoqBCplVFHldeoQHPkcR3CKqh/wtpn90t0/jE94Iqlvy659PDzlO8b/ZwVHNqzOuJ+eQM8jVAhUyraiPnb9BxgFDA6v+bxnZj2AUWa21N2viEeAIqnsrazV3D9pNlt25XDr6W259Yy2KgQqQtHJ59SCp9jcfRZwopndFNOoRFLcum17uH/SHN6Zs4YuzWvx4vW96NxMhUBF9ivqmk+h13bc/dnYhCOS2tyd12au4JEpc9mTm8+Qczty0ymtqaB6bCI/oKudIiVk+aZd3DMxi08XbqBXq3qMGNiVNg1Vj00kGiUfkcOUFxYC/f278zHg4Qu7cFWvNMqVU2kckcIo+Ygchux12xkyPouZSzfTu0NDHr2oK83rVE10WCJJT8lH5BDk5OXzt0++508fZFOtcnn+8H/duejo5ioEKlJMSj4iBylrxVbuGvct89Zs57xuTXmof2ca1Kic6LBEUoqSj0gx7cnJ44/vL+TZTxdRv3ol/vaTnvTp3CTRYYmkJCUfkWL4ctFGhk7IYvGGnVyW3pJ7zjuK2lVVCFTkUCn5iBRh+54cHntnHv+csYyW9aryrxuP46S2DRIdlkjKU/IRKcRH89Zx78QsVm/bw/UntebOPu2pVkl/MiIlQX9JIgVs2rmPh6fMZeI3K2nXqAbjf3Yix6TVTXRYIqWKko9IyN15M2s1D0yaw9bdOdx2ZjsGn34klSuoEKhISVPyEQHWbtvDfa/PZurctXRrUZt/3ngcRzUt9EnyInKYYlbt0MzONbP5ZpZtZkMjpnc3sy/MLMvM3jCzqH/hZvawmWWa2Swze8/MmkXMGxb2O9/M+hSy/K1hGzezBhHTa4fr/dbM5pjZoJLcbkkt7s7Yr5Zx1h8+YdqC9dzTryMTfnaiEo9IjMUk+ZhZeeAvQF+gE3CFmXUKZz8HDHX3rsBE4K5Cuvm9u3dz9x7AFOD+sO9OwOVAZ4KH3I0K11fQZ8BZwNIC0wcDc929O9AbeNLMKh3KdkpqW7ZxF1c99yVDJ2TRqWkt3r39VG4+9UhVoBaJg1iddusFZLv7IgAzGwsMAOYCHYBpYbupwLvA8IIduPu2iNHqgIfDA4Cx7r4XWGxm2eH6viiw/Dfhun/UNVDTghk1gE1A7iFtpaSkvHxnzGeLeeK9+VQoV45HL+rCFceqEKhIPMUq+TQHlkeMryB4HDfAbKA/MAm4FGhZWCdm9ihwDbAVOD2i7xkF+m5+ELE9DUwGVgE1gcvcPf8glpcUtmDtdu4el8ms5Vs4o2MjHr2oC01rqxCoSLzF6vxCtI+Q+49crgcGm9lMgn/++wrrxN3vdfeWwL+AW4vRd3H0AWYBzYAewNPRrjuZ2c1mlmFmGevXrz+I7iUZ7cvN56n3F3Lenz5l6cad/PGyHvz92nQlHpEEiVXyWcEPj2haEBxp4O7z3P0cd+8JvAJ8D2BmY8KbC96K0t/LwMAD9V1Mg4AJHsgGFgMdCzZy99Hunu7u6Q0bNjyI7iXZfLt8C/2fns7I9xdwbpemvH/HaVyoCtQiCRWr025fA+3MrDWwkuAGgSsBzKyRu68zs3LAfcAzAO7+g7vOzKyduy8MR/sD88LhycDLZvYHgqOXdsBXBxHbMuBM4FMza0xwDWrRwW+iJLvd+/IY+f4Cnvt0EQ1rVubZa9I5u1PjRIclIsQo+bh7rpndSnAzQXngeXefE86+wswGh8MTgDGFdDPCzDoA+QR3rP007HuOmb1KcPNCLjDY3fMKLmxmtwF3A02ATDN7y91vBB4GXjCzLIJTeEPcfcPhb7Ukky++38jQCZks3biLK3qlMaxfR2pVUSFQkWRh7gdzuaRsSk9P94yMjESHIcWwbU8Ov3trHq98tYwj6lfjdxd35cQjVQhUJBHMbKa7p0ebpwoHUmp88N1a7p04m3Xb93DTKa254+wOVK2k0jgiyUjJR1Lexh17eeiNuUz+dhUdGtfkmZ/0pEfLOokOS0SKoOQjKcvdmfztKh56Yy7b9+Twq7Pa87PeR1KpgioUiCQ7JR9JSau37ua+ibP5YN46uresw+MDu9GhSc1EhyUixaTkIyklP98Z+/VyfvfWd+Tk53PfeUcx6KTWlFdpHJGUouQjKWPJhp0MnZDJjEWbOPHI+oy4uBtp9aslOiwROQRKPpL08vKd56cv5smp86lYrhwjLu7KZce2VIUCkRSm5CNJbf6a7dw97lu+XbGVs45qzCMXdqFJ7SqJDktEDpOSjySlvbl5jProe0Z9nE2tKhX58xVHc363pjraESkllHwk6XyzbDNDxmeyYO0OLjq6Ofef34m61fW8P5HSRMlHksaufbk8+d4Cnv9sMU1qVWHMdcdyesdGiQ5LRGJAyUeSwufZGxg6IYtlm3Zx9fFpDDm3IzVVCFSk1FLykYTaujuH3731HWO/Xk7rBtX5983Hc1yb+okOS0RiTMlHEmbq3LXc93oW67fv5ZbT2vCrs9pTpaIKgYqUBUo+EncbduzlwclzmJK5mo5NavLsNel0a1En0WGJSBwp+UjcuDuvz1rJQ2/MZdfePH59dnt+2vtIKpZXIVCRskbJR+Ji1Zbd3Dsxi4/mr+eYtDo8NrAb7RqrEKhIWRWzj5xmdq6ZzTezbDMbGjG9u5l9YWZZZvaGmdUqZPmHzSzTzGaZ2Xtm1ixi3rCw3/lm1qeQ5W8N27iZNYiYflXYb6aZfW5m3Utyu+WH8vOdf8xYyjkjpzFj0SYeuKATr/30RCUekTIuJsnHzMoDfwH6Ap2AK8ysUzj7OWCou3cFJgJ3FdLN7929m7v3AKYA94d9dwIuBzoD5wKjwvUV9BlwFrC0wPTFwGnu3g14GBh9SBspB7R4w04uf3YGw1+fTY+WdXjvV6eqArWIALE77dYLyHb3RQBmNhYYAMwFOgDTwnZTgXeB4QU7cPdtEaPVAQ+HBwBj3X0vsNjMssP1fVFg+W/CdRfs9/OI0RlAi4PfPClKbl4+z01fzMipC6hcoRyPX9KNS3u2UGkcEfmvWCWf5sDyiPEVwHHh8GygPzAJuBRoWVgnZvYocA2wFTg9ou8ZBfpufohx3gC8fYjLShRzV21jyPhMslZupU/nxjw8oAuNaqkQqIj8UKyu+UT7iLv/yOV6YLCZzQRqAvsK68Td73X3lsC/gFuL0XfxAzQ7nSD5DClk/s1mlmFmGevXrz/Y7sucvbl5PPnefPo/PZ3VW3cz6qpjeObqnko8IhJVrI58VvDDI5oWwCoAd58HnANgZu2B88LhMcDRwCp371egv5eBN4EHiuq7uMysG8G1p77uvjFaG3cfTXg9KD09/aCTW1kyc2lQCDR73Q4uPqY5w89TIVARKVqsks/XQDszaw2sJLhB4EoAM2vk7uvMrBxwH/AMgLsPiuzAzNq5+8JwtD8wLxyeDLxsZn8AmgHtgK+KG5iZpQETgJ+4+4JD3D4Bdu7N5Yn35vPC50toVrsqLww6lt4dVAhURA4sJsnH3XPN7FaCmwnKA8+7+5xw9hVmNjgcngCMKaSbEWbWAcgnuGPtp2Hfc8zsVYKbF3KBwe6eV3BhM7sNuBtoAmSa2VvufiPBXXP1Ce6SA8h19/TD3ugy5tOF6xk2IYsVm3dz7QlHcNe5HalRWV8bE5HiMXedUTqQ9PR0z8jISHQYSWHrrhweeXMur81cQZuG1XlsYDeObVUv0WGJSBIys5mFfbjXR1Uptndmr2H4pNls2rmPn/c+ktvObKdCoCJySJR85IDWbd/Dg5Pn8FbWGjo1rcWY646lS/PaiQ5LRFKYko8Uyt0Z/5+VPDxlLrtz8rirTwduPrWNCoGKyGFT8pGoVmzexT0TZzNtwXrSj6jLiIHdaNuoRqLDEpFSQslHfmB/IdDH3gnubH+of2d+cvwRlFM9NhEpQUo+8l/Z63YwdHwmGUs3c2r7hvz2oi60qFst0WGJSCmk5CPk5OUzetoinnp/IVUrleeJS7sz8JjmKgQqIjGj5FPGzV65lbvHZTJ39Tb6dW3Cg/0706im6rGJSGwp+ZRRe3LyeOqDhYyetoh61SvxzNXHcG6XpokOS0TKCCWfMujrJZsYMi6TRRt2cmnPFtx3XidqV6uY6LBEpAxR8ilDduzN5fF35vHSF0tpUbcq/7ihF6e0a5josESkDFLyKSM+nr+OeyfOZtXW3Vx3Yivu6tOB6ioEKiIJov8+pdzmnft4+M25TPjPSo5sWJ1xPz2BnkeoEKiIJJaSTynl7rw9ew33T5rNll05/OKMtgw+va0KgYpIUlDyKYXWbdvD8EmzeXfOWro2r81L1x9Hp2a1Eh2WiMh/KfmUIu7OazNX8MiUuezNzWdo347ceHJrKqgQqIgkGSWfUmL5pl0Mm5DF9OwN9GpVjxEDu9KmoQqBikhyUvJJcXn5zktfLOHxd+ZTzuDhC7twVa80FQIVkaQWs/MxZnaumc03s2wzGxoxvbuZfWFmWWb2hplFvRhhZg+bWaaZzTKz98ysWcS8YWG/882sTyHLtzazL81soZn928wqRczrHfY7x8w+Kcntjqfsddu59JnPeeiNuRzXph7v3XGaKlCLSEqISfIxs/LAX4C+QCfgCjPrFM5+Dhjq7l2BicBdhXTze3fv5u49gCnA/WHfnYDLgc7AucCocH0FPQaMdPd2wGbghnD5OsAooL+7dwYuPbytjb+cvHye/nAh/Z6azuINOxl5WXfGXHcszetUTXRoIiLFEqsjn15Atrsvcvd9wFhgQDivAzAtHJ4KDIzWgbtvixitDng4PAAY6+573X0xkB2u778sKMd8BjAunPQicGE4fCUwwd2XhetZdygbmChZK7ZywZ+n88R7Czinc2Om3nEaFx3dQhWoRSSlxOqaT3NgecT4CuC4cHg20B+YRHDU0bKwTszsUeAaYCtwekTfMwr03bzAovWBLe6eG6VNe6CimX0M1ASecveXirthibInJ4+R7y/g2WmLaFCjMqN/0pNzOjdJdFgiIockVkc+0