Table4_global-ocn-bgc-metrics_x01.ipynb

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   "source": [
    "# Global BGC metrics"
   ]
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   "execution_count": 1,
   "id": "e13795c3-000f-465c-b07b-e3bb31415aef",
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   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e8199a6d-1b51-453e-a34c-45ed5f88c59f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "\n",
    "from dask.distributed import Client\n",
    "\n",
    "#import catalog\n",
    "#import util\n",
    "import utils\n",
    "xr.set_options(keep_attrs=True)\n",
    "from glob import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "import pop_tools\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0850149e-56d4-4f28-88bd-2639e11ad20a",
   "metadata": {
    "tags": []
   },
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     "name": "stderr",
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     "text": [
      "/glade/work/kristenk/miniconda/envs/analysis5/lib/python3.7/site-packages/numba/np/ufunc/parallel.py:365: NumbaWarning: The TBB threading layer requires TBB version 2019.5 or later i.e., TBB_INTERFACE_VERSION >= 11005. Found TBB_INTERFACE_VERSION = 6103. The TBB threading layer is disabled.\n",
      "  warnings.warn(problem)\n"
     ]
    }
   ],
   "source": [
    "ds_grid = pop_tools.get_grid('POP_tx0.1v3')\n",
    "lons=ds_grid.TLONG\n",
    "lats=ds_grid.TLAT\n",
    "area=ds_grid.TAREA\n",
    "area_m=ds_grid.TAREA * 1e-4\n",
    "lons_norm = utils.normal_lons(lons)"
   ]
  },
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   "cell_type": "markdown",
   "id": "8e5fd23a-c09c-4fff-8d7b-d2881051ec05",
   "metadata": {},
   "source": [
    "### Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7aba216b-6257-44cb-b711-41178010c5e9",
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "case = 'g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b29c2ce8-1aea-4c88-a488-aef634305748",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/glade/campaign/cgd/oce/projects/FOSI_BGC/HR/' + case + '/ocn/proc/tseries/month_1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "54d88bcd-27b7-4fa0-a449-26e95337597d",
   "metadata": {},
   "outputs": [],
   "source": [
    "variables =['photoC_sp_zint','photoC_diat_zint',\n",
    "            'photoC_diaz_zint','photoC_cocco_zint',\n",
    "            'SiO2_PROD','CaCO3_PROD_zint','diaz_Nfix',\n",
    "            'mesozooC','microzooC','x_graze_microzoo_zint','x_graze_mesozoo_zint',\n",
    "            'POC_FLUX_100m']\n",
    "coords = {'x':'TLONG','y':'TLAT'}\n",
    "keepthese=['z_t','z_t_150m','time_bound','time','dz','TAREA','REGION_MASK'] + variables + list(coords.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "65c9a4b0-87b0-4ef0-bdd5-40f1910e40de",
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   "source": [
    "def preprocess(ds):\n",
    "    ds=ds.mean(dim='time')\n",
    "    ds=ds.isel(z_t=slice(0,10))\n",
    "    return ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4eee5ccb-e2dd-40e6-bb28-a41ee65c6897",
   "metadata": {},
   "source": [
    "### Select 1986 to 2005"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "664ee26d-a816-4e77-b93c-648434b411e0",
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting on  photoC_sp_zint\n",
      "starting on  photoC_diat_zint\n",
      "starting on  photoC_diaz_zint\n",
      "starting on  photoC_cocco_zint\n",
      "starting on  SiO2_PROD\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/glade/work/kristenk/miniconda/envs/analysis5/lib/python3.7/site-packages/numpy/core/_methods.py:178: RuntimeWarning: invalid value encountered in reduce\n",
      "  ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting on  CaCO3_PROD_zint\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/glade/work/kristenk/miniconda/envs/analysis5/lib/python3.7/site-packages/numpy/core/_methods.py:178: RuntimeWarning: invalid value encountered in reduce\n",
      "  ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting on  diaz_Nfix\n",
      "starting on  mesozooC\n",
      "starting on  microzooC\n",
      "starting on  x_graze_microzoo_zint\n",
      "starting on  x_graze_mesozoo_zint\n",
      "starting on  POC_FLUX_100m\n"
     ]
    }
   ],
   "source": [
    "ds_fosi_x01 = xr.Dataset()\n",
    "\n",
    "for var in variables:\n",
    "    \n",
    "    ds_var = xr.Dataset()\n",
    "    print('starting on ', var)\n",
    "    \n",
    "    for yr in np.arange(1986,2006,1):\n",
    "    \n",
    "        \n",
    "\n",
    "        files = sorted(glob(f'{path}/{case}.pop.h.{var}.{yr}??-{yr}??.nc'))       \n",
    "        ds_tmp = xr.open_mfdataset(files, data_vars=\"minimal\", coords='minimal', compat=\"override\", parallel=True, concat_dim=\"time\",combine='nested',\n",
    "                           drop_variables=[\"transport_components\", \"transport_regions\"], decode_times=True, preprocess=preprocess)\n",
    "                                  #chunks={\"nlat\": 1200, \"nlon\": 1200, \"time\": 1, \"z_t\": 1, \"z_t_150m\": 1})\n",
    "\n",
    "        keep_vars=['z_t','z_t_150m','time_bound','dz','TLAT','TLONG','time'] + [var]\n",
    "\n",
    "        ds_tmp = ds_tmp.drop([v for v in ds_tmp.variables if v not in keep_vars])\n",
    "        \n",
    "        ds_var = xr.concat([ds_var,ds_tmp],dim='time')\n",
    "        \n",
    "    ds_var = ds_var.mean(dim='time')\n",
    "    ds_fosi_x01 = xr.merge([ds_fosi_x01,ds_var])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e3c8a62-c12c-48f7-a7fa-1562fcca490c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "39389517-308b-40ad-b808-42eea55b46c6",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    dz                     (z_t) float32 dask.array&lt;chunksize=(10,), meta=np.ndarray&gt;\n",
       "    photoC_diat_zint       (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 dask.array&lt;chunksize=(10, 2400, 3600), meta=np.ndarray&gt;\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 dask.array&lt;chunksize=(15, 2400, 3600), meta=np.ndarray&gt;\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 dask.array&lt;chunksize=(15, 2400, 3600), meta=np.ndarray&gt;\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 dask.array&lt;chunksize=(15, 2400, 3600), meta=np.ndarray&gt;\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</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-f0bc5e45-17f6-42b9-bb79-c7f559712ebb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0bc5e45-17f6-42b9-bb79-c7f559712ebb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li><li><span class='xr-has-index'>z_t</span>: 10</li><li><span class='xr-has-index'>z_t_150m</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90cc276d-85e7-441f-a236-fd66d6fd0ca4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90cc276d-85e7-441f-a236-fd66d6fd0ca4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5c01a232-1ff2-4e37-84a2-5622aece89d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c01a232-1ff2-4e37-84a2-5622aece89d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee5a17b2-8a5c-4cbe-82e5-c1c27e19f012' class='xr-var-data-in' type='checkbox'><label for='data-ee5a17b2-8a5c-4cbe-82e5-c1c27e19f012' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6864085a-e7f2-48c8-846c-f3e85f4b00af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6864085a-e7f2-48c8-846c-f3e85f4b00af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0da2416-4028-4571-bde6-5d13776f425c' class='xr-var-data-in' type='checkbox'><label for='data-e0da2416-4028-4571-bde6-5d13776f425c' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 8.5e+03 9.5e+03</div><input id='attrs-0af6c3ce-7391-4964-92a3-b9c3280c07cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0af6c3ce-7391-4964-92a3-b9c3280c07cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84305ab7-3e34-461d-9bc9-55cfb2fc6691' class='xr-var-data-in' type='checkbox'><label for='data-84305ab7-3e34-461d-9bc9-55cfb2fc6691' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>587499.06</dd></dl></div><div class='xr-var-data'><pre>array([ 500., 1500., 2500., 3500., 4500., 5500., 6500., 7500., 8500., 9500.