CouplingIndex_CAM5CLM5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:28:08.862452Z",
     "start_time": "2021-02-16T20:28:07.587356Z"
    }
   },
   "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",
    "#import regionmask\n",
    "from ComputeLCLpressure_function import ComputeLCLpressure\n",
    "\n",
    "# Plotting utils \n",
    "import matplotlib.pyplot as plt \n",
    "import matplotlib.colors as colors\n",
    "import cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.util\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in CAM5+CLM5 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished reading in CAM file\n",
      "Finished reading in CLM file\n"
     ]
    }
   ],
   "source": [
    "# Set directories for raw data \n",
    "cesmDir = '/glade/work/mdfowler/data/CLM5wCAM5_highOutput/'\n",
    "\n",
    "fileCLM = cesmDir+'f.e21.FHIST.f09_f09_mg17.CLM5wCAM5phys-subDailyOutput.001.clm2.h1.1979-89_10cmSoilWater.nc'\n",
    "fileCAM = cesmDir+'f.e21.FHIST.f09_f09_mg17.CLM5wCAM5phys-subDailyOutput.001.cam.h1.1979-89_CIvariables.nc'\n",
    "\n",
    "camDS = xr.open_dataset(fileCAM, decode_times=False)\n",
    "print('Finished reading in CAM file')\n",
    "clmDS = xr.open_dataset(fileCLM, decode_times=False)\n",
    "print('Finished reading in CLM file')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get lat and lon \n",
    "lat = camDS.lat.values\n",
    "lon = camDS.lon.values\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use Brian's code to adjust time to be midpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cesm_correct_time_CAM(ds):\n",
    "    \"\"\"Given a Dataset, check for time_bnds,\n",
    "       and use avg(time_bnds) to replace the time coordinate.\n",
    "       Purpose is to center the timestamp on the averaging inverval.   \n",
    "       NOTE: ds should have been loaded using `decode_times=False`\n",
    "    \"\"\"\n",
    "    assert 'time_bnds' in ds\n",
    "    assert 'time' in ds\n",
    "    correct_time_values = ds['time_bnds'].mean(dim='nbnd')\n",
    "    # copy any metadata:\n",
    "    correct_time_values.attrs = ds['time'].attrs\n",
    "    ds = ds.assign_coords({\"time\": correct_time_values})\n",
    "    ds = xr.decode_cf(ds)  # decode to datetime objects\n",
    "    return ds\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use this for CLM times too \n",
    "correct_time_values = camDS['time']\n",
    "clmDS = clmDS.assign_coords({\"time\": correct_time_values})\n",
    "clmDS = xr.decode_cf(clmDS) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average everything up to daily "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "camDS_daily = camDS.resample(time='1D').mean()\n",
    "clmDS_daily = clmDS.resample(time='1D').mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([cftime.DatetimeNoLeap(1979-06-01 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-02 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-03 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-04 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-05 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-06 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-07 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-08 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-09 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-10 00:00:00)], dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "camDS_daily['time'].values[0:10]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "<class 'cftime._cftime.DatetimeNoLeap'> is not convertible to datetime",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-34-8242e4cfbfdc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# To be able to easily access years, months, days - use Pandas\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[0mdates\u001b[0m    \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDatetimeIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcamDS_daily\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'time'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/glade/work/mdfowler/my_npl_clone/lib/python3.7/site-packages/pandas/core/indexes/datetimes.py\u001b[0m in \u001b[0;36m__new__\u001b[0;34m(cls, data, freq, tz, normalize, closed, ambiguous, dayfirst, yearfirst, dtype, copy, name)\u001b[0m\n\u001b[1;32m    251\u001b[0m             \u001b[0mdayfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m             \u001b[0myearfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myearfirst\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[0mambiguous\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mambiguous\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         )\n\u001b[1;32m    