T6G7z9yuR4YbGYzCf757yusE3e/191bAv8Cbi1G38VZfwWgJ3Ae0AcYbmbtf7QBZjebWYaZZaxfv76wEOPiy0Ub6fvUp/ztk0X8X3pLpt5xmhKPiKS0WB35rOCHRzQtgFUA7j4POAcg/Kd/Xjg8BjgaWOXu/Qr09zLwJvBAUX1H2ADUMbMK4dFPZJsVwAZ33wnsNLNpQHdgQWQH7j4aGA2Qnp5eMLnFxfY9OTz2zjz+OWMZLetV5V83HsdJbRskIhQRkRIVqyOfr4F24R1nlQhuEJgMYGaNwp/lgPuAZwDcfZC799ifeMysXUR//YF54fBk4HIzq2xmrYF2wFeRK3d3Bz4CLgknXUtwmo/w5ylmVsHMqhGcDvyuxLa8hHw0bx19Rk7jX18u44aTW/Pu7acq8YhIqRGTIx93zzWzW4F3gfLA8+4+J5x9hZkNDocnAGMK6WaEmXUA8oGlwE/DvueY2avAXCAXGOzueVGWHwKMNbNHgG+Av4fLf2dm7wCZYd/Pufvsw9vikrNp5z4enjKXid+spF2jGoz/2Ykck1Y30WGJiJQoCw4SpCjp6emekZER03W4O1MyV/Pg5Dls3Z3D4NPb8vPTj6RyBRUCFZHUZGYz3T092jxVOEgCa7ft4d6Js3n/u7V0a1Gbf910HB2bqBCoiJReSj4J5O78++vlPPrWd+zLzefefkcx6KRWKgQqIqWekk+CLN24k2ETsvj8+40c17oejw3sRqsG1RMdlohIXCj5xFlevjPms8U88d58KpQrx28v6srlx7ZUPTYRKVOUfOJo/prt3D0+k2+Xb+GMjo149KIuNK2temwiUvYo+cTBvtx8Rn2czV8+yqZmlYo8dXkP+ndvpnpsIlJmKfnE2KzlWxgyLpP5a7czoEcz7j+/E/VrVE50WCIiCaXkE0OTZq3kV/+eRaOaVXjumnTO6tQ40SGJiCQFJZ8YOrltAwad1JpfntWOWlUqJjocEZGkoeQTQ/VrVGb4+Z0O3FBEpIzRtxlFRCTulHxERCTulHxERCTulHxERCTulHxERCTulHxERCTulHxERCTulHxERCTu9BjtYjCz9cDSRMcRoQGwIdFBFCHZ44PkjzHZ4wPFWBKSPT44vBiPcPeG0WYo+aQgM8so7LnoySDZ44PkjzHZ4wPFWBKSPT6IXYw67SYiInGn5CMiInGn5JOaRic6gANI9vgg+WNM9vhAMZaEZI8PYhSjrvmIiEjc6cgnyZmetS1JQPuhlDQlnyRkZl3NbAiAJ+GhqZkl/SNZzewIM0tLdByFMbOmyf4PPdn3Q0j+fTHZ90NI3L6o5JNELPAE8DJQwcyS6vGnZlbDzEYCb5vZ38zs4kTHVJCZVd0fI/Cimf0snJ4U+7qZVTazvwKfAKOT9HeY1PshJP++mOz7ISR+X0yaX4QA0BBoCvR090fdPSfRAe1nZs2BfxDsM/0IdtjHExpUdLcBzdy9E/AgcDuAu+cnMKZI/YGm7t4emAL8xszaJzimgpJ2P4SU2ReTfT+EBO+LSj4JZmY1I0ZrA+3cfZ+Z9TGzO82sT6JiK2AP8Jy7/9Ld1wCvArPMrFuC4wLAzMqHnyoNyAwnNwPeNLOOiYss+JQeMerAegB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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "AMPS_gsc_combined.XTIME.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;T2&#x27; (XTIME: 16, south_north: 1035, west_east: 675)&gt;\n",
       "dask.array&lt;xarray-&lt;this-array&gt;, shape=(16, 1035, 675), dtype=float32, chunksize=(16, 1035, 675), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "    XLAT     (XTIME, south_north, west_east) float32 dask.array&lt;chunksize=(16, 1035, 675), meta=np.ndarray&gt;\n",
       "    XLONG    (XTIME, south_north, west_east) float32 dask.array&lt;chunksize=(16, 1035, 675), meta=np.ndarray&gt;\n",
       "  * XTIME    (XTIME) datetime64[ns] 2019-09-30T03:00:00 ... 2019-10-02\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Attributes:\n",
       "    FieldType:    104\n",
       "    MemoryOrder:  XY \n",