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t_150m</span></div><div class='xr-var-dims'>(z_t_150m)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 1.35e+04 1.45e+04</div><input id='attrs-0f15feea-73aa-4dbc-89f4-bc911498a2bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f15feea-73aa-4dbc-89f4-bc911498a2bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01874b50-aba7-428b-ad6c-5623cf750bce' class='xr-var-data-in' type='checkbox'><label for='data-01874b50-aba7-428b-ad6c-5623cf750bce' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>14500.0</dd></dl></div><div class='xr-var-data'><pre>array([  500.,  1500.,  2500.,  3500.,  4500.,  5500.,  6500.,  7500.,  8500.,\n",
       "        9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e11a2c8-148c-41b9-90a6-2df43683e3c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e11a2c8-148c-41b9-90a6-2df43683e3c6' class='xr-section-summary' >Data variables: <span>(13)</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>photoC_sp_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-ed258c83-8f3a-4c50-9959-439fa9cd926d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed258c83-8f3a-4c50-9959-439fa9cd926d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd359c2e-eda2-481d-88d1-39fd4c0ef4c0' class='xr-var-data-in' type='checkbox'><label for='data-bd359c2e-eda2-481d-88d1-39fd4c0ef4c0' 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>Small Phyto C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.96 MiB </td> <td> 32.96 MiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2400, 3600) </td> <td> (2400, 3600) </td></tr>\n",
       "    <tr><th> Count </th><td> 337 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "  <text x=\"60.000000\" y=\"100.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(10,), meta=np.ndarray&gt;</div><input id='attrs-a21918b0-63f9-4779-9b4c-742b4981ac38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a21918b0-63f9-4779-9b4c-742b4981ac38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f4376e-94d5-4621-b7a4-f11e480ba4f5' class='xr-var-data-in' type='checkbox'><label for='data-44f4376e-94d5-4621-b7a4-f11e480ba4f5' 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>thickness of layer k</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 40 B </td> <td> 40 B </td></tr>\n",
       "    <tr><th> Shape </th><td> (10,) </td> <td> (10,) </td></tr>\n",
       "    <tr><th> Count </th><td> 360 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"88\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"38\" x2=\"120\" y2=\"38\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"38\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,38.596863036086 0.0,38.596863036086\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"58.596863\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diat_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-20c15ab2-80c6-40f3-9fd5-73b6eb1a7c42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20c15ab2-80c6-40f3-9fd5-73b6eb1a7c42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ea6e282-4a61-43b7-9c19-b654b635df01' class='xr-var-data-in' type='checkbox'><label for='data-6ea6e282-4a61-43b7-9c19-b654b635df01' 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>Diatom C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.96 MiB </td> <td> 32.96 MiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2400, 3600) </td> <td> (2400, 3600) </td></tr>\n",
       "    <tr><th> Count </th><td> 337 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"100.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3600</text>\n",
       "  <text x=\"140.000000\" y=\"40.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,40.000000)\">2400</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diaz_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-55648562-c59e-4010-9f89-89ef92abcbc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55648562-c59e-4010-9f89-89ef92abcbc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21d8e6f2-27b8-4f49-a6cf-82a3ddf48c96' class='xr-var-data-in' type='checkbox'><label for='data-21d8e6f2-27b8-4f49-a6cf-82a3ddf48c96' 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>Diazotroph C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 32.96 MiB </td> <td> 32.96 MiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2400, 3600) </td> <td> (2400, 3600) </td></tr>\n",
       "    <tr><th> Count </th><td> 337 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>microzooC</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(15, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-9695fcc7-4d7c-4ec7-ae99-e462cc72b948' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9695fcc7-4d7c-4ec7-ae99-e462cc72b948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-514e2a79-b365-4393-bd70-5e1d346d8846' class='xr-var-data-in' type='checkbox'><label for='data-514e2a79-b365-4393-bd70-5e1d346d8846' 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>Microzooplankton Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
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       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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       "  <tbody>\n",
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       "    <tr><th> Count </th><td> 337 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_microzoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cc9cf438-b369-4fc7-ad08-ebffc2a36457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc9cf438-b369-4fc7-ad08-ebffc2a36457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e52190-14d5-4738-9924-d78635395f02' class='xr-var-data-in' type='checkbox'><label for='data-f5e52190-14d5-4738-9924-d78635395f02' 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>Microzooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Count </th><td> 337 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_mesozoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-688fea2e-1e14-4823-a4a6-bfc1c158886b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-688fea2e-1e14-4823-a4a6-bfc1c158886b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aa9c874-2cdd-49f4-970e-c14788f82348' class='xr-var-data-in' type='checkbox'><label for='data-6aa9c874-2cdd-49f4-970e-c14788f82348' 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>Mesozooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POC_FLUX_100m</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-cb6b4ad1-c9e3-49c1-928c-c6c948c7196e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb6b4ad1-c9e3-49c1-928c-c6c948c7196e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e2ad80-e64e-4072-b314-0ee9a3770636' class='xr-var-data-in' type='checkbox'><label for='data-f5e2ad80-e64e-4072-b314-0ee9a3770636' 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>POC Flux at 100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><table>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    dz                     (z_t) float32 dask.array<chunksize=(10,), meta=np.ndarray>\n",
