Fig4_part1_nutrients_validation.ipynb

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    "import numpy as np\n",
    "import math\n",
    "import xarray as xr\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from glob import glob\n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "import metpy.calc as mpcalc\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from scipy import stats\n",
    "import pop_tools \n",
    "import matplotlib.path as mpath\n",
    "import dask\n",
    "import esmlab\n",
    "import utils\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.gridspec as gridspec\n",
    "import matplotlib.colors as colors"
   ]
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     "data": {
      "text/plain": [
       "'/glade/campaign/cgd/oce/projects/FOSI_BGC/HR/g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001/ocn/proc/tseries/month_1'"
      ]
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     "execution_count": 2,
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     "output_type": "execute_result"
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   "source": [
    "case = 'g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001'\n",
    "path = '/glade/campaign/cgd/oce/projects/FOSI_BGC/HR/g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001/ocn/proc/tseries/month_1'\n",
    "variables = ['NO3','SiO3','PO4']\n",
    "coords = {'x':'TLONG','y':'TLAT'}\n",
    "keep_vars = variables + list(coords.values())+['dz','KMT']\n",
    "path"
   ]
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   "cell_type": "markdown",
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   "source": [
    "### get monthly data and immediately convert it to annual"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
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   "source": [
    "def preprocess(ds):\n",
    "    ds=ds.isel(z_t=0)\n",
    "    #ds=ds.isel(z_t_150m=0)\n",
    "    return ds"
   ]
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     "text": [
      "1997\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "1998\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "1999\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2000\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2001\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2002\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2003\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2004\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2005\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2006\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2007\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2008\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2009\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2010\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2011\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2012\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2013\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2014\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2015\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2016\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "2017\n",
      "NO3\n",
      "SiO3\n",
      "PO4\n",
      "CPU times: user 9min 30s, sys: 1min 8s, total: 10min 39s\n",
      "Wall time: 14min 3s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "ds_ann = xr.Dataset()\n",
    "\n",
    "#for year in np.arange(1997,2006,1):\n",
    "for year in np.arange(1997,2018,1):\n",
    "    yr4=\"{:04d}\".format(year)\n",
    "    ds = xr.Dataset()\n",
    "    print(year)\n",
    "    for v in variables:  \n",
    "        print(v)\n",
    "        files = sorted(glob(f'{path}/{case}.pop.h.{v}.{yr4}01-{yr4}12.nc'))\n",
    "        \n",
    "        dsv=xr.open_mfdataset(files, data_vars=\"minimal\", coords='minimal', compat=\"override\", parallel=True, concat_dim=\"time\",\n",
    "                       drop_variables=[\"transport_components\", \"transport_regions\"], decode_times=True,preprocess=preprocess)\n",
    "\n",
    "        ds = xr.merge((ds, dsv))\n",
    "\n",
    "    ds = ds.drop([v for v in ds.variables if v not in keep_vars]).squeeze()\n",
    "    ds = ds.mean(dim='time')\n",
    "    \n",
    "    ## add it to the annual file\n",
    "    ds_ann = xr.concat([ds_ann, ds], \"time\")"
   ]
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   "execution_count": 5,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (nlat: 2400, nlon: 3600, time: 21)\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, time\n",
       "Data variables:\n",
       "    dz       (time) float32 dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    PO4      (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    SiO3     (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    KMT      (time, nlat, nlon) float64 dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;\n",