       "    description:  TEMP at 2 M\n",
       "    stagger:      \n",
       "    units:        K</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'T2'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>XTIME</span>: 16</li><li><span>south_north</span>: 1035</li><li><span>west_east</span>: 675</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-438807dc-e574-4c0f-85ce-60e1fab96574' class='xr-array-in' type='checkbox' checked><label for='section-438807dc-e574-4c0f-85ce-60e1fab96574' 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=(16, 1035, 675), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "<tr>\n",
       "<td>\n",
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       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 44.71 MB </td> <td> 44.71 MB </td></tr>\n",
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       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c4ff1db-b9f8-4357-88e0-69d1b1399f40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c4ff1db-b9f8-4357-88e0-69d1b1399f40' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>FieldType :</span></dt><dd>104</dd><dt><span>MemoryOrder :</span></dt><dd>XY </dd><dt><span>description :</span></dt><dd>TEMP at 2 M</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'T2' (XTIME: 16, south_north: 1035, west_east: 675)>\n",
       "dask.array<xarray-<this-array>, shape=(16, 1035, 675), dtype=float32, chunksize=(16, 1035, 675), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "    XLAT     (XTIME, south_north, west_east) float32 dask.array<chunksize=(16, 1035, 675), meta=np.ndarray>\n",
       "    XLONG    (XTIME, south_north, west_east) float32 dask.array<chunksize=(16, 1035, 675), meta=np.ndarray>\n",
       "  * XTIME    (XTIME) datetime64[ns] 2019-09-30T03:00:00 ... 2019-10-02\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Attributes:\n",
       "    FieldType:    104\n",
       "    MemoryOrder:  XY \n",
       "    description:  TEMP at 2 M\n",
       "    stagger:      \n",
       "    units:        K"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AMPS_gsc_combined['T2'].chunk()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f8d12621510>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "AMPS_gsc_combined['T2'].mean(dim='XTIME').plot(cmap='Spectral_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.shutdown()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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