       "    photoC_diat_zint       (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 dask.array<chunksize=(10, 2400, 3600), meta=np.ndarray>\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 dask.array<chunksize=(15, 2400, 3600), meta=np.ndarray>\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 dask.array<chunksize=(15, 2400, 3600), meta=np.ndarray>\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 dask.array<chunksize=(15, 2400, 3600), meta=np.ndarray>\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_fosi_x01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e140f854-4d97-446a-837b-aacb412ba3e1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "0bc82532-c3b7-4378-b6b9-416ccd553c1b",
   "metadata": {},
   "source": [
    "### Connect to cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c5218fd3-7923-4f6c-9673-920f1cf0f2b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_ClusterClient():\n",
    "    import dask\n",
    "    from dask_jobqueue import PBSCluster\n",
    "    from dask.distributed import Client\n",
    "    cluster = PBSCluster(\n",
    "        cores=1,\n",
    "        memory='256GB',\n",
    "        processes=1,\n",
    "        queue='casper',\n",
    "        resource_spec='select=1:ncpus=1:mem=256GB',\n",
    "        project='NCGD0011',\n",
    "        walltime='03:00:00',\n",
    "        interface='ib0',)\n",
    "\n",
    "    dask.config.set({\n",
    "        'distributed.dashboard.link':\n",
    "        'https://jupyterhub.hpc.ucar.edu/stable/user/{USER}/proxy/{port}/status'\n",
    "    })\n",
    "    client = Client(cluster)\n",
    "    return cluster, client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "849cec20-4e7a-46c5-bd76-40e55926a11f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Client</h3>\n",
       "<ul style=\"text-align: left; list-style: none; margin: 0; padding: 0;\">\n",
       "  <li><b>Scheduler: </b>tcp://10.12.205.11:39961</li>\n",
       "  <li><b>Dashboard: </b><a href='https://jupyterhub.hpc.ucar.edu/stable/user/kristenk/proxy/8787/status' target='_blank'>https://jupyterhub.hpc.ucar.edu/stable/user/kristenk/proxy/8787/status</a></li>\n",
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       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
       "<ul style=\"text-align: left; list-style:none; margin: 0; padding: 0;\">\n",
       "  <li><b>Workers: </b>0</li>\n",
       "  <li><b>Cores: </b>0</li>\n",
       "  <li><b>Memory: </b>0 B</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: 'tcp://10.12.205.11:39961' processes=0 threads=0, memory=0 B>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster, client = get_ClusterClient()\n",
    "cluster.scale(5) \n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "976ffa95-263e-4d11-bda3-0637f9d28212",
   "metadata": {},
   "source": [
    "### Load the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bb2b55f2-297d-4003-8515-64d9087124e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_fosi_x01 = ds_fosi_x01.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a63a74ea-ac56-4034-aeaa-f648909fe59a",
   "metadata": {},
   "outputs": [],
   "source": [
    "keep_vars=['z_t','z_t_150m','dz','time_bound','TAREA','TLAT','TLONG'] + variables\n",
    "ds_fosi_x01 = ds_fosi_x01.drop([v for v in ds_fosi_x01.variables if v not in keep_vars])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6bf34b25-cff6-4bc6-b8db-0c93152863be",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    dz                     (z_t) float32 1e+03 1e+03 1e+03 ... 1e+03 1e+03 1e+03\n",
       "    photoC_diat_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 nan nan nan ... nan nan nan\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 nan nan nan nan ... nan nan nan</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-ed382554-69d4-400a-84fa-70e6273b7fd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed382554-69d4-400a-84fa-70e6273b7fd9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li><li><span class='xr-has-index'>z_t</span>: 10</li><li><span class='xr-has-index'>z_t_150m</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5423eb4d-4d0b-40df-b104-4b92c1853e59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5423eb4d-4d0b-40df-b104-4b92c1853e59' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1798a3a6-7365-4c74-954a-8d141e3c7c82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1798a3a6-7365-4c74-954a-8d141e3c7c82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2248ae2d-74a1-4146-8bde-199e3c548652' class='xr-var-data-in' type='checkbox'><label for='data-2248ae2d-74a1-4146-8bde-199e3c548652' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-942cb74b-e5c2-4f27-a577-60a8e60b5b01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-942cb74b-e5c2-4f27-a577-60a8e60b5b01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c1396e9-1db3-4b6b-bbe3-08eb70b11766' class='xr-var-data-in' type='checkbox'><label for='data-4c1396e9-1db3-4b6b-bbe3-08eb70b11766' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 8.5e+03 9.5e+03</div><input id='attrs-4af34d96-0cf9-46b7-8199-ddbef04877d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4af34d96-0cf9-46b7-8199-ddbef04877d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8441aad7-97fc-47df-bf7b-8816a8f27946' class='xr-var-data-in' type='checkbox'><label for='data-8441aad7-97fc-47df-bf7b-8816a8f27946' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>587499.06</dd></dl></div><div class='xr-var-data'><pre>array([ 500., 1500., 2500., 3500., 4500., 5500., 6500., 7500., 8500., 9500.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t_150m</span></div><div class='xr-var-dims'>(z_t_150m)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 1.35e+04 1.45e+04</div><input id='attrs-9906282e-4826-4617-a215-b8fce0199b4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9906282e-4826-4617-a215-b8fce0199b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dc75d46-589b-4722-bd2f-5d517fc7c8a4' class='xr-var-data-in' type='checkbox'><label for='data-3dc75d46-589b-4722-bd2f-5d517fc7c8a4' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>14500.0</dd></dl></div><div class='xr-var-data'><pre>array([  500.,  1500.,  2500.,  3500.,  4500.,  5500.,  6500.,  7500.,  8500.,\n",
       "        9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d669f67-cf65-44ed-999c-b09d13b6ae70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d669f67-cf65-44ed-999c-b09d13b6ae70' class='xr-section-summary' >Data variables: <span>(13)</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>photoC_sp_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-135de1a2-4087-4f7a-9dc0-1d960559162b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-135de1a2-4087-4f7a-9dc0-1d960559162b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb97648-4874-4e65-adea-e8c4516f200c' class='xr-var-data-in' type='checkbox'><label for='data-6cb97648-4874-4e65-adea-e8c4516f200c' 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>Small Phyto C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 1e+03 1e+03 ... 1e+03 1e+03</div><input id='attrs-5a0cee19-a486-428a-9ebe-35924608c8b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a0cee19-a486-428a-9ebe-35924608c8b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e24f5e4d-ba61-49e9-95ec-b75159285aad' class='xr-var-data-in' type='checkbox'><label for='data-e24f5e4d-ba61-49e9-95ec-b75159285aad' 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>thickness of layer k</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>array([1000., 1000., 1000., 1000., 1000., 1000., 1000., 1000., 1000.,\n",
