CTP-HI_low_CONUS_scratch.ipynb

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    "## The Goal: Begin looking into other metrics, i.e., CTP-HI_low to start. \n",
    "<br>\n",
    "<b>Author:</b> Meg D. Fowler \n",
    "<br>\n",
    "<b>Date:</b> 1 Sept 2020 \n",
    "<br><br>\n",
    "<b>Short description:</b> As a place to start, let's use 12 UTC across CONUS in summer (as in Findell and Eltahir, part 2). Not perfect, but can be refined fairly easily. \n",
    "<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libraries \n",
    "import comet as cm \n",
    "import numpy as np \n",
    "import xarray as xr \n",
    "import pickle\n",
    "import pandas as pd\n",
    "import datetime \n",
    "\n",
    "# Plotting utils \n",
    "import matplotlib.pyplot as plt \n",
    "import cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.util\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from numpy import f2py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "cell_type": "markdown",
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   "source": [
    "## Read in data"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set file names \n",
    "mainDir = '/Users/meganfowler/Documents/NCAR/Analysis/Coupling_initial/data/hrSim_CONUS/'\n",
    "\n",
    "fileQ1 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ-UTCsel.nc'\n",
    "fileQ2 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1980_hrQ-UTCsel.nc'\n",
    "fileQ3 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1981_hrQ-UTCsel.nc'\n",
    "\n",
    "fileT1 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrT-UTCsel.nc'\n",
    "fileT2 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1980_hrT-UTCsel.nc'\n",
    "fileT3 = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1981_hrT-UTCsel.nc'\n",
    "\n",
    "fileP  = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979-1981_hrP-levels-UTCsel.nc'\n",
    "\n",
    "filePS  = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979-1981_hrPS-UTCsel.nc'\n",
    "fileT2m = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979-1981_hrTREFHT-UTCsel.nc'\n",
    "fileQ2m = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979-1981_hrQREFHT-UTCsel.nc'\n",
    "fileSH  = mainDir+'f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979-1981_hrSHFLX-UTCsel.nc'\n"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with Q...\n",
      "Done with T... \n",
      "Done with P...\n"
     ]
    }
   ],
   "source": [
    "# Now read in files that have profiles and concat into one DS\n",
    "Q_1979 = xr.open_dataset(fileQ1, decode_times=True)\n",
    "Q_1980 = xr.open_dataset(fileQ2, decode_times=True)\n",
    "Q_1981 = xr.open_dataset(fileQ3, decode_times=True)\n",
    "Q_full = xr.concat([Q_1979, Q_1980,Q_1981], dim=\"time\")\n",
    "print('Done with Q...')\n",
    "\n",
    "T_1979 = xr.open_dataset(fileT1, decode_times=True)\n",
    "T_1980 = xr.open_dataset(fileT2, decode_times=True)\n",
    "T_1981 = xr.open_dataset(fileT3, decode_times=True)\n",
    "T_full = xr.concat([T_1979, T_1980,T_1981], dim=\"time\")\n",
    "print('Done with T... ')\n",
    "\n",
    "P_all  = xr.open_dataset(fileP,  decode_times=True)\n",
    "print('Done with P...')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now read in files (all years, sfc only)\n",
    "PS  = xr.open_dataset(filePS,  decode_times=True)\n",
    "T2m = xr.open_dataset(fileT2m, decode_times=True)\n",
    "Q2m = xr.open_dataset(fileQ2m, decode_times=True)\n",
    "SH  = xr.open_dataset(fileSH, decode_times=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assemble into single dataset (xarray)\n",
    "ds_Full = Q_full\n",
    "ds_Full['Tlev'] = (('time','lev','lat','lon'), T_full.T)\n",
    "ds_Full['Plev'] = (('time','lev','lat','lon'), P_all.PRESSURE)\n",
    "ds_Full['PS'] = (('time','lat','lon'), PS.PS)\n",
    "ds_Full['T2m'] = (('time','lat','lon'), T2m.TREFHT)\n",
    "ds_Full['Q2m'] = (('time','lat','lon'), Q2m.QREFHT)\n",
    "ds_Full['SHF'] = (('time','lat','lon'), SH.SHFLX)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 2.7808608e-06 ... 0.0025378529\n",
       "    UTC_hr   (time) float32 10.0 11.0 12.0 13.0 14.0 ... 11.0 12.0 13.0 14.0\n",
       "    UTC_day  (time) float32 1.0 1.0 1.0 1.0 1.0 2.0 ... 31.0 31.0 31.0 31.0 31.0\n",
       "    UTC_mon  (time) float32 1.0 1.0 1.0 1.0 1.0 1.0 ... 12.0 12.0 12.0 12.0 12.0\n",
       "    UTC_yr   (time) float32 1979.0 1979.0 1979.0 1979.0 ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 250.42609 250.28642 ... 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 364.34656 364.34656 ... 97498.84\n",
       "    PS       (time, lat, lon) float32 102068.03 102079.78 ... 98192.0 98230.06\n",
       "    T2m      (time, lat, lon) float32 293.90747 293.6864 ... 271.09384 271.51926\n",
       "    Q2m      (time, lat, lon) float32 0.011486784 0.011303191 ... 0.0027535888\n",
       "    SHF      (time, lat, lon) float32 39.52112 41.92458 ... 26.336369 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out.</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-f178b198-fd1a-4941-8949-d02493ab2a32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f178b198-fd1a-4941-8949-d02493ab2a32' 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>: 43</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lon</span>: 65</li><li><span class='xr-has-index'>time</span>: 5475</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-477a78e5-ddcd-4f17-a8fc-df277bf20684' class='xr-section-summary-in' type='checkbox'  checked><label for='section-477a78e5-ddcd-4f17-a8fc-df277bf20684' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.26 21.2 22.15 ... 58.9 59.84</div><input id='attrs-748ec56e-1c4c-4319-aa3b-e318ba1179a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-748ec56e-1c4c-4319-aa3b-e318ba1179a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0e1287f-ed5b-4754-b65e-0e3749e778ff' class='xr-var-data-in' type='checkbox'><label for='data-b0e1287f-ed5b-4754-b65e-0e3749e778ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822,\n",
       "       25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272,\n",
       "       31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723,\n",
       "       37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173,\n",
       "       42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623,\n",
       "       48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073,\n",
       "       54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524,\n",
       "       59.842932])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-dc8b636d-3c6e-4bff-ad5f-f9e9da49a8f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc8b636d-3c6e-4bff-ad5f-f9e9da49a8f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-321335ef-4773-4be3-9b95-a7928d7e2b98' class='xr-var-data-in' type='checkbox'><label for='data-321335ef-4773-4be3-9b95-a7928d7e2b98' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>220.0 221.2 222.5 ... 298.8 300.0</div><input id='attrs-032a3a3e-c8a3-4bd2-abdd-0299685e2635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-032a3a3e-c8a3-4bd2-abdd-0299685e2635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0bc1d05-bd8c-402b-890e-743bc10251e3' class='xr-var-data-in' type='checkbox'><label for='data-b0bc1d05-bd8c-402b-890e-743bc10251e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([220.  , 221.25, 222.5 , 223.75, 225.  , 226.25, 227.5 , 228.75, 230.  ,\n",
       "       231.25, 232.5 , 233.75, 235.  , 236.25, 237.5 , 238.75, 240.  , 241.25,\n",
       "       242.5 , 243.75, 245.  , 246.25, 247.5 , 248.75, 250.  , 251.25, 252.5 ,\n",
       "       253.75, 255.  , 256.25, 257.5 , 258.75, 260.  , 261.25, 262.5 , 263.75,\n",
       "       265.  , 266.25, 267.5 , 268.75, 270.  , 271.25, 272.5 , 273.75, 275.  ,\n",
       "       276.25, 277.5 , 278.75, 280.  , 281.25, 282.5 , 283.75, 285.  , 286.25,\n",
       "       287.5 , 288.75, 290.  , 291.25, 292.5 , 293.75, 295.  , 296.25, 297.5 ,\n",
       "       298.75, 300.  ])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-77b156ee-2aa7-4000-ad55-69e024fa745e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77b156ee-2aa7-4000-ad55-69e024fa745e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81e64040-3206-4c35-8158-e6b588704915' class='xr-var-data-in' type='checkbox'><label for='data-81e64040-3206-4c35-8158-e6b588704915' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de0d5b07-2cee-4a68-8add-14f5d58907aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de0d5b07-2cee-4a68-8add-14f5d58907aa' class='xr-section-summary' >Data variables: <span>(11)</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>Q</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.7808608e-06 ... 0.0025378529</div><input id='attrs-7e9dc2fc-3d1b-4bc1-a45c-0d34afec175a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e9dc2fc-3d1b-4bc1-a45c-0d34afec175a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3ae8101-8df4-44bb-a65a-221efdf1c94e' class='xr-var-data-in' type='checkbox'><label for='data-b3ae8101-8df4-44bb-a65a-221efdf1c94e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Specific humidity in UTC time.</dd><dt><span>mixing_ratio :</span></dt><dd>wet</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>mdims :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.78086077e-06, 2.78040625e-06, 2.77977551e-06, ...,\n",
       "          2.79973801e-06, 2.80023528e-06, 2.80099812e-06],\n",
       "         [2.78136258e-06, 2.78060043e-06, 2.77998038e-06, ...,\n",
       "          2.81086818e-06, 2.81165944e-06, 2.81261282e-06],\n",
       "         [2.78712332e-06, 2.78514221e-06, 2.78353559e-06, ...,\n",
       "          2.81744019e-06, 2.81727193e-06, 2.81735606e-06],\n",
       "         ...,\n",
       "         [2.89198283e-06, 2.89368700e-06, 2.89650188e-06, ...,\n",
       "          2.98169834e-06, 2.98098939e-06, 2.98023133e-06],\n",
       "         [2.91195033e-06, 2.91786478e-06, 2.92447885e-06, ...,\n",
       "          2.99068438e-06, 2.98977261e-06, 2.98876512e-06],\n",
       "         [2.94461665e-06, 2.94866436e-06, 2.95203313e-06, ...,\n",
       "          3.00234251e-06, 3.00111628e-06, 2.99972635e-06]],\n",
       "\n",
       "        [[2.83152576e-06, 2.83247459e-06, 2.83333407e-06, ...,\n",
       "          2.77008212e-06, 2.76819924e-06, 2.76262631e-06],\n",
       "         [2.83592408e-06, 2.83452982e-06, 2.83444001e-06, ...,\n",
       "          2.78089556e-06, 2.77564573e-06, 2.76867604e-06],\n",
       "         [2.84836506e-06, 2.84422231e-06, 2.84101657e-06, ...,\n",
       "          2.78041762e-06, 2.77457343e-06, 2.76732771e-06],\n",
       "...\n",
       "          1.76861335e-03, 1.58359925e-03, 1.61160249e-03],\n",
       "         [9.00063082e-04, 7.07263651e-04, 1.76084781e-04, ...,\n",
       "          1.88376429e-03, 1.94511400e-03, 1.96180330e-03],\n",
       "         [5.98822080e-04, 3.08478368e-04, 1.64129378e-04, ...,\n",
       "          2.39867205e-03, 2.48796889e-03, 2.48786039e-03]],\n",
       "\n",
       "        [[1.02614658e-02, 1.01593593e-02, 1.01258010e-02, ...,\n",
       "          1.48009053e-02, 1.45442449e-02, 1.43121704e-02],\n",
       "         [1.03878444e-02, 1.03129353e-02, 1.01744710e-02, ...,\n",
       "          1.40793817e-02, 1.41021237e-02, 1.39209637e-02],\n",
       "         [1.04870852e-02, 1.03323124e-02, 1.01964539e-02, ...,\n",
       "          1.34062218e-02, 1.33754974e-02, 1.32172545e-02],\n",
       "         ...,\n",
       "         [1.16167532e-03, 1.09279959e-03, 9.77688353e-04, ...,\n",
       "          1.80401420e-03, 1.60616951e-03, 1.63279858e-03],\n",
       "         [9.48438363e-04, 7.73845299e-04, 1.92549269e-04, ...,\n",
       "          1.91587466e-03, 1.97351235e-03, 1.99264078e-03],\n",
       "         [6.56158663e-04, 4.40484553e-04, 1.01461417e-04, ...,\n",
       "          2.44922843e-03, 2.55337171e-03, 2.53785285e-03]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_hr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.0 11.0 12.0 ... 12.0 13.0 14.0</div><input id='attrs-9f8e11d0-da64-4bd5-b4f4-b42856037d7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f8e11d0-da64-4bd5-b4f4-b42856037d7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dcb379f-2d38-4279-bc83-e06dcdc755a8' class='xr-var-data-in' type='checkbox'><label for='data-8dcb379f-2d38-4279-bc83-e06dcdc755a8' 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>Hour in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([10., 11., 12., ..., 12., 13., 14.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_day</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 31.0 31.0 31.0</div><input id='attrs-5a8eeb2a-db78-498d-932b-cde61b1adcf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a8eeb2a-db78-498d-932b-cde61b1adcf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bbe0af4-32a5-48cd-aaaa-36792fe6f75f' class='xr-var-data-in' type='checkbox'><label for='data-7bbe0af4-32a5-48cd-aaaa-36792fe6f75f' 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>Day in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  1.,  1., ..., 31., 31., 31.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_mon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 12.0 12.0 12.0</div><input id='attrs-d9461551-4747-44a0-ad7d-6e1f96b50e55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9461551-4747-44a0-ad7d-6e1f96b50e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fde833ee-1318-4b8c-a700-b4120c1b1c23' class='xr-var-data-in' type='checkbox'><label for='data-fde833ee-1318-4b8c-a700-b4120c1b1c23' 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>Mon in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  1.,  1., ..., 12., 12., 12.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_yr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1979.0 1979.0 ... 1981.0 1981.0</div><input id='attrs-0a90ed89-cb4e-4b87-9370-ffa4b02808f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a90ed89-cb4e-4b87-9370-ffa4b02808f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae87a8e3-3281-4331-932d-108442f2a0b0' class='xr-var-data-in' type='checkbox'><label for='data-ae87a8e3-3281-4331-932d-108442f2a0b0' 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>Yr in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([1979., 1979., 1979., ..., 1981., 1981., 1981.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tlev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>250.42609 250.28642 ... 270.61188</div><input id='attrs-e853bc68-cd11-41fe-b16c-b85a437869af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e853bc68-cd11-41fe-b16c-b85a437869af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edf2923f-3090-4aeb-8071-1d24300ca2c6' class='xr-var-data-in' type='checkbox'><label for='data-edf2923f-3090-4aeb-8071-1d24300ca2c6' 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([[[[250.42609, 250.28642, 250.14624, ..., 248.18066, 248.23183,\n",
       "          248.29518],\n",
       "         [250.26886, 250.1536 , 250.033  , ..., 248.08951, 248.14632,\n",
       "          248.22221],\n",
       "         [250.06104, 249.97658, 249.88376, ..., 247.8755 , 247.93837,\n",
       "          248.02246],\n",
       "         ...,\n",
       "         [218.46867, 218.38773, 218.20667, ..., 212.1269 , 212.12334,\n",
       "          212.08595],\n",
       "         [217.56087, 217.50012, 217.30353, ..., 211.62042, 211.61778,\n",
       "          211.59836],\n",
       "         [216.57446, 216.49031, 216.29308, ..., 211.11174, 211.10512,\n",
       "          211.0914 ]],\n",
       "\n",
       "        [[235.94069, 235.84145, 235.74237, ..., 234.66425, 234.71324,\n",
       "          234.7687 ],\n",
       "         [235.71893, 235.6486 , 235.58376, ..., 234.82843, 234.87785,\n",
       "          234.94028],\n",
       "         [235.3057 , 235.2583 , 235.22467, ..., 234.87209, 234.93665,\n",
       "          235.00438],\n",
       "...\n",
       "         [261.1544 , 258.60855, 255.74565, ..., 265.94687, 267.09314,\n",
       "          267.53833],\n",
       "         [258.02972, 253.15683, 244.74489, ..., 267.19034, 268.02277,\n",
       "          268.42886],\n",
       "         [250.37347, 244.28221, 239.8702 , ..., 268.28964, 268.925  ,\n",
       "          269.31384]],\n",
       "\n",
       "        [[293.3083 , 292.98926, 292.68802, ..., 297.0505 , 296.97266,\n",
       "          296.93478],\n",
       "         [293.10632, 292.7815 , 292.5029 , ..., 296.70483, 296.57758,\n",
       "          296.51996],\n",
       "         [292.8373 , 292.52957, 292.30405, ..., 296.2661 , 296.23694,\n",
       "          296.2622 ],\n",
       "         ...,\n",
       "         [262.46725, 259.9523 , 257.14902, ..., 267.2067 , 268.36346,\n",
       "          268.80783],\n",
       "         [259.37192, 254.61285, 239.69476, ..., 268.4626 , 269.30063,\n",
       "          269.7102 ],\n",
       "         [251.77733, 245.56032, 234.18895, ..., 269.57468, 270.21024,\n",
       "          270.61188]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>364.34656 364.34656 ... 97498.84</div><input id='attrs-7257b56d-ebda-4f52-8122-e3b2a00ab0e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7257b56d-ebda-4f52-8122-e3b2a00ab0e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-880971b0-ab0e-4b03-ac3d-9e5cdbdd84d2' class='xr-var-data-in' type='checkbox'><label for='data-880971b0-ab0e-4b03-ac3d-9e5cdbdd84d2' 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([[[[   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656],\n",
       "         [   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656],\n",
       "         [   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656],\n",
       "         ...,\n",
       "         [   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656],\n",
       "         [   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656],\n",
       "         [   364.34656,    364.34656,    364.34656, ...,    364.34656,\n",
       "             364.34656,    364.34656]],\n",
       "\n",
       "        [[   759.482  ,    759.482  ,    759.482  , ...,    759.482  ,\n",
       "             759.482  ,    759.482  ],\n",
       "         [   759.482  ,    759.482  ,    759.482  , ...,    759.482  ,\n",
       "             759.482  ,    759.482  ],\n",
       "         [   759.482  ,    759.482  ,    759.482  , ...,    759.482  ,\n",
       "             759.482  ,    759.482  ],\n",
       "...\n",
       "         [ 99369.125  ,  98597.69   ,  97500.85   , ...,  93203.664  ,\n",
       "           94915.73   ,  95726.484  ],\n",
       "         [ 97159.25   ,  95314.875  ,  93284.164  , ...,  94236.67   ,\n",
       "           95438.375  ,  95882.42   ],\n",
       "         [ 89667.81   ,  88454.48   ,  87731.695  , ...,  95409.85   ,\n",
       "           95870.94   ,  95908.02   ]],\n",
       "\n",
       "        [[101078.82   , 101102.92   , 101120.375  , ..., 101398.21   ,\n",
       "          101418.23   , 101431.01   ],\n",
       "         [101139.73   , 101163.43   , 101183.03   , ..., 101467.39   ,\n",
       "          101480.766  , 101497.38   ],\n",
       "         [101207.59   , 101232.6    , 101249.11   , ..., 101545.7    ,\n",
       "          101551.54   , 101559.96   ],\n",
       "         ...,\n",
       "         [101024.67   , 100238.805  ,  99121.46   , ...,  94743.914  ,\n",
       "           96487.99   ,  97313.91   ],\n",
       "         [ 98773.47   ,  96894.61   ,  94825.914  , ...,  95796.24   ,\n",
       "           97020.414  ,  97472.76   ],\n",
       "         [ 91141.945  ,  89905.914  ,  89169.62   , ...,  96991.36   ,\n",
       "           97461.07   ,  97498.84   ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</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'>102068.03 102079.78 ... 98230.06</div><input id='attrs-2c4312cd-fa99-4458-a2a4-55f1f31543be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2c4312cd-fa99-4458-a2a4-55f1f31543be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f7fb75f-4fd9-4aae-8e39-7a008e4537ee' class='xr-var-data-in' type='checkbox'><label for='data-6f7fb75f-4fd9-4aae-8e39-7a008e4537ee' 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([[[102068.03 , 102079.78 , 102098.38 , ..., 101945.01 ,\n",
       "         101926.77 , 101904.86 ],\n",
       "        [102176.31 , 102195.305, 102211.03 , ..., 102056.336,\n",
       "         102045.96 , 102026.766],\n",
       "        [102286.6  , 102307.26 , 102314.41 , ..., 102182.66 ,\n",
       "         102164.46 , 102146.35 ],\n",
       "        ...,\n",
       "        [100037.39 ,  99459.68 ,  98601.4  , ...,  96038.84 ,\n",
       "          97893.2  ,  98744.5  ],\n",
       "        [ 97703.734,  96107.97 ,  94273.61 , ...,  96789.23 ,\n",
       "          98111.15 ,  98580.75 ],\n",
       "        [ 90511.08 ,  89315.39 ,  88640.6  , ...,  97764.83 ,\n",
       "          98284.19 ,  98321.766]],\n",
       "\n",
       "       [[102024.99 , 102032.04 , 102047.586, ..., 101969.79 ,\n",
       "         101953.56 , 101932.664],\n",
       "        [102132.5  , 102147.99 , 102162.15 , ..., 102077.164,\n",
       "         102067.26 , 102051.15 ],\n",
       "        [102245.82 , 102262.72 , 102271.05 , ..., 102196.58 ,\n",
       "         102178.72 , 102164.05 ],\n",
       "...\n",
       "        [101783.42 , 100995.71 ,  99867.02 , ...,  95423.414,\n",
       "          97185.11 ,  98036.13 ],\n",
       "        [ 99514.54 ,  97622.08 ,  95535.22 , ...,  96519.4  ,\n",
       "          97764.984,  98232.22 ],\n",
       "        [ 91833.76 ,  90588.91 ,  89841.03 , ...,  97719.62 ,\n",
       "          98213.586,  98270.35 ]],\n",
       "\n",
       "       [[101836.88 , 101861.164, 101878.75 , ..., 102158.67 ,\n",
       "         102178.836, 102191.71 ],\n",
       "        [101898.25 , 101922.125, 101941.875, ..., 102228.37 ,\n",
       "         102241.84 , 102258.586],\n",
       "        [101966.625, 101991.82 , 102008.45 , ..., 102307.266,\n",
       "         102313.15 , 102321.63 ],\n",
       "        ...,\n",
       "        [101782.33 , 100990.57 ,  99864.84 , ...,  95454.47 ,\n",
       "          97211.625,  98043.734],\n",
       "        [ 99514.24 ,  97621.29 ,  95537.086, ...,  96514.69 ,\n",
       "          97748.04 ,  98203.78 ],\n",
       "        [ 91825.484,  90580.19 ,  89838.37 , ...,  97718.766,\n",
       "          98192.   ,  98230.06 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2m</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'>293.90747 293.6864 ... 271.51926</div><input id='attrs-3a3d93f8-eee2-4fd5-a9ff-d3e16ad7fbb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a3d93f8-eee2-4fd5-a9ff-d3e16ad7fbb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ec92bd6-e0cc-4a0f-8eb6-7f6198ed36e2' class='xr-var-data-in' type='checkbox'><label for='data-0ec92bd6-e0cc-4a0f-8eb6-7f6198ed36e2' 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([[[293.90747, 293.6864 , 293.51004, ..., 297.85977, 297.7836 ,\n",
       "         297.79803],\n",
       "        [293.52835, 293.30334, 293.05682, ..., 297.56564, 297.48126,\n",
       "         297.43344],\n",
       "        [293.19296, 292.92856, 292.69818, ..., 297.23895, 297.1924 ,\n",
       "         297.11664],\n",
       "        ...,\n",
       "        [278.95963, 278.57352, 276.82712, ..., 247.6405 , 252.39215,\n",
       "         256.4636 ],\n",
       "        [276.93912, 276.0765 , 271.914  , ..., 252.1727 , 255.57816,\n",
       "         258.6631 ],\n",
       "        [273.68378, 271.59717, 267.28824, ..., 255.0083 , 258.09164,\n",
       "         260.27948]],\n",
       "\n",
       "       [[293.8441 , 293.62173, 293.4606 , ..., 297.86307, 297.8145 ,\n",
       "         297.81638],\n",
       "        [293.48282, 293.2407 , 293.0083 , ..., 297.5916 , 297.50552,\n",
       "         297.46597],\n",
       "        [293.13004, 292.8779 , 292.6625 , ..., 297.23047, 297.22208,\n",
       "         297.111  ],\n",
       "...\n",
       "        [265.06982, 262.893  , 260.5198 , ..., 267.15927, 268.98206,\n",
       "         269.32565],\n",
       "        [262.38138, 257.7154 , 239.64775, ..., 269.0444 , 269.9521 ,\n",
       "         270.30597],\n",
       "        [254.16795, 245.35033, 233.83397, ..., 270.3913 , 270.9247 ,\n",
       "         271.2582 ]],\n",
       "\n",
       "       [[294.3354 , 294.03134, 293.71902, ..., 297.92224, 297.84293,\n",
       "         297.80713],\n",
       "        [294.1121 , 293.8042 , 293.51575, ..., 297.58405, 297.4628 ,\n",
       "         297.39835],\n",
       "        [293.83115, 293.54178, 293.3073 , ..., 297.16217, 297.11652,\n",
       "         297.11893],\n",
       "        ...,\n",
       "        [264.9682 , 262.85565, 260.40643, ..., 267.3478 , 269.32535,\n",
       "         269.78006],\n",
