eccov4-r4-sohc.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SOHC in ECCOv4-r4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we derive a time series of the subpolar ocean heat content (SOHC) in ECCOv4-r4. The SOHC is a fixed volume defined by the following limits:  \n",
    "\n",
    "Latitude range: [45°N, 67°N]\n",
    "\n",
    "Longitude range: [-100°E, 20°E]\n",
    "\n",
    "Depth range: [-1000 m, 0 m]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Prepare environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "from pprint import pprint\n",
    "import pandas as pd\n",
    "import importlib\n",
    "import pyresample\n",
    "import cartopy\n",
    "import dask\n",
    "import xgcm\n",
    "import sys"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Suppress warning messages for a cleaner presentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import the ecco_v4_py library into Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# tell python where to find ECCOv4-py\n",
    "sys.path.append('/Users/USERNAME/ECCOv4-py/ECCOv4-py')\n",
    "\n",
    "# import ecco_v4_py \n",
    "import ecco_v4_py as ecco"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import module for plotting\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set directories for data locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Set top-level file directory for the ECCO NetCDF files\n",
    "## =================================================================\n",
    "\n",
    "# Define main directory\n",
    "base_dir = '/Users/USERNAME/ECCOv4-py/Version4/'\n",
    "\n",
    "# Define ECCO version\n",
    "ecco_version = 'v4r4'\n",
    "\n",
    "# Define a high-level directory for ECCO fields\n",
    "ECCO_dir = base_dir + '/Release4'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load ECCOv4 grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the model grid\n",
    "grid_dir= ECCO_dir + '/nctiles_grid/'\n",
    "ecco_grid = ecco.load_ecco_grid_nc(grid_dir, 'ECCO-GRID.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load for monthly mean data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading files of  THETA\n"
     ]
    }
   ],
   "source": [
    "year_start = 1993\n",
    "year_end = 2017\n",
    "\n",
    "data_dir= ECCO_dir + '/nctiles_monthly'\n",
    "\n",
    "ecco_monthly_mean = ecco.recursive_load_ecco_var_from_years_nc(data_dir, \\\n",
    "                        vars_to_load=['THETA'],\\\n",
    "                        years_to_load=range(year_start, year_end))\n",
    "\n",
    "# merge into combined grid and vars dataset\n",
    "ecco_ds = []\n",
    "ecco_ds = xr.merge((ecco_grid , ecco_monthly_mean)).load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create lat-lon mask \n",
    "ones = xr.ones_like(ecco_ds.XC)\n",
    "sohc_maskC = ones.where((ecco_ds.YC >= 45)&\n",
    "                        (ecco_ds.YC <= 67)&\n",
    "                        (ecco_ds.XC >= -100)&\n",
    "                        (ecco_ds.XC <= 20),0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the mask\n",
    "plt.figure(figsize=(12,6))\n",
    "ecco.plot_proj_to_latlon_grid(ecco_ds.XC,ecco_ds.YC,sohc_maskC,\n",
    "                              projection_type='robin',\n",
    "                              cmap='viridis',\n",
    "                              user_lon_0=0,\n",
    "                              show_colorbar=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create vertical mask\n",
    "onesK = xr.ones_like(ecco_ds.Z)\n",
    "sohc_maskK = onesK.where(ecco_ds.Z>=-1000.0,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate monthly climatology\n",
    "theta_clim = ecco_ds.THETA.groupby('time.month').mean(dim='time')\n",
    "\n",
    "# calculate monthly anomaly\n",
    "theta_anom = ecco_ds.THETA.groupby('time.month') - theta_clim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# constants (chosen for consistency with EN4 analysis)\n",
    "rhoconst = 1000   # kg/m^3\n",
    "c_p = 4000        # J/(kg K)\n",