       "       1000.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diat_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0dc95dfc-b592-4c7b-a6e5-85a743603735' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dc95dfc-b592-4c7b-a6e5-85a743603735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b94678e-05cb-4dcd-8593-38888cc50481' class='xr-var-data-in' type='checkbox'><label for='data-1b94678e-05cb-4dcd-8593-38888cc50481' 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>Diatom C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diaz_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-56364b17-82e9-441c-8fcf-3d1ab6b88268' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56364b17-82e9-441c-8fcf-3d1ab6b88268' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bc43ce0-215e-41e4-ad8f-3826f3659da4' class='xr-var-data-in' type='checkbox'><label for='data-5bc43ce0-215e-41e4-ad8f-3826f3659da4' 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>Diazotroph C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_cocco_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7c04c8f8-6e3e-49a1-932b-55a9e930458f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c04c8f8-6e3e-49a1-932b-55a9e930458f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-951044ad-6266-49aa-ad1c-4fb3242f69be' class='xr-var-data-in' type='checkbox'><label for='data-951044ad-6266-49aa-ad1c-4fb3242f69be' 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>Coccolithophores C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiO2_PROD</span></div><div class='xr-var-dims'>(z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fa4690f8-d926-4bc2-9544-90c53a8fcd93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa4690f8-d926-4bc2-9544-90c53a8fcd93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1375a89-3b95-43b3-a749-8369ec995681' class='xr-var-data-in' type='checkbox'><label for='data-c1375a89-3b95-43b3-a749-8369ec995681' 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>SiO2 Production</dd><dt><span>units :</span></dt><dd>mmol/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CaCO3_PROD_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fc3166fb-1468-425b-b826-048730cbb156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc3166fb-1468-425b-b826-048730cbb156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef9203ca-6946-46c9-a428-ef309db086ab' class='xr-var-data-in' type='checkbox'><label for='data-ef9203ca-6946-46c9-a428-ef309db086ab' 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>Vertical Integral of CaCO3 Production</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diaz_Nfix</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6eb85893-5d84-4ea2-a445-aaae5c4ac454' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eb85893-5d84-4ea2-a445-aaae5c4ac454' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01b049b2-c1bb-40e9-84f7-2178646b313b' class='xr-var-data-in' type='checkbox'><label for='data-01b049b2-c1bb-40e9-84f7-2178646b313b' 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>Diazotroph N Fixation</dd><dt><span>units :</span></dt><dd>mmol/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mesozooC</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7508cc1d-a6e1-470f-aa53-c7301bb0f8c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7508cc1d-a6e1-470f-aa53-c7301bb0f8c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4b463b9-0dcf-497c-b3c8-543659983bf6' class='xr-var-data-in' type='checkbox'><label for='data-f4b463b9-0dcf-497c-b3c8-543659983bf6' 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>Mesozooplankton Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>microzooC</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b6e8a46f-b82c-4313-8130-6108a058e33f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6e8a46f-b82c-4313-8130-6108a058e33f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe940a54-f9c6-47e9-9ac8-4c493839626c' class='xr-var-data-in' type='checkbox'><label for='data-fe940a54-f9c6-47e9-9ac8-4c493839626c' 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>Microzooplankton Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_microzoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1cf4a6ba-3beb-41b5-8ffa-8154e2053fbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf4a6ba-3beb-41b5-8ffa-8154e2053fbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b954e0b-21c4-4917-94f4-77e5c013f71c' class='xr-var-data-in' type='checkbox'><label for='data-2b954e0b-21c4-4917-94f4-77e5c013f71c' 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>Microzooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_mesozoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-09719936-2c74-4778-9398-cfe32d502e6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09719936-2c74-4778-9398-cfe32d502e6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df70d2a5-3b6f-49b0-8f2b-8fb4ea2c9205' class='xr-var-data-in' type='checkbox'><label for='data-df70d2a5-3b6f-49b0-8f2b-8fb4ea2c9205' 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>Mesozooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POC_FLUX_100m</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5446b7e8-8829-40be-b51e-5450456c12d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5446b7e8-8829-40be-b51e-5450456c12d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-444b1af5-2f14-43f4-aafb-67a616b665fe' class='xr-var-data-in' type='checkbox'><label for='data-444b1af5-2f14-43f4-aafb-67a616b665fe' 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>POC Flux at 100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4eb84c3-9558-41e7-8f94-e8550424a66a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4eb84c3-9558-41e7-8f94-e8550424a66a' 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:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    dz                     (z_t) float32 1e+03 1e+03 1e+03 ... 1e+03 1e+03 1e+03\n",
       "    photoC_diat_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 nan nan nan ... nan nan nan\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 nan nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_fosi_x01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7abc7911-cfb2-40d7-bf8e-5b909bc8319d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dt_wgt = ds_fosi_x01.time_bound.diff('d2').squeeze()\n",
    "# dt_wgt /= dt_wgt.sum()\n",
    "# #dt_wgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bb40f367-0a19-4719-a091-e8f7fd0abaaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds_fosi_x01 = ds_fosi_x01.weighted(dt_wgt).mean('time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34e40f77-9e5c-44ac-ba4a-e5c96564c7d3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
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   "execution_count": 18,
   "id": "e718e383-ad2a-46a6-bb5b-6f83713d93e5",
   "metadata": {},
   "outputs": [
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       "}\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,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  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:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    dz                     (z_t) float32 1e+03 1e+03 1e+03 ... 1e+03 1e+03 1e+03\n",