       "        [262.30142, 257.6048 , 239.4861 , ..., 269.23486, 270.2335 ,\n",
       "         270.64502],\n",
       "        [254.08711, 245.2119 , 233.63533, ..., 270.51587, 271.09384,\n",
       "         271.51926]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2m</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'>0.011486784 ... 0.0027535888</div><input id='attrs-3ba98430-cb87-483a-be46-381773b9d18e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ba98430-cb87-483a-be46-381773b9d18e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c31bb15-96b7-40e7-8950-ec8b393bcff7' class='xr-var-data-in' type='checkbox'><label for='data-6c31bb15-96b7-40e7-8950-ec8b393bcff7' 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([[[1.14867836e-02, 1.13031911e-02, 1.10679083e-02, ...,\n",
       "         1.53330453e-02, 1.52907036e-02, 1.53392190e-02],\n",
       "        [1.11766579e-02, 1.09012071e-02, 1.06608151e-02, ...,\n",
       "         1.50418095e-02, 1.50017021e-02, 1.49660660e-02],\n",
       "        [1.07901786e-02, 1.05126482e-02, 1.03168357e-02, ...,\n",
       "         1.44011835e-02, 1.44448150e-02, 1.44830262e-02],\n",
       "        ...,\n",
       "        [5.24618011e-03, 5.14069572e-03, 4.93255025e-03, ...,\n",
       "         3.95295327e-04, 6.63765240e-04, 1.03074196e-03],\n",
       "        [5.01462445e-03, 4.75418475e-03, 3.60349007e-03, ...,\n",
       "         5.91021206e-04, 8.89405666e-04, 1.20275677e-03],\n",
       "        [4.23123455e-03, 3.71241849e-03, 2.65380042e-03, ...,\n",
       "         8.11859965e-04, 1.15270924e-03, 1.38282334e-03]],\n",
       "\n",
       "       [[1.14389667e-02, 1.12728626e-02, 1.10542849e-02, ...,\n",
       "         1.53047787e-02, 1.52970320e-02, 1.53121306e-02],\n",
       "        [1.11185154e-02, 1.08421128e-02, 1.06365513e-02, ...,\n",
       "         1.49868065e-02, 1.49109242e-02, 1.48709202e-02],\n",
       "        [1.07442504e-02, 1.05183739e-02, 1.03285322e-02, ...,\n",
       "         1.43724773e-02, 1.44062629e-02, 1.44620650e-02],\n",
       "...\n",
       "        [1.66518835e-03, 1.63106341e-03, 1.53079513e-03, ...,\n",
       "         1.95600931e-03, 1.84516748e-03, 1.83062791e-03],\n",
       "        [1.50897517e-03, 1.22680562e-03, 1.89824292e-04, ...,\n",
       "         1.94607431e-03, 1.98515644e-03, 1.97670865e-03],\n",
       "        [9.87842213e-04, 4.56926035e-04, 9.48626257e-05, ...,\n",
       "         2.60594254e-03, 2.63270643e-03, 2.66633532e-03]],\n",
       "\n",
       "       [[1.13693215e-02, 1.12330541e-02, 1.11443233e-02, ...,\n",
       "         1.56878177e-02, 1.54414363e-02, 1.52255744e-02],\n",
       "        [1.14101851e-02, 1.13048758e-02, 1.11352522e-02, ...,\n",
       "         1.49956066e-02, 1.49867600e-02, 1.48030967e-02],\n",
       "        [1.14367800e-02, 1.12730870e-02, 1.11194737e-02, ...,\n",
       "         1.43089704e-02, 1.42586576e-02, 1.40987365e-02],\n",
       "        ...,\n",
       "        [1.67058466e-03, 1.63822982e-03, 1.53528352e-03, ...,\n",
       "         1.96609786e-03, 1.84815773e-03, 1.86392432e-03],\n",
       "        [1.50637550e-03, 1.22192409e-03, 1.87451617e-04, ...,\n",
       "         2.11493368e-03, 2.19367142e-03, 2.22565210e-03],\n",
       "        [9.83052421e-04, 4.53165179e-04, 9.25816057e-05, ...,\n",
       "         2.63746129e-03, 2.73868674e-03, 2.75358884e-03]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF</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'>39.52112 41.92458 ... 28.1356</div><input id='attrs-1fe3a556-b51e-446d-b8d6-4c59db7850f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1fe3a556-b51e-446d-b8d6-4c59db7850f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7701dbaf-651d-450b-95d5-4f0b69826261' class='xr-var-data-in' type='checkbox'><label for='data-7701dbaf-651d-450b-95d5-4f0b69826261' 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([[[ 3.95211182e+01,  4.19245796e+01,  4.46588898e+01, ...,\n",
       "          3.24018555e+01,  3.16118336e+01,  2.95429211e+01],\n",
       "        [ 3.88123016e+01,  4.18553276e+01,  4.35411797e+01, ...,\n",
       "          3.50743980e+01,  3.40490761e+01,  3.30452461e+01],\n",
       "        [ 3.81399002e+01,  4.19566040e+01,  4.22343025e+01, ...,\n",
       "          3.64033966e+01,  3.54695129e+01,  3.51769638e+01],\n",
       "        ...,\n",
       "        [ 6.16072655e-01,  1.08028316e+01,  3.70455894e+01, ...,\n",
       "          4.32918434e+01,  2.64307709e+02,  4.55240967e+02],\n",
       "        [ 3.10725632e+01,  9.75811100e+00, -5.33608627e+00, ...,\n",
       "          1.04829491e+02,  3.33787720e+02,  4.86352539e+02],\n",
       "        [ 4.79833841e+00,  1.15911274e+01, -7.36559391e-01, ...,\n",
       "          1.69749283e+02,  4.33580933e+02,  5.06442596e+02]],\n",
       "\n",
       "       [[ 4.08209572e+01,  4.34455566e+01,  4.61175194e+01, ...,\n",
       "          3.28471832e+01,  3.14349270e+01,  2.95784779e+01],\n",
       "        [ 3.96577911e+01,  4.31845779e+01,  4.47289848e+01, ...,\n",
       "          3.47676811e+01,  3.40179214e+01,  3.28369751e+01],\n",
       "        [ 3.92313538e+01,  4.28844070e+01,  4.28608551e+01, ...,\n",
       "          3.66022568e+01,  3.50215225e+01,  3.54837570e+01],\n",
       "...\n",
       "          1.02741909e+01,  4.28182755e+01,  4.10116997e+01],\n",
       "        [ 4.97044525e+02,  5.37596069e+02, -1.70879245e-01, ...,\n",
       "          2.84430523e+01,  3.12456398e+01,  3.05952682e+01],\n",
       "        [ 4.02628693e+02,  1.03635048e+02, -3.77055016e+01, ...,\n",
       "          2.73580399e+01,  2.27485332e+01,  2.60316029e+01]],\n",
       "\n",
       "       [[ 4.20090141e+01,  4.36087494e+01,  4.21003990e+01, ...,\n",
       "          2.01215897e+01,  1.97525749e+01,  1.91461029e+01],\n",
       "        [ 3.91356430e+01,  4.09737015e+01,  3.97378578e+01, ...,\n",
       "          2.07041016e+01,  2.10215511e+01,  2.02486973e+01],\n",
       "        [ 3.74241257e+01,  3.94961929e+01,  3.84292603e+01, ...,\n",
       "          2.08790874e+01,  2.05970078e+01,  1.89127083e+01],\n",
       "        ...,\n",
       "        [ 3.71989838e+02,  4.93933289e+02,  6.04174072e+02, ...,\n",
       "          8.54603481e+00,  3.95466614e+01,  3.71824837e+01],\n",
       "        [ 4.97750549e+02,  5.40169495e+02,  3.53434920e-01, ...,\n",
       "          2.91830769e+01,  3.22197723e+01,  3.17852879e+01],\n",
       "        [ 4.03546875e+02,  1.05670631e+02, -3.73937111e+01, ...,\n",
       "          3.20807495e+01,  2.63363686e+01,  2.81355991e+01]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a615a62-f677-4c13-8663-fff4b95547fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a615a62-f677-4c13-8663-fff4b95547fc' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Aug 31 17:46:50 MDT 2020</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_file :</span></dt><dd>/glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ.nc</dd><dt><span>title :</span></dt><dd>NCL used to get UTC; 4 early morning hours saved out.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 2.7808608e-06 ... 0.0025378529\n",
       "    UTC_hr   (time) float32 10.0 11.0 12.0 13.0 14.0 ... 11.0 12.0 13.0 14.0\n",
       "    UTC_day  (time) float32 1.0 1.0 1.0 1.0 1.0 2.0 ... 31.0 31.0 31.0 31.0 31.0\n",
       "    UTC_mon  (time) float32 1.0 1.0 1.0 1.0 1.0 1.0 ... 12.0 12.0 12.0 12.0 12.0\n",
       "    UTC_yr   (time) float32 1979.0 1979.0 1979.0 1979.0 ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 250.42609 250.28642 ... 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 364.34656 364.34656 ... 97498.84\n",
       "    PS       (time, lat, lon) float32 102068.03 102079.78 ... 98192.0 98230.06\n",
       "    T2m      (time, lat, lon) float32 293.90747 293.6864 ... 271.09384 271.51926\n",
       "    Q2m      (time, lat, lon) float32 0.011486784 0.011303191 ... 0.0027535888\n",
       "    SHF      (time, lat, lon) float32 39.52112 41.92458 ... 26.336369 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_Full"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now try Ahmed's version "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find fortran code here: ~/opt/anaconda3/lib/python3.7/site-packages/comet/metrics/fortran"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Q</th>\n",
       "      <th>time</th>\n",
       "      <th>UTC_hr</th>\n",
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       "      <th>Tlev</th>\n",
       "      <th>Plev</th>\n",
       "      <th>PS</th>\n",
       "      <th>T2m</th>\n",
       "      <th>Q2m</th>\n",
       "      <th>SHF</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lev</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>3.643466</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>238.908295</td>\n",
       "      <td>364.346558</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.594820</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>229.048523</td>\n",
       "      <td>759.481995</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
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       "    <tr>\n",
       "      <th>14.356632</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>220.940231</td>\n",
       "      <td>1435.663208</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.612220</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>215.637268</td>\n",
       "      <td>2461.221924</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.923250</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>211.150925</td>\n",
       "      <td>3592.324951</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.193750</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>209.189697</td>\n",
       "      <td>4319.375000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51.677499</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.920319</td>\n",
       "      <td>5167.750000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61.520498</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.280960</td>\n",
       "      <td>6152.049805</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73.750958</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>206.494720</td>\n",
       "      <td>7375.095703</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87.821230</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>205.885178</td>\n",
       "      <td>8782.123047</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103.317127</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>205.019226</td>\n",
       "      <td>10331.712891</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121.547241</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>204.861328</td>\n",
       "      <td>12154.723633</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142.994039</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>206.108215</td>\n",
       "      <td>14299.404297</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168.225080</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.475571</td>\n",
       "      <td>16822.507812</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197.908087</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>210.439285</td>\n",
       "      <td>19848.183594</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232.828619</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>217.156464</td>\n",
       "      <td>23465.109375</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273.910817</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>225.682678</td>\n",
       "      <td>27720.236328</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322.241902</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>235.517059</td>\n",
       "      <td>32726.173828</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379.100904</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>246.246185</td>\n",
       "      <td>38615.398438</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445.992574</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>256.322845</td>\n",
       "      <td>45543.765625</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524.687175</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000831</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>265.939606</td>\n",
       "      <td>53694.632812</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609.778695</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001095</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>273.516693</td>\n",
       "      <td>62508.066406</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691.389430</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.002905</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>280.828491</td>\n",
       "      <td>70960.976562</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763.404481</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.002614</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.616180</td>\n",
       "      <td>78420.000000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820.858369</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001117</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.855835</td>\n",
       "      <td>84370.843750</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859.534767</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000927</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>283.329773</td>\n",
       "      <td>88376.781250</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887.020249</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001057</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>284.090881</td>\n",
       "      <td>91223.617188</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912.644547</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001331</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>284.106262</td>\n",
       "      <td>93877.679688</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936.198398</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.006129</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.656494</td>\n",
       "      <td>96317.289062</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957.485480</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.007609</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>283.960327</td>\n",
       "      <td>98522.117188</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976.325407</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.007749</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>285.500671</td>\n",
       "      <td>100473.484375</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992.556095</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.008011</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>286.987427</td>\n",
       "      <td>102149.679688</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  lat    lon         Q                 time  UTC_hr  UTC_day  \\\n",
       "lev                                                                            \n",
       "3.643466    29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "7.594820    29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "14.356632   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "24.612220   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "35.923250   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "43.193750   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "51.677499   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "61.520498   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "73.750958   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "87.821230   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "103.317127  29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "121.547241  29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "142.994039  29.685864  232.5  0.000004  1979-01-03 10:00:00    10.0      3.0   \n",
       "168.225080  29.685864  232.5  0.000011  1979-01-03 10:00:00    10.0      3.0   \n",
       "197.908087  29.685864  232.5  0.000015  1979-01-03 10:00:00    10.0      3.0   \n",
       "232.828619  29.685864  232.5  0.000029  1979-01-03 10:00:00    10.0      3.0   \n",
       "273.910817  29.685864  232.5  0.000050  1979-01-03 10:00:00    10.0      3.0   \n",
       "322.241902  29.685864  232.5  0.000106  1979-01-03 10:00:00    10.0      3.0   \n",
       "379.100904  29.685864  232.5  0.000089  1979-01-03 10:00:00    10.0      3.0   \n",
       "445.992574  29.685864  232.5  0.000168  1979-01-03 10:00:00    10.0      3.0   \n",
       "524.687175  29.685864  232.5  0.000831  1979-01-03 10:00:00    10.0      3.0   \n",
       "609.778695  29.685864  232.5  0.001095  1979-01-03 10:00:00    10.0      3.0   \n",
       "691.389430  29.685864  232.5  0.002905  1979-01-03 10:00:00    10.0      3.0   \n",
       "763.404481  29.685864  232.5  0.002614  1979-01-03 10:00:00    10.0      3.0   \n",
       "820.858369  29.685864  232.5  0.001117  1979-01-03 10:00:00    10.0      3.0   \n",
       "859.534767  29.685864  232.5  0.000927  1979-01-03 10:00:00    10.0      3.0   \n",
       "887.020249  29.685864  232.5  0.001057  1979-01-03 10:00:00    10.0      3.0   \n",
       "912.644547  29.685864  232.5  0.001331  1979-01-03 10:00:00    10.0      3.0   \n",
       "936.198398  29.685864  232.5  0.006129  1979-01-03 10:00:00    10.0      3.0   \n",
       "957.485480  29.685864  232.5  0.007609  1979-01-03 10:00:00    10.0      3.0   \n",
       "976.325407  29.685864  232.5  0.007749  1979-01-03 10:00:00    10.0      3.0   \n",
       "992.556095  29.685864  232.5  0.008011  1979-01-03 10:00:00    10.0      3.0   \n",
       "\n",
       "            UTC_mon  UTC_yr        Tlev           Plev             PS  \\\n",
       "lev                                                                     \n",
       "3.643466        1.0  1979.0  238.908295     364.346558  102915.773438   \n",
       "7.594820        1.0  1979.0  229.048523     759.481995  102915.773438   \n",
       "14.356632       1.0  1979.0  220.940231    1435.663208  102915.773438   \n",
       "24.612220       1.0  1979.0  215.637268    2461.221924  102915.773438   \n",
       "35.923250       1.0  1979.0  211.150925    3592.324951  102915.773438   \n",
       "43.193750       1.0  1979.0  209.189697    4319.375000  102915.773438   \n",
       "51.677499       1.0  1979.0  207.920319    5167.750000  102915.773438   \n",
       "61.520498       1.0  1979.0  207.280960    6152.049805  102915.773438   \n",
       "73.750958       1.0  1979.0  206.494720    7375.095703  102915.773438   \n",
       "87.821230       1.0  1979.0  205.885178    8782.123047  102915.773438   \n",
       "103.317127      1.0  1979.0  205.019226   10331.712891  102915.773438   \n",
       "121.547241      1.0  1979.0  204.861328   12154.723633  102915.773438   \n",
       "142.994039      1.0  1979.0  206.108215   14299.404297  102915.773438   \n",
       "168.225080      1.0  1979.0  207.475571   16822.507812  102915.773438   \n",
       "197.908087      1.0  1979.0  210.439285   19848.183594  102915.773438   \n",
       "232.828619      1.0  1979.0  217.156464   23465.109375  102915.773438   \n",
       "273.910817      1.0  1979.0  225.682678   27720.236328  102915.773438   \n",
       "322.241902      1.0  1979.0  235.517059   32726.173828  102915.773438   \n",
       "379.100904      1.0  1979.0  246.246185   38615.398438  102915.773438   \n",
       "445.992574      1.0  1979.0  256.322845   45543.765625  102915.773438   \n",
       "524.687175      1.0  1979.0  265.939606   53694.632812  102915.773438   \n",
       "609.778695      1.0  1979.0  273.516693   62508.066406  102915.773438   \n",
       "691.389430      1.0  1979.0  280.828491   70960.976562  102915.773438   \n",
       "763.404481      1.0  1979.0  282.616180   78420.000000  102915.773438   \n",
       "820.858369      1.0  1979.0  282.855835   84370.843750  102915.773438   \n",
       "859.534767      1.0  1979.0  283.329773   88376.781250  102915.773438   \n",
       "887.020249      1.0  1979.0  284.090881   91223.617188  102915.773438   \n",
       "912.644547      1.0  1979.0  284.106262   93877.679688  102915.773438   \n",
       "936.198398      1.0  1979.0  282.656494   96317.289062  102915.773438   \n",
       "957.485480      1.0  1979.0  283.960327   98522.117188  102915.773438   \n",
       "976.325407      1.0  1979.0  285.500671  100473.484375  102915.773438   \n",
       "992.556095      1.0  1979.0  286.987427  102149.679688  102915.773438   \n",
       "\n",
       "                   T2m       Q2m        SHF  \n",
       "lev                                          \n",
       "3.643466    288.028412  0.008617  44.088383  \n",
       "7.594820    288.028412  0.008617  44.088383  \n",
       "14.356632   288.028412  0.008617  44.088383  \n",
       "24.612220   288.028412  0.008617  44.088383  \n",
       "35.923250   288.028412  0.008617  44.088383  \n",
       "43.193750   288.028412  0.008617  44.088383  \n",
       "51.677499   288.028412  0.008617  44.088383  \n",
       "61.520498   288.028412  0.008617  44.088383  \n",
       "73.750958   288.028412  0.008617  44.088383  \n",
       "87.821230   288.028412  0.008617  44.088383  \n",
       "103.317127  288.028412  0.008617  44.088383  \n",
       "121.547241  288.028412  0.008617  44.088383  \n",
       "142.994039  288.028412  0.008617  44.088383  \n",
       "168.225080  288.028412  0.008617  44.088383  \n",
       "197.908087  288.028412  0.008617  44.088383  \n",
       "232.828619  288.028412  0.008617  44.088383  \n",
       "273.910817  288.028412  0.008617  44.088383  \n",
       "322.241902  288.028412  0.008617  44.088383  \n",
       "379.100904  288.028412  0.008617  44.088383  \n",
       "445.992574  288.028412  0.008617  44.088383  \n",
       "524.687175  288.028412  0.008617  44.088383  \n",
       "609.778695  288.028412  0.008617  44.088383  \n",
       "691.389430  288.028412  0.008617  44.088383  \n",
       "763.404481  288.028412  0.008617  44.088383  \n",
       "820.858369  288.028412  0.008617  44.088383  \n",
       "859.534767  288.028412  0.008617  44.088383  \n",
       "887.020249  288.028412  0.008617  44.088383  \n",
       "912.644547  288.028412  0.008617  44.088383  \n",
       "936.198398  288.028412  0.008617  44.088383  \n",
       "957.485480  288.028412  0.008617  44.088383  \n",
       "976.325407  288.028412  0.008617  44.088383  \n",
       "992.556095  288.028412  0.008617  44.088383  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iLat  = 10\n",
    "iLon  = 10 \n",
    "iTime = 10 \n",
    "\n",
    "DF = ds_Full.isel(lat=iLat,lon=iLon,time=iTime).to_dataframe()\n",
    "DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Q</th>\n",
       "      <th>time</th>\n",
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       "      <th>lev</th>\n",
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       "      <th></th>\n",
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       "      <td>232.5</td>\n",
       "      <td>0.008011</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
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       "      <th>976.325407</th>\n",
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       "      <td>0.007749</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>285.500671</td>\n",
       "      <td>100473.484375</td>\n",
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       "    <tr>\n",
       "      <th>936.198398</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.006129</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.656494</td>\n",
       "      <td>96317.289062</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912.644547</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001331</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>284.106262</td>\n",
       "      <td>93877.679688</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887.020249</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001057</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>284.090881</td>\n",
       "      <td>91223.617188</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859.534767</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000927</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>283.329773</td>\n",
       "      <td>88376.781250</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820.858369</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001117</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.855835</td>\n",
       "      <td>84370.843750</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763.404481</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.002614</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>282.616180</td>\n",