255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/glade/work/mdfowler/my_npl_clone/lib/python3.7/site-packages/pandas/core/arrays/datetimes.py\u001b[0m in \u001b[0;36m_from_sequence\u001b[0;34m(cls, data, dtype, copy, tz, freq, dayfirst, yearfirst, ambiguous)\u001b[0m\n\u001b[1;32m    318\u001b[0m             \u001b[0mdayfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    319\u001b[0m             \u001b[0myearfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 320\u001b[0;31m             \u001b[0mambiguous\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mambiguous\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    321\u001b[0m         )\n\u001b[1;32m    322\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/glade/work/mdfowler/my_npl_clone/lib/python3.7/site-packages/pandas/core/arrays/datetimes.py\u001b[0m in \u001b[0;36msequence_to_dt64ns\u001b[0;34m(data, dtype, copy, tz, dayfirst, yearfirst, ambiguous)\u001b[0m\n\u001b[1;32m   1753\u001b[0m             \u001b[0;31m#  or M8[ns] to denote wall times\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1754\u001b[0m             data, inferred_tz = objects_to_datetime64ns(\n\u001b[0;32m-> 1755\u001b[0;31m                 \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdayfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myearfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1756\u001b[0m             )\n\u001b[1;32m   1757\u001b[0m             \u001b[0mtz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmaybe_infer_tz\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtz\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minferred_tz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/glade/work/mdfowler/my_npl_clone/lib/python3.7/site-packages/pandas/core/arrays/datetimes.py\u001b[0m in \u001b[0;36mobjects_to_datetime64ns\u001b[0;34m(data, dayfirst, yearfirst, utc, errors, require_iso8601, allow_object)\u001b[0m\n\u001b[1;32m   1852\u001b[0m             \u001b[0mdayfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdayfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1853\u001b[0m             \u001b[0myearfirst\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myearfirst\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1854\u001b[0;31m             \u001b[0mrequire_iso8601\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrequire_iso8601\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   1855\u001b[0m         )\n\u001b[1;32m   1856\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime_object\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/tslib.pyx\u001b[0m in \u001b[0;36mpandas._libs.tslib.array_to_datetime\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: <class 'cftime._cftime.DatetimeNoLeap'> is not convertible to datetime"
     ]
    }
   ],
   "source": [
    "# To be able to easily access years, months, days - use Pandas \n",
    "dates    = pd.DatetimeIndex(camDS_daily['time'].values)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compute LCL pressure "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of times:  3833\n"
     ]
    }
   ],
   "source": [
    "nT = len(camDS_daily['time'].values)\n",
    "print('Number of times: ', nT)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with  0.0  % of days\n",
      "Done with  9.992173232454995  % of days\n",
      "Done with  19.98434646490999  % of days\n",
      "Done with  29.97651969736499  % of days\n",
      "Done with  39.96869292981998  % of days\n",
      "Done with  49.96086616227498  % of days\n",
      "Done with  59.95303939472998  % of days\n",
      "Done with  69.94521262718497  % of days\n",
      "Done with  79.93738585963996  % of days\n",
      "Done with  89.92955909209496  % of days\n",
      "Done with  99.92173232454996  % of days\n",
      "Finished computing LCL-pressure level successfully and saved pickle file:\n"
     ]
    }
   ],
   "source": [
    "fileOutName = '/glade/work/mdfowler/scripts/Coupling_CAM6CLM5/processed_data/LCL-pressure-HeightAboveGround_CAM5wCLM5.p'\n",
    "\n",
    "# ------- Start computing ----------\n",
    "\n",
    "# Convert temperature to ˚C \n",
    "T_degC = camDS_daily['TREFHT'].values - 273.15\n",
    "\n",
    "# Get RH as fraction, not %\n",
    "RH_frac = camDS_daily['RHREFHT'].values / 100.0 \n",
    "\n",
    "# Convert surface pressure to hPa \n",
    "PS_hPa = camDS_daily['PS'].values / 100.0\n",
    "\n",
    "# Compute dew point and P_LCL \n",
    "Td   = np.full([np.shape(T_degC)[0], len(lat), len(lon)], np.nan)  #Saved to be in Kelvin\n",
    "Plcl = np.full([np.shape(T_degC)[0], len(lat), len(lon)], np.nan)  #Saved to be in hPa \n",
    "\n",
    "# Define constants for dew point calculation\n",
    "c1 = 610.94   # [Pa]\n",
    "a1 = 7.625\n",
    "b1 = 243.04   # [degC]\n",
    "\n",
    "for iT in range(np.shape(T_degC)[0]):\n",