    "\n",
    "# calculate ocean heat content\n",
    "ohc = rhoconst * c_p * (theta_anom *\n",
    "                   ecco_ds.rA *\n",
    "                   ecco_ds.drF *\n",
    "                   sohc_maskC *\n",
    "                   sohc_maskK *\n",
    "                   ecco_ds.hFacC).sum(dim=['tile', 'j', 'i','k'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove model timestep from coordinate \n",
    "ohc = ohc.reset_coords(drop=True,names='timestep')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set attributes\n",
    "ohc.attrs[\"units\"] = \"J\"\n",
    "ohc.attrs[\"units_long_name\"] = \"Joules\"\n",
    "ohc.attrs[\"long_name\"] = \"Subpolar ocean heat content (SOHC)\"\n",
    "ohc.attrs[\"source\"] = \"ECCOv4 release 4\"\n",
    "ohc.attrs[\"source_url\"] = \"https://ecco-group.org/products-ECCO-V4r4.htm\"\n",
    "ohc.attrs[\"source_description_paper\"] = \"doi:10.5194/gmd-8-3071-2015\"\n",
    "ohc.attrs[\"latitude_range\"] = \"[45°N, 67°N]\"\n",
    "ohc.attrs[\"longitude_range\"] = \"[-100°E, 20°E]\"\n",
    "ohc.attrs[\"depth_range\"] = \"[0, 1056 m]\"\n",
    "ohc.attrs[\"time_range_start\"] = \"Start of 1993\"\n",
    "ohc.attrs[\"time_range_end\"] = \"End of 2016\"\n",
    "ohc.attrs[\"time_frequency\"] = \"monthly\"\n",
    "ohc.attrs[\"prepared_by\"] = \"Dan Jones, BAS\"\n",
    "ohc.attrs[\"prepared_date\"] = \"2 October 2020\"\n",
    "ohc.attrs[\"email_contact\"] = \"[EMAIL]\"\n",
    "ohc.attrs[\"conda_environment_url\"] = \"https://anaconda.org/dannes/eccov4\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb8f3e3a3d0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ohc.plot(size=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
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       "\n",
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       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "  z-index: 1;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
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       "\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
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       ".xr-var-data,\n",
       ".xr-attrs {\n",
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       "\n",
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       "\n",
       ".xr-attrs dt, dd {\n",
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       "  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",
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       "\n",
       ".xr-attrs dd {\n",
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
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       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 288)&gt;\n",
       "array([-8.86446300e+21, -8.67653080e+21, -7.93113922e+21, -8.54717282e+21,\n",
       "       -8.44979518e+21, -8.35541381e+21, -8.41641845e+21, -8.22836062e+21,\n",
       "       -8.04796072e+21, -7.98620446e+21, -7.71911977e+21, -8.22425678e+21,\n",
       "       -8.71894467e+21, -9.67164680e+21, -9.85842204e+21, -1.04969430e+22,\n",
       "       -1.02807580e+22, -9.89648941e+21, -9.85770478e+21, -9.79945751e+21,\n",
       "       -9.65927193e+21, -8.79089611e+21, -8.07138333e+21, -8.28701699e+21,\n",
       "       -8.61317681e+21, -8.98221275e+21, -9.98602552e+21, -9.57016317e+21,\n",
       "       -8.97242720e+21, -8.62651322e+21, -8.37066738e+21, -8.17243693e+21,\n",
       "       -7.91455206e+21, -7.85543183e+21, -7.04641354e+21, -6.17750676e+21,\n",
       "       -5.25423052e+21, -4.72453328e+21, -3.80223415e+21, -2.83803332e+21,\n",
       "       -2.29970239e+21, -2.37218989e+21, -2.29270106e+21, -2.08093273e+21,\n",
       "       -1.76552160e+21, -2.16255335e+21, -2.30545496e+21, -1.72230524e+21,\n",
       "       -5.43036136e+20, -7.46067025e+20, -2.12090934e+21, -1.79886867e+21,\n",
       "       -1.52318613e+21, -1.33466068e+21, -1.21043251e+21, -1.08756008e+21,\n",
       "       -1.06869309e+21, -5.93325640e+20, -2.51054327e+20,  3.21085212e+20,\n",