       "      <td>78420.000000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691.389430</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.002905</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>280.828491</td>\n",
       "      <td>70960.976562</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609.778695</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.001095</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>273.516693</td>\n",
       "      <td>62508.066406</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524.687175</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000831</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>265.939606</td>\n",
       "      <td>53694.632812</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445.992574</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>256.322845</td>\n",
       "      <td>45543.765625</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379.100904</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>246.246185</td>\n",
       "      <td>38615.398438</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322.241902</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>235.517059</td>\n",
       "      <td>32726.173828</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273.910817</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000050</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>225.682678</td>\n",
       "      <td>27720.236328</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232.828619</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>217.156464</td>\n",
       "      <td>23465.109375</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197.908087</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>210.439285</td>\n",
       "      <td>19848.183594</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168.225080</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.475571</td>\n",
       "      <td>16822.507812</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142.994039</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>206.108215</td>\n",
       "      <td>14299.404297</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121.547241</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>204.861328</td>\n",
       "      <td>12154.723633</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103.317127</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>205.019226</td>\n",
       "      <td>10331.712891</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87.821230</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>205.885178</td>\n",
       "      <td>8782.123047</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73.750958</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>206.494720</td>\n",
       "      <td>7375.095703</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61.520498</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.280960</td>\n",
       "      <td>6152.049805</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51.677499</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>207.920319</td>\n",
       "      <td>5167.750000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43.193750</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>209.189697</td>\n",
       "      <td>4319.375000</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35.923250</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>211.150925</td>\n",
       "      <td>3592.324951</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.612220</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>215.637268</td>\n",
       "      <td>2461.221924</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.356632</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>220.940231</td>\n",
       "      <td>1435.663208</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.594820</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>229.048523</td>\n",
       "      <td>759.481995</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.643466</th>\n",
       "      <td>29.685864</td>\n",
       "      <td>232.5</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>1979-01-03 10:00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>238.908295</td>\n",
       "      <td>364.346558</td>\n",
       "      <td>102915.773438</td>\n",
       "      <td>288.028412</td>\n",
       "      <td>0.008617</td>\n",
       "      <td>44.088383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  lat    lon         Q                 time  UTC_hr  UTC_day  \\\n",
       "lev                                                                            \n",
       "992.556095  29.685864  232.5  0.008011  1979-01-03 10:00:00    10.0      3.0   \n",
       "976.325407  29.685864  232.5  0.007749  1979-01-03 10:00:00    10.0      3.0   \n",
       "957.485480  29.685864  232.5  0.007609  1979-01-03 10:00:00    10.0      3.0   \n",
       "936.198398  29.685864  232.5  0.006129  1979-01-03 10:00:00    10.0      3.0   \n",
       "912.644547  29.685864  232.5  0.001331  1979-01-03 10:00:00    10.0      3.0   \n",
       "887.020249  29.685864  232.5  0.001057  1979-01-03 10:00:00    10.0      3.0   \n",
       "859.534767  29.685864  232.5  0.000927  1979-01-03 10:00:00    10.0      3.0   \n",
       "820.858369  29.685864  232.5  0.001117  1979-01-03 10:00:00    10.0      3.0   \n",
       "763.404481  29.685864  232.5  0.002614  1979-01-03 10:00:00    10.0      3.0   \n",
       "691.389430  29.685864  232.5  0.002905  1979-01-03 10:00:00    10.0      3.0   \n",
       "609.778695  29.685864  232.5  0.001095  1979-01-03 10:00:00    10.0      3.0   \n",
       "524.687175  29.685864  232.5  0.000831  1979-01-03 10:00:00    10.0      3.0   \n",
       "445.992574  29.685864  232.5  0.000168  1979-01-03 10:00:00    10.0      3.0   \n",
       "379.100904  29.685864  232.5  0.000089  1979-01-03 10:00:00    10.0      3.0   \n",
       "322.241902  29.685864  232.5  0.000106  1979-01-03 10:00:00    10.0      3.0   \n",
       "273.910817  29.685864  232.5  0.000050  1979-01-03 10:00:00    10.0      3.0   \n",
       "232.828619  29.685864  232.5  0.000029  1979-01-03 10:00:00    10.0      3.0   \n",
       "197.908087  29.685864  232.5  0.000015  1979-01-03 10:00:00    10.0      3.0   \n",
       "168.225080  29.685864  232.5  0.000011  1979-01-03 10:00:00    10.0      3.0   \n",
       "142.994039  29.685864  232.5  0.000004  1979-01-03 10:00:00    10.0      3.0   \n",
       "121.547241  29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "103.317127  29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "87.821230   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "73.750958   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "61.520498   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "51.677499   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "43.193750   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "35.923250   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "24.612220   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "14.356632   29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "7.594820    29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "3.643466    29.685864  232.5  0.000003  1979-01-03 10:00:00    10.0      3.0   \n",
       "\n",
       "            UTC_mon  UTC_yr        Tlev           Plev             PS  \\\n",
       "lev                                                                     \n",
       "992.556095      1.0  1979.0  286.987427  102149.679688  102915.773438   \n",
       "976.325407      1.0  1979.0  285.500671  100473.484375  102915.773438   \n",
       "957.485480      1.0  1979.0  283.960327   98522.117188  102915.773438   \n",
       "936.198398      1.0  1979.0  282.656494   96317.289062  102915.773438   \n",
       "912.644547      1.0  1979.0  284.106262   93877.679688  102915.773438   \n",
       "887.020249      1.0  1979.0  284.090881   91223.617188  102915.773438   \n",
       "859.534767      1.0  1979.0  283.329773   88376.781250  102915.773438   \n",
       "820.858369      1.0  1979.0  282.855835   84370.843750  102915.773438   \n",
       "763.404481      1.0  1979.0  282.616180   78420.000000  102915.773438   \n",
       "691.389430      1.0  1979.0  280.828491   70960.976562  102915.773438   \n",
       "609.778695      1.0  1979.0  273.516693   62508.066406  102915.773438   \n",
       "524.687175      1.0  1979.0  265.939606   53694.632812  102915.773438   \n",
       "445.992574      1.0  1979.0  256.322845   45543.765625  102915.773438   \n",
       "379.100904      1.0  1979.0  246.246185   38615.398438  102915.773438   \n",
       "322.241902      1.0  1979.0  235.517059   32726.173828  102915.773438   \n",
       "273.910817      1.0  1979.0  225.682678   27720.236328  102915.773438   \n",
       "232.828619      1.0  1979.0  217.156464   23465.109375  102915.773438   \n",
       "197.908087      1.0  1979.0  210.439285   19848.183594  102915.773438   \n",
       "168.225080      1.0  1979.0  207.475571   16822.507812  102915.773438   \n",
       "142.994039      1.0  1979.0  206.108215   14299.404297  102915.773438   \n",
       "121.547241      1.0  1979.0  204.861328   12154.723633  102915.773438   \n",
       "103.317127      1.0  1979.0  205.019226   10331.712891  102915.773438   \n",
       "87.821230       1.0  1979.0  205.885178    8782.123047  102915.773438   \n",
       "73.750958       1.0  1979.0  206.494720    7375.095703  102915.773438   \n",
       "61.520498       1.0  1979.0  207.280960    6152.049805  102915.773438   \n",
       "51.677499       1.0  1979.0  207.920319    5167.750000  102915.773438   \n",
       "43.193750       1.0  1979.0  209.189697    4319.375000  102915.773438   \n",
       "35.923250       1.0  1979.0  211.150925    3592.324951  102915.773438   \n",
       "24.612220       1.0  1979.0  215.637268    2461.221924  102915.773438   \n",
       "14.356632       1.0  1979.0  220.940231    1435.663208  102915.773438   \n",
       "7.594820        1.0  1979.0  229.048523     759.481995  102915.773438   \n",
       "3.643466        1.0  1979.0  238.908295     364.346558  102915.773438   \n",
       "\n",
       "                   T2m       Q2m        SHF  \n",
       "lev                                          \n",
       "992.556095  288.028412  0.008617  44.088383  \n",
       "976.325407  288.028412  0.008617  44.088383  \n",
       "957.485480  288.028412  0.008617  44.088383  \n",
       "936.198398  288.028412  0.008617  44.088383  \n",
       "912.644547  288.028412  0.008617  44.088383  \n",
       "887.020249  288.028412  0.008617  44.088383  \n",
       "859.534767  288.028412  0.008617  44.088383  \n",
       "820.858369  288.028412  0.008617  44.088383  \n",
       "763.404481  288.028412  0.008617  44.088383  \n",
       "691.389430  288.028412  0.008617  44.088383  \n",
       "609.778695  288.028412  0.008617  44.088383  \n",
       "524.687175  288.028412  0.008617  44.088383  \n",
       "445.992574  288.028412  0.008617  44.088383  \n",
       "379.100904  288.028412  0.008617  44.088383  \n",
       "322.241902  288.028412  0.008617  44.088383  \n",
       "273.910817  288.028412  0.008617  44.088383  \n",
       "232.828619  288.028412  0.008617  44.088383  \n",
       "197.908087  288.028412  0.008617  44.088383  \n",
       "168.225080  288.028412  0.008617  44.088383  \n",
       "142.994039  288.028412  0.008617  44.088383  \n",
       "121.547241  288.028412  0.008617  44.088383  \n",
       "103.317127  288.028412  0.008617  44.088383  \n",
       "87.821230   288.028412  0.008617  44.088383  \n",
       "73.750958   288.028412  0.008617  44.088383  \n",
       "61.520498   288.028412  0.008617  44.088383  \n",
       "51.677499   288.028412  0.008617  44.088383  \n",
       "43.193750   288.028412  0.008617  44.088383  \n",
       "35.923250   288.028412  0.008617  44.088383  \n",
       "24.612220   288.028412  0.008617  44.088383  \n",
       "14.356632   288.028412  0.008617  44.088383  \n",
       "7.594820    288.028412  0.008617  44.088383  \n",
       "3.643466    288.028412  0.008617  44.088383  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF.reindex(index=DF.index[::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'comet.metrics.fortran.hcf'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-99469acb14b7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# Compute CTP-HiLow\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m#--------------------------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mcomet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfortran\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mctp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mDFtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mDF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/comet/metrics/fortran/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mcomet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfortran\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhcf\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mhcf_vars_calc\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mhcf_fortran\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mcomet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfortran\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mctp\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mconv_trig_pot_mod\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mctp_hi_low_fortran\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mcomet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfortran\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrhtend\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrh_tend_mod\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mrhtend_fortran\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'comet.metrics.fortran.hcf'"
     ]
    }
   ],
   "source": [
    "#--------------------------------\n",
    "# Compute CTP-HiLow\n",
    "#--------------------------------\n",
    "from comet.metrics.fortran import ctp\n",
    "\n",
    "DFtest = DF.reindex(index=DF.index[::-1])\n",
    "\n",
    "ctp,hilow = ctp.conv_trig_pot_mod.ctp_hi_low(DFtest['Tlev'].values,\n",
    "                                             DFtest['Q'].values,\n",
    "                                             DFtest['Plev'].values,\n",
    "                                             DFtest['T2m'].values,\n",
    "                                             DFtest['Q2m'].values,\n",
    "                                             DFtest['PS'].values,miss)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-257.36322021484375"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ctp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.979354858398438"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hilow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make my own version in python?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lat/lon choice from full array: \n",
      "lat: 29.69  , lon:  232.50\n",
      "\n",
      "Confirm this was chosen: \n",
      "lat: 29.69  , lon:  232.50\n"
     ]
    }
   ],
   "source": [
    "# Choose indices for lat and lon: \n",
    "iLat = 10\n",
    "iLon = 10 \n",
    "\n",
    "# Isolate just this point in dataset \n",
    "ds_Sel = ds_Full.isel(lat=iLat, lon=iLon)\n",
    "\n",
    "print('Lat/lon choice from full array: ')\n",
    "print('lat: %.2f  , lon:  %.2f' % (ds_Full.lat[iLat].values,ds_Full.lon[iLon].values))\n",
    "print()\n",
    "print('Confirm this was chosen: ')\n",
    "print('lat: %.2f  , lon:  %.2f' % (ds_Sel.lat.values,ds_Sel.lon.values))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define length of dimensions \n",
    "nLev  = len(ds_Sel.lev)\n",
    "nTime = len(ds_Sel.time)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Test sounding\n",
    "# miss = -9999.\n",
    "# ds   = pd.read_csv('/Users/meganfowler/Documents/NCAR/Analysis/Coupling_initial/test/SOUNDING0.csv', sep=' ').astype(float)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define constants from fortran script\n",
    "Rd    = 287.04 \n",
    "cp    = 1005.7\n",
    "R_cp  = Rd/cp\n",
    "C2K   = 273.15\n",
    "Lv    = 2.5e6\n",
    "Lv_cp = Lv/cp\n",
    "Rv    = 461.5 \n",
    "grav  = 9.81\n",
    "ep    = 0.622\n",
    "\n",
    "# Constants for dewpoint temperature routine\n",
    "A = 610.8\n",
    "B = 237.3\n",
    "C = 17.2693882\n",
    "\n",
    "# Constants for saturation specific humidity \n",
    "t0     = 273.15\n",
    "ep     = 0.622 \n",
    "es0    = 6.11 \n",
    "a      = 17.269\n",
    "b      = 35.86\n",
    "onemep = 1.0 - ep\n",
    "\n",
    "\n",
    "# Number of segments to compute calculation over from 100mb to 300mb above ground\n",
    "nsegments = 20\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looks good here! Surface pressure test is passed successfully.\n"
     ]
    }
   ],
   "source": [
    "# Ensure pressure levels aren't  higher than the surface pressure \n",
    "iProblem = np.where(ds_Sel.Plev[:,-1] > ds_Sel.PS)[0]  # Indices where profile > PS \n",
    "\n",
    "if len(iProblem)>0:\n",
    "    print('***** ERROR: lowest pressure level > surface pressure *****')\n",
    "else:\n",
    "    print('Looks good here! Surface pressure test is passed successfully.')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get 50, 100, 150, and 300mb levels above the ground\n",
    "p50   =   ds_Sel.PS.values - 5000.0\n",
    "p100  =   ds_Sel.PS.values - 10000.0\n",
    "p150  =   ds_Sel.PS.values - 15000.0\n",
    "p300  =   ds_Sel.PS.values - 30000.0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Perform everything per day \n",
    "\n",
    "#for iT in range(nTime):\n",
    "\n",
    "iT = 10\n",
    "# ---- Indent should start here \n",
    "\n",
    "# Get index above and below each of the desired pressure levels (50,100,150,300)\n",
    "i50  = np.where(ds_Sel.Plev.values[iT,:] - p50[iT] >= 0)[0]\n",
    "lo50 = i50[0]\n",
    "up50 = i50[0]-1\n",
    "\n",
    "i100  = np.where(ds_Sel.Plev.values[iT,:] - p100[iT] >= 0)[0]\n",
    "lo100 = i100[0]\n",
    "up100 = i100[0]-1\n",
    "\n",
    "i150  = np.where(ds_Sel.Plev.values[iT,:] - p150[iT] >= 0)[0]\n",
    "lo150 = i150[0]\n",
    "up150 = i150[0]-1\n",
    "\n",
    "i300   = np.where(ds_Sel.Plev.values[iT,:] - p300[iT] >= 0)[0]\n",
    "lo300 = i300[0]\n",
    "up300 = i300[0]-1\n",
    "\n",
    "# ===========================================================\n",
    "\n",
    "# ######## Low-level humidity section ######### \n",
    "\n",
    "# From fortran code: \"Perform linear interpolation to extract each value at desired level. \n",
    "# This is done by finding the y-intercept equal to the pressure level minus the desired \n",
    "# level (basically find the temp and dew point corresponding to the level)\n",
    "\n",
    "x_up    =   ds_Sel.Plev.values[iT,up50]-p50[iT]\n",
    "x_lo    =   ds_Sel.Plev.values[iT, lo50]-p50[iT]\n",
    "y_up    =   ds_Sel.Tlev.values[iT, up50]\n",
    "y_lo    =   ds_Sel.Tlev.values[iT,lo50]\n",
    "temp50  =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   ds_Sel.Q.values[iT, up50]\n",
    "y_lo    =   ds_Sel.Q.values[iT, lo50]\n",
    "qhum50  =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "x_up    =   ds_Sel.Plev.values[iT, up150]-p150[iT]\n",
    "x_lo    =   ds_Sel.Plev.values[iT, lo150]-p150[iT]\n",
    "y_up    =   ds_Sel.Tlev.values[iT, up150]\n",
    "y_lo    =   ds_Sel.Tlev.values[iT, lo150]\n",
    "temp150 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   ds_Sel.Q.values[iT, up150]\n",
    "y_lo    =   ds_Sel.Q.values[iT, lo150]\n",
    "qhum150 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "\n",
    "#----- Calculate dew point temperature [K] -----\n",
    "# dew_point( qhum50 , p50 , tdew50 , missing )\n",
    "\n",
    "e50    =  (qhum50*(p50/1e2))/(0.622+0.378*qhum50)  \n",
    "e50    =  e50*1e2\n",
    "tdew50 =  ( (np.log(e50/A)*B) / (C-np.log(e50/A)) ) + 273.15\n",
    "\n",
    "e150    =  (qhum150*(p150/1e2))/(0.622+0.378*qhum150)  \n",
    "e150    =  e150*1e2\n",
    "tdew150 =  ( (np.log(e150/A)*B) / (C-np.log(e150/A)) ) + 273.15\n",
    "\n",
    "#----- Compute Hi_low variable ------ \n",
    "HI_low = (temp50-tdew50) + (temp150 - tdew150)\n",
    "\n",
    "# ===========================================================\n",
    "\n",
    "# ######## Convective Triggering Potential section ######### \n",
    "\n",
    "# Interpolation as above \n",
    "x_up    =   ds_Sel.Plev.values[iT, up100]-p100[iT]\n",
    "x_lo    =   ds_Sel.Plev.values[iT, lo100]-p100[iT]\n",
    "y_up    =   ds_Sel.Tlev.values[iT, up100]\n",
    "y_lo    =   ds_Sel.Tlev.values[iT, lo100]\n",
    "temp100 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   ds_Sel.Q.values[iT, up100]\n",
    "y_lo    =   ds_Sel.Q.values[iT, lo100]\n",
    "qhum100 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "x_up    =   ds_Sel.Plev.values[iT, up300]-p300[iT]\n",
    "x_lo    =   ds_Sel.Plev.values[iT, lo300]-p300[iT]\n",
    "y_up    =   ds_Sel.Tlev.values[iT, up300]\n",
    "y_lo    =   ds_Sel.Tlev.values[iT, lo300]\n",
    "temp300 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   ds_Sel.Q.values[iT, up300]\n",
    "y_lo    =   ds_Sel.Q.values[iT, lo300]\n",
    "qhum300 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "#------ Chop up integration into 20 segments from 100mb to 300 mb above ground -----\n",
    "p_increment = (p100[iT]-p300[iT])/nsegments \n",
    "p_old       = p100[iT]\n",
    "tseg_old    = temp100\n",
    "tpar_old    =  temp100\n",
    "qseg_old    =  qhum100\n",
    "CTP         =  0.\n",
    "\n",
    "for nn in range(nsegments+1): \n",
    "    # Pressure increment between defined levels (Pa)\n",
    "    p_segment = p100[iT] - (p_increment * nn)\n",
    "    iMatch    = np.where(ds_Sel.Plev[iT,:] > p_segment)[0]\n",
    "    ilo       = iMatch[0]\n",
    "    iup       = iMatch[0]-1\n",
    "    \n",
    "    # Perform another linear interpolation to get T and Q at the increment \n",
    "    x_up    =   ds_Sel.Plev.values[iT, iup] - p_segment\n",
    "    x_lo    =   ds_Sel.Plev.values[iT, ilo] - p_segment\n",
    "    y_up    =   ds_Sel.Tlev.values[iT, iup]\n",
    "    y_lo    =   ds_Sel.Tlev.values[iT, ilo]\n",
    "    t_segment =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "    y_up    =   ds_Sel.Q.values[iT, iup]\n",
    "    y_lo    =   ds_Sel.Q.values[iT, ilo]\n",
    "    q_segment =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "                            \n",
    "    # Get moist adiabatic laps rate (K/m) and depth of layer from lower to upper level\n",
    "    pmid  =  ( (p_segment*np.log(p_segment)  +  p_old   *np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "    tmid  =  ( (t_segment*np.log(p_segment)  +  tseg_old*np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "    qmid  =  ( (q_segment*np.log(p_segment)  +  qseg_old*np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "    dz    =  (p_old-p_segment) / (grav * pmid /(Rd*tmid*((1.+(qmid/ep)) / (1. + qmid))))\n",
    "    \n",
    "    # (Compute saturation specific humidity)\n",
    "    press = pmid/1e2    # Convert to hPa \n",
    "    numerator   = ep * (es0*math.exp((a*( tmid-t0))/( tmid-b)))\n",
    "    denomenator = press-onemep*(es0*math.exp((a*( tmid-t0))/( tmid-b)))\n",
    "    esat  =  numerator/denomenator \n",
    "    qsat  = esat / (1 + esat)\n",
    "    \n",
    "    moist_lapse  =  (grav/cp) * ( (1. + (Lv    * qsat)/(   Rd*tmid   )) / (1. + (Lv**2 * qsat)/(cp*Rv*tmid**2)) )\n",
    "    \n",
    "    # Get parcel temperature \n",
    "    tpar = tpar_old - moist_lapse*dz \n",
    "    \n",
    "    # Get mid-point temps from environment and parcel\n",
    "    tpar_mid = 0.5 * (tpar + tpar_old)\n",
    "    tseg_mid = 0.5 * (t_segment + tseg_old)\n",
    "    \n",
    "    # Integrate from old increment to increment level\n",
    "    CTP  =  CTP  +  (Rd * (tpar_mid-tseg_mid) * np.log(p_old/p_segment))\n",
    "    \n",
    "    # Update last increment values \n",
    "    tpar_old  =  tpar\n",
    "    tseg_old  =  t_segment\n",
    "    qseg_old  =  q_segment\n",
    "    p_old     =  p_segment\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-257.3651244037676"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CTP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.979355"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HI_low[iT]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results from fortran code: \n",
      "CTP:     -257.36322021484375\n",
      "hi_low:  30.979354858398438\n"
     ]
    }
   ],
   "source": [
    "print ('Results from fortran code: ')\n",
    "print('CTP:    ', ctp)\n",
    "print('hi_low: ', hilow)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## My standalone .py script: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from CTP_hilow import CTP_hilow \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "iLat  = 10\n",