    "\n",
    "    # Compute dewpoint temperature:\n",
    "    numerator   = b1 * (np.log(RH_frac[iT,:,:]) + ( (a1*T_degC[iT,:,:])/(b1 + T_degC[iT,:,:]) ) )\n",
    "    denominator = a1 - np.log(RH_frac[iT,:,:]) - ( (a1*T_degC[iT,:,:])/(b1 + T_degC[iT,:,:]) ) \n",
    "\n",
    "    Td[iT,:,:] = (numerator/denominator) + 273.15   #Convert to K here too \n",
    "\n",
    "    # Compute pressure level of LCL:\n",
    "    inner        = ((camDS_daily['TREFHT'].values[iT,:,:] - Td[iT,:,:]) / 223.15) + 1  # Part inside ()\n",
    "#    Plcl[iT,:,:] = PS_hPa[iT,:,:]*(inner**(-3.5))\n",
    "    Plcl[iT,:,:] = PS_hPa[iT,:,:] - (PS_hPa[iT,:,:]*(inner**(-3.5)))    # Want to get distance above sfc in mb \n",
    "\n",
    "    if (iT % round(nT/10))==0: \n",
    "        print('Done with ', (iT/nT)*100, ' % of days')\n",
    "\n",
    "# Add check to set Plcl to zero if it's negative (below the surface pressure)\n",
    "Plcl[Plcl<0] = np.nan\n",
    "\n",
    "# Looking at Betts (2004), it looks like Plcl is actually the mean depth to cloud base; not just its pressure level\n",
    "#   So to get the depth of the layer from sfc to cloud bottom in hPa, need to take Plcl - PS. \n",
    "# Plcl = PS_hPa - Plcl\n",
    "\n",
    "# ------- Save out data --------\n",
    "\n",
    "# Save the array with residaul S.T. and S.M. z-scores in it \n",
    "\n",
    "pickle.dump( Plcl, open( fileOutName, \"wb\" ), protocol=4 )\n",
    "\n",
    "print('Finished computing LCL-pressure level successfully and saved pickle file:') \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in land mask \n",
    "filePath = '/glade/work/mdfowler/data/CESM2_clm4.5/f.e20.FHIST.f09_f09.cesm2_1_clm4.5.001.clm2.h1.1976-01-01-00000.nc'\n",
    "exDF     = xr.open_dataset(filePath,decode_times=False)\n",
    "\n",
    "landMask              = exDF.landmask.values.astype(float)\n",
    "landMask[landMask==0] = np.nan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sanity check: do variables look okay? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/glade/work/mdfowler/my_npl_clone/lib/python3.7/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '10-cm SM (time mean, 1980-2006)')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 880x560 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How about SM? \n",
    "\n",
    "fig=plt.figure(figsize=(11, 7), dpi= 80, facecolor='w', edgecolor='k')\n",
    "ax = fig.add_subplot(111, projection=ccrs.Robinson())\n",
    "ax.set_global()\n",
    "\n",
    "# Add cyclic point (where lon goes from 360˚ to 0˚) -- othwerwise, blank line \n",
    "SMavg_cyclic, lon_cyclic = cartopy.util.add_cyclic_point(np.squeeze(np.nanmean(clmDS_daily.SOILWATER_10CM.values,0)), lon)\n",
    "\n",
    "# Make plot\n",
    "contour_plot = ax.pcolormesh(lon_cyclic,lat,\n",
    "                             SMavg_cyclic,\n",
    "                             transform=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "cbar = plt.colorbar(contour_plot,orientation='horizontal')\n",
    "ax.set_title('10-cm SM (time mean)', fontsize=14)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Pressure Level of LCL (time average)')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Map out average pressure level of the LCL (in terms of height above sfc)\n",
    "\n",
    "fig=plt.figure(figsize=(8, 5), dpi= 80, facecolor='w', edgecolor='k')\n",
    "ax = fig.add_subplot(111, projection=ccrs.Robinson())\n",
    "ax.set_global()\n",
    "\n",
    "# Add cyclic point (where lon goes from 360˚ to 0˚) -- othwerwise, blank line \n",
    "Plcl_cyclic, lon_cyclic = cartopy.util.add_cyclic_point(np.squeeze(np.nanmean(Plcl,0)), lon)\n",
    "\n",
    "# Make plot\n",
    "contour_plot = ax.pcolormesh(lon_cyclic,lat,Plcl_cyclic,\n",
    "                             transform=ccrs.PlateCarree())\n",
    "ax.plot(lon_cyclic[206],lat[135],'r*',markersize=5,transform=ccrs.PlateCarree())   # Point for sanity check\n",
    "ax.coastlines()\n",
    "cbar = plt.colorbar(contour_plot, label='(hPa)',orientation='horizontal')\n",
    "ax.set_title('Pressure Level of LCL (time average)', fontsize=14)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot a timeseries of variables \n",
    "\n",
    "fig, ax1 = plt.subplots(1,1, figsize=(8, 5), facecolor='w', edgecolor='k')\n",
    "\n",
    "ax1.plot(dates, camDS_daily.SHFLX.values[:,135,206],'k-')\n",
    "ax1.set_ylabel('SHFLX (W/m2)')\n",
    "ax1.set_xlabel('Time')\n",
    "ax1.legend(['SHF'],loc='upper left',fontsize=12)\n",
    "ax1.set_title('Sanity check: SHF & Plcl [midwest point]', fontsize=14)\n",
    "ax1.axhline(0,color='gray')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(dates, Plcl[:,135,206], 'r-')\n",
    "ax2.set_ylabel('Plcl height above sfc (hPa)')\n",