       "        1.83565493e+20,  8.57548740e+20,  9.70517654e+20,  7.81203951e+20,\n",
       "        9.62786042e+20,  1.18541017e+21,  1.23291519e+21,  1.21227130e+21,\n",
       "        9.94851529e+20,  1.00707501e+21,  4.77726595e+20,  2.97160365e+20,\n",
       "       -1.06049641e+21, -6.81041690e+20, -3.27882266e+20, -4.49805717e+19,\n",
       "       -3.05799994e+19,  1.57688518e+19,  1.55982542e+20,  1.03276440e+20,\n",
       "...\n",
       "        5.99570348e+21,  6.05779421e+21,  5.91409588e+21,  6.11019388e+21,\n",
       "        6.24912265e+21,  6.15732471e+21,  6.12677890e+21,  6.82510676e+21,\n",
       "        8.38590110e+21,  7.91875093e+21,  7.41703056e+21,  7.06498015e+21,\n",
       "        6.49369957e+21,  5.95420873e+21,  5.63825858e+21,  5.44157592e+21,\n",
       "        5.14911603e+21,  5.11341787e+21,  4.77608846e+21,  3.38621127e+21,\n",
       "        3.11272091e+21,  3.70789573e+21,  3.79329471e+21,  4.08037865e+21,\n",
       "        4.10263678e+21,  4.19353601e+21,  4.29646839e+21,  4.24115485e+21,\n",
       "        3.94120426e+21,  3.63663739e+21,  3.20630341e+21,  2.83014159e+21,\n",
       "        3.22837418e+21,  3.13499649e+21,  4.14500986e+21,  3.97803361e+21,\n",
       "        3.58665954e+21,  3.39836066e+21,  3.45552077e+21,  3.37796816e+21,\n",
       "        3.21078494e+21,  3.43410875e+21,  2.48168767e+21,  1.87625955e+21,\n",
       "        3.09025313e+20, -6.91845546e+20, -1.41869024e+21, -1.61859037e+21,\n",
       "       -1.76939741e+21, -1.77062805e+21, -1.68471434e+21, -1.77535251e+21,\n",
       "       -1.83491915e+21, -2.31857233e+21, -2.69276786e+21, -3.40605268e+21,\n",
       "       -4.04826652e+21, -4.42023753e+21, -5.75287086e+21, -6.28400638e+21,\n",
       "       -6.65571271e+21, -7.04137876e+21, -7.37352791e+21, -7.79030993e+21,\n",
       "       -7.58332418e+21, -7.20381819e+21, -7.52229001e+21, -8.15175773e+21,\n",
       "       -8.59360249e+21, -8.66991279e+21, -8.52549988e+21, -8.65750516e+21,\n",
       "       -8.33799235e+21, -7.95107270e+21, -7.95631310e+21, -7.90903303e+21,\n",
       "       -7.98810767e+21, -8.21947487e+21, -7.59331803e+21, -6.87815014e+21])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1993-01-16T12:00:00 ... 2016-12-16T12:00:00\n",
       "    month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 ... 2 3 4 5 6 7 8 9 10 11 12\n",
       "Attributes:\n",
       "    units:                     J\n",
       "    units_long_name:           Joules\n",
       "    long_name:                 Subpolar ocean heat content (SOHC)\n",
       "    source:                    ECCOv4 release 4\n",
       "    source_url:                https://ecco-group.org/products-ECCO-V4r4.htm\n",
       "    source_description_paper:  doi:10.5194/gmd-8-3071-2015\n",
       "    latitude_range:            [45°N, 67°N]\n",
       "    longitude_range:           [-100°E, 20°E]\n",
       "    depth_range:               [0, 1056 m]\n",
       "    time_range_start:          Start of 1993\n",
       "    time_range_end:            End of 2016\n",
       "    time_frequency:            monthly\n",
       "    prepared_by:               Dan Jones, BAS\n",
       "    prepared_date:             2 October 2020\n",
       "    email_contact:             [EMAIL] \n",
       "    conda_environment_url:     https://anaconda.org/dannes/eccov4</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 288</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1e100de9-647f-462e-9812-28f0a00b9074' class='xr-array-in' type='checkbox' checked><label for='section-1e100de9-647f-462e-9812-28f0a00b9074' 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>-8.864e+21 -8.677e+21 -7.931e+21 ... -8.219e+21 -7.593e+21 -6.878e+21</span></div><div class='xr-array-data'><pre>array([-8.86446300e+21, -8.67653080e+21, -7.93113922e+21, -8.54717282e+21,\n",
       "       -8.44979518e+21, -8.35541381e+21, -8.41641845e+21, -8.22836062e+21,\n",
       "       -8.04796072e+21, -7.98620446e+21, -7.71911977e+21, -8.22425678e+21,\n",