    "iLon  = 10 \n",
    "iTime = 10 \n",
    "\n",
    "DF = ds_Full.isel(lat=iLat,lon=iLon,time=iTime).to_dataframe()\n",
    "DF = DF.reindex(index=DF.index[::-1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looks good here! Surface pressure test is passed successfully.\n"
     ]
    }
   ],
   "source": [
    "#            CTP_hilow(Tlev, Qlev, Plev, Tsfc, Qsfc, Psfc)\n",
    "CTP, HIlow = CTP_hilow(DF['Tlev'].values, DF['Q'].values, DF['Plev'].values,DF['T2m'].values[0], \n",
    "                       DF['Q2m'].values[0], DF['PS'].values[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-257.36441024842895 30.979322001225484\n"
     ]
    }
   ],
   "source": [
    "print(CTP, HIlow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-257.36322021484375 30.979354858398438\n"
     ]
    }
   ],
   "source": [
    "# For comparison, orginal fortran code:\n",
    "\n",
    "from comet.metrics.fortran import ctp\n",
    "\n",
    "miss = np.nan\n",
    "ctp,hilow = ctp.conv_trig_pot_mod.ctp_hi_low(DF['Tlev'].values,\n",
    "                                             DF['Q'].values,\n",
    "                                             DF['Plev'].values,\n",
    "                                             DF['T2m'].values,\n",
    "                                             DF['Q2m'].values,\n",
    "                                             DF['PS'].values,miss)\n",
    "\n",
    "print (ctp, hilow)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What about looping over time? \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from CTP_hilow import CTP_hilow \n",
    "import time "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total compute time: 17.63 s\n"
     ]
    }
   ],
   "source": [
    "iLat  = 10\n",
    "iLon  = 10 \n",
    "\n",
    "nT    = len(ds_Full.time)\n",
    "CTP_t = np.full([nT], np.nan)\n",
    "HIlow_t  = np.full([nT], np.nan)\n",
    "\n",
    "t = time.time()\n",
    "\n",
    "for iT in range(nT): \n",
    "    DF = ds_Full.isel(lat=iLat,lon=iLon,time=iT).to_dataframe()\n",
    "    DF = DF.reindex(index=DF.index[::-1])\n",
    "    \n",
    "    CTP_t[iT], HIlow_t[iT] = CTP_hilow(DF['Tlev'].values, DF['Q'].values, DF['Plev'].values,DF['T2m'].values[0], \n",
    "                                       DF['Q2m'].values[0], DF['PS'].values[0])\n",
    "    \n",
    "#     if iT%300==0: \n",
    "#         print('Done with %.2f percent of days...' % ((iT/nT)*100) )\n",
    "\n",
    "elapsed = time.time() - t\n",
    "print('Total compute time: %.2f s' % elapsed)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Sanity check against fortran version of code**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total compute time: 11.93 s\n"
     ]
    }
   ],
   "source": [
    "from comet.metrics.fortran import ctp\n",
    "\n",
    "miss = np.nan\n",
    "\n",
    "iLat  = 10\n",
    "iLon  = 10 \n",
    "\n",
    "nT    = len(ds_Full.time)\n",
    "CTP_f90 = np.full([nT], np.nan)\n",
    "HIlow_f90  = np.full([nT], np.nan)\n",
    "\n",
    "t = time.time()\n",
    "\n",
    "for iT in range(nT): \n",
    "    DF = ds_Full.isel(lat=iLat,lon=iLon,time=iT).to_dataframe()\n",
    "    DF = DF.reindex(index=DF.index[::-1])\n",
    "    \n",
    "    \n",
    "    CTP_f90[iT],HIlow_f90[iT] = ctp.conv_trig_pot_mod.ctp_hi_low(DF['Tlev'].values,\n",
    "                                                 DF['Q'].values,\n",
    "                                                 DF['Plev'].values,\n",
    "                                                 DF['T2m'].values,\n",
    "                                                 DF['Q2m'].values,\n",
    "                                                 DF['PS'].values,miss)\n",
    "    \n",
    "#     if iT%300==0: \n",
    "#         print('Done with %.2f percent of days...' % ((iT/nT)*100) )\n",
    "\n",
    "elapsed = time.time() - t\n",
    "print('Total compute time: %.2f s' % elapsed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference in CTP calculated via Python script vs. Fortran one...\n",
      "Mean: -5.0257e-05\n",
      "Max:  -6.0269e-03\n",
      "\n",
      "Difference in HI_low calculated via Python script vs. Fortran one...\n",
      "Mean: -1.0004e-05\n",
      "Max:  -5.9535e-05\n"
     ]
    }
   ],
   "source": [
    "# What's the difference between CTP values? HI_low values? \n",
    "ctp_diff = CTP_t - CTP_f90 \n",
    "hi_diff  = HIlow_t - HIlow_f90\n",
    "\n",
    "print('Difference in CTP calculated via Python script vs. Fortran one...')\n",
    "print('Mean: %.4e' % np.nanmean(ctp_diff))\n",
    "print('Max:  %.4e' % np.nanmin(ctp_diff))\n",
    "print()\n",
    "print('Difference in HI_low calculated via Python script vs. Fortran one...')\n",
    "print('Mean: %.4e' % np.nanmean(hi_diff))\n",
    "print('Max:  %.4e' % np.nanmin(hi_diff))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.0003871878898405e-05"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.nanmean(hi_diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing section"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# nn = 0 \n",
    "\n",
    "# # Pressure increment between defined levels (Pa)\n",
    "# p_segment = p100[iT] - (p_increment * nn)\n",
    "# iMatch    = np.where(ds_Sel.Plev[iT,:] > p_segment)[0]\n",
    "# ilo       = iMatch[0]\n",
    "# iup       = iMatch[0]-1\n",
    "\n",
    "# # Perform another linear interpolation to get T and Q at the increment \n",
    "# x_up    =   ds_Sel.Plev[iT, iup] - p_segment\n",
    "# x_lo    =   ds_Sel.Plev[iT, ilo] - p_segment\n",
    "# y_up    =   ds_Sel.Tlev[iT, iup]\n",
    "# y_lo    =   ds_Sel.Tlev[iT, ilo]\n",
    "# t_segment =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "# y_up    =   ds_Sel.Q[iT, iup]\n",
    "# y_lo    =   ds_Sel.Q[iT, ilo]\n",
    "# q_segment =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "# # Get moist adiabatic laps rate (K/m) and depth of layer from lower to upper level\n",
    "# pmid  =  ( (p_segment*np.log(p_segment)  +  p_old   *np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "# tmid  =  ( (t_segment*np.log(p_segment)  +  tseg_old*np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "# qmid  =  ( (q_segment*np.log(p_segment)  +  qseg_old*np.log(p_old))  /  np.log(p_segment*p_old) )\n",
    "# dz    =  (p_old-p_segment) / (grav * pmid /(Rd*tmid*((1.+(qmid/ep)) / (1. + qmid))))\n",
    "\n",
    "# # Compute saturation specific humidity \n",
    "# #qsat  =  saturation_specific_humidity( pmid, tmid, missing)\n",
    "# press = pmid/1e2    # Convert to hPa \n",
    "# numerator   = ep * (es0*math.exp((a*( tmid-t0))/( tmid-b)))\n",
    "# denominator = press-onemep*(es0*math.exp((a*( tmid-t0))/( tmid-b)))\n",
    "# esat  =  numerator/denominator \n",
    "# qsat = esat / (1 + esat)\n",
    "    \n",
    "# moist_lapse  =  (grav/cp) * ( (1. + (Lv    * qsat)/(   Rd*tmid   )) / (1. + (Lv**2 * qsat)/(cp*Rv*tmid**2)) )\n",
    "\n",
    "\n",
    "# # Get parcel temperature \n",
    "# tpar = tpar_old - moist_lapse*dz \n",
    "\n",
    "# # Get mid-point temps from environment and parcel\n",
    "# tpar_mid = 0.5 * (tpar + tpar_old)\n",
    "# tseg_mid = 0.5 * (t_segment + tseg_old)\n",
    "\n",
    "# # Integrate from old increment to increment level\n",
    "# CTP  =  CTP  +  (Rd * (tpar_mid-tseg_mid) * np.log(p_old/p_segment))\n",
    "\n",
    "# # Update last increment values \n",
    "# tpar_old  =  tpar\n",
    "# tseg_old  =  t_segment\n",
    "# qseg_old  =  q_segment\n",
    "# p_old     =  p_segment\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'PS' ()>\n",
      "array(92915.7734375)\n",
      "Coordinates:\n",
      "    lat      float64 29.69\n",
      "    lon      float64 232.5\n",
      "    time     object 1979-01-03 10:00:00\n",
      "\n",
      "<xarray.DataArray 'Plev' ()>\n",
      "array(93877.68, dtype=float32)\n",
      "Coordinates:\n",
      "    lat      float64 29.69\n",
      "    lev      float64 912.6\n",
      "    lon      float64 232.5\n",
      "    time     object 1979-01-03 10:00:00\n",
      "\n",
      "<xarray.DataArray 'Plev' ()>\n",
      "array(91223.62, dtype=float32)\n",
      "Coordinates:\n",
      "    lat      float64 29.69\n",
      "    lev      float64 887.0\n",
      "    lon      float64 232.5\n",
      "    time     object 1979-01-03 10:00:00\n"
     ]
    }
   ],
   "source": [
    "# nn = 0 \n",
    "# p_segment = p100[iT] - (p_increment * nn)\n",
    "# print(p_segment)\n",
    "\n",
    "# iMatch    = np.where(ds_Sel.Plev[iT,:] > p_segment)[0]\n",
    "# print()\n",
    "# print(ds_Sel.Plev[iT, iMatch[0]])\n",
    "# print()\n",
    "# print(ds_Sel.Plev[iT, iMatch[0]-1])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Now get index above and below each of the desired pressure levels (50,100,150,300)\n",
    "# lo50 = np.full([nTime], np.nan)\n",
    "# up50 = np.full([nTime], np.nan)\n",
    "\n",
    "# lo100 = np.full([nTime], np.nan)\n",
    "# up100 = np.full([nTime], np.nan)\n",
    "\n",
    "# lo150 = np.full([nTime], np.nan)\n",
    "# up150 = np.full([nTime], np.nan)\n",
    "\n",
    "# lo300 = np.full([nTime], np.nan)\n",
    "# up300 = np.full([nTime], np.nan)\n",
    "\n",
    "# for iT in range(nTime):\n",
    "#     i50      = np.where(ds_Sel.Plev[iT,:] - p50[iT] >= 0)[0]\n",
    "#     lo50[iT] = i50[0]\n",
    "#     up50[iT] = i50[0]-1\n",
    "    \n",
    "#     i100      = np.where(ds_Sel.Plev[iT,:] - p100[iT] >= 0)[0]\n",
    "#     lo100[iT] = i100[0]\n",
    "#     up100[iT] = i100[0]-1\n",
    "    \n",
    "#     i150      = np.where(ds_Sel.Plev[iT,:] - p150[iT] >= 0)[0]\n",
    "#     lo150[iT] = i150[0]\n",
    "#     up150[iT] = i150[0]-1\n",
    "    \n",
    "#     i300      = np.where(ds_Sel.Plev[iT,:] - p300[iT] >= 0)[0]\n",
    "#     lo300[iT] = i300[0]\n",
    "#     up300[iT] = i300[0]-1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Low-level humidity (HI_low) section"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From fortran code: <br>\n",
    "      !-------------------------------------------- <br>\n",
    "      !--- Perform linear interpolation to extract <br>\n",
    "      !--- each value at the desired level <br>\n",
    "      !--- This is done by finding the y-intercept <br>\n",
    "      !--- equal to the pressure level minus the <br>\n",
    "      !--- desired level (basically find the temp <br>\n",
    "      !--- and dew point corresponding to the level<br>\n",
    "      !--------------------------------------------<br>\n",
    "      <br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5475, 32)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(ds_Sel.Plev)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_up    =   plev(up50)-p50\n",
    "x_lo    =   plev(lo50)-p50\n",
    "y_up    =   tlev(up50)\n",
    "y_lo    =   tlev(lo50)\n",
    "temp50  =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   qlev(up50)\n",
    "y_lo    =   qlev(lo50)\n",
    "qhum50  =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "x_up    =   plev(up150)-p150\n",
    "x_lo    =   plev(lo150)-p150\n",
    "y_up    =   tlev(up150)\n",
    "y_lo    =   tlev(lo150)\n",
    "temp150 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up\n",
    "\n",
    "y_up    =   qlev(up150)\n",
    "y_lo    =   qlev(lo150)\n",
    "qhum150 =   y_up - ((y_up-y_lo)/(x_up-x_lo))*x_up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lev: 32, time: 5475)\n",
       "Coordinates:\n",
       "    lat      float64 29.69\n",
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       "    PS       (time) float32 102782.2 102743.62 102712.24 ... 102450.77 102477.6\n",
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       "    SHF      (time) float32 42.59062 42.44384 42.183346 ... 34.816517 33.50967\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out.</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-de124457-05d6-42f3-b9fe-1c80ae10b7a0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de124457-05d6-42f3-b9fe-1c80ae10b7a0' 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'>lev</span>: 32</li><li><span class='xr-has-index'>time</span>: 5475</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-dc027f36-a73b-47f5-a3fb-02d2a3362c7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc027f36-a73b-47f5-a3fb-02d2a3362c7d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.69</div><input id='attrs-c5343e8e-a2cd-46e8-a311-ddca601af2ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5343e8e-a2cd-46e8-a311-ddca601af2ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1949352c-1bb4-43ab-8719-b4b0b003d2cd' class='xr-var-data-in' type='checkbox'><label for='data-1949352c-1bb4-43ab-8719-b4b0b003d2cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array(29.68586387)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>232.5</div><input id='attrs-ca6864ec-c2f7-42ec-823a-32fb08d0c361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca6864ec-c2f7-42ec-823a-32fb08d0c361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbdcae9d-4991-4f6b-a11d-9672cc0e69aa' class='xr-var-data-in' type='checkbox'><label for='data-dbdcae9d-4991-4f6b-a11d-9672cc0e69aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array(232.5)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-24a396bc-efcb-4281-872e-6ce438042ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a396bc-efcb-4281-872e-6ce438042ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8479d89d-70f1-4a19-b89f-2ee2332b6f8a' class='xr-var-data-in' type='checkbox'><label for='data-8479d89d-70f1-4a19-b89f-2ee2332b6f8a' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-c72b2430-e621-4ef0-a08f-7b6998d9f9d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c72b2430-e621-4ef0-a08f-7b6998d9f9d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9775f3ea-6621-4466-9dcf-7e350f730bd9' class='xr-var-data-in' type='checkbox'><label for='data-9775f3ea-6621-4466-9dcf-7e350f730bd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf202dab-46d1-4918-8562-828d850294a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf202dab-46d1-4918-8562-828d850294a4' class='xr-section-summary' >Data variables: <span>(11)</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>Q</span></div><div class='xr-var-dims'>(time, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>2.914262e-06 ... 0.006992577</div><input id='attrs-450effde-9b9a-418c-875d-6d9015ef3239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-450effde-9b9a-418c-875d-6d9015ef3239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f486888-f748-4ecc-8e21-9278b9541f3a' class='xr-var-data-in' type='checkbox'><label for='data-3f486888-f748-4ecc-8e21-9278b9541f3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Specific humidity in UTC time.</dd><dt><span>mixing_ratio :</span></dt><dd>wet</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>mdims :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[2.9142620e-06, 2.8719310e-06, 2.7982296e-06, ..., 5.8717947e-03,\n",
       "        5.9344992e-03, 6.0886047e-03],\n",
       "       [2.9142889e-06, 2.8764734e-06, 2.8017323e-06, ..., 5.8991779e-03,\n",
       "        5.9638424e-03, 6.1188010e-03],\n",
       "       [2.9139292e-06, 2.8811739e-06, 2.8049378e-06, ..., 5.9082401e-03,\n",
       "        5.9732562e-03, 6.1292895e-03],\n",
       "       ...,\n",
       "       [2.8255547e-06, 2.9499881e-06, 2.9254043e-06, ..., 6.7480220e-03,\n",
       "        6.7841769e-03, 6.9045448e-03],\n",
       "       [2.8241966e-06, 2.9483731e-06, 2.9281739e-06, ..., 6.7931311e-03,\n",
       "        6.8285358e-03, 6.9460012e-03],\n",
       "       [2.8236011e-06, 2.9467235e-06, 2.9310486e-06, ..., 6.8422738e-03,\n",
       "        6.8774307e-03, 6.9925771e-03]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_hr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>10.0 11.0 12.0 ... 12.0 13.0 14.0</div><input id='attrs-4d7c28be-8f54-4a74-8a44-a3cd46bfc1f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d7c28be-8f54-4a74-8a44-a3cd46bfc1f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d116f8fa-8070-4094-b229-7832d6bf4f62' class='xr-var-data-in' type='checkbox'><label for='data-d116f8fa-8070-4094-b229-7832d6bf4f62' 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>Hour in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([10., 11., 12., ..., 12., 13., 14.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_day</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 31.0 31.0 31.0</div><input id='attrs-bb4527cb-08d0-4e80-ab62-b31e9069a3a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb4527cb-08d0-4e80-ab62-b31e9069a3a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca0ce8f6-af5e-441c-a852-8825f3189fbf' class='xr-var-data-in' type='checkbox'><label for='data-ca0ce8f6-af5e-441c-a852-8825f3189fbf' 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>Day in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  1.,  1., ..., 31., 31., 31.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_mon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 12.0 12.0 12.0</div><input id='attrs-1b770d18-ce2f-477c-a637-0c07a5677611' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b770d18-ce2f-477c-a637-0c07a5677611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-773bcf8a-170d-495b-990e-8fb7334b57ad' class='xr-var-data-in' type='checkbox'><label for='data-773bcf8a-170d-495b-990e-8fb7334b57ad' 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>Mon in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  1.,  1., ..., 12., 12., 12.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_yr</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1979.0 1979.0 ... 1981.0 1981.0</div><input id='attrs-2f8ddf28-0381-4f06-9f17-40e29c12bab0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f8ddf28-0381-4f06-9f17-40e29c12bab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c65dcc62-8b90-4cb8-b59e-ef8344cae3ab' class='xr-var-data-in' type='checkbox'><label for='data-c65dcc62-8b90-4cb8-b59e-ef8344cae3ab' 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>Yr in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([1979., 1979., 1979., ..., 1981., 1981., 1981.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tlev</span></div><div class='xr-var-dims'>(time, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.26587 230.77605 ... 287.08374</div><input id='attrs-88fba410-2e7e-43d8-9be0-b873149ef7e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88fba410-2e7e-43d8-9be0-b873149ef7e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7513397e-f64d-4f73-9f66-03ed57079aed' class='xr-var-data-in' type='checkbox'><label for='data-7513397e-f64d-4f73-9f66-03ed57079aed' 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([[241.26587, 230.77605, 222.34485, ..., 283.4802 , 285.08575,\n",
       "        286.50262],\n",
       "       [241.13084, 230.87503, 222.35493, ..., 283.4827 , 285.08786,\n",
       "        286.5047 ],\n",
       "       [241.02385, 230.89432, 222.32097, ..., 283.50632, 285.1117 ,\n",
       "        286.52832],\n",
       "       ...,\n",
       "       [241.67905, 238.25603, 218.58409, ..., 283.94724, 285.554  ,\n",
       "        286.96646],\n",
       "       [241.7493 , 238.38895, 218.49844, ..., 283.99765, 285.60532,\n",
       "        287.01773],\n",
       "       [241.73813, 238.37099, 218.33481, ..., 284.06424, 285.67206,\n",
       "        287.08374]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plev</span></div><div class='xr-var-dims'>(time, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>364.34656 759.482 ... 101714.766</div><input id='attrs-a8eae8c8-bba3-4a4f-b180-f747378d11b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8eae8c8-bba3-4a4f-b180-f747378d11b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-827c000d-c128-4545-879f-e7d11a1fd772' class='xr-var-data-in' type='checkbox'><label for='data-827c000d-c128-4545-879f-e7d11a1fd772' 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([[   364.34656,    759.482  ,   1435.6632 , ...,  98395.06   ,\n",
       "        100343.34   , 102017.1    ],\n",
       "       [   364.34656,    759.482  ,   1435.6632 , ...,  98358.36   ,\n",
       "        100305.74   , 101978.805  ],\n",
       "       [   364.34656,    759.482  ,   1435.6632 , ...,  98328.516  ,\n",
       "        100275.18   , 101947.664  ],\n",
       "       ...,\n",
       "       [   364.34656,    759.482  ,   1435.6632 , ...,  98066.62   ,\n",
       "        100006.914  , 101674.38   ],\n",
       "       [   364.34656,    759.482  ,   1435.6632 , ...,  98079.8    ,\n",
       "        100020.414  , 101688.14   ],\n",
       "       [   364.34656,    759.482  ,   1435.6632 , ...,  98105.32   ,\n",
       "        100046.555  , 101714.766  ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>102782.2 102743.62 ... 102477.6</div><input id='attrs-3d7f5699-089e-4702-819d-dd26233fbd4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d7f5699-089e-4702-819d-dd26233fbd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2796193-c2c6-4728-a478-11a0f7dfa81c' class='xr-var-data-in' type='checkbox'><label for='data-a2796193-c2c6-4728-a478-11a0f7dfa81c' 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([102782.2  , 102743.62 , 102712.24 , ..., 102436.914, 102450.77 ,\n",
       "       102477.6  ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2m</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>287.533 287.53442 ... 288.0778</div><input id='attrs-8eb4be62-4541-41e6-b66d-993f6999503f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8eb4be62-4541-41e6-b66d-993f6999503f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e674e6c-4c23-4674-9883-da68bfe21a98' class='xr-var-data-in' type='checkbox'><label for='data-6e674e6c-4c23-4674-9883-da68bfe21a98' 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([287.533  , 287.53442, 287.5563 , ..., 287.9803 , 288.02286,\n",
       "       288.0778 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2m</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0068340832 ... 0.0076404978</div><input id='attrs-97b42371-f918-4ddf-9a9c-b6325760da69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97b42371-f918-4ddf-9a9c-b6325760da69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b7bced3-e313-4ff5-85dc-762558c9a1ec' class='xr-var-data-in' type='checkbox'><label for='data-9b7bced3-e313-4ff5-85dc-762558c9a1ec' 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([0.00683408, 0.00686011, 0.0068718 , ..., 0.00757128, 0.00760413,\n",
       "       0.0076405 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>42.59062 42.44384 ... 33.50967</div><input id='attrs-cf8e7bf9-a964-4380-a335-6fbb2f538bf9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf8e7bf9-a964-4380-a335-6fbb2f538bf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a6bdf36-2b94-4b13-ac28-1cb71d23e6e3' class='xr-var-data-in' type='checkbox'><label for='data-3a6bdf36-2b94-4b13-ac28-1cb71d23e6e3' 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([42.59062 , 42.44384 , 42.183346, ..., 35.86311 , 34.816517,\n",
       "       33.50967 ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2216fca-1020-4162-aac9-74848f432abd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2216fca-1020-4162-aac9-74848f432abd' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Aug 31 17:46:50 MDT 2020</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_file :</span></dt><dd>/glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ.nc</dd><dt><span>title :</span></dt><dd>NCL used to get UTC; 4 early morning hours saved out.</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:  (lev: 32, time: 5475)\n",
       "Coordinates:\n",
       "    lat      float64 29.69\n",
       "    lon      float64 232.5\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev) float32 2.914262e-06 2.871931e-06 ... 0.006992577\n",
       "    UTC_hr   (time) float32 10.0 11.0 12.0 13.0 14.0 ... 11.0 12.0 13.0 14.0\n",
       "    UTC_day  (time) float32 1.0 1.0 1.0 1.0 1.0 2.0 ... 31.0 31.0 31.0 31.0 31.0\n",
       "    UTC_mon  (time) float32 1.0 1.0 1.0 1.0 1.0 1.0 ... 12.0 12.0 12.0 12.0 12.0\n",
       "    UTC_yr   (time) float32 1979.0 1979.0 1979.0 1979.0 ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev) float32 241.26587 230.77605 ... 285.67206 287.08374\n",
       "    Plev     (time, lev) float32 364.34656 759.482 ... 100046.555 101714.766\n",
       "    PS       (time) float32 102782.2 102743.62 102712.24 ... 102450.77 102477.6\n",
       "    T2m      (time) float32 287.533 287.53442 287.5563 ... 288.02286 288.0778\n",
       "    Q2m      (time) float32 0.0068340832 0.0068601146 ... 0.0076404978\n",
       "    SHF      (time) float32 42.59062 42.44384 42.183346 ... 34.816517 33.50967\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out."