    "ax2.legend(['Plcl'], loc='upper right',fontsize=12)\n",
    "\n",
    "ax1.set_xlim([datetime.date(1990,6,1), datetime.date(1990,7,1)])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save CI variables out to pickle files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "fileOut_CIvars = '/glade/work/mdfowler/data/CLM5wCAM5_highOutput/CLM5wCAM5_CI_Variables-SHFLX_LHFLX_SM_Plcl.p'\n",
    "\n",
    "# Make one big xr.Dataset containing all the information we need  \n",
    "dFull = camDS_daily\n",
    "dFull['soilM_10'] = (('time','lat','lon'), clmDS_daily.SOILWATER_10CM.values)\n",
    "dFull['Plcl'] = (('time','lat','lon'), Plcl)\n",
    "\n",
    "dFull.to_netcdf(path=fileOut_CIvars)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "testDS = xr.open_dataset(fileOut_CIvars, decode_times=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "</style><div class='xr-wrap'><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-b17431fb-ee91-40d1-9bcc-e39f970ecd53' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b17431fb-ee91-40d1-9bcc-e39f970ecd53' 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>: 192</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 3833</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b903f3e-3041-48fa-8947-5c23cc395034' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b903f3e-3041-48fa-8947-5c23cc395034' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1979-06-01 00:00:00 ... 1989-11-30 00:00:00</div><input id='attrs-9c77c5fe-0fd8-4f44-9586-a81bcedf2224' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c77c5fe-0fd8-4f44-9586-a81bcedf2224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59762592-8c9d-4f50-b02d-7be9e39d829f' class='xr-var-data-in' type='checkbox'><label for='data-59762592-8c9d-4f50-b02d-7be9e39d829f' 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><pre class='xr-var-data'>array([cftime.DatetimeNoLeap(1979-06-01 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-02 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1979-06-03 00:00:00), ...,\n",
       "       cftime.DatetimeNoLeap(1989-11-28 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1989-11-29 00:00:00),\n",
       "       cftime.DatetimeNoLeap(1989-11-30 00:00:00)], dtype=object)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-243110e5-a95e-470c-a598-d8002b7ff9fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-243110e5-a95e-470c-a598-d8002b7ff9fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2f2b1b1-3618-4fab-91d4-8e7978adad39' class='xr-var-data-in' type='checkbox'><label for='data-c2f2b1b1-3618-4fab-91d4-8e7978adad39' 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><pre class='xr-var-data'>array([  0.  ,   1.25,   2.5 , ..., 356.25, 357.5 , 358.75])</pre></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'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-91d88b69-bc9c-4580-8dae-d55b014b1cb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91d88b69-bc9c-4580-8dae-d55b014b1cb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b09b109-f4c3-44f0-858d-c55fd8124c52' class='xr-var-data-in' type='checkbox'><label for='data-1b09b109-f4c3-44f0-858d-c55fd8124c52' 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><pre class='xr-var-data'>array([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-06671c27-78d6-4a54-b42d-50907fe399bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06671c27-78d6-4a54-b42d-50907fe399bf' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>LHFLX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8cbc5b2-f358-4842-abf2-406065495e3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8cbc5b2-f358-4842-abf2-406065495e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3656feb-d685-4a5f-9634-a7483283e211' class='xr-var-data-in' type='checkbox'><label for='data-f3656feb-d685-4a5f-9634-a7483283e211' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></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'>...</div><input id='attrs-0f406545-b8b6-44b7-b1e1-fb697783e7b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f406545-b8b6-44b7-b1e1-fb697783e7b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca27403e-8795-4958-b260-5d2f9a5fb7c2' class='xr-var-data-in' type='checkbox'><label for='data-ca27403e-8795-4958-b260-5d2f9a5fb7c2' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>RHREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e513cbc-02b5-4bac-87dd-69f37ff75b1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e513cbc-02b5-4bac-87dd-69f37ff75b1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74a539ed-b8b3-4b04-97e6-0b1abfda60ed' class='xr-var-data-in' type='checkbox'><label