       "    photoC_diat_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 nan nan nan ... nan nan nan\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 nan nan nan nan ... nan nan nan</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-7340a58f-fb42-456a-8cbe-bb0a6e3bd8d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7340a58f-fb42-456a-8cbe-bb0a6e3bd8d7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li><li><span class='xr-has-index'>z_t</span>: 10</li><li><span class='xr-has-index'>z_t_150m</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3fa1f1b5-c4ce-496c-8238-9fd50120fad1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3fa1f1b5-c4ce-496c-8238-9fd50120fad1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-22d588d0-a8db-40a7-b51b-a60a7c6e2946' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22d588d0-a8db-40a7-b51b-a60a7c6e2946' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0de71d9-e0d7-4e7c-8f8b-7795e3c7cf86' class='xr-var-data-in' type='checkbox'><label for='data-d0de71d9-e0d7-4e7c-8f8b-7795e3c7cf86' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a842c58a-29b4-475a-a79d-a97cabaee885' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a842c58a-29b4-475a-a79d-a97cabaee885' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b4a3964-1209-4750-bf24-d926f9b1226c' class='xr-var-data-in' type='checkbox'><label for='data-0b4a3964-1209-4750-bf24-d926f9b1226c' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 8.5e+03 9.5e+03</div><input id='attrs-7516d50e-f425-4eb4-93e3-57e9f18f10dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7516d50e-f425-4eb4-93e3-57e9f18f10dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcfab266-d919-4e35-925d-d9485167d361' class='xr-var-data-in' type='checkbox'><label for='data-bcfab266-d919-4e35-925d-d9485167d361' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>587499.06</dd></dl></div><div class='xr-var-data'><pre>array([ 500., 1500., 2500., 3500., 4500., 5500., 6500., 7500., 8500., 9500.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z_t_150m</span></div><div class='xr-var-dims'>(z_t_150m)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>500.0 1.5e+03 ... 1.35e+04 1.45e+04</div><input id='attrs-95fcd75a-1ac0-4d37-8859-a4a594fd7a93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95fcd75a-1ac0-4d37-8859-a4a594fd7a93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c53cac-859a-4f52-85ab-55740d3db5d5' class='xr-var-data-in' type='checkbox'><label for='data-c2c53cac-859a-4f52-85ab-55740d3db5d5' 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>depth from surface to midpoint of layer</dd><dt><span>units :</span></dt><dd>centimeters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>500.0</dd><dt><span>valid_max :</span></dt><dd>14500.0</dd></dl></div><div class='xr-var-data'><pre>array([  500.,  1500.,  2500.,  3500.,  4500.,  5500.,  6500.,  7500.,  8500.,\n",
       "        9500., 10500., 11500., 12500., 13500., 14500.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8739cad-f5f1-4107-80fd-daf20551afac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8739cad-f5f1-4107-80fd-daf20551afac' class='xr-section-summary' >Data variables: <span>(13)</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>photoC_sp_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-313a5726-fc45-4a6e-8a6f-c6179a24699a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-313a5726-fc45-4a6e-8a6f-c6179a24699a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06751d0f-f179-4d5c-9856-1641e7b7ab85' class='xr-var-data-in' type='checkbox'><label for='data-06751d0f-f179-4d5c-9856-1641e7b7ab85' 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>Small Phyto C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dz</span></div><div class='xr-var-dims'>(z_t)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 1e+03 1e+03 ... 1e+03 1e+03</div><input id='attrs-784b9989-e61c-457b-adf5-f416aa95810c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-784b9989-e61c-457b-adf5-f416aa95810c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5b568ab-48c2-4bc4-a2b4-f0707acbcf8e' class='xr-var-data-in' type='checkbox'><label for='data-e5b568ab-48c2-4bc4-a2b4-f0707acbcf8e' 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>thickness of layer k</dd><dt><span>units :</span></dt><dd>centimeters</dd></dl></div><div class='xr-var-data'><pre>array([1000., 1000., 1000., 1000., 1000., 1000., 1000., 1000., 1000.,\n",
       "       1000.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diat_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a322bc6b-fe49-45a7-832e-1af8b1e9512c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a322bc6b-fe49-45a7-832e-1af8b1e9512c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e99cbe4b-3915-46a3-ac02-f476bdacc60d' class='xr-var-data-in' type='checkbox'><label for='data-e99cbe4b-3915-46a3-ac02-f476bdacc60d' 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>Diatom C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_diaz_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-351e28e4-5b6d-452e-8802-e515f162c612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-351e28e4-5b6d-452e-8802-e515f162c612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d4f2a04-9873-4a30-a9a3-a2580f8a01d2' class='xr-var-data-in' type='checkbox'><label for='data-4d4f2a04-9873-4a30-a9a3-a2580f8a01d2' 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>Diazotroph C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>photoC_cocco_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-af665b78-9643-42c9-b181-6806d4b3d2e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af665b78-9643-42c9-b181-6806d4b3d2e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-026665ee-a3a8-4c91-baff-f2b6b5e01c16' class='xr-var-data-in' type='checkbox'><label for='data-026665ee-a3a8-4c91-baff-f2b6b5e01c16' 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>Coccolithophores C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiO2_PROD</span></div><div class='xr-var-dims'>(z_t, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-60e9d8e6-d9c9-441f-8387-30b726482da7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60e9d8e6-d9c9-441f-8387-30b726482da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54507ed4-47f2-47a7-8657-82be78f6763e' class='xr-var-data-in' type='checkbox'><label for='data-54507ed4-47f2-47a7-8657-82be78f6763e' 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>SiO2 Production</dd><dt><span>units :</span></dt><dd>mmol/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CaCO3_PROD_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-49a1c292-e395-49cc-a7ff-dddee262abc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49a1c292-e395-49cc-a7ff-dddee262abc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f106439e-512a-4f3d-83c7-09d26fe1838e' class='xr-var-data-in' type='checkbox'><label for='data-f106439e-512a-4f3d-83c7-09d26fe1838e' 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>Vertical Integral of CaCO3 Production</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diaz_Nfix</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e118bc1f-5983-4ae4-bac6-7d04fd59f910' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e118bc1f-5983-4ae4-bac6-7d04fd59f910' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55ccf811-83cc-488c-a1c7-9656ddd15274' class='xr-var-data-in' type='checkbox'><label for='data-55ccf811-83cc-488c-a1c7-9656ddd15274' 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>Diazotroph N Fixation</dd><dt><span>units :</span></dt><dd>mmol/m^3/s</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mesozooC</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-691884d6-b459-4ae0-afbc-c1aff0c8c72f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-691884d6-b459-4ae0-afbc-c1aff0c8c72f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72acb0e-351a-4de7-8d1c-94287db34266' class='xr-var-data-in' type='checkbox'><label for='data-d72acb0e-351a-4de7-8d1c-94287db34266' 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>Mesozooplankton Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>microzooC</span></div><div class='xr-var-dims'>(z_t_150m, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-68cd57ea-5819-4c6b-85a8-1b4c394ff4d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68cd57ea-5819-4c6b-85a8-1b4c394ff4d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f21258e1-4294-4fed-8085-ac7ae0c8cd16' class='xr-var-data-in' type='checkbox'><label for='data-f21258e1-4294-4fed-8085-ac7ae0c8cd16' 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>Microzooplankton Carbon</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3114</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]],\n",