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_Sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the index above and below each of the desired pressure levels (50,100,150,300)\n",
    "testMask_lo = ds_Full.where((ds_Full.Plev - p50 >= 0),drop=False)\n",
    "# nKeeps = len(testMask_lo.lev)\n",
    "# iUp = nKeeps-2\n",
    "# iLo = nKeeps-1\n",
    "# testMask_up = ds_Full.where((ds_Full.Plev - p50 < 0), drop=True)\n",
    "\n",
    "# Arbitrarily defined ranges to test this... could be problematic \n",
    "testMask2 = ds_Full.where( (ds_Full.Plev-p50 > -2000 ) & (ds_Full.Plev-p50 <= 800), drop=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
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       "          102176.31 , 102176.31 ],\n",
       "         [       nan,        nan,        nan, ..., 102195.305,\n",
       "          102195.305, 102195.305],\n",
       "         [       nan,        nan,        nan, ..., 102211.03 ,\n",
       "          102211.03 , 102211.03 ],\n",
       "...\n",
       "         [       nan,        nan,        nan, ...,  96514.69 ,\n",
       "           96514.69 ,  96514.69 ],\n",
       "         [       nan,        nan,        nan, ...,  97748.04 ,\n",
       "           97748.04 ,  97748.04 ],\n",
       "         [       nan,        nan,        nan, ...,  98203.78 ,\n",
       "           98203.78 ,  98203.78 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,  91825.484,\n",
       "           91825.484,  91825.484],\n",
       "         [       nan,        nan,        nan, ...,  90580.19 ,\n",
       "           90580.19 ,  90580.19 ],\n",
       "         [       nan,        nan,        nan, ...,  89838.37 ,\n",
       "           89838.37 ,  89838.37 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,  97718.766,\n",
       "           97718.766,  97718.766],\n",
       "         [       nan,        nan,        nan, ...,  98192.   ,\n",
       "           98192.   ,  98192.   ],\n",
       "         [       nan,        nan,        nan, ...,  98230.06 ,\n",
       "           98230.06 ,  98230.06 ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'PS'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5475</li><li><span class='xr-has-index'>lat</span>: 43</li><li><span class='xr-has-index'>lon</span>: 65</li><li><span class='xr-has-index'>lev</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cc583707-645d-45a3-bdef-165342c1a3bb' class='xr-array-in' type='checkbox' checked><label for='section-cc583707-645d-45a3-bdef-165342c1a3bb' 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>nan nan nan nan nan nan nan ... nan nan nan 98230.06 98230.06 98230.06</span></div><div class='xr-array-data'><pre>array([[[[       nan,        nan,        nan, ..., 102068.03 ,\n",
       "          102068.03 , 102068.03 ],\n",
       "         [       nan,        nan,        nan, ..., 102079.78 ,\n",
       "          102079.78 , 102079.78 ],\n",
       "         [       nan,        nan,        nan, ..., 102098.38 ,\n",
       "          102098.38 , 102098.38 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ..., 101945.01 ,\n",
       "          101945.01 , 101945.01 ],\n",
       "         [       nan,        nan,        nan, ..., 101926.77 ,\n",
       "          101926.77 , 101926.77 ],\n",
       "         [       nan,        nan,        nan, ..., 101904.86 ,\n",
       "          101904.86 , 101904.86 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ..., 102176.31 ,\n",
       "          102176.31 , 102176.31 ],\n",
       "         [       nan,        nan,        nan, ..., 102195.305,\n",
       "          102195.305, 102195.305],\n",
       "         [       nan,        nan,        nan, ..., 102211.03 ,\n",
       "          102211.03 , 102211.03 ],\n",
       "...\n",
       "         [       nan,        nan,        nan, ...,  96514.69 ,\n",
       "           96514.69 ,  96514.69 ],\n",
       "         [       nan,        nan,        nan, ...,  97748.04 ,\n",
       "           97748.04 ,  97748.04 ],\n",
       "         [       nan,        nan,        nan, ...,  98203.78 ,\n",
       "           98203.78 ,  98203.78 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,  91825.484,\n",
       "           91825.484,  91825.484],\n",
       "         [       nan,        nan,        nan, ...,  90580.19 ,\n",
       "           90580.19 ,  90580.19 ],\n",
       "         [       nan,        nan,        nan, ...,  89838.37 ,\n",
       "           89838.37 ,  89838.37 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,  97718.766,\n",
       "           97718.766,  97718.766],\n",
       "         [       nan,        nan,        nan, ...,  98192.   ,\n",
       "           98192.   ,  98192.   ],\n",
       "         [       nan,        nan,        nan, ...,  98230.06 ,\n",
       "           98230.06 ,  98230.06 ]]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9ca3036f-9892-430e-b7e1-793977285deb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ca3036f-9892-430e-b7e1-793977285deb' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.26 21.2 22.15 ... 58.9 59.84</div><input id='attrs-dfc224ec-e7bd-4527-bcec-b7dfc27efc8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfc224ec-e7bd-4527-bcec-b7dfc27efc8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7557c7ab-8c7b-4faa-9043-7894fb82c633' class='xr-var-data-in' type='checkbox'><label for='data-7557c7ab-8c7b-4faa-9043-7894fb82c633' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822,\n",
       "       25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272,\n",
       "       31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723,\n",
       "       37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173,\n",
       "       42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623,\n",
       "       48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073,\n",
       "       54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524,\n",
       "       59.842932])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>220.0 221.2 222.5 ... 298.8 300.0</div><input id='attrs-68dd4d4a-ad25-40ad-a35d-beaac526c4cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68dd4d4a-ad25-40ad-a35d-beaac526c4cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e93b8a4c-4ae6-4925-a465-548e3e46d76b' class='xr-var-data-in' type='checkbox'><label for='data-e93b8a4c-4ae6-4925-a465-548e3e46d76b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([220.  , 221.25, 222.5 , 223.75, 225.  , 226.25, 227.5 , 228.75, 230.  ,\n",
       "       231.25, 232.5 , 233.75, 235.  , 236.25, 237.5 , 238.75, 240.  , 241.25,\n",
       "       242.5 , 243.75, 245.  , 246.25, 247.5 , 248.75, 250.  , 251.25, 252.5 ,\n",
       "       253.75, 255.  , 256.25, 257.5 , 258.75, 260.  , 261.25, 262.5 , 263.75,\n",
       "       265.  , 266.25, 267.5 , 268.75, 270.  , 271.25, 272.5 , 273.75, 275.  ,\n",
       "       276.25, 277.5 , 278.75, 280.  , 281.25, 282.5 , 283.75, 285.  , 286.25,\n",
       "       287.5 , 288.75, 290.  , 291.25, 292.5 , 293.75, 295.  , 296.25, 297.5 ,\n",
       "       298.75, 300.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-a2077a8b-beac-4a61-8869-946e184d38da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2077a8b-beac-4a61-8869-946e184d38da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4549f23-9740-4728-9dca-621003a5f860' class='xr-var-data-in' type='checkbox'><label for='data-f4549f23-9740-4728-9dca-621003a5f860' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-515c7885-700d-455c-aac4-0700b33b5966' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-515c7885-700d-455c-aac4-0700b33b5966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120143bf-bb3f-4b23-8d7e-42c7c91f17bf' class='xr-var-data-in' type='checkbox'><label for='data-120143bf-bb3f-4b23-8d7e-42c7c91f17bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18d321b2-df3e-44df-b2a7-f77d5b43181e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18d321b2-df3e-44df-b2a7-f77d5b43181e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       "          102068.03 , 102068.03 ],\n",
       "         [       nan,        nan,        nan, ..., 102079.78 ,\n",
       "          102079.78 , 102079.78 ],\n",
       "         [       nan,        nan,        nan, ..., 102098.38 ,\n",
       "          102098.38 , 102098.38 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ..., 101945.01 ,\n",
       "          101945.01 , 101945.01 ],\n",
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       "          101904.86 , 101904.86 ]],\n",
       "\n",
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       "          102195.305, 102195.305],\n",
       "         [       nan,        nan,        nan, ..., 102211.03 ,\n",
       "          102211.03 , 102211.03 ],\n",
       "...\n",
       "         [       nan,        nan,        nan, ...,  96514.69 ,\n",
       "           96514.69 ,  96514.69 ],\n",
       "         [       nan,        nan,        nan, ...,  97748.04 ,\n",
       "           97748.04 ,  97748.04 ],\n",
       "         [       nan,        nan,        nan, ...,  98203.78 ,\n",
       "           98203.78 ,  98203.78 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,  91825.484,\n",
       "           91825.484,  91825.484],\n",
       "         [       nan,        nan,        nan, ...,  90580.19 ,\n",
       "           90580.19 ,  90580.19 ],\n",
       "         [       nan,        nan,        nan, ...,  89838.37 ,\n",
       "           89838.37 ,  89838.37 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,  97718.766,\n",
       "           97718.766,  97718.766],\n",
       "         [       nan,        nan,        nan, ...,  98192.   ,\n",
       "           98192.   ,  98192.   ],\n",
       "         [       nan,        nan,        nan, ...,  98230.06 ,\n",
       "           98230.06 ,  98230.06 ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "checkArr = testMask_lo.PS\n",
    "checkArr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 43, lev: 3, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 912.6 936.2 957.5\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    PS       (time, lat, lon, lev) float32 nan 102068.03 ... 98230.06 nan\n",
       "    T2m      (time, lat, lon, lev) float32 nan 293.90747 ... 271.51926 nan\n",
       "    Q2m      (time, lat, lon, lev) float32 nan 0.011486784 ... 0.0027535888 nan\n",
       "    SHF      (time, lat, lon, lev) float32 nan 39.52112 39.52112 ... 28.1356 nan\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out.</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-8fbf3f80-801c-4b2a-a8af-03801104a483' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fbf3f80-801c-4b2a-a8af-03801104a483' 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>: 43</li><li><span class='xr-has-index'>lev</span>: 3</li><li><span class='xr-has-index'>lon</span>: 65</li><li><span class='xr-has-index'>time</span>: 5475</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e659e2e7-c66c-4e65-a29e-29454c876484' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e659e2e7-c66c-4e65-a29e-29454c876484' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.26 21.2 22.15 ... 58.9 59.84</div><input id='attrs-7f69ecf2-5d48-4e66-bfbb-ab76326b5ce9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f69ecf2-5d48-4e66-bfbb-ab76326b5ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9c9574a-9069-4372-96bf-dee3d7979f9b' class='xr-var-data-in' type='checkbox'><label for='data-d9c9574a-9069-4372-96bf-dee3d7979f9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822,\n",
       "       25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272,\n",
       "       31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723,\n",
       "       37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173,\n",
       "       42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623,\n",
       "       48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073,\n",
       "       54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524,\n",
       "       59.842932])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>220.0 221.2 222.5 ... 298.8 300.0</div><input id='attrs-50c13172-a58c-44c7-aec3-63911a0eec4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50c13172-a58c-44c7-aec3-63911a0eec4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27a2200c-2709-468a-9fce-166112c0dd4c' class='xr-var-data-in' type='checkbox'><label for='data-27a2200c-2709-468a-9fce-166112c0dd4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([220.  , 221.25, 222.5 , 223.75, 225.  , 226.25, 227.5 , 228.75, 230.  ,\n",
       "       231.25, 232.5 , 233.75, 235.  , 236.25, 237.5 , 238.75, 240.  , 241.25,\n",
       "       242.5 , 243.75, 245.  , 246.25, 247.5 , 248.75, 250.  , 251.25, 252.5 ,\n",
       "       253.75, 255.  , 256.25, 257.5 , 258.75, 260.  , 261.25, 262.5 , 263.75,\n",
       "       265.  , 266.25, 267.5 , 268.75, 270.  , 271.25, 272.5 , 273.75, 275.  ,\n",
       "       276.25, 277.5 , 278.75, 280.  , 281.25, 282.5 , 283.75, 285.  , 286.25,\n",
       "       287.5 , 288.75, 290.  , 291.25, 292.5 , 293.75, 295.  , 296.25, 297.5 ,\n",
       "       298.75, 300.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>912.6 936.2 957.5</div><input id='attrs-3821d9ee-16ec-41f7-afc2-50c0abf8e263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3821d9ee-16ec-41f7-afc2-50c0abf8e263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6d5552-4dd9-4b04-8a57-cc06c82d8ef1' class='xr-var-data-in' type='checkbox'><label for='data-af6d5552-4dd9-4b04-8a57-cc06c82d8ef1' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([912.644547, 936.198398, 957.48548 ])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-6bde8cf4-a11f-43ab-8e29-e0ad3f461897' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bde8cf4-a11f-43ab-8e29-e0ad3f461897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3550bfd-a804-4fdd-9007-336252564d11' class='xr-var-data-in' type='checkbox'><label for='data-a3550bfd-a804-4fdd-9007-336252564d11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-624f2b5a-f4c1-4373-9c69-f46240d657b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-624f2b5a-f4c1-4373-9c69-f46240d657b1' class='xr-section-summary' >Data variables: <span>(11)</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>Q</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4b891991-5386-44c9-bd34-7dc964365947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b891991-5386-44c9-bd34-7dc964365947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e99ab05f-2c23-4768-92ba-2425991e481b' class='xr-var-data-in' type='checkbox'><label for='data-e99ab05f-2c23-4768-92ba-2425991e481b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Specific humidity in UTC time.</dd><dt><span>mixing_ratio :</span></dt><dd>wet</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>mdims :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]],\n",
       "\n",
       "        [[0.00988551, 0.00970765, 0.00948267, ..., 0.01324151,\n",
       "          0.01323349, 0.01331415],\n",
       "         [0.00964158, 0.00937313, 0.00914442, ..., 0.01301443,\n",
       "          0.01293916, 0.01292536],\n",
       "         [0.00932205, 0.00904134, 0.00885654, ..., 0.01246159,\n",
       "          0.01252791, 0.0125271 ],\n",
       "...\n",
       "         [0.00108861, 0.00097425, 0.00080899, ..., 0.00170039,\n",
       "          0.00154611, 0.00157785],\n",
       "         [0.00084614, 0.00062113, 0.00021967, ..., 0.00181292,\n",
       "          0.00188932, 0.00190188],\n",
       "         [0.00052403, 0.00022292, 0.00021976, ..., 0.00223046,\n",
       "          0.00228285, 0.002341  ]],\n",
       "\n",
       "        [[0.01002402, 0.00993042, 0.00990021, ..., 0.01435974,\n",
       "          0.01407267, 0.01387916],\n",
       "         [0.01015123, 0.0100838 , 0.00994947, ..., 0.01372798,\n",
       "          0.01373792, 0.01358307],\n",
       "         [0.01024598, 0.0100964 , 0.00996748, ..., 0.0129977 ,\n",
       "          0.01306225, 0.01287976],\n",
       "         ...,\n",
       "         [0.00110719, 0.00101568, 0.00086725, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [0.00087304,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_hr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9e758b61-2916-45b3-83bf-30f9112bfd2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e758b61-2916-45b3-83bf-30f9112bfd2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f561288f-8127-404e-849b-d7ee76505ae7' class='xr-var-data-in' type='checkbox'><label for='data-f561288f-8127-404e-849b-d7ee76505ae7' 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>Hour in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         ...,\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.]],\n",
       "\n",
       "        [[10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         [10., 10., 10., ..., 10., 10., 10.],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., nan, nan, nan],\n",
       "         [14., nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_day</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-183da1bf-3699-4596-b8bf-d9bc53110538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-183da1bf-3699-4596-b8bf-d9bc53110538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbdfedaf-496d-4b9c-9e27-34338229408a' class='xr-var-data-in' type='checkbox'><label for='data-dbdfedaf-496d-4b9c-9e27-34338229408a' 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>Day in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         ...,\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.]],\n",
       "\n",
       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., nan, nan, nan],\n",
       "         [31., nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_mon</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a9f0f9f2-0af9-4627-94d9-7af880292688' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9f0f9f2-0af9-4627-94d9-7af880292688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a27db829-d827-4724-823f-1ec5e6c842f9' class='xr-var-data-in' type='checkbox'><label for='data-a27db829-d827-4724-823f-1ec5e6c842f9' 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>Mon in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         ...,\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.]],\n",
       "\n",
       "        [[ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         [ 1.,  1.,  1., ...,  1.,  1.,  1.],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., nan, nan, nan],\n",
       "         [12., nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_yr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-942429a4-44bd-4aef-882c-24e8dee0860b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-942429a4-44bd-4aef-882c-24e8dee0860b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a57c7f83-17b8-45b8-9617-113fc509ec14' class='xr-var-data-in' type='checkbox'><label for='data-a57c7f83-17b8-45b8-9617-113fc509ec14' 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>Yr in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         ...,\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.]],\n",
       "\n",
       "        [[1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         [1979., 1979., 1979., ..., 1979., 1979., 1979.],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ...,   nan,   nan,   nan],\n",
       "         [1981.,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tlev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-edd81505-d31f-4b48-b986-29960ec9ec32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-edd81505-d31f-4b48-b986-29960ec9ec32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3c40ccf-3175-49ae-a0b5-104c1b41bcc7' class='xr-var-data-in' type='checkbox'><label for='data-d3c40ccf-3175-49ae-a0b5-104c1b41bcc7' 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([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]],\n",
       "\n",
       "        [[288.05032, 287.80713, 287.58954, ..., 292.14618, 292.10223,\n",
       "          292.13214],\n",
       "         [287.67105, 287.40326, 287.13773, ..., 291.8407 , 291.77573,\n",
       "          291.7247 ],\n",
       "         [287.32748, 287.02225, 286.7828 , ..., 291.44745, 291.44223,\n",
       "          291.37372],\n",
       "...\n",
       "         [257.9551 , 255.47374, 252.6711 , ..., 262.8463 , 263.934  ,\n",
       "          264.36414],\n",
       "         [254.8736 , 249.99872, 246.77621, ..., 264.04886, 264.85196,\n",
       "          265.249  ],\n",
       "         [247.31294, 243.55327, 242.429  , ..., 265.24887, 265.84033,\n",
       "          266.17838]],\n",
       "\n",
       "        [[290.27393, 289.96036, 289.6592 , ..., 294.0525 , 293.99768,\n",
       "          293.94357],\n",
       "         [290.08368, 289.7618 , 289.4856 , ..., 293.68564, 293.5632 ,\n",
       "          293.50174],\n",
       "         [289.8331 , 289.52563, 289.2737 , ..., 293.26035, 293.223  ,\n",
       "          293.26416],\n",
       "         ...,\n",
       "         [259.65472, 257.11743, 254.2727 , ...,       nan,       nan,\n",
       "                nan],\n",
       "         [256.53827,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-76fa13ae-8562-4486-bc76-df4cd4d35542' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76fa13ae-8562-4486-bc76-df4cd4d35542' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd75093-ccb2-4d1f-b1c4-08e3b0e287cb' class='xr-var-data-in' type='checkbox'><label for='data-cdd75093-ccb2-4d1f-b1c4-08e3b0e287cb' 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([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]],\n",
       "\n",
       "        [[95533.02 , 95543.9  , 95561.1  , ..., 95419.21 , 95402.34 ,\n",
       "          95382.07 ],\n",
       "         [95633.195, 95650.766, 95665.32 , ..., 95522.2  , 95512.61 ,\n",
       "          95494.85 ],\n",
       "         [95735.23 , 95754.336, 95760.95 , ..., 95639.07 , 95622.234,\n",
       "          95605.484],\n",
       "...\n",
       "         [95268.71 , 94536.24 , 93494.805, ..., 89414.664, 91040.25 ,\n",
       "          91810.055],\n",
       "         [93170.45 , 91419.234, 89491.09 , ..., 90395.49 , 91536.5  ,\n",
       "          91958.12 ],\n",
       "         [86057.4  , 84905.34 , 84219.07 , ..., 91509.414, 91947.22 ,\n",
       "          91982.43 ]],\n",
       "\n",
       "        [[97495.84 , 97518.945, 97535.67 , ..., 97801.945, 97821.125,\n",
       "          97833.37 ],\n",
       "         [97554.22 , 97576.93 , 97595.72 , ..., 97868.24 , 97881.055,\n",
       "          97896.984],\n",
       "         [97619.26 , 97643.23 , 97659.05 , ..., 97943.29 , 97948.88 ,\n",
       "          97956.95 ],\n",
       "         ...,\n",
       "         [97443.95 , 96690.81 , 95619.984, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [95286.48 ,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 102068.03 ... 98230.06 nan</div><input id='attrs-397edfd2-a395-464b-acc1-5a75b9e95cec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-397edfd2-a395-464b-acc1-5a75b9e95cec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46a5c995-d595-48d6-bfc0-8bad6e38b97f' class='xr-var-data-in' type='checkbox'><label for='data-46a5c995-d595-48d6-bfc0-8bad6e38b97f' 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([[[[       nan, 102068.03 , 102068.03 ],\n",
       "         [       nan, 102079.78 , 102079.78 ],\n",
       "         [       nan, 102098.38 , 102098.38 ],\n",
       "         ...,\n",
       "         [       nan, 101945.01 , 101945.01 ],\n",
       "         [       nan, 101926.77 , 101926.77 ],\n",
       "         [       nan, 101904.86 , 101904.86 ]],\n",
       "\n",
       "        [[       nan, 102176.31 , 102176.31 ],\n",
       "         [       nan, 102195.305, 102195.305],\n",
       "         [       nan, 102211.03 , 102211.03 ],\n",
       "         ...,\n",
       "         [       nan, 102056.336, 102056.336],\n",
       "         [       nan, 102045.96 , 102045.96 ],\n",
       "         [       nan, 102026.766, 102026.766]],\n",
       "\n",
       "        [[       nan, 102286.6  , 102286.6  ],\n",
       "         [       nan, 102307.26 , 102307.26 ],\n",
       "         [       nan, 102314.41 , 102314.41 ],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [       nan,  95454.47 ,        nan],\n",
       "         [       nan,  97211.625,        nan],\n",
       "         [       nan,  98043.734,        nan]],\n",
       "\n",
       "        [[       nan,  99514.24 ,  99514.24 ],\n",
       "         [       nan,  97621.29 ,        nan],\n",
       "         [       nan,  95537.086,        nan],\n",
       "         ...,\n",
       "         [       nan,  96514.69 ,        nan],\n",
       "         [       nan,  97748.04 ,        nan],\n",
       "         [       nan,  98203.78 ,        nan]],\n",
       "\n",
       "        [[       nan,  91825.484,        nan],\n",
       "         [       nan,  90580.19 ,        nan],\n",
       "         [       nan,  89838.37 ,        nan],\n",
       "         ...,\n",
       "         [       nan,  97718.766,        nan],\n",
       "         [       nan,  98192.   ,        nan],\n",
       "         [       nan,  98230.06 ,        nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 293.90747 ... 271.51926 nan</div><input id='attrs-09d86ef3-7461-4b96-9118-356a832687b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09d86ef3-7461-4b96-9118-356a832687b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e858273-f7da-44ca-8fec-3c179abac99b' class='xr-var-data-in' type='checkbox'><label for='data-9e858273-f7da-44ca-8fec-3c179abac99b' 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([[[[      nan, 293.90747, 293.90747],\n",