for='data-74a539ed-b8b3-4b04-97e6-0b1abfda60ed' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>SHFLX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51559cd9-0347-41a6-a930-ddc2aec83df4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-51559cd9-0347-41a6-a930-ddc2aec83df4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c1cbe88-65f4-4074-a7bf-c3d135ca7fa9' class='xr-var-data-in' type='checkbox'><label for='data-4c1cbe88-65f4-4074-a7bf-c3d135ca7fa9' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a711113-d883-4b7a-abc1-e7bfc0698d87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a711113-d883-4b7a-abc1-e7bfc0698d87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f4840ea-0077-4390-8901-d17854f2f6a5' class='xr-var-data-in' type='checkbox'><label for='data-0f4840ea-0077-4390-8901-d17854f2f6a5' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>soilM_10</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4eb244d5-2c6d-4cbd-9332-d0e02e0bad4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4eb244d5-2c6d-4cbd-9332-d0e02e0bad4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e8adcea-0a7c-4bf3-99e3-d70ce7880eb7' class='xr-var-data-in' type='checkbox'><label for='data-6e8adcea-0a7c-4bf3-99e3-d70ce7880eb7' 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><pre class='xr-var-data'>[211949568 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>Plcl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-616cdb7c-a5e8-4c47-8176-56cc9e3d24a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-616cdb7c-a5e8-4c47-8176-56cc9e3d24a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f805a41e-f221-4524-a10f-a04efdced009' class='xr-var-data-in' type='checkbox'><label for='data-f805a41e-f221-4524-a10f-a04efdced009' 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><pre class='xr-var-data'>[211949568 values with dtype=float64]</pre></li></ul></div></li><li class='xr-section-item'><input id='section-7ae5952f-20e6-454e-adef-6730699496cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ae5952f-20e6-454e-adef-6730699496cd' 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>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 192, lon: 288, time: 3833)\n",
       "Coordinates:\n",
       "  * time      (time) object 1979-06-01 00:00:00 ... 1989-11-30 00:00:00\n",
       "  * lon       (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "  * lat       (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "Data variables:\n",
       "    LHFLX     (time, lat, lon) float32 ...\n",
       "    PS        (time, lat, lon) float32 ...\n",
       "    RHREFHT   (time, lat, lon) float32 ...\n",
       "    SHFLX     (time, lat, lon) float32 ...\n",
       "    TREFHT    (time, lat, lon) float32 ...\n",
       "    soilM_10  (time, lat, lon) float32 ...\n",
       "    Plcl      (time, lat, lon) float64 ..."
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testDS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now get CI itself (based on saved file above, so doing this locally) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:30:49.645844Z",
     "start_time": "2021-02-16T20:30:49.604667Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-5-deef5cccf824>:4: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  varsDS['time'] = varsDS.indexes['time'].to_datetimeindex()\n"
     ]
    }
   ],
   "source": [
    "fileName = '/Users/mdfowler/Documents/Analysis/Coupling_initial/data/day/CLM5wCAM5_CI_Variables-SHFLX_LHFLX_SM_Plcl.p'\n",
    "\n",
    "varsDS         = xr.open_dataset(fileName, decode_times=True)\n",
    "varsDS['time'] = varsDS.indexes['time'].to_datetimeindex()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:31:34.788915Z",
     "start_time": "2021-02-16T20:31:34.785936Z"
    }
   },
   "outputs": [],
   "source": [
    "lon = varsDS.lon.values\n",
    "lat = varsDS.lat.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:29:21.046673Z",
     "start_time": "2021-02-16T20:29:21.027186Z"
    }
   },
   "outputs": [
    {
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       "\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: 192, lon: 288, time: 3833)\n",
       "Coordinates:\n",
       "  * time      (time) object 1979-06-01 00:00:00 ... 1989-11-30 00:00:00\n",
       "  * lon       (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "  * lat       (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "Data variables:\n",
       "    LHFLX     (time, lat, lon) float32 ...\n",
       "    PS        (time, lat, lon) float32 ...\n",
       "    RHREFHT   (time, lat, lon) float32 ...\n",
       "    SHFLX     (time, lat, lon) float32 ...\n",
       "    TREFHT    (time, lat, lon) float32 ...\n",
       "    soilM_10  (time, lat, lon) float32 ...\n",