       "\n",
       "       [[nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        ...,\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan],\n",
       "        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_microzoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4213e54e-d144-454f-86af-2a958b41e8fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4213e54e-d144-454f-86af-2a958b41e8fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb609a3b-5400-4b45-b81c-db4019d48e3a' class='xr-var-data-in' type='checkbox'><label for='data-eb609a3b-5400-4b45-b81c-db4019d48e3a' 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>Microzooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_graze_mesozoo_zint</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a8b49ba2-acd9-4b03-8d16-ada452cc38c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8b49ba2-acd9-4b03-8d16-ada452cc38c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781516c3-b556-4a95-b7e2-96f3ba1a2203' class='xr-var-data-in' type='checkbox'><label for='data-781516c3-b556-4a95-b7e2-96f3ba1a2203' 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>Mesozooplankton Grazing Gain Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POC_FLUX_100m</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e451f359-2e3c-47d1-b884-fe8dd839965e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e451f359-2e3c-47d1-b884-fe8dd839965e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6340cd02-521e-404b-9107-9c115332eb5d' class='xr-var-data-in' type='checkbox'><label for='data-6340cd02-521e-404b-9107-9c115332eb5d' 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>POC Flux at 100m</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcfe492f-5f84-42b6-88dc-afcb56c099c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dcfe492f-5f84-42b6-88dc-afcb56c099c8' 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:                (nlat: 2400, nlon: 3600, z_t: 10, z_t_150m: 15)\n",
       "Coordinates:\n",
       "    TLAT                   (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "    TLONG                  (nlat, nlon) float64 nan nan nan nan ... nan nan nan\n",
       "  * z_t                    (z_t) float32 500.0 1.5e+03 ... 8.5e+03 9.5e+03\n",
       "  * z_t_150m               (z_t_150m) float32 500.0 1.5e+03 ... 1.45e+04\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Data variables: (12/13)\n",
       "    photoC_sp_zint         (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    dz                     (z_t) float32 1e+03 1e+03 1e+03 ... 1e+03 1e+03 1e+03\n",
       "    photoC_diat_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_diaz_zint       (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    photoC_cocco_zint      (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    SiO2_PROD              (z_t, nlat, nlon) float32 nan nan nan ... nan nan nan\n",
       "    ...                     ...\n",
       "    diaz_Nfix              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    mesozooC               (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    microzooC              (z_t_150m, nlat, nlon) float32 nan nan ... nan nan\n",
       "    x_graze_microzoo_zint  (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    x_graze_mesozoo_zint   (nlat, nlon) float32 nan nan nan nan ... nan nan nan\n",
       "    POC_FLUX_100m          (nlat, nlon) float32 nan nan nan nan ... nan nan nan"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_fosi_x01"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bb08ed7-9232-4b23-a9a5-c9251a2b4b72",
   "metadata": {},
   "source": [
    "### total up NPP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cc3ba4bd-04fd-4e81-ab56-7841c6d865c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_fosi_x01['photoC_TOT_zint'] = ds_fosi_x01['photoC_sp_zint'] + ds_fosi_x01['photoC_diat_zint'] + ds_fosi_x01['photoC_diaz_zint'] + ds_fosi_x01['photoC_cocco_zint']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2aab02ff-941c-4811-8470-b3f706577769",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds_fosi_x01 = ds_fosi_x01.drop(['time_bound'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "27df0bef-5a0f-4522-a83a-6502dd1d457d",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;photoC_TOT_zint&#x27; (nlat: 2400, nlon: 3600)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
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       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "Dimensions without coordinates: nlat, nlon\n",
       "Attributes:\n",
       "    long_name:     Small Phyto C Fixation Vertical Integral\n",
       "    units:         mmol/m^3 cm/s\n",
       "    grid_loc:      2110\n",
       "    cell_methods:  time: mean</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'photoC_TOT_zint'</div><ul class='xr-dim-list'><li><span>nlat</span>: 2400</li><li><span>nlon</span>: 3600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e8668f62-1fca-4a4a-a931-da847833098a' class='xr-array-in' type='checkbox' checked><label for='section-e8668f62-1fca-4a4a-a931-da847833098a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-39048a52-1cbc-46a4-83ff-2bacb97d2796' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39048a52-1cbc-46a4-83ff-2bacb97d2796' 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>TLAT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-26164db5-9a15-4ead-9dee-4d531d414fc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26164db5-9a15-4ead-9dee-4d531d414fc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e4f251c-8510-443e-ba62-c93605146c41' class='xr-var-data-in' type='checkbox'><label for='data-3e4f251c-8510-443e-ba62-c93605146c41' 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>array of t-grid latitudes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLONG</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b5f66b26-930b-43a5-acc9-a3c02d0e1c02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5f66b26-930b-43a5-acc9-a3c02d0e1c02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02beeefb-ced7-442f-80c5-fe5567664251' class='xr-var-data-in' type='checkbox'><label for='data-02beeefb-ced7-442f-80c5-fe5567664251' 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>array of t-grid longitudes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f040421-8431-45fe-8d99-7a664e0cb4c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f040421-8431-45fe-8d99-7a664e0cb4c4' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Small Phyto C Fixation Vertical Integral</dd><dt><span>units :</span></dt><dd>mmol/m^3 cm/s</dd><dt><span>grid_loc :</span></dt><dd>2110</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div></li></ul></div></div>"
      ],
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       "Attributes:\n",
       "    long_name:     Small Phyto C Fixation Vertical Integral\n",
       "    units:         mmol/m^3 cm/s\n",
       "    grid_loc:      2110\n",