       "         [      nan, 293.6864 , 293.6864 ],\n",
       "         [      nan, 293.51004, 293.51004],\n",
       "         ...,\n",
       "         [      nan, 297.85977, 297.85977],\n",
       "         [      nan, 297.7836 , 297.7836 ],\n",
       "         [      nan, 297.79803, 297.79803]],\n",
       "\n",
       "        [[      nan, 293.52835, 293.52835],\n",
       "         [      nan, 293.30334, 293.30334],\n",
       "         [      nan, 293.05682, 293.05682],\n",
       "         ...,\n",
       "         [      nan, 297.56564, 297.56564],\n",
       "         [      nan, 297.48126, 297.48126],\n",
       "         [      nan, 297.43344, 297.43344]],\n",
       "\n",
       "        [[      nan, 293.19296, 293.19296],\n",
       "         [      nan, 292.92856, 292.92856],\n",
       "         [      nan, 292.69818, 292.69818],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [      nan, 267.3478 ,       nan],\n",
       "         [      nan, 269.32535,       nan],\n",
       "         [      nan, 269.78006,       nan]],\n",
       "\n",
       "        [[      nan, 262.30142, 262.30142],\n",
       "         [      nan, 257.6048 ,       nan],\n",
       "         [      nan, 239.4861 ,       nan],\n",
       "         ...,\n",
       "         [      nan, 269.23486,       nan],\n",
       "         [      nan, 270.2335 ,       nan],\n",
       "         [      nan, 270.64502,       nan]],\n",
       "\n",
       "        [[      nan, 254.08711,       nan],\n",
       "         [      nan, 245.2119 ,       nan],\n",
       "         [      nan, 233.63533,       nan],\n",
       "         ...,\n",
       "         [      nan, 270.51587,       nan],\n",
       "         [      nan, 271.09384,       nan],\n",
       "         [      nan, 271.51926,       nan]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 0.011486784 ... nan</div><input id='attrs-834da83d-1ecf-45db-9b15-bdeec23506ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-834da83d-1ecf-45db-9b15-bdeec23506ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fdff574-7749-4a2b-bc8f-f0806d8539ac' class='xr-var-data-in' type='checkbox'><label for='data-0fdff574-7749-4a2b-bc8f-f0806d8539ac' 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([[[[           nan, 1.14867836e-02, 1.14867836e-02],\n",
       "         [           nan, 1.13031911e-02, 1.13031911e-02],\n",
       "         [           nan, 1.10679083e-02, 1.10679083e-02],\n",
       "         ...,\n",
       "         [           nan, 1.53330453e-02, 1.53330453e-02],\n",
       "         [           nan, 1.52907036e-02, 1.52907036e-02],\n",
       "         [           nan, 1.53392190e-02, 1.53392190e-02]],\n",
       "\n",
       "        [[           nan, 1.11766579e-02, 1.11766579e-02],\n",
       "         [           nan, 1.09012071e-02, 1.09012071e-02],\n",
       "         [           nan, 1.06608151e-02, 1.06608151e-02],\n",
       "         ...,\n",
       "         [           nan, 1.50418095e-02, 1.50418095e-02],\n",
       "         [           nan, 1.50017021e-02, 1.50017021e-02],\n",
       "         [           nan, 1.49660660e-02, 1.49660660e-02]],\n",
       "\n",
       "        [[           nan, 1.07901786e-02, 1.07901786e-02],\n",
       "         [           nan, 1.05126482e-02, 1.05126482e-02],\n",
       "         [           nan, 1.03168357e-02, 1.03168357e-02],\n",
       "         ...,\n",
       "...\n",
       "         [           nan, 1.96609786e-03,            nan],\n",
       "         [           nan, 1.84815773e-03,            nan],\n",
       "         [           nan, 1.86392432e-03,            nan]],\n",
       "\n",
       "        [[           nan, 1.50637550e-03, 1.50637550e-03],\n",
       "         [           nan, 1.22192409e-03,            nan],\n",
       "         [           nan, 1.87451617e-04,            nan],\n",
       "         ...,\n",
       "         [           nan, 2.11493368e-03,            nan],\n",
       "         [           nan, 2.19367142e-03,            nan],\n",
       "         [           nan, 2.22565210e-03,            nan]],\n",
       "\n",
       "        [[           nan, 9.83052421e-04,            nan],\n",
       "         [           nan, 4.53165179e-04,            nan],\n",
       "         [           nan, 9.25816057e-05,            nan],\n",
       "         ...,\n",
       "         [           nan, 2.63746129e-03,            nan],\n",
       "         [           nan, 2.73868674e-03,            nan],\n",
       "         [           nan, 2.75358884e-03,            nan]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan 39.52112 ... 28.1356 nan</div><input id='attrs-0fc33728-c80a-4d4b-9592-dc7cc0f75a2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fc33728-c80a-4d4b-9592-dc7cc0f75a2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92c3595f-767f-40da-a460-2ae3a72c5bd4' class='xr-var-data-in' type='checkbox'><label for='data-92c3595f-767f-40da-a460-2ae3a72c5bd4' 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([[[[            nan,  3.95211182e+01,  3.95211182e+01],\n",
       "         [            nan,  4.19245796e+01,  4.19245796e+01],\n",
       "         [            nan,  4.46588898e+01,  4.46588898e+01],\n",
       "         ...,\n",
       "         [            nan,  3.24018555e+01,  3.24018555e+01],\n",
       "         [            nan,  3.16118336e+01,  3.16118336e+01],\n",
       "         [            nan,  2.95429211e+01,  2.95429211e+01]],\n",
       "\n",
       "        [[            nan,  3.88123016e+01,  3.88123016e+01],\n",
       "         [            nan,  4.18553276e+01,  4.18553276e+01],\n",
       "         [            nan,  4.35411797e+01,  4.35411797e+01],\n",
       "         ...,\n",
       "         [            nan,  3.50743980e+01,  3.50743980e+01],\n",
       "         [            nan,  3.40490761e+01,  3.40490761e+01],\n",
       "         [            nan,  3.30452461e+01,  3.30452461e+01]],\n",
       "\n",
       "        [[            nan,  3.81399002e+01,  3.81399002e+01],\n",
       "         [            nan,  4.19566040e+01,  4.19566040e+01],\n",
       "         [            nan,  4.22343025e+01,  4.22343025e+01],\n",
       "         ...,\n",
       "...\n",
       "         [            nan,  8.54603481e+00,             nan],\n",
       "         [            nan,  3.95466614e+01,             nan],\n",
       "         [            nan,  3.71824837e+01,             nan]],\n",
       "\n",
       "        [[            nan,  4.97750549e+02,  4.97750549e+02],\n",
       "         [            nan,  5.40169495e+02,             nan],\n",
       "         [            nan,  3.53434920e-01,             nan],\n",
       "         ...,\n",
       "         [            nan,  2.91830769e+01,             nan],\n",
       "         [            nan,  3.22197723e+01,             nan],\n",
       "         [            nan,  3.17852879e+01,             nan]],\n",
       "\n",
       "        [[            nan,  4.03546875e+02,             nan],\n",
       "         [            nan,  1.05670631e+02,             nan],\n",
       "         [            nan, -3.73937111e+01,             nan],\n",
       "         ...,\n",
       "         [            nan,  3.20807495e+01,             nan],\n",
       "         [            nan,  2.63363686e+01,             nan],\n",
       "         [            nan,  2.81355991e+01,             nan]]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abc4dec8-0b52-4802-9d77-96bdb5834c7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-abc4dec8-0b52-4802-9d77-96bdb5834c7c' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Aug 31 17:46:50 MDT 2020</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_file :</span></dt><dd>/glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ.nc</dd><dt><span>title :</span></dt><dd>NCL used to get UTC; 4 early morning hours saved out.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 43, lev: 3, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 912.6 936.2 957.5\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan nan ... nan nan nan nan\n",
       "    PS       (time, lat, lon, lev) float32 nan 102068.03 ... 98230.06 nan\n",
       "    T2m      (time, lat, lon, lev) float32 nan 293.90747 ... 271.51926 nan\n",
       "    Q2m      (time, lat, lon, lev) float32 nan 0.011486784 ... 0.0027535888 nan\n",
       "    SHF      (time, lat, lon, lev) float32 nan 39.52112 39.52112 ... 28.1356 nan\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out."
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testMask2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan ... 0.0025533717 0.0025378529\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... 14.0 14.0 14.0\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... 31.0 31.0 31.0\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... 12.0 12.0 12.0\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan ... 270.21024 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan ... 97461.07 97498.84\n",
       "    PS       (time, lat, lon, lev) float32 nan nan nan ... 98230.06 98230.06\n",
       "    T2m      (time, lat, lon, lev) float32 nan nan nan ... 271.51926 271.51926\n",
       "    Q2m      (time, lat, lon, lev) float32 nan nan ... 0.0027535888 0.0027535888\n",
       "    SHF      (time, lat, lon, lev) float32 nan nan nan ... 28.1356 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out.</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-c8d8ca80-d453-40b8-b944-1c90cf1574b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8d8ca80-d453-40b8-b944-1c90cf1574b0' 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>: 43</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lon</span>: 65</li><li><span class='xr-has-index'>time</span>: 5475</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c481281e-8025-40f9-99e3-8cee1c070a82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c481281e-8025-40f9-99e3-8cee1c070a82' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.26 21.2 22.15 ... 58.9 59.84</div><input id='attrs-fb402f8b-c073-47d3-8259-8a2416541e14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb402f8b-c073-47d3-8259-8a2416541e14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcc1a70b-b1b2-4a74-96e9-c402949f4857' class='xr-var-data-in' type='checkbox'><label for='data-bcc1a70b-b1b2-4a74-96e9-c402949f4857' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822,\n",
       "       25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272,\n",
       "       31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723,\n",
       "       37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173,\n",
       "       42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623,\n",
       "       48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073,\n",
       "       54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524,\n",
       "       59.842932])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>220.0 221.2 222.5 ... 298.8 300.0</div><input id='attrs-13173a75-4787-40d6-971f-44f8d52091a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13173a75-4787-40d6-971f-44f8d52091a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08b6ba0b-e66e-463c-aeab-a07fb9c723da' class='xr-var-data-in' type='checkbox'><label for='data-08b6ba0b-e66e-463c-aeab-a07fb9c723da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([220.  , 221.25, 222.5 , 223.75, 225.  , 226.25, 227.5 , 228.75, 230.  ,\n",
       "       231.25, 232.5 , 233.75, 235.  , 236.25, 237.5 , 238.75, 240.  , 241.25,\n",
       "       242.5 , 243.75, 245.  , 246.25, 247.5 , 248.75, 250.  , 251.25, 252.5 ,\n",
       "       253.75, 255.  , 256.25, 257.5 , 258.75, 260.  , 261.25, 262.5 , 263.75,\n",
       "       265.  , 266.25, 267.5 , 268.75, 270.  , 271.25, 272.5 , 273.75, 275.  ,\n",
       "       276.25, 277.5 , 278.75, 280.  , 281.25, 282.5 , 283.75, 285.  , 286.25,\n",
       "       287.5 , 288.75, 290.  , 291.25, 292.5 , 293.75, 295.  , 296.25, 297.5 ,\n",
       "       298.75, 300.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-f6521d77-e1d9-4cad-8151-6ac274400c45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6521d77-e1d9-4cad-8151-6ac274400c45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-806e45c5-fca4-4114-81f7-8f30e6aa040b' class='xr-var-data-in' type='checkbox'><label for='data-806e45c5-fca4-4114-81f7-8f30e6aa040b' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-187fddf7-49bf-4502-bd0e-3c6fabe0265a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-187fddf7-49bf-4502-bd0e-3c6fabe0265a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffbe980b-4055-4ee3-93cf-f2860260855f' class='xr-var-data-in' type='checkbox'><label for='data-ffbe980b-4055-4ee3-93cf-f2860260855f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-efb0f672-bdba-4a57-a01c-5187eaeec555' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efb0f672-bdba-4a57-a01c-5187eaeec555' class='xr-section-summary' >Data variables: <span>(11)</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>Q</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.0025378529</div><input id='attrs-fe11653d-8de1-4606-a962-71a99fce6669' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe11653d-8de1-4606-a962-71a99fce6669' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4003096c-16b9-4f10-a339-f7e6f86d09ac' class='xr-var-data-in' type='checkbox'><label for='data-4003096c-16b9-4f10-a339-f7e6f86d09ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Specific humidity in UTC time.</dd><dt><span>mixing_ratio :</span></dt><dd>wet</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>mdims :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "...\n",
       "         [0.00112723, 0.00104606, 0.00091261, ..., 0.00176861,\n",
       "          0.0015836 , 0.0016116 ],\n",
       "         [0.00090006, 0.00070726, 0.00017608, ..., 0.00188376,\n",
       "          0.00194511, 0.0019618 ],\n",
       "         [0.00059882, 0.00030848, 0.00016413, ..., 0.00239867,\n",
       "          0.00248797, 0.00248786]],\n",
       "\n",
       "        [[0.01026147, 0.01015936, 0.0101258 , ..., 0.01480091,\n",
       "          0.01454424, 0.01431217],\n",
       "         [0.01038784, 0.01031294, 0.01017447, ..., 0.01407938,\n",
       "          0.01410212, 0.01392096],\n",
       "         [0.01048709, 0.01033231, 0.01019645, ..., 0.01340622,\n",
       "          0.0133755 , 0.01321725],\n",
       "         ...,\n",
       "         [0.00116168, 0.0010928 , 0.00097769, ..., 0.00180401,\n",
       "          0.00160617, 0.0016328 ],\n",
       "         [0.00094844, 0.00077385, 0.00019255, ..., 0.00191587,\n",
       "          0.00197351, 0.00199264],\n",
       "         [0.00065616, 0.00044048, 0.00010146, ..., 0.00244923,\n",
       "          0.00255337, 0.00253785]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_hr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 14.0 14.0 14.0</div><input id='attrs-9579ad8c-a23b-4fa9-a5ed-e7f1f9064539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9579ad8c-a23b-4fa9-a5ed-e7f1f9064539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2286970-2bfd-47e2-b43e-5302fa147887' class='xr-var-data-in' type='checkbox'><label for='data-d2286970-2bfd-47e2-b43e-5302fa147887' 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>Hour in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_day</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 31.0 31.0 31.0</div><input id='attrs-b41ce31f-8d3d-4894-82a3-ea0b024dce36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b41ce31f-8d3d-4894-82a3-ea0b024dce36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e64844-865e-4b56-be91-5f0a6d849533' class='xr-var-data-in' type='checkbox'><label for='data-42e64844-865e-4b56-be91-5f0a6d849533' 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>Day in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_mon</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 12.0 12.0 12.0</div><input id='attrs-e6633e03-c093-4d4e-bf19-3d1989553e26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6633e03-c093-4d4e-bf19-3d1989553e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9753c815-bb6f-45fe-8b9b-41d2ee1f3f4b' class='xr-var-data-in' type='checkbox'><label for='data-9753c815-bb6f-45fe-8b9b-41d2ee1f3f4b' 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>Mon in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_yr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1981.0 1981.0</div><input id='attrs-900119fa-eae0-4dee-a5df-f30bfae5ad0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-900119fa-eae0-4dee-a5df-f30bfae5ad0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c45728-f3b1-4b39-b2c7-f50ba037b57d' class='xr-var-data-in' type='checkbox'><label for='data-00c45728-f3b1-4b39-b2c7-f50ba037b57d' 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>Yr in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tlev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 270.21024 270.61188</div><input id='attrs-d8850cc9-949f-4bcd-a784-021004db8003' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8850cc9-949f-4bcd-a784-021004db8003' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da0bf55c-a9ff-42f7-aa63-a42cd7b8b524' class='xr-var-data-in' type='checkbox'><label for='data-da0bf55c-a9ff-42f7-aa63-a42cd7b8b524' 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([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "...\n",
       "         [261.1544 , 258.60855, 255.74565, ..., 265.94687, 267.09314,\n",
       "          267.53833],\n",
       "         [258.02972, 253.15683, 244.74489, ..., 267.19034, 268.02277,\n",
       "          268.42886],\n",
       "         [250.37347, 244.28221, 239.8702 , ..., 268.28964, 268.925  ,\n",
       "          269.31384]],\n",
       "\n",
       "        [[293.3083 , 292.98926, 292.68802, ..., 297.0505 , 296.97266,\n",
       "          296.93478],\n",
       "         [293.10632, 292.7815 , 292.5029 , ..., 296.70483, 296.57758,\n",
       "          296.51996],\n",
       "         [292.8373 , 292.52957, 292.30405, ..., 296.2661 , 296.23694,\n",
       "          296.2622 ],\n",
       "         ...,\n",
       "         [262.46725, 259.9523 , 257.14902, ..., 267.2067 , 268.36346,\n",
       "          268.80783],\n",
       "         [259.37192, 254.61285, 239.69476, ..., 268.4626 , 269.30063,\n",
       "          269.7102 ],\n",
       "         [251.77733, 245.56032, 234.18895, ..., 269.57468, 270.21024,\n",
       "          270.61188]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 97461.07 97498.84</div><input id='attrs-b2f79f90-f210-4697-92de-f4ac662f0de8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2f79f90-f210-4697-92de-f4ac662f0de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9f87985-6e02-40ef-b1b2-0411a13f4049' class='xr-var-data-in' type='checkbox'><label for='data-d9f87985-6e02-40ef-b1b2-0411a13f4049' 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([[[[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "...\n",
       "         [ 99369.125,  98597.69 ,  97500.85 , ...,  93203.664,\n",
       "           94915.73 ,  95726.484],\n",
       "         [ 97159.25 ,  95314.875,  93284.164, ...,  94236.67 ,\n",
       "           95438.375,  95882.42 ],\n",
       "         [ 89667.81 ,  88454.48 ,  87731.695, ...,  95409.85 ,\n",
       "           95870.94 ,  95908.02 ]],\n",
       "\n",
       "        [[101078.82 , 101102.92 , 101120.375, ..., 101398.21 ,\n",
       "          101418.23 , 101431.01 ],\n",
       "         [101139.73 , 101163.43 , 101183.03 , ..., 101467.39 ,\n",
       "          101480.766, 101497.38 ],\n",
       "         [101207.59 , 101232.6  , 101249.11 , ..., 101545.7  ,\n",
       "          101551.54 , 101559.96 ],\n",
       "         ...,\n",
       "         [101024.67 , 100238.805,  99121.46 , ...,  94743.914,\n",
       "           96487.99 ,  97313.91 ],\n",
       "         [ 98773.47 ,  96894.61 ,  94825.914, ...,  95796.24 ,\n",
       "           97020.414,  97472.76 ],\n",
       "         [ 91141.945,  89905.914,  89169.62 , ...,  96991.36 ,\n",
       "           97461.07 ,  97498.84 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 98230.06 98230.06</div><input id='attrs-6535518f-3a3c-4e9e-9764-80b270fccff2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6535518f-3a3c-4e9e-9764-80b270fccff2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7171314f-e558-480a-a373-cf2a1beb2266' class='xr-var-data-in' type='checkbox'><label for='data-7171314f-e558-480a-a373-cf2a1beb2266' 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([[[[       nan,        nan,        nan, ..., 102068.03 ,\n",
       "          102068.03 , 102068.03 ],\n",
       "         [       nan,        nan,        nan, ..., 102079.78 ,\n",
       "          102079.78 , 102079.78 ],\n",
       "         [       nan,        nan,        nan, ..., 102098.38 ,\n",
       "          102098.38 , 102098.38 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ..., 101945.01 ,\n",
       "          101945.01 , 101945.01 ],\n",
       "         [       nan,        nan,        nan, ..., 101926.77 ,\n",
       "          101926.77 , 101926.77 ],\n",
       "         [       nan,        nan,        nan, ..., 101904.86 ,\n",
       "          101904.86 , 101904.86 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ..., 102176.31 ,\n",
       "          102176.31 , 102176.31 ],\n",
       "         [       nan,        nan,        nan, ..., 102195.305,\n",
       "          102195.305, 102195.305],\n",
       "         [       nan,        nan,        nan, ..., 102211.03 ,\n",
       "          102211.03 , 102211.03 ],\n",
       "...\n",
       "         [       nan,        nan,        nan, ...,  96514.69 ,\n",
       "           96514.69 ,  96514.69 ],\n",
       "         [       nan,        nan,        nan, ...,  97748.04 ,\n",
       "           97748.04 ,  97748.04 ],\n",
       "         [       nan,        nan,        nan, ...,  98203.78 ,\n",
       "           98203.78 ,  98203.78 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,  91825.484,\n",
       "           91825.484,  91825.484],\n",
       "         [       nan,        nan,        nan, ...,  90580.19 ,\n",
       "           90580.19 ,  90580.19 ],\n",
       "         [       nan,        nan,        nan, ...,  89838.37 ,\n",
       "           89838.37 ,  89838.37 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,  97718.766,\n",
       "           97718.766,  97718.766],\n",
       "         [       nan,        nan,        nan, ...,  98192.   ,\n",
       "           98192.   ,  98192.   ],\n",
       "         [       nan,        nan,        nan, ...,  98230.06 ,\n",
       "           98230.06 ,  98230.06 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.51926 271.51926</div><input id='attrs-1706bb71-e8f8-4a40-8d4e-4696b5f09c6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1706bb71-e8f8-4a40-8d4e-4696b5f09c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c09ebcfb-855d-4c10-9550-04c8efc346eb' class='xr-var-data-in' type='checkbox'><label for='data-c09ebcfb-855d-4c10-9550-04c8efc346eb' 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([[[[      nan,       nan,       nan, ..., 293.90747, 293.90747,\n",
       "          293.90747],\n",
       "         [      nan,       nan,       nan, ..., 293.6864 , 293.6864 ,\n",
       "          293.6864 ],\n",
       "         [      nan,       nan,       nan, ..., 293.51004, 293.51004,\n",
       "          293.51004],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ..., 297.85977, 297.85977,\n",
       "          297.85977],\n",
       "         [      nan,       nan,       nan, ..., 297.7836 , 297.7836 ,\n",
       "          297.7836 ],\n",
       "         [      nan,       nan,       nan, ..., 297.79803, 297.79803,\n",
       "          297.79803]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ..., 293.52835, 293.52835,\n",
       "          293.52835],\n",
       "         [      nan,       nan,       nan, ..., 293.30334, 293.30334,\n",
       "          293.30334],\n",
       "         [      nan,       nan,       nan, ..., 293.05682, 293.05682,\n",
       "          293.05682],\n",
       "...\n",
       "         [      nan,       nan,       nan, ..., 269.23486, 269.23486,\n",
       "          269.23486],\n",
       "         [      nan,       nan,       nan, ..., 270.2335 , 270.2335 ,\n",
       "          270.2335 ],\n",
       "         [      nan,       nan,       nan, ..., 270.64502, 270.64502,\n",
       "          270.64502]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ..., 254.08711, 254.08711,\n",
       "          254.08711],\n",
       "         [      nan,       nan,       nan, ..., 245.2119 , 245.2119 ,\n",
       "          245.2119 ],\n",
       "         [      nan,       nan,       nan, ..., 233.63533, 233.63533,\n",
       "          233.63533],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ..., 270.51587, 270.51587,\n",
       "          270.51587],\n",
       "         [      nan,       nan,       nan, ..., 271.09384, 271.09384,\n",
       "          271.09384],\n",
       "         [      nan,       nan,       nan, ..., 271.51926, 271.51926,\n",
       "          271.51926]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.0027535888</div><input id='attrs-0fdea038-af7c-4a13-8213-b1f21e13d53d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fdea038-af7c-4a13-8213-b1f21e13d53d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-621b72af-3859-4e63-8776-12770a063218' class='xr-var-data-in' type='checkbox'><label for='data-621b72af-3859-4e63-8776-12770a063218' 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([[[[           nan,            nan,            nan, ...,\n",