       "    Plcl      (time, lat, lon) float64 ...</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-5bd26a29-d133-4c65-96f7-693e7d4806c1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5bd26a29-d133-4c65-96f7-693e7d4806c1' 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>: 192</li><li><span class='xr-has-index'>lon</span>: 288</li><li><span class='xr-has-index'>time</span>: 3833</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-754bb8b9-f952-4b9b-ba82-bbc5215efbed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-754bb8b9-f952-4b9b-ba82-bbc5215efbed' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1979-06-01 00:00:00 ... 1989-11-...</div><input id='attrs-7846386d-56d0-42ba-ad37-dbbf41ff525c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7846386d-56d0-42ba-ad37-dbbf41ff525c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b98e927-018a-4d3a-9653-88efed73786e' class='xr-var-data-in' type='checkbox'><label for='data-9b98e927-018a-4d3a-9653-88efed73786e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1979, 6, 1, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 6, 2, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1979, 6, 3, 0, 0, 0, 0), ...,\n",
       "       cftime.DatetimeNoLeap(1989, 11, 28, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1989, 11, 29, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1989, 11, 30, 0, 0, 0, 0)], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.25 2.5 ... 356.2 357.5 358.8</div><input id='attrs-31271c0a-e6ea-497e-bbf4-9a6b3617f6fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31271c0a-e6ea-497e-bbf4-9a6b3617f6fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329a3767-2990-47fe-b81b-024b645ceb68' class='xr-var-data-in' type='checkbox'><label for='data-329a3767-2990-47fe-b81b-024b645ceb68' 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([  0.  ,   1.25,   2.5 , ..., 356.25, 357.5 , 358.75])</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'>-90.0 -89.06 -88.12 ... 89.06 90.0</div><input id='attrs-b39769de-8287-474c-a6c6-ab1010c7631d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b39769de-8287-474c-a6c6-ab1010c7631d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-742cc7ce-ae2e-4dbd-8ac6-d311745c4c3e' class='xr-var-data-in' type='checkbox'><label for='data-742cc7ce-ae2e-4dbd-8ac6-d311745c4c3e' 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([-90.      , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,\n",
       "       -84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,\n",
       "       -78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,\n",
       "       -73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,\n",
       "       -67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,\n",
       "       -61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,\n",
       "       -56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,\n",
       "       -50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,\n",
       "       -44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,\n",
       "       -39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,\n",
       "       -33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,\n",
       "       -27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,\n",
       "       -22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,\n",
       "       -16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,\n",
       "       -10.837696,  -9.895288,  -8.95288 ,  -8.010471,  -7.068063,  -6.125654,\n",
       "        -5.183246,  -4.240838,  -3.298429,  -2.356021,  -1.413613,  -0.471204,\n",
       "         0.471204,   1.413613,   2.356021,   3.298429,   4.240838,   5.183246,\n",
       "         6.125654,   7.068063,   8.010471,   8.95288 ,   9.895288,  10.837696,\n",
       "        11.780105,  12.722513,  13.664921,  14.60733 ,  15.549738,  16.492147,\n",
       "        17.434555,  18.376963,  19.319372,  20.26178 ,  21.204188,  22.146597,\n",
       "        23.089005,  24.031414,  24.973822,  25.91623 ,  26.858639,  27.801047,\n",
       "        28.743455,  29.685864,  30.628272,  31.570681,  32.513089,  33.455497,\n",
       "        34.397906,  35.340314,  36.282723,  37.225131,  38.167539,  39.109948,\n",
       "        40.052356,  40.994764,  41.937173,  42.879581,  43.82199 ,  44.764398,\n",
       "        45.706806,  46.649215,  47.591623,  48.534031,  49.47644 ,  50.418848,\n",
       "        51.361257,  52.303665,  53.246073,  54.188482,  55.13089 ,  56.073298,\n",
       "        57.015707,  57.958115,  58.900524,  59.842932,  60.78534 ,  61.727749,\n",
       "        62.670157,  63.612565,  64.554974,  65.497382,  66.439791,  67.382199,\n",
       "        68.324607,  69.267016,  70.209424,  71.151832,  72.094241,  73.036649,\n",
       "        73.979058,  74.921466,  75.863874,  76.806283,  77.748691,  78.691099,\n",
       "        79.633508,  80.575916,  81.518325,  82.460733,  83.403141,  84.34555 ,\n",