       "       -8.71894467e+21, -9.67164680e+21, -9.85842204e+21, -1.04969430e+22,\n",
       "       -1.02807580e+22, -9.89648941e+21, -9.85770478e+21, -9.79945751e+21,\n",
       "       -9.65927193e+21, -8.79089611e+21, -8.07138333e+21, -8.28701699e+21,\n",
       "       -8.61317681e+21, -8.98221275e+21, -9.98602552e+21, -9.57016317e+21,\n",
       "       -8.97242720e+21, -8.62651322e+21, -8.37066738e+21, -8.17243693e+21,\n",
       "       -7.91455206e+21, -7.85543183e+21, -7.04641354e+21, -6.17750676e+21,\n",
       "       -5.25423052e+21, -4.72453328e+21, -3.80223415e+21, -2.83803332e+21,\n",
       "       -2.29970239e+21, -2.37218989e+21, -2.29270106e+21, -2.08093273e+21,\n",
       "       -1.76552160e+21, -2.16255335e+21, -2.30545496e+21, -1.72230524e+21,\n",
       "       -5.43036136e+20, -7.46067025e+20, -2.12090934e+21, -1.79886867e+21,\n",
       "       -1.52318613e+21, -1.33466068e+21, -1.21043251e+21, -1.08756008e+21,\n",
       "       -1.06869309e+21, -5.93325640e+20, -2.51054327e+20,  3.21085212e+20,\n",
       "        1.83565493e+20,  8.57548740e+20,  9.70517654e+20,  7.81203951e+20,\n",
       "        9.62786042e+20,  1.18541017e+21,  1.23291519e+21,  1.21227130e+21,\n",
       "        9.94851529e+20,  1.00707501e+21,  4.77726595e+20,  2.97160365e+20,\n",
       "       -1.06049641e+21, -6.81041690e+20, -3.27882266e+20, -4.49805717e+19,\n",
       "       -3.05799994e+19,  1.57688518e+19,  1.55982542e+20,  1.03276440e+20,\n",
       "...\n",
       "        5.99570348e+21,  6.05779421e+21,  5.91409588e+21,  6.11019388e+21,\n",
       "        6.24912265e+21,  6.15732471e+21,  6.12677890e+21,  6.82510676e+21,\n",
       "        8.38590110e+21,  7.91875093e+21,  7.41703056e+21,  7.06498015e+21,\n",
       "        6.49369957e+21,  5.95420873e+21,  5.63825858e+21,  5.44157592e+21,\n",
       "        5.14911603e+21,  5.11341787e+21,  4.77608846e+21,  3.38621127e+21,\n",
       "        3.11272091e+21,  3.70789573e+21,  3.79329471e+21,  4.08037865e+21,\n",
       "        4.10263678e+21,  4.19353601e+21,  4.29646839e+21,  4.24115485e+21,\n",
       "        3.94120426e+21,  3.63663739e+21,  3.20630341e+21,  2.83014159e+21,\n",
       "        3.22837418e+21,  3.13499649e+21,  4.14500986e+21,  3.97803361e+21,\n",
       "        3.58665954e+21,  3.39836066e+21,  3.45552077e+21,  3.37796816e+21,\n",
       "        3.21078494e+21,  3.43410875e+21,  2.48168767e+21,  1.87625955e+21,\n",
       "        3.09025313e+20, -6.91845546e+20, -1.41869024e+21, -1.61859037e+21,\n",
       "       -1.76939741e+21, -1.77062805e+21, -1.68471434e+21, -1.77535251e+21,\n",
       "       -1.83491915e+21, -2.31857233e+21, -2.69276786e+21, -3.40605268e+21,\n",
       "       -4.04826652e+21, -4.42023753e+21, -5.75287086e+21, -6.28400638e+21,\n",
       "       -6.65571271e+21, -7.04137876e+21, -7.37352791e+21, -7.79030993e+21,\n",
       "       -7.58332418e+21, -7.20381819e+21, -7.52229001e+21, -8.15175773e+21,\n",
       "       -8.59360249e+21, -8.66991279e+21, -8.52549988e+21, -8.65750516e+21,\n",
       "       -8.33799235e+21, -7.95107270e+21, -7.95631310e+21, -7.90903303e+21,\n",
       "       -7.98810767e+21, -8.21947487e+21, -7.59331803e+21, -6.87815014e+21])</pre></div></div></li><li class='xr-section-item'><input id='section-72078fcc-3e37-42d3-afff-8c7b767a1b67' class='xr-section-summary-in' type='checkbox'  checked><label for='section-72078fcc-3e37-42d3-afff-8c7b767a1b67' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1993-01-16T12:00:00 ... 2016-12-...