       "    cell_methods:  time: mean"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_fosi_x01.photoC_TOT_zint"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76ee5a57-f19d-4b2c-ae0e-d16a48c91c7c",
   "metadata": {},
   "source": [
    "##### Carbon-related variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "42ab1542-365d-427c-9e70-1349d6bda6b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "cvars = ['photoC_TOT_zint', 'photoC_sp_zint','photoC_diat_zint',\n",
    "         'photoC_diaz_zint','photoC_cocco_zint', 'POC_FLUX_100m',\n",
    "         'CaCO3_PROD_zint','x_graze_microzoo_zint','x_graze_mesozoo_zint']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "29fafcd9-095a-4d6b-a88d-81c6c79623c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b821f0d1290>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "surface_mask = ds_grid.TAREA.where(ds_grid.REGION_MASK > 0).fillna(0.) \n",
    "surface_mask.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d798c398-df87-441a-a975-39824ea8fd45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'photoC_TOT_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'photoC_sp_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'photoC_diat_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'photoC_diaz_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'photoC_cocco_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'POC_FLUX_100m': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'CaCO3_PROD_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'x_graze_microzoo_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT, 'x_graze_mesozoo_zint': <xarray.DataArray 'TAREA' (nlat: 2400, nlon: 3600)>\n",
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    units:        cm^2\n",
      "    long_name:    area of T cells\n",
      "    coordinates:  TLONG TLAT}\n"
     ]
    }
   ],
   "source": [
    "masked_area = {\n",
    "    v: surface_mask.where(ds_fosi_x01[v].notnull()).fillna(0.) \n",
    "    for v in cvars\n",
    "}\n",
    "print(masked_area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7b850513-81d5-4484-9d23-5d548e786d97",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "photoC_TOT_zint\n",
      "<xarray.DataArray 'photoC_TOT_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Small Phyto C Fixation Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "photoC_sp_zint\n",
      "<xarray.DataArray 'photoC_sp_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Small Phyto C Fixation Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "photoC_diat_zint\n",
      "<xarray.DataArray 'photoC_diat_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Diatom C Fixation Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "photoC_diaz_zint\n",
      "<xarray.DataArray 'photoC_diaz_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Diazotroph C Fixation Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "photoC_cocco_zint\n",
      "<xarray.DataArray 'photoC_cocco_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Coccolithophores C Fixation Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "POC_FLUX_100m\n",
      "<xarray.DataArray 'POC_FLUX_100m' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     POC Flux at 100m\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "CaCO3_PROD_zint\n",
      "<xarray.DataArray 'CaCO3_PROD_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Vertical Integral of CaCO3 Production\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "x_graze_microzoo_zint\n",
      "<xarray.DataArray 'x_graze_microzoo_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Microzooplankton Grazing Gain Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n",
      "x_graze_mesozoo_zint\n",
      "<xarray.DataArray 'x_graze_mesozoo_zint' (nlat: 2400, nlon: 3600)>\n",
      "array([[nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       ...,\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan],\n",
      "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
      "Coordinates:\n",
      "    TLAT     (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "    TLONG    (nlat, nlon) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
      "Dimensions without coordinates: nlat, nlon\n",
      "Attributes:\n",
      "    long_name:     Mesozooplankton Grazing Gain Vertical Integral\n",
      "    units:         mmol/m^3 cm/s\n",
      "    grid_loc:      2110\n",
      "    cell_methods:  time: mean\n"
     ]
    }
   ],
   "source": [
    "ds_glb = xr.Dataset()\n",
    "\n",
    "for v in cvars:\n",
    "    print(v)\n",
    "    print(ds_fosi_x01[v])\n",
    "    ds_glb[v] = (ds_fosi_x01[v] * masked_area[v]).sum(['nlat', 'nlon'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "43442524-0991-45a4-acbe-74d2b83285af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(7.98694434e+15)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_glb.photoC_cocco_zint.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "33e581be-09bb-4087-9651-0103c8f9e522",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['diaz_Nfix', 'z_t_150m', 'z_t', 'mesozooC', 'TLONG', 'microzooC', 'TLAT', 'SiO2_PROD', 'dz']\n",
      "going to compute global totals\n",
      "photoC_TOT_zint\n",
      "photoC_sp_zint\n",
      "photoC_diat_zint\n",
      "photoC_diaz_zint\n",
      "photoC_cocco_zint\n",
      "POC_FLUX_100m\n",
      "CaCO3_PROD_zint\n",
      "x_graze_microzoo_zint\n",
      "x_graze_mesozoo_zint\n"
     ]
    }
   ],
   "source": [
    "cvars = ['photoC_TOT_zint', 'photoC_sp_zint','photoC_diat_zint',\n",
    "         'photoC_diaz_zint','photoC_cocco_zint', 'POC_FLUX_100m',\n",
    "         'CaCO3_PROD_zint','x_graze_microzoo_zint','x_graze_mesozoo_zint']\n",
    "\n",
    "ds_glb = utils.global_mean(ds_fosi_x01, ds_grid, cvars, normalize=False).compute()\n",
    "\n",
    "nmols_to_PgCyr = 1e-9 * 12. * 1e-15 * 365. * 86400.\n",
    "\n",
    "for v in cvars:\n",
    "    ds_glb[v] = ds_glb[v] * nmols_to_PgCyr        \n",
    "    ds_glb[v].attrs['units'] = 'Pg C yr$^{-1}$'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59b5051a-961e-4587-ab97-9e2d37acf01b",
   "metadata": {},
   "source": [
    "<!-- ##### Zooplankton biomass -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c00837a5-4a94-4095-8bf6-4b90c46067f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp = (ds_fosi_x01.microzooC * 10.).sum(dim='z_t_150m') #mmol/m2\n",
    "tmp = (tmp * area_m * 0.001).sum(dim=('nlon','nlat')) ## mol\n",
    "tmp = tmp.values * 1.e-15 * 12.011 #Pg C\n",
    "ds_glb['microzooC'] = tmp\n",
    "ds_glb['microzooC'].attrs['units'] = 'Pg C'\n",
    "\n",
    "tmp = (ds_fosi_x01.mesozooC * 10.).sum(dim='z_t_150m') #mmol/m2\n",
    "tmp = (tmp * area_m * 0.001).sum(dim=('nlon','nlat')) ## mol\n",
    "tmp = tmp.values * 1.e-15 * 12.011 #Pg C\n",
    "ds_glb['mesozooC'] = tmp\n",
    "ds_glb['mesozooC'].attrs['units'] = 'Pg C'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26a1e637-e3c9-4bd7-9d42-2720fa76a109",
   "metadata": {},
   "source": [
    "##### Percent NPP by diatoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a924e3eb-54b8-4c71-abd3-2e30e4759eae",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_glb['diatNPPpercent'] = ds_glb.photoC_diat_zint / ds_glb.photoC_TOT_zint * 100.\n",
    "ds_glb['diatNPPpercent'].attrs['units'] = '%'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "509196f4-12df-4882-8b39-1cff866ce868",
   "metadata": {},
   "source": [
    "##### Diatom silicification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e5038f83-82be-4257-9802-a76008ad4e6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp = (ds_fosi_x01.SiO2_PROD.isel(z_t=slice(0,10)) * 10.).sum(dim='z_t') ## depth integral, units in mmol/m2/s\n",