       "        85.287958,  86.230366,  87.172775,  88.115183,  89.057592,  90.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c36a8e7d-ce7f-4ee3-b1e1-a91354d1719d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c36a8e7d-ce7f-4ee3-b1e1-a91354d1719d' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>LHFLX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90b1bd07-488c-405f-9191-5fc788899d8b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90b1bd07-488c-405f-9191-5fc788899d8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d7e2691-e3e8-46fd-9ea8-20c4373412be' class='xr-var-data-in' type='checkbox'><label for='data-3d7e2691-e3e8-46fd-9ea8-20c4373412be' 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>[211949568 values with 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'>...</div><input id='attrs-c2b5b435-adec-4f04-9778-25cea9e145fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2b5b435-adec-4f04-9778-25cea9e145fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f07bd20-4bff-426d-a952-b4d58e188383' class='xr-var-data-in' type='checkbox'><label for='data-7f07bd20-4bff-426d-a952-b4d58e188383' 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>[211949568 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RHREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-284c01a5-885d-40f0-bf35-033a0b96b611' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-284c01a5-885d-40f0-bf35-033a0b96b611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4a65ec4-008b-4c7a-859e-2ec24fedd439' class='xr-var-data-in' type='checkbox'><label for='data-e4a65ec4-008b-4c7a-859e-2ec24fedd439' 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>[211949568 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHFLX</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b515091-84d7-47a9-8930-9396eff110eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b515091-84d7-47a9-8930-9396eff110eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1cdd302-b89d-43d0-a1df-1b7f89c8c4de' class='xr-var-data-in' type='checkbox'><label for='data-a1cdd302-b89d-43d0-a1df-1b7f89c8c4de' 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>[211949568 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TREFHT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dead6fd8-0501-4b68-a45a-750ddcc6daba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dead6fd8-0501-4b68-a45a-750ddcc6daba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c5eeeb3-2c2f-48d1-8470-dc551be18786' class='xr-var-data-in' type='checkbox'><label for='data-6c5eeeb3-2c2f-48d1-8470-dc551be18786' 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>[211949568 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soilM_10</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2d1d6b2-aefd-42f4-be89-27573b619dc2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2d1d6b2-aefd-42f4-be89-27573b619dc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe471c37-98c8-4df8-a8bd-97dd5838cff2' class='xr-var-data-in' type='checkbox'><label for='data-fe471c37-98c8-4df8-a8bd-97dd5838cff2' 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>[211949568 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Plcl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8ca7aef-99ae-417e-858a-1cc5aee42121' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8ca7aef-99ae-417e-858a-1cc5aee42121' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50ade51b-9742-47f2-a9c3-89cfea746f02' class='xr-var-data-in' type='checkbox'><label for='data-50ade51b-9742-47f2-a9c3-89cfea746f02' 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>[211949568 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88a4b1b0-16e2-4a37-8f77-4609d6cf63c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88a4b1b0-16e2-4a37-8f77-4609d6cf63c0' 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>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (lat: 192, lon: 288, time: 3833)\n",
       "Coordinates:\n",
       "  * time      (time) object 1979-06-01 00:00:00 ... 1989-11-30 00:00:00\n",
       "  * lon       (lon) float64 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "  * lat       (lat) float64 -90.0 -89.06 -88.12 -87.17 ... 88.12 89.06 90.0\n",
       "Data variables:\n",
       "    LHFLX     (time, lat, lon) float32 ...\n",
       "    PS        (time, lat, lon) float32 ...\n",
       "    RHREFHT   (time, lat, lon) float32 ...\n",
       "    SHFLX     (time, lat, lon) float32 ...\n",
       "    TREFHT    (time, lat, lon) float32 ...\n",
       "    soilM_10  (time, lat, lon) float32 ...\n",
       "    Plcl      (time, lat, lon) float64 ..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "varsDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:31:13.914752Z",