</div><input id='attrs-435c479b-6052-4581-8b4c-99aa31705f91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435c479b-6052-4581-8b4c-99aa31705f91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14fe72bc-3171-45fb-b874-8d2c131ca641' class='xr-var-data-in' type='checkbox'><label for='data-14fe72bc-3171-45fb-b874-8d2c131ca641' 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>center time of averaging period</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1993-01-16T12:00:00.000000000&#x27;, &#x27;1993-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-03-16T12:00:00.000000000&#x27;, ..., &#x27;2016-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-11-16T00:00:00.000000000&#x27;, &#x27;2016-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 6 7 8 9 10 11 12</div><input id='attrs-b15cc033-7756-4251-ae33-5aa587a8c9e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b15cc033-7756-4251-ae33-5aa587a8c9e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ced78ce5-9f57-48b4-9899-f286dbb7ecb8' class='xr-var-data-in' type='checkbox'><label for='data-ced78ce5-9f57-48b4-9899-f286dbb7ecb8' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,\n",
       "        6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,\n",
       "        4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,\n",
       "        9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,\n",
       "        2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,\n",
       "        7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,\n",
       "       12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,\n",
       "        5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9,\n",
       "       10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,\n",
       "        3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,\n",
       "        8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,\n",
       "        1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,\n",
       "        6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,\n",
       "        4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,\n",
       "        9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1062838-961d-47e3-882c-b61f852b2f24' class='xr-section-summary-in' type='checkbox'  ><label for='section-e1062838-961d-47e3-882c-b61f852b2f24' class='xr-section-summary' >Attributes: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>J</dd><dt><span>units_long_name :</span></dt><dd>Joules</dd><dt><span>long_name :</span></dt><dd>Subpolar ocean heat content (SOHC)</dd><dt><span>source :</span></dt><dd>ECCOv4 release 4</dd><dt><span>source_url :</span></dt><dd>https://ecco-group.org/products-ECCO-V4r4.htm</dd><dt><span>source_description_paper :</span></dt><dd>doi:10.5194/gmd-8-3071-2015</dd><dt><span>latitude_range :</span></dt><dd>[45°N, 67°N]</dd><dt><span>longitude_range :</span></dt><dd>[-100°E, 20°E]</dd><dt><span>depth_range :</span></dt><dd>[0, 1056 m]</dd><dt><span>time_range_start :</span></dt><dd>Start of 1993</dd><dt><span>time_range_end :</span></dt><dd>End of 2016</dd><dt><span>time_frequency :</span></dt><dd>monthly</dd><dt><span>prepared_by :</span></dt><dd>Dan Jones, BAS</dd><dt><span>prepared_date :</span></dt><dd>2 October 2020</dd><dt><span>email_contact :</span></dt><dd>bas.ac.uk</dd><dt><span>conda_environment_url :</span></dt><dd>https://anaconda.org/dannes/eccov4</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (time: 288)>\n",
       "array([-8.86446300e+21, -8.67653080e+21, -7.93113922e+21, -8.54717282e+21,\n",
       "       -8.44979518e+21, -8.35541381e+21, -8.41641845e+21, -8.22836062e+21,\n",
       "       -8.04796072e+21, -7.98620446e+21, -7.71911977e+21, -8.22425678e+21,\n",
       "       -8.71894467e+21, -9.67164680e+21, -9.85842204e+21, -1.04969430e+22,\n",
       "       -1.02807580e+22, -9.89648941e+21, -9.85770478e+21, -9.79945751e+21,\n",
       "       -9.65927193e+21, -8.79089611e+21, -8.07138333e+21, -8.28701699e+21,\n",
       "       -8.61317681e+21, -8.98221275e+21, -9.98602552e+21, -9.57016317e+21,\n",
       "       -8.97242720e+21, -8.62651322e+21, -8.37066738e+21, -8.17243693e+21,\n",
       "       -7.91455206e+21, -7.85543183e+21, -7.04641354e+21, -6.17750676e+21,\n",
       "       -5.25423052e+21, -4.72453328e+21, -3.80223415e+21, -2.83803332e+21,\n",
       "       -2.29970239e+21, -2.37218989e+21, -2.29270106e+21, -2.08093273e+21,\n",
       "       -1.76552160e+21, -2.16255335e+21, -2.30545496e+21, -1.72230524e+21,\n",