    "tmp = tmp * area_m ## mmol/s\n",
    "tmp = tmp * 86400. * 365 * 0.001 ## mol/yr \n",
    "tmp = tmp.sum(dim=('nlon','nlat')) * 1.e-12 #Tmol/yr\n",
    "\n",
    "ds_glb['SiO2_PROD'] = tmp\n",
    "ds_glb['SiO2_PROD'].attrs['units'] = 'Tmol Si yr$^{-1}$'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1111829a-37c6-4244-912b-bfbd73e661fa",
   "metadata": {},
   "source": [
    "##### Nitrogen fixation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "46c53c3e-691c-415f-96bb-c36f590dd2b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp = (ds_fosi_x01['diaz_Nfix'] * 10.).sum(dim='z_t_150m') # unit is mmol/m2/s\n",
    "tmp = tmp * area_m ## mmol/s\n",
    "tmp = tmp * 86400. * 365. * 0.001 * 14. * 1e-12 #convert to Tg N / yr\n",
    "\n",
    "ds_glb['diaz_Nfix'] = tmp.sum(dim=('nlon','nlat'))\n",
    "ds_glb['diaz_Nfix'].attrs['units'] = 'Tg N yr$^{-1}$'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e10dbded-7f28-4941-8dbd-0c2736d35b99",
   "metadata": {},
   "source": [
    "##### Zooplankton productivity as % NPP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1b7ba11c-5c12-4c13-8237-a2c172210695",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_glb['zooprodNPPpercent'] = (ds_glb['x_graze_mesozoo_zint'] + ds_glb['x_graze_microzoo_zint'])/ds_glb['photoC_TOT_zint'] * 100.\n",
    "ds_glb['zooprodNPPpercent'].attrs['units'] = '%'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ae8c5ab-47ce-40f6-a5bb-4a9e796d7bfa",
   "metadata": {},
   "source": [
    "### Make a table of global metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1b19bf5c-ed13-475d-b90b-e0b2d1c076bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(columns=['Metric','unit','CESM','Obs','Reference'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "82127ac9-e6ad-433b-b4f0-39748d340f8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[0] = ['NPP',ds_glb.photoC_TOT_zint.attrs['units'],np.round(ds_glb.photoC_TOT_zint.values, 2),'45 to 55','Behrenfeld & Falkowski 1997; Carr et al., 2006']\n",
    "df.loc[1] = ['POC export 100m',ds_glb.POC_FLUX_100m.attrs['units'],np.round(ds_glb.POC_FLUX_100m.values, 2),'4 to 12','DeVries & Weber, 2017']\n",
    "df.loc[2] = ['%NPP by diatoms',ds_glb.diatNPPpercent.attrs['units'],np.round(ds_glb.diatNPPpercent.values, 2),'40%','Nelson et al., 1995']\n",
    "df.loc[3] = ['Silicification',ds_glb.SiO2_PROD.attrs['units'],np.round(ds_glb.SiO2_PROD.values, 2),'100 to 190','Nelson et al., 1995; Holzer et al., 2014']\n",
    "df.loc[4] = ['Calcification',ds_glb.CaCO3_PROD_zint.attrs['units'],np.round(ds_glb.CaCO3_PROD_zint.values, 2),'0.7 to 4.7','Liang et al., 2023; Ziveri et al., 2023 and refs therein']\n",
    "df.loc[5] = ['Nitrogen fixation',ds_glb.diaz_Nfix.attrs['units'],np.round(ds_glb.diaz_Nfix.values, 2),'125.6 and 222.9','Wang et al., 2019']\n",
    "df.loc[6] = ['Microzooplankton biomass',ds_glb.microzooC.attrs['units'],np.round(ds_glb.microzooC.values, 2),'0.24','Buitenhuis et al., 2010']\n",
    "df.loc[7] = ['Mesozooplankton biomass',ds_glb.mesozooC.attrs['units'],np.round(ds_glb.mesozooC.values, 2),'0.16 to 0.19','Buitenhuis et al., 2006; Moriarty & OBrien, 2013']\n",
    "df.loc[8] = ['Zoo prod % of NPP',ds_glb.zooprodNPPpercent.attrs['units'],np.round(ds_glb.zooprodNPPpercent.values, 2),'at least 21%','Landry and Calbet, 2004']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7a38c5a8-91de-44b7-ab61-d48561e20625",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metric</th>\n",
       "      <th>unit</th>\n",
       "      <th>CESM</th>\n",
       "      <th>Obs</th>\n",
       "      <th>Reference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NPP</td>\n",
       "      <td>Pg C yr$^{-1}$</td>\n",
       "      <td>52.26</td>\n",
       "      <td>45 to 55</td>\n",
       "      <td>Behrenfeld &amp; Falkowski 1997; Carr et al., 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POC export 100m</td>\n",
       "      <td>Pg C yr$^{-1}$</td>\n",
       "      <td>6.39</td>\n",
       "      <td>4 to 12</td>\n",
       "      <td>DeVries &amp; Weber, 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>%NPP by diatoms</td>\n",
       "      <td>%</td>\n",
       "      <td>38.17</td>\n",
       "      <td>40%</td>\n",
       "      <td>Nelson et al., 1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Silicification</td>\n",
       "      <td>Tmol Si yr$^{-1}$</td>\n",
       "      <td>101.73</td>\n",
       "      <td>100 to 190</td>\n",
       "      <td>Nelson et al., 1995; Holzer et al., 2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Calcification</td>\n",
       "      <td>Pg C yr$^{-1}$</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.7 to 4.7</td>\n",
       "      <td>Liang et al., 2023; Ziveri et al., 2023 and re...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Nitrogen fixation</td>\n",
       "      <td>Tg N yr$^{-1}$</td>\n",
       "      <td>176.34</td>\n",
       "      <td>125.6 and 222.9</td>\n",
       "      <td>Wang et al., 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Microzooplankton biomass</td>\n",
       "      <td>Pg C</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.24</td>\n",
       "      <td>Buitenhuis et al., 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Mesozooplankton biomass</td>\n",
       "      <td>Pg C</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.16 to 0.19</td>\n",
       "      <td>Buitenhuis et al., 2006; Moriarty &amp; OBrien, 2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Zoo prod % of NPP</td>\n",
       "      <td>%</td>\n",
       "      <td>25.35</td>\n",
       "      <td>at least 21%</td>\n",
       "      <td>Landry and Calbet, 2004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Metric               unit    CESM              Obs  \\\n",
       "0                       NPP     Pg C yr$^{-1}$   52.26         45 to 55   \n",
       "1           POC export 100m     Pg C yr$^{-1}$    6.39          4 to 12   \n",
       "2           %NPP by diatoms                  %   38.17              40%   \n",
       "3            Silicification  Tmol Si yr$^{-1}$  101.73       100 to 190   \n",
       "4             Calcification     Pg C yr$^{-1}$    0.87       0.7 to 4.7   \n",
       "5         Nitrogen fixation     Tg N yr$^{-1}$  176.34  125.6 and 222.9   \n",
       "6  Microzooplankton biomass               Pg C    0.24             0.24   \n",
       "7   Mesozooplankton biomass               Pg C    0.38     0.16 to 0.19   \n",
       "8         Zoo prod % of NPP                  %   25.35     at least 21%   \n",
       "\n",
       "                                           Reference  \n",
       "0     Behrenfeld & Falkowski 1997; Carr et al., 2006  \n",
       "1                              DeVries & Weber, 2017  \n",
       "2                                Nelson et al., 1995  \n",
       "3           Nelson et al., 1995; Holzer et al., 2014  \n",
       "4  Liang et al., 2023; Ziveri et al., 2023 and re...  \n",
       "5                                  Wang et al., 2019  \n",
       "6                            Buitenhuis et al., 2010  \n",
       "7   Buitenhuis et al., 2006; Moriarty & OBrien, 2013  \n",
       "8                            Landry and Calbet, 2004  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "84f4a5fc-210d-4bc9-a07c-dd9713ab5829",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ec49a0c-75d2-4a7e-8786-e47b8dde8de6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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