       "          1.14867836e-02, 1.14867836e-02, 1.14867836e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.13031911e-02, 1.13031911e-02, 1.13031911e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.10679083e-02, 1.10679083e-02, 1.10679083e-02],\n",
       "         ...,\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.53330453e-02, 1.53330453e-02, 1.53330453e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.52907036e-02, 1.52907036e-02, 1.52907036e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.53392190e-02, 1.53392190e-02, 1.53392190e-02]],\n",
       "\n",
       "        [[           nan,            nan,            nan, ...,\n",
       "          1.11766579e-02, 1.11766579e-02, 1.11766579e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.09012071e-02, 1.09012071e-02, 1.09012071e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.06608151e-02, 1.06608151e-02, 1.06608151e-02],\n",
       "...\n",
       "          2.11493368e-03, 2.11493368e-03, 2.11493368e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.19367142e-03, 2.19367142e-03, 2.19367142e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.22565210e-03, 2.22565210e-03, 2.22565210e-03]],\n",
       "\n",
       "        [[           nan,            nan,            nan, ...,\n",
       "          9.83052421e-04, 9.83052421e-04, 9.83052421e-04],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          4.53165179e-04, 4.53165179e-04, 4.53165179e-04],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          9.25816057e-05, 9.25816057e-05, 9.25816057e-05],\n",
       "         ...,\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.63746129e-03, 2.63746129e-03, 2.63746129e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.73868674e-03, 2.73868674e-03, 2.73868674e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.75358884e-03, 2.75358884e-03, 2.75358884e-03]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 28.1356 28.1356</div><input id='attrs-9f8f7391-627d-4deb-8412-aaf27fadcda1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f8f7391-627d-4deb-8412-aaf27fadcda1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74bc7120-ed9a-459e-b894-778d0dea05ea' class='xr-var-data-in' type='checkbox'><label for='data-74bc7120-ed9a-459e-b894-778d0dea05ea' 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([[[[            nan,             nan,             nan, ...,\n",
       "           3.95211182e+01,  3.95211182e+01,  3.95211182e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.19245796e+01,  4.19245796e+01,  4.19245796e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.46588898e+01,  4.46588898e+01,  4.46588898e+01],\n",
       "         ...,\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.24018555e+01,  3.24018555e+01,  3.24018555e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.16118336e+01,  3.16118336e+01,  3.16118336e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.95429211e+01,  2.95429211e+01,  2.95429211e+01]],\n",
       "\n",
       "        [[            nan,             nan,             nan, ...,\n",
       "           3.88123016e+01,  3.88123016e+01,  3.88123016e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.18553276e+01,  4.18553276e+01,  4.18553276e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.35411797e+01,  4.35411797e+01,  4.35411797e+01],\n",
       "...\n",
       "           2.91830769e+01,  2.91830769e+01,  2.91830769e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.22197723e+01,  3.22197723e+01,  3.22197723e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.17852879e+01,  3.17852879e+01,  3.17852879e+01]],\n",
       "\n",
       "        [[            nan,             nan,             nan, ...,\n",
       "           4.03546875e+02,  4.03546875e+02,  4.03546875e+02],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           1.05670631e+02,  1.05670631e+02,  1.05670631e+02],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "          -3.73937111e+01, -3.73937111e+01, -3.73937111e+01],\n",
       "         ...,\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.20807495e+01,  3.20807495e+01,  3.20807495e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.63363686e+01,  2.63363686e+01,  2.63363686e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.81355991e+01,  2.81355991e+01,  2.81355991e+01]]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd21e595-346e-4eb5-96f0-27e5e32ee844' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd21e595-346e-4eb5-96f0-27e5e32ee844' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Aug 31 17:46:50 MDT 2020</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_file :</span></dt><dd>/glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ.nc</dd><dt><span>title :</span></dt><dd>NCL used to get UTC; 4 early morning hours saved out.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan ... 0.0025533717 0.0025378529\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... 14.0 14.0 14.0\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... 31.0 31.0 31.0\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... 12.0 12.0 12.0\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan ... 270.21024 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan ... 97461.07 97498.84\n",
       "    PS       (time, lat, lon, lev) float32 nan nan nan ... 98230.06 98230.06\n",
       "    T2m      (time, lat, lon, lev) float32 nan nan nan ... 271.51926 271.51926\n",
       "    Q2m      (time, lat, lon, lev) float32 nan nan ... 0.0027535888 0.0027535888\n",
       "    SHF      (time, lat, lon, lev) float32 nan nan nan ... 28.1356 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out."
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testMask_lo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
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   },
   "outputs": [
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       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan ... 0.0025533717 0.0025378529\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... 14.0 14.0 14.0\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... 31.0 31.0 31.0\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... 12.0 12.0 12.0\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan ... 270.21024 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan ... 97461.07 97498.84\n",
       "    PS       (time, lat, lon, lev) float32 nan nan nan ... 98230.06 98230.06\n",
       "    T2m      (time, lat, lon, lev) float32 nan nan nan ... 271.51926 271.51926\n",
       "    Q2m      (time, lat, lon, lev) float32 nan nan ... 0.0027535888 0.0027535888\n",
       "    SHF      (time, lat, lon, lev) float32 nan nan nan ... 28.1356 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out.</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-2f37127f-d431-4bc6-bad1-3d835582f30d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f37127f-d431-4bc6-bad1-3d835582f30d' 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>: 43</li><li><span class='xr-has-index'>lev</span>: 32</li><li><span class='xr-has-index'>lon</span>: 65</li><li><span class='xr-has-index'>time</span>: 5475</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6b5c1d3a-8652-40e0-a66b-01245089911b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b5c1d3a-8652-40e0-a66b-01245089911b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>220.0 221.2 222.5 ... 298.8 300.0</div><input id='attrs-cafd41b1-e3f5-4af6-9cab-325131b084ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cafd41b1-e3f5-4af6-9cab-325131b084ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8134b448-fab1-401f-bc08-94d54d16fdd0' class='xr-var-data-in' type='checkbox'><label for='data-8134b448-fab1-401f-bc08-94d54d16fdd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([220.  , 221.25, 222.5 , 223.75, 225.  , 226.25, 227.5 , 228.75, 230.  ,\n",
       "       231.25, 232.5 , 233.75, 235.  , 236.25, 237.5 , 238.75, 240.  , 241.25,\n",
       "       242.5 , 243.75, 245.  , 246.25, 247.5 , 248.75, 250.  , 251.25, 252.5 ,\n",
       "       253.75, 255.  , 256.25, 257.5 , 258.75, 260.  , 261.25, 262.5 , 263.75,\n",
       "       265.  , 266.25, 267.5 , 268.75, 270.  , 271.25, 272.5 , 273.75, 275.  ,\n",
       "       276.25, 277.5 , 278.75, 280.  , 281.25, 282.5 , 283.75, 285.  , 286.25,\n",
       "       287.5 , 288.75, 290.  , 291.25, 292.5 , 293.75, 295.  , 296.25, 297.5 ,\n",
       "       298.75, 300.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.643 7.595 14.36 ... 976.3 992.6</div><input id='attrs-4f8a9f8a-7629-471c-90dd-3d67f757b684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f8a9f8a-7629-471c-90dd-3d67f757b684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fc7dec8-6ecc-49d4-9370-4062744b334a' class='xr-var-data-in' type='checkbox'><label for='data-3fc7dec8-6ecc-49d4-9370-4062744b334a' 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>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd></dl></div><div class='xr-var-data'><pre>array([  3.643466,   7.59482 ,  14.356632,  24.61222 ,  35.92325 ,  43.19375 ,\n",
       "        51.677499,  61.520498,  73.750958,  87.82123 , 103.317127, 121.547241,\n",
       "       142.994039, 168.22508 , 197.908087, 232.828619, 273.910817, 322.241902,\n",
       "       379.100904, 445.992574, 524.687175, 609.778695, 691.38943 , 763.404481,\n",
       "       820.858369, 859.534767, 887.020249, 912.644547, 936.198398, 957.48548 ,\n",
       "       976.325407, 992.556095])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.26 21.2 22.15 ... 58.9 59.84</div><input id='attrs-298b1359-6a85-49e5-97d1-69385045f211' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-298b1359-6a85-49e5-97d1-69385045f211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60c81726-dbbc-4189-b64f-d9ee6d97fb4c' class='xr-var-data-in' type='checkbox'><label for='data-60c81726-dbbc-4189-b64f-d9ee6d97fb4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([20.26178 , 21.204188, 22.146597, 23.089005, 24.031414, 24.973822,\n",
       "       25.91623 , 26.858639, 27.801047, 28.743455, 29.685864, 30.628272,\n",
       "       31.570681, 32.513089, 33.455497, 34.397906, 35.340314, 36.282723,\n",
       "       37.225131, 38.167539, 39.109948, 40.052356, 40.994764, 41.937173,\n",
       "       42.879581, 43.82199 , 44.764398, 45.706806, 46.649215, 47.591623,\n",
       "       48.534031, 49.47644 , 50.418848, 51.361257, 52.303665, 53.246073,\n",
       "       54.188482, 55.13089 , 56.073298, 57.015707, 57.958115, 58.900524,\n",
       "       59.842932])</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'>1979-01-01 10:00:00 ... 1981-12-...</div><input id='attrs-206412e6-51b4-4631-865d-40af3740c167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-206412e6-51b4-4631-865d-40af3740c167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70bffb32-4d3d-4e8f-8365-468d8fceac00' class='xr-var-data-in' type='checkbox'><label for='data-70bffb32-4d3d-4e8f-8365-468d8fceac00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 1, 1, 10, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 11, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 1, 1, 12, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 12, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 13, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1981, 12, 31, 14, 0, 0, 0)], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68da3806-a6cc-4fe8-9945-c39a29e3b628' class='xr-section-summary-in' type='checkbox'  checked><label for='section-68da3806-a6cc-4fe8-9945-c39a29e3b628' class='xr-section-summary' >Data variables: <span>(11)</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>Q</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.0025378529</div><input id='attrs-024d593b-2948-4feb-911c-dfb7026e2c27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-024d593b-2948-4feb-911c-dfb7026e2c27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13776ea3-3eb4-4565-a6d6-41a853720f6f' class='xr-var-data-in' type='checkbox'><label for='data-13776ea3-3eb4-4565-a6d6-41a853720f6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>long_name :</span></dt><dd>Specific humidity in UTC time.</dd><dt><span>mixing_ratio :</span></dt><dd>wet</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>mdims :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "...\n",
       "         [0.00112723, 0.00104606, 0.00091261, ..., 0.00176861,\n",
       "          0.0015836 , 0.0016116 ],\n",
       "         [0.00090006, 0.00070726, 0.00017608, ..., 0.00188376,\n",
       "          0.00194511, 0.0019618 ],\n",
       "         [0.00059882, 0.00030848, 0.00016413, ..., 0.00239867,\n",
       "          0.00248797, 0.00248786]],\n",
       "\n",
       "        [[0.01026147, 0.01015936, 0.0101258 , ..., 0.01480091,\n",
       "          0.01454424, 0.01431217],\n",
       "         [0.01038784, 0.01031294, 0.01017447, ..., 0.01407938,\n",
       "          0.01410212, 0.01392096],\n",
       "         [0.01048709, 0.01033231, 0.01019645, ..., 0.01340622,\n",
       "          0.0133755 , 0.01321725],\n",
       "         ...,\n",
       "         [0.00116168, 0.0010928 , 0.00097769, ..., 0.00180401,\n",
       "          0.00160617, 0.0016328 ],\n",
       "         [0.00094844, 0.00077385, 0.00019255, ..., 0.00191587,\n",
       "          0.00197351, 0.00199264],\n",
       "         [0.00065616, 0.00044048, 0.00010146, ..., 0.00244923,\n",
       "          0.00255337, 0.00253785]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_hr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 14.0 14.0 14.0</div><input id='attrs-1a80b6bb-91bd-4b0e-ad4a-f7485741cdfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a80b6bb-91bd-4b0e-ad4a-f7485741cdfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2d24c54-c2af-482f-850a-ff418d52e3ee' class='xr-var-data-in' type='checkbox'><label for='data-c2d24c54-c2af-482f-850a-ff418d52e3ee' 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>Hour in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]],\n",
       "\n",
       "        [[14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         ...,\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.],\n",
       "         [14., 14., 14., ..., 14., 14., 14.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_day</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 31.0 31.0 31.0</div><input id='attrs-e743ee59-f11f-4ac8-b1c6-ae08a00776e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e743ee59-f11f-4ac8-b1c6-ae08a00776e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0fd8f37-50e8-4bd5-a921-4cf5cd003ef5' class='xr-var-data-in' type='checkbox'><label for='data-a0fd8f37-50e8-4bd5-a921-4cf5cd003ef5' 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>Day in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]],\n",
       "\n",
       "        [[31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         ...,\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.],\n",
       "         [31., 31., 31., ..., 31., 31., 31.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_mon</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 12.0 12.0 12.0</div><input id='attrs-c29d4214-441e-4ce8-892a-69fb1246f29e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c29d4214-441e-4ce8-892a-69fb1246f29e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3462b7d1-962e-48fe-9311-cab69a81d1ed' class='xr-var-data-in' type='checkbox'><label for='data-3462b7d1-962e-48fe-9311-cab69a81d1ed' 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>Mon in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "        [[nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         [nan, nan, nan, ..., nan, nan, nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]],\n",
       "\n",
       "        [[12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         ...,\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.],\n",
       "         [12., 12., 12., ..., 12., 12., 12.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UTC_yr</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1981.0 1981.0</div><input id='attrs-4a14f72c-bd72-417d-8a97-5246d7891144' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a14f72c-bd72-417d-8a97-5246d7891144' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa8f141a-5842-4b0a-b4e3-c4495865b3e0' class='xr-var-data-in' type='checkbox'><label for='data-aa8f141a-5842-4b0a-b4e3-c4495865b3e0' 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>Yr in UTC</dd><dt><span>calendar :</span></dt><dd>noleap</dd></dl></div><div class='xr-var-data'><pre>array([[[[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan]],\n",
       "\n",
       "        [[  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         [  nan,   nan,   nan, ...,   nan,   nan,   nan],\n",
       "         ...,\n",
       "...\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]],\n",
       "\n",
       "        [[1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         ...,\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.],\n",
       "         [1981., 1981., 1981., ..., 1981., 1981., 1981.]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tlev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 270.21024 270.61188</div><input id='attrs-01188ff6-d128-4195-8788-f51d587edddd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-01188ff6-d128-4195-8788-f51d587edddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ced92d0-ddbb-44a0-b60e-e54b5347cd2a' class='xr-var-data-in' type='checkbox'><label for='data-9ced92d0-ddbb-44a0-b60e-e54b5347cd2a' 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([[[[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "         [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "                nan],\n",
       "...\n",
       "         [261.1544 , 258.60855, 255.74565, ..., 265.94687, 267.09314,\n",
       "          267.53833],\n",
       "         [258.02972, 253.15683, 244.74489, ..., 267.19034, 268.02277,\n",
       "          268.42886],\n",
       "         [250.37347, 244.28221, 239.8702 , ..., 268.28964, 268.925  ,\n",
       "          269.31384]],\n",
       "\n",
       "        [[293.3083 , 292.98926, 292.68802, ..., 297.0505 , 296.97266,\n",
       "          296.93478],\n",
       "         [293.10632, 292.7815 , 292.5029 , ..., 296.70483, 296.57758,\n",
       "          296.51996],\n",
       "         [292.8373 , 292.52957, 292.30405, ..., 296.2661 , 296.23694,\n",
       "          296.2622 ],\n",
       "         ...,\n",
       "         [262.46725, 259.9523 , 257.14902, ..., 267.2067 , 268.36346,\n",
       "          268.80783],\n",
       "         [259.37192, 254.61285, 239.69476, ..., 268.4626 , 269.30063,\n",
       "          269.7102 ],\n",
       "         [251.77733, 245.56032, 234.18895, ..., 269.57468, 270.21024,\n",
       "          270.61188]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plev</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 97461.07 97498.84</div><input id='attrs-47d90461-1612-4b9d-bb0b-1f6752a16a03' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47d90461-1612-4b9d-bb0b-1f6752a16a03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f89431c2-696a-4743-ad0b-0b43a84ef459' class='xr-var-data-in' type='checkbox'><label for='data-f89431c2-696a-4743-ad0b-0b43a84ef459' 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([[[[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "         [       nan,        nan,        nan, ...,        nan,\n",
       "                 nan,        nan],\n",
       "...\n",
       "         [ 99369.125,  98597.69 ,  97500.85 , ...,  93203.664,\n",
       "           94915.73 ,  95726.484],\n",
       "         [ 97159.25 ,  95314.875,  93284.164, ...,  94236.67 ,\n",
       "           95438.375,  95882.42 ],\n",
       "         [ 89667.81 ,  88454.48 ,  87731.695, ...,  95409.85 ,\n",
       "           95870.94 ,  95908.02 ]],\n",
       "\n",
       "        [[101078.82 , 101102.92 , 101120.375, ..., 101398.21 ,\n",
       "          101418.23 , 101431.01 ],\n",
       "         [101139.73 , 101163.43 , 101183.03 , ..., 101467.39 ,\n",
       "          101480.766, 101497.38 ],\n",
       "         [101207.59 , 101232.6  , 101249.11 , ..., 101545.7  ,\n",
       "          101551.54 , 101559.96 ],\n",
       "         ...,\n",
       "         [101024.67 , 100238.805,  99121.46 , ...,  94743.914,\n",
       "           96487.99 ,  97313.91 ],\n",
       "         [ 98773.47 ,  96894.61 ,  94825.914, ...,  95796.24 ,\n",
       "           97020.414,  97472.76 ],\n",
       "         [ 91141.945,  89905.914,  89169.62 , ...,  96991.36 ,\n",
       "           97461.07 ,  97498.84 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PS</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 98230.06 98230.06</div><input id='attrs-a33274e9-aa6b-4116-a432-88ea504ec401' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a33274e9-aa6b-4116-a432-88ea504ec401' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd62657-20a1-4e7c-8620-2d23750a0a1c' class='xr-var-data-in' type='checkbox'><label for='data-1dd62657-20a1-4e7c-8620-2d23750a0a1c' 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([[[[       nan,        nan,        nan, ..., 102068.03 ,\n",
       "          102068.03 , 102068.03 ],\n",
       "         [       nan,        nan,        nan, ..., 102079.78 ,\n",
       "          102079.78 , 102079.78 ],\n",
       "         [       nan,        nan,        nan, ..., 102098.38 ,\n",
       "          102098.38 , 102098.38 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ..., 101945.01 ,\n",
       "          101945.01 , 101945.01 ],\n",
       "         [       nan,        nan,        nan, ..., 101926.77 ,\n",
       "          101926.77 , 101926.77 ],\n",
       "         [       nan,        nan,        nan, ..., 101904.86 ,\n",
       "          101904.86 , 101904.86 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ..., 102176.31 ,\n",
       "          102176.31 , 102176.31 ],\n",
       "         [       nan,        nan,        nan, ..., 102195.305,\n",
       "          102195.305, 102195.305],\n",
       "         [       nan,        nan,        nan, ..., 102211.03 ,\n",
       "          102211.03 , 102211.03 ],\n",
       "...\n",
       "         [       nan,        nan,        nan, ...,  96514.69 ,\n",
       "           96514.69 ,  96514.69 ],\n",
       "         [       nan,        nan,        nan, ...,  97748.04 ,\n",
       "           97748.04 ,  97748.04 ],\n",
       "         [       nan,        nan,        nan, ...,  98203.78 ,\n",
       "           98203.78 ,  98203.78 ]],\n",
       "\n",
       "        [[       nan,        nan,        nan, ...,  91825.484,\n",
       "           91825.484,  91825.484],\n",
       "         [       nan,        nan,        nan, ...,  90580.19 ,\n",
       "           90580.19 ,  90580.19 ],\n",
       "         [       nan,        nan,        nan, ...,  89838.37 ,\n",
       "           89838.37 ,  89838.37 ],\n",
       "         ...,\n",
       "         [       nan,        nan,        nan, ...,  97718.766,\n",
       "           97718.766,  97718.766],\n",
       "         [       nan,        nan,        nan, ...,  98192.   ,\n",
       "           98192.   ,  98192.   ],\n",
       "         [       nan,        nan,        nan, ...,  98230.06 ,\n",
       "           98230.06 ,  98230.06 ]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>T2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 271.51926 271.51926</div><input id='attrs-b449ad7b-c3e9-4f85-a669-2b77dc0f1967' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b449ad7b-c3e9-4f85-a669-2b77dc0f1967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67dd25de-bf6b-4762-9d6b-3f5e3233a228' class='xr-var-data-in' type='checkbox'><label for='data-67dd25de-bf6b-4762-9d6b-3f5e3233a228' 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([[[[      nan,       nan,       nan, ..., 293.90747, 293.90747,\n",
       "          293.90747],\n",
       "         [      nan,       nan,       nan, ..., 293.6864 , 293.6864 ,\n",
       "          293.6864 ],\n",
       "         [      nan,       nan,       nan, ..., 293.51004, 293.51004,\n",
       "          293.51004],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ..., 297.85977, 297.85977,\n",
       "          297.85977],\n",
       "         [      nan,       nan,       nan, ..., 297.7836 , 297.7836 ,\n",
       "          297.7836 ],\n",
       "         [      nan,       nan,       nan, ..., 297.79803, 297.79803,\n",
       "          297.79803]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ..., 293.52835, 293.52835,\n",
       "          293.52835],\n",
       "         [      nan,       nan,       nan, ..., 293.30334, 293.30334,\n",
       "          293.30334],\n",
       "         [      nan,       nan,       nan, ..., 293.05682, 293.05682,\n",
       "          293.05682],\n",
       "...\n",
       "         [      nan,       nan,       nan, ..., 269.23486, 269.23486,\n",
       "          269.23486],\n",
       "         [      nan,       nan,       nan, ..., 270.2335 , 270.2335 ,\n",
       "          270.2335 ],\n",
       "         [      nan,       nan,       nan, ..., 270.64502, 270.64502,\n",
       "          270.64502]],\n",
       "\n",
       "        [[      nan,       nan,       nan, ..., 254.08711, 254.08711,\n",
       "          254.08711],\n",
       "         [      nan,       nan,       nan, ..., 245.2119 , 245.2119 ,\n",
       "          245.2119 ],\n",
       "         [      nan,       nan,       nan, ..., 233.63533, 233.63533,\n",
       "          233.63533],\n",
       "         ...,\n",
       "         [      nan,       nan,       nan, ..., 270.51587, 270.51587,\n",
       "          270.51587],\n",
       "         [      nan,       nan,       nan, ..., 271.09384, 271.09384,\n",
       "          271.09384],\n",