       "       -5.43036136e+20, -7.46067025e+20, -2.12090934e+21, -1.79886867e+21,\n",
       "       -1.52318613e+21, -1.33466068e+21, -1.21043251e+21, -1.08756008e+21,\n",
       "       -1.06869309e+21, -5.93325640e+20, -2.51054327e+20,  3.21085212e+20,\n",
       "        1.83565493e+20,  8.57548740e+20,  9.70517654e+20,  7.81203951e+20,\n",
       "        9.62786042e+20,  1.18541017e+21,  1.23291519e+21,  1.21227130e+21,\n",
       "        9.94851529e+20,  1.00707501e+21,  4.77726595e+20,  2.97160365e+20,\n",
       "       -1.06049641e+21, -6.81041690e+20, -3.27882266e+20, -4.49805717e+19,\n",
       "       -3.05799994e+19,  1.57688518e+19,  1.55982542e+20,  1.03276440e+20,\n",
       "...\n",
       "        5.99570348e+21,  6.05779421e+21,  5.91409588e+21,  6.11019388e+21,\n",
       "        6.24912265e+21,  6.15732471e+21,  6.12677890e+21,  6.82510676e+21,\n",
       "        8.38590110e+21,  7.91875093e+21,  7.41703056e+21,  7.06498015e+21,\n",
       "        6.49369957e+21,  5.95420873e+21,  5.63825858e+21,  5.44157592e+21,\n",
       "        5.14911603e+21,  5.11341787e+21,  4.77608846e+21,  3.38621127e+21,\n",
       "        3.11272091e+21,  3.70789573e+21,  3.79329471e+21,  4.08037865e+21,\n",
       "        4.10263678e+21,  4.19353601e+21,  4.29646839e+21,  4.24115485e+21,\n",
       "        3.94120426e+21,  3.63663739e+21,  3.20630341e+21,  2.83014159e+21,\n",
       "        3.22837418e+21,  3.13499649e+21,  4.14500986e+21,  3.97803361e+21,\n",
       "        3.58665954e+21,  3.39836066e+21,  3.45552077e+21,  3.37796816e+21,\n",
       "        3.21078494e+21,  3.43410875e+21,  2.48168767e+21,  1.87625955e+21,\n",
       "        3.09025313e+20, -6.91845546e+20, -1.41869024e+21, -1.61859037e+21,\n",
       "       -1.76939741e+21, -1.77062805e+21, -1.68471434e+21, -1.77535251e+21,\n",
       "       -1.83491915e+21, -2.31857233e+21, -2.69276786e+21, -3.40605268e+21,\n",
       "       -4.04826652e+21, -4.42023753e+21, -5.75287086e+21, -6.28400638e+21,\n",
       "       -6.65571271e+21, -7.04137876e+21, -7.37352791e+21, -7.79030993e+21,\n",
       "       -7.58332418e+21, -7.20381819e+21, -7.52229001e+21, -8.15175773e+21,\n",
       "       -8.59360249e+21, -8.66991279e+21, -8.52549988e+21, -8.65750516e+21,\n",
       "       -8.33799235e+21, -7.95107270e+21, -7.95631310e+21, -7.90903303e+21,\n",
       "       -7.98810767e+21, -8.21947487e+21, -7.59331803e+21, -6.87815014e+21])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1993-01-16T12:00:00 ... 2016-12-16T12:00:00\n",
       "    month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 ... 2 3 4 5 6 7 8 9 10 11 12\n",
       "Attributes:\n",
       "    units:                     J\n",
       "    units_long_name:           Joules\n",
       "    long_name:                 Subpolar ocean heat content (SOHC)\n",
       "    source:                    ECCOv4 release 4\n",
       "    source_url:                https://ecco-group.org/products-ECCO-V4r4.htm\n",
       "    source_description_paper:  doi:10.5194/gmd-8-3071-2015\n",
       "    latitude_range:            [45°N, 67°N]\n",
       "    longitude_range:           [-100°E, 20°E]\n",
       "    depth_range:               [0, 1056 m]\n",
       "    time_range_start:          Start of 1993\n",
       "    time_range_end:            End of 2016\n",
       "    time_frequency:            monthly\n",
       "    prepared_by:               Dan Jones, BAS\n",
       "    prepared_date:             2 October 2020\n",
       "    email_contact:             [EMAIL]\n",
       "    conda_environment_url:     https://anaconda.org/dannes/eccov4"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ohc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Save as NetCDF file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ohc.to_netcdf(\"ACSIS_SOHC_ECCOv4r4_1993_to_2016.nc\")"
   ]
  }
 ],
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  "kernelspec": {
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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