     "start_time": "2021-02-16T20:30:52.455570Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/common.py:1123: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.\n",
      "The new arguments that you should use are 'offset' or 'origin'.\n",
      "\n",
      ">>> df.resample(freq=\"3s\", base=2)\n",
      "\n",
      "becomes:\n",
      "\n",
      ">>> df.resample(freq=\"3s\", offset=\"2s\")\n",
      "\n",
      "  grouper = pd.Grouper(\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1664: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n"
     ]
    }
   ],
   "source": [
    "terra_coupling = cm.metrics.CouplingIndex()\n",
    "terra_coupling = terra_coupling.compute(varsDS, xname='soilM_10',yname='LHFLX',averaging='season')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:31:42.031393Z",
     "start_time": "2021-02-16T20:31:41.671640Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Terrestrial Coupling Index (10cm SM and LHFLX) [DJF]')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 880x560 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(11, 7), dpi= 80, facecolor='w', edgecolor='k')\n",
    "ax = fig.add_subplot(111, projection=ccrs.Robinson())\n",
    "ax.set_global()\n",
    "\n",
    "# Add cyclic point (where lon goes from 360˚ to 0˚) -- othwerwise, blank line \n",
    "terraCoupl_DJF, lon_cyclic = cartopy.util.add_cyclic_point(np.squeeze(terra_coupling.soilM_10_LHFLX_CI[0,:,:]), lon)\n",
    "\n",
    "# Make plot\n",
    "contour_plot = ax.pcolormesh(lon_cyclic,lat,terraCoupl_DJF,vmin=-30,vmax=30,cmap='bwr',transform=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "cbar = plt.colorbar(contour_plot, label='[kg/m2]',orientation='horizontal')\n",
    "ax.set_title('Terrestrial Coupling Index (10cm SM and LHFLX) ['+np.asarray(terra_coupling.season)[0]+']', fontsize=14)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:32:28.290841Z",
     "start_time": "2021-02-16T20:32:28.278284Z"
    }
   },
   "outputs": [],
   "source": [
    "# Save to netCDF file\n",
    "terra_coupling.to_netcdf('/Users/mdfowler/Documents/Analysis/Coupling_initial/Coupling_CAM6CLM5/processed_data/TerraLeg_coupling_lhf_vs_soilm_CAM5-CLM5.nc')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:33:34.301966Z",
     "start_time": "2021-02-16T20:33:12.049003Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/common.py:1123: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.\n",
      "The new arguments that you should use are 'offset' or 'origin'.\n",
      "\n",
      ">>> df.resample(freq=\"3s\", base=2)\n",
      "\n",
      "becomes:\n",
      "\n",
      ">>> df.resample(freq=\"3s\", offset=\"2s\")\n",
      "\n",
      "  grouper = pd.Grouper(\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1664: RuntimeWarning: Degrees of freedom <= 0 for slice.\n",
      "  var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n"
     ]
    }
   ],
   "source": [
    "# --- Compute coupling index between soil moisture and sensible heat flux (terrestrial leg) --- # \n",
    "\n",
    "# Compute coupling index \n",
    "terraLeg_coupling = cm.metrics.CouplingIndex()\n",
    "terraLeg_coupling = terraLeg_coupling.compute(varsDS, xname='soilM_10',yname='SHFLX',averaging='season')\n",
    "\n",
    "# Save to netCDF file\n",
    "terraLeg_coupling.to_netcdf('/Users/mdfowler/Documents/Analysis/Coupling_initial/Coupling_CAM6CLM5/processed_data/TerraLeg_coupling_shf_vs_soilm_CAM5-CLM5.nc')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-02-16T20:34:18.166634Z",
     "start_time": "2021-02-16T20:33:47.690531Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/common.py:1123: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.\n",
      "The new arguments that you should use are 'offset' or 'origin'.\n",
      "\n",
      ">>> df.resample(freq=\"3s\", base=2)\n",
      "\n",
      "becomes:\n",
      "\n",
      ">>> df.resample(freq=\"3s\", offset=\"2s\")\n",
      "\n",
      "  grouper = pd.Grouper(\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n",
      "/Users/mdfowler/opt/anaconda3/envs/newBase/lib/python3.8/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n"
     ]
    }
   ],
   "source": [
    "# --- Compute coupling index between sensible heat flux and pressure level of LCL (atmospheric leg) --- #\n",
    "\n",
    "# Compute coupling index \n",
    "atmoLeg_coupling = cm.metrics.CouplingIndex()\n",
    "atmoLeg_coupling = atmoLeg_coupling.compute(varsDS, xname='SHFLX',yname='Plcl',averaging='season')\n",
    "\n",
    "# Save to netCDF file \n",
    "atmoLeg_coupling.to_netcdf('/Users/mdfowler/Documents/Analysis/Coupling_initial/Coupling_CAM6CLM5/processed_data/AtmoLeg_coupling_Plcl_vs_shf_CAM5-CLM5.nc')\n",
    "\n"
   ]
  },
  {
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