       "         [      nan,       nan,       nan, ..., 271.51926, 271.51926,\n",
       "          271.51926]]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2m</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan ... 0.0027535888</div><input id='attrs-15b9cc45-e628-4e89-9310-96797a4e1e78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15b9cc45-e628-4e89-9310-96797a4e1e78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e2b7481-6766-4c16-af99-d2d6d19f52cc' class='xr-var-data-in' type='checkbox'><label for='data-4e2b7481-6766-4c16-af99-d2d6d19f52cc' 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([[[[           nan,            nan,            nan, ...,\n",
       "          1.14867836e-02, 1.14867836e-02, 1.14867836e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.13031911e-02, 1.13031911e-02, 1.13031911e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.10679083e-02, 1.10679083e-02, 1.10679083e-02],\n",
       "         ...,\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.53330453e-02, 1.53330453e-02, 1.53330453e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.52907036e-02, 1.52907036e-02, 1.52907036e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.53392190e-02, 1.53392190e-02, 1.53392190e-02]],\n",
       "\n",
       "        [[           nan,            nan,            nan, ...,\n",
       "          1.11766579e-02, 1.11766579e-02, 1.11766579e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.09012071e-02, 1.09012071e-02, 1.09012071e-02],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          1.06608151e-02, 1.06608151e-02, 1.06608151e-02],\n",
       "...\n",
       "          2.11493368e-03, 2.11493368e-03, 2.11493368e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.19367142e-03, 2.19367142e-03, 2.19367142e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.22565210e-03, 2.22565210e-03, 2.22565210e-03]],\n",
       "\n",
       "        [[           nan,            nan,            nan, ...,\n",
       "          9.83052421e-04, 9.83052421e-04, 9.83052421e-04],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          4.53165179e-04, 4.53165179e-04, 4.53165179e-04],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          9.25816057e-05, 9.25816057e-05, 9.25816057e-05],\n",
       "         ...,\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.63746129e-03, 2.63746129e-03, 2.63746129e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.73868674e-03, 2.73868674e-03, 2.73868674e-03],\n",
       "         [           nan,            nan,            nan, ...,\n",
       "          2.75358884e-03, 2.75358884e-03, 2.75358884e-03]]]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF</span></div><div class='xr-var-dims'>(time, lat, lon, lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 28.1356 28.1356</div><input id='attrs-26b3afb6-b185-4bd2-96e1-6501631193ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26b3afb6-b185-4bd2-96e1-6501631193ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d884b82b-7041-48d1-b613-c131a7ea6086' class='xr-var-data-in' type='checkbox'><label for='data-d884b82b-7041-48d1-b613-c131a7ea6086' 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([[[[            nan,             nan,             nan, ...,\n",
       "           3.95211182e+01,  3.95211182e+01,  3.95211182e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.19245796e+01,  4.19245796e+01,  4.19245796e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.46588898e+01,  4.46588898e+01,  4.46588898e+01],\n",
       "         ...,\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.24018555e+01,  3.24018555e+01,  3.24018555e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.16118336e+01,  3.16118336e+01,  3.16118336e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.95429211e+01,  2.95429211e+01,  2.95429211e+01]],\n",
       "\n",
       "        [[            nan,             nan,             nan, ...,\n",
       "           3.88123016e+01,  3.88123016e+01,  3.88123016e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.18553276e+01,  4.18553276e+01,  4.18553276e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           4.35411797e+01,  4.35411797e+01,  4.35411797e+01],\n",
       "...\n",
       "           2.91830769e+01,  2.91830769e+01,  2.91830769e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.22197723e+01,  3.22197723e+01,  3.22197723e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.17852879e+01,  3.17852879e+01,  3.17852879e+01]],\n",
       "\n",
       "        [[            nan,             nan,             nan, ...,\n",
       "           4.03546875e+02,  4.03546875e+02,  4.03546875e+02],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           1.05670631e+02,  1.05670631e+02,  1.05670631e+02],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "          -3.73937111e+01, -3.73937111e+01, -3.73937111e+01],\n",
       "         ...,\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           3.20807495e+01,  3.20807495e+01,  3.20807495e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.63363686e+01,  2.63363686e+01,  2.63363686e+01],\n",
       "         [            nan,             nan,             nan, ...,\n",
       "           2.81355991e+01,  2.81355991e+01,  2.81355991e+01]]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b40cf45c-1238-40fa-b5de-293be45035ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b40cf45c-1238-40fa-b5de-293be45035ba' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Aug 31 17:46:50 MDT 2020</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_file :</span></dt><dd>/glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09_f09_mg17.hourlyOutput.001.cam.h1.1979_hrQ.nc</dd><dt><span>title :</span></dt><dd>NCL used to get UTC; 4 early morning hours saved out.</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 43, lev: 32, lon: 65, time: 5475)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 220.0 221.2 222.5 223.8 ... 296.2 297.5 298.8 300.0\n",
       "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
       "  * lat      (lat) float64 20.26 21.2 22.15 23.09 ... 57.02 57.96 58.9 59.84\n",
       "  * time     (time) object 1979-01-01 10:00:00 ... 1981-12-31 14:00:00\n",
       "Data variables:\n",
       "    Q        (time, lev, lat, lon) float32 nan nan ... 0.0025533717 0.0025378529\n",
       "    UTC_hr   (time, lev, lat, lon) float32 nan nan nan nan ... 14.0 14.0 14.0\n",
       "    UTC_day  (time, lev, lat, lon) float32 nan nan nan nan ... 31.0 31.0 31.0\n",
       "    UTC_mon  (time, lev, lat, lon) float32 nan nan nan nan ... 12.0 12.0 12.0\n",
       "    UTC_yr   (time, lev, lat, lon) float32 nan nan nan ... 1981.0 1981.0 1981.0\n",
       "    Tlev     (time, lev, lat, lon) float32 nan nan nan ... 270.21024 270.61188\n",
       "    Plev     (time, lev, lat, lon) float32 nan nan nan ... 97461.07 97498.84\n",
       "    PS       (time, lat, lon, lev) float32 nan nan nan ... 98230.06 98230.06\n",
       "    T2m      (time, lat, lon, lev) float32 nan nan nan ... 271.51926 271.51926\n",
       "    Q2m      (time, lat, lon, lev) float32 nan nan ... 0.0027535888 0.0027535888\n",
       "    SHF      (time, lat, lon, lev) float32 nan nan nan ... 28.1356 28.1356\n",
       "Attributes:\n",
       "    creation_date:  Mon Aug 31 17:46:50 MDT 2020\n",
       "    Conventions:    None\n",
       "    source_file:    /glade/scratch/mdfowler/processedData/f.e21.FHIST_BGC.f09...\n",
       "    title:          NCL used to get UTC; 4 early morning hours saved out."
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testMask_lo\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray (lev: 32)>\n",
      "array([-81355.67  , -80960.53  , -80284.35  , -79258.8   , -78127.69  ,\n",
      "       -77400.64  , -76552.266 , -75567.97  , -74344.92  , -72937.89  ,\n",
      "       -71388.305 , -69565.29  , -67420.61  , -64897.508 , -62190.523 ,\n",
      "       -59267.21  , -55828.086 , -51782.13  , -47022.273 , -41422.55  ,\n",
      "       -34834.766 , -27711.477 , -20879.57  , -14850.953 , -10041.297 ,\n",
      "        -6803.5703,  -4502.672 ,  -2357.5781,   -385.8047,   1396.2031,\n",
      "         2973.3594,   4354.461 ], dtype=float32)\n",
      "Coordinates:\n",
      "    lat      float64 39.11\n",
      "    lon      float64 240.0\n",
      "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
      "    time     object 1979-01-03 10:00:00\n"
     ]
    }
   ],
   "source": [
    "print(ds_Full.Plev[10,:,20,16] - p50[10,20,16])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'PS' ()>\n",
      "array(72915.77, dtype=float32)\n",
      "Coordinates:\n",
      "    lat      float64 29.69\n",
      "    lon      float64 232.5\n",
      "    time     object 1979-01-03 10:00:00\n",
      "\n",
      "<xarray.DataArray 'Plev' (lev: 32)>\n",
      "array([   364.34656,    759.482  ,   1435.6632 ,   2461.222  ,\n",
      "         3592.325  ,   4319.375  ,   5167.75   ,   6152.05   ,\n",
      "         7375.0957 ,   8782.123  ,  10331.713  ,  12154.724  ,\n",
      "        14299.404  ,  16822.508  ,  19848.184  ,  23465.11   ,\n",
      "        27720.236  ,  32726.174  ,  38615.4    ,  45543.766  ,\n",
      "        53694.633  ,  62508.066  ,  70960.98   ,  78420.     ,\n",
      "        84370.84   ,  88376.78   ,  91223.62   ,  93877.68   ,\n",
      "        96317.29   ,  98522.12   , 100473.484  , 102149.68   ],\n",
      "      dtype=float32)\n",
      "Coordinates:\n",
      "    lat      float64 29.69\n",
      "    lon      float64 232.5\n",
      "  * lev      (lev) float64 3.643 7.595 14.36 24.61 ... 936.2 957.5 976.3 992.6\n",
      "    time     object 1979-01-03 10:00:00\n"
     ]
    }
   ],
   "source": [
    "print(p300[10,10,10])\n",
    "print()\n",
    "print(ds_Full.Plev[10,:,10,10])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the index above and below each of the desired pressure levels (50,100,150,300)\n",
    "ilev = np.arange(32)\n",
    "\n",
    "i50   = np.where(plev-p50 >= 0, plev, np.nan)  # This formatting of where keeps dimensionality, fills plev with NaN if condition not true\n",
    "i50_2 = np.where(plev-p50 < 0, plev, np.nan)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with 0.00 percent of days\n",
      "Done with 1.83 percent of days\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-90-5e33433fb1aa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     29\u001b[0m             \u001b[0mup150\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0miT\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLon\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miSplit_150\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m             \u001b[0miSplit_300\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwhere\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplev\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0miT\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLon\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mp300\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0miT\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLon\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     32\u001b[0m             \u001b[0mlo300\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0miT\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLon\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miSplit_300\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m             \u001b[0mup300\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0miT\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0miLon\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miSplit_300\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/dataarray.py\u001b[0m in \u001b[0;36mfunc\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m   2692\u001b[0m                 \u001b[0;32melse\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother_variable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvariable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2693\u001b[0m             )\n\u001b[0;32m-> 2694\u001b[0;31m             \u001b[0mcoords\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoords\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_merge_raw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother_coords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2695\u001b[0m             \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2696\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/coordinates.py\u001b[0m in \u001b[0;36m_merge_raw\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[0mindexes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindexes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 126\u001b[0;31m             \u001b[0mvariables\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmerge_coordinates_without_align\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    127\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/merge.py\u001b[0m in \u001b[0;36mmerge_coordinates_without_align\u001b[0;34m(objects, prioritized, exclude_dims)\u001b[0m\n\u001b[1;32m    326\u001b[0m         \u001b[0mfiltered\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcollected\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 328\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mmerge_collected\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiltered\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprioritized\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    329\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    330\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/merge.py\u001b[0m in \u001b[0;36mmerge_collected\u001b[0;34m(grouped, prioritized, compat)\u001b[0m\n\u001b[1;32m    226\u001b[0m                 \u001b[0mvariables\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mvariable\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mvariable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0melements_list\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m                 \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 228\u001b[0;31m                     \u001b[0mmerged_vars\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munique_variable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    229\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0mMergeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    230\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0mcompat\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"minimal\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/merge.py\u001b[0m in \u001b[0;36munique_variable\u001b[0;34m(name, variables, compat, equals)\u001b[0m\n\u001b[1;32m    119\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcompat\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"broadcast_equals\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m         \u001b[0mdim_lengths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbroadcast_dimension_size\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvariables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_dims\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim_lengths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcompat\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"no_conflicts\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36mset_dims\u001b[0;34m(self, dims, shape)\u001b[0m\n\u001b[1;32m   1404\u001b[0m             \u001b[0mexpanded_dims\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpanded_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_attrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_encoding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfastpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1405\u001b[0m         )\n\u001b[0;32m-> 1406\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mexpanded_var\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranspose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mdims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1407\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1408\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_stack_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdims\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_dim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36mtranspose\u001b[0;34m(self, *dims)\u001b[0m\n\u001b[1;32m   1348\u001b[0m             \u001b[0;31m# no need to transpose if only one dimension\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1349\u001b[0m             \u001b[0;31m# or dims are in same order\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1350\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdeep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1351\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1352\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mas_indexable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranspose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36mcopy\u001b[0;34m(self, deep, data)\u001b[0m\n\u001b[1;32m    905\u001b[0m         \u001b[0;31m# dims is already an immutable tuple\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    906\u001b[0m         \u001b[0;31m# attributes and encoding will be copied when the new Array is created\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 907\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_replace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    908\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    909\u001b[0m     def _replace(\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36m_replace\u001b[0;34m(self, dims, data, attrs, encoding)\u001b[0m\n\u001b[1;32m    918\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mencoding\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0m_default\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    919\u001b[0m             \u001b[0mencoding\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_encoding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 920\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdims\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattrs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfastpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    921\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    922\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__copy__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, dims, data, attrs, encoding, fastpath)\u001b[0m\n\u001b[1;32m    312\u001b[0m             \u001b[0munrecognized\u001b[0m \u001b[0mencoding\u001b[0m \u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \"\"\"\n\u001b[0;32m--> 314\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mas_compatible_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfastpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfastpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    315\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dims\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse_dimensions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    316\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_attrs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36mas_compatible_data\u001b[0;34m(data, fastpath)\u001b[0m\n\u001b[1;32m    235\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkind\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"O\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_possibly_convert_objects\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    238\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkind\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"M\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    239\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"datetime64[ns]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py\u001b[0m in \u001b[0;36m_possibly_convert_objects\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    171\u001b[0m     \u001b[0mdatetime64\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtimedelta64\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maccording\u001b[0m \u001b[0mto\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0mconvention\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m     \"\"\"\n\u001b[0;32m--> 173\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, index, dtype, name, copy, fastpath)\u001b[0m\n\u001b[1;32m    305\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msanitize_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraise_cast_failure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    306\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 307\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSingleBlockManager\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfastpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    308\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    309\u001b[0m         \u001b[0mgeneric\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNDFrame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfastpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, block, axis, do_integrity_check, fastpath)\u001b[0m\n\u001b[1;32m   1511\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1512\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mBlock\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1513\u001b[0;31m             \u001b[0mblock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmake_block\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1514\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1515\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblocks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mblock\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36mmake_block\u001b[0;34m(values, placement, klass, ndim, dtype)\u001b[0m\n\u001b[1;32m   3039\u001b[0m         \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDatetimeArray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_simple_new\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3040\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3041\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplacement\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3042\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3043\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, values, placement, ndim)\u001b[0m\n\u001b[1;32m   2587\u001b[0m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2589\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplacement\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2590\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2591\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, values, placement, ndim)\u001b[0m\n\u001b[1;32m    118\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    119\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_ndim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmgr_locs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplacement\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36mmgr_locs\u001b[0;34m(self, new_mgr_locs)\u001b[0m\n\u001b[1;32m    251\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mmgr_locs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mmgr_locs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_mgr_locs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 253\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_mgr_locs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlibinternals\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBlockPlacement\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    254\u001b[0m             \u001b[0mnew_mgr_locs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlibinternals\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBlockPlacement\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_mgr_locs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Find index above and below each of the desired pressure levels - 50,100,150,300\n",
    "lo50 = np.full([nTime,nLat,nLon], np.nan)\n",
    "up50 = np.full([nTime,nLat,nLon], np.nan)\n",
    "\n",
    "lo100 = np.full([nTime,nLat,nLon], np.nan)\n",
    "up100 = np.full([nTime,nLat,nLon], np.nan)\n",
    "\n",
    "lo150 = np.full([nTime,nLat,nLon], np.nan)\n",
    "up150 = np.full([nTime,nLat,nLon], np.nan)\n",
    "\n",
    "lo300 = np.full([nTime,nLat,nLon], np.nan)\n",
    "up300 = np.full([nTime,nLat,nLon], np.nan)\n",
    "\n",
    "# Yes, this is inefficient. But can't think of another way to do it right now... \n",
    "for iT in range(nTime):\n",
    "    for iLat in range(nLat):\n",
    "        for iLon in range(nLon):\n",
    "            \n",
    "            iSplit_50  = np.where(plev[iT,:,iLat,iLon]-p50[iT,iLat,iLon] >= 0)[0]\n",
    "            lo50[iT,iLat,iLon] = np.min(iSplit_50)\n",
    "            up50[iT,iLat,iLon] = np.min(iSplit_50)-1\n",
    "            \n",
    "            iSplit_100 = np.where(plev[iT,:,iLat,iLon]-p100[iT,iLat,iLon] >= 0)[0]\n",
    "            lo100[iT,iLat,iLon] = np.min(iSplit_100)\n",
    "            up100[iT,iLat,iLon] = np.min(iSplit_100)-1\n",
    "            \n",
    "            iSplit_150 = np.where(plev[iT,:,iLat,iLon]-p150[iT,iLat,iLon] >= 0)[0]\n",
    "            lo150[iT,iLat,iLon] = np.min(iSplit_150)\n",
    "            up150[iT,iLat,iLon] = np.min(iSplit_150)-1\n",
    "            \n",
    "            iSplit_300 = np.where(plev[iT,:,iLat,iLon]-p300[iT,iLat,iLon] >= 0)[0]\n",
    "            lo300[iT,iLat,iLon] = np.min(iSplit_300)\n",
    "            up300[iT,iLat,iLon] = np.min(iSplit_300)-1\n",
    "            \n",
    "    if (iT % 100)==0:\n",
    "        print('Done with %.2f percent of days' % ((iT/nTime)*100) )\n",
    "            "
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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