       "    NO3      (time, nlat, nlon) float32 dask.array&lt;chunksize=(1, 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-cb4c0d7f-0ae0-4728-9926-da91ad94bf63' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cb4c0d7f-0ae0-4728-9926-da91ad94bf63' 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>time</span>: 21</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-88745c2d-8c0c-4c43-b865-39bf85e5bc9a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88745c2d-8c0c-4c43-b865-39bf85e5bc9a' 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-78313e48-ad17-4028-a567-344d404b2ec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78313e48-ad17-4028-a567-344d404b2ec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3054558b-2079-45fe-8623-7560b2f50df5' class='xr-var-data-in' type='checkbox'><label for='data-3054558b-2079-45fe-8623-7560b2f50df5' 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-c162e41e-188d-484d-976e-6992d2658e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c162e41e-188d-484d-976e-6992d2658e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-648a0d17-de42-4f27-afaa-566b9223d8fb' class='xr-var-data-in' type='checkbox'><label for='data-648a0d17-de42-4f27-afaa-566b9223d8fb' 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-d213bb59-94a7-4b93-9a29-d4f0de2a54ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d213bb59-94a7-4b93-9a29-d4f0de2a54ac' class='xr-section-summary' >Data variables: <span>(5)</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>dz</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-24e9d3b6-7b3b-4be1-8a4e-303e8d34e977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24e9d3b6-7b3b-4be1-8a4e-303e8d34e977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53d0a43-b144-43a4-9415-1ebd02d21848' class='xr-var-data-in' type='checkbox'><label for='data-d53d0a43-b144-43a4-9415-1ebd02d21848' 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",
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       "  <tbody>\n",
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       "    <tr><th> Shape </th><td> (21,) </td> <td> (1,) </td></tr>\n",
       "    <tr><th> Count </th><td> 234 Tasks </td><td> 21 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PO4</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-b643df81-59fd-494f-9a78-1ff6bab45bb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b643df81-59fd-494f-9a78-1ff6bab45bb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06e311b5-e002-4903-9671-0d227cb7a20c' class='xr-var-data-in' type='checkbox'><label for='data-06e311b5-e002-4903-9671-0d227cb7a20c' 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>Dissolved Inorganic Phosphate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><table>\n",
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       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiO3</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-bd20dc9c-e99a-4b16-9fc7-c61f1bd17a9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd20dc9c-e99a-4b16-9fc7-c61f1bd17a9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0093f540-8f6f-42d5-acc1-008909787f1a' class='xr-var-data-in' type='checkbox'><label for='data-0093f540-8f6f-42d5-acc1-008909787f1a' 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>Dissolved Inorganic Silicate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><table>\n",
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       "    <tr><th> Count </th><td> 356 Tasks </td><td> 21 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-f6162dbd-0587-4685-b3ff-fc18b2ff0978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6162dbd-0587-4685-b3ff-fc18b2ff0978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c48e2c-854b-4ce7-b117-6b8833e73ece' class='xr-var-data-in' type='checkbox'><label for='data-20c48e2c-854b-4ce7-b117-6b8833e73ece' 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>k Index of Deepest Grid Cell on T Grid</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO3</span></div><div class='xr-var-dims'>(time, nlat, nlon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-45a8aff6-58ed-4474-80ba-b94608d70191' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45a8aff6-58ed-4474-80ba-b94608d70191' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4d151d6-0877-42ac-9a87-c7866f768c19' class='xr-var-data-in' type='checkbox'><label for='data-a4d151d6-0877-42ac-9a87-c7866f768c19' 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>Dissolved Inorganic Nitrate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><table>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (nlat: 2400, nlon: 3600, time: 21)\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, time\n",
       "Data variables:\n",
       "    dz       (time) float32 dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    PO4      (time, nlat, nlon) float32 dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>\n",
       "    SiO3     (time, nlat, nlon) float32 dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>\n",
       "    KMT      (time, nlat, nlon) float64 dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>\n",
       "    NO3      (time, nlat, nlon) float32 dask.array<chunksize=(1, 2400, 3600), meta=np.ndarray>"
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_ann"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### spin up some dask to make the processing faster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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='ext',)\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": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster, client = get_ClusterClient()\n",
    "cluster.scale(8) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "<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://128.117.208.71:33227</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",
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       "</td>\n",
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       "</table>"
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       "<Client: 'tcp://128.117.208.71:33227' processes=0 threads=0, memory=0 B>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_grid = pop_tools.get_grid('POP_tx0.1v3')\n",
    "\n",
    "area = ds_grid.TAREA\n",
    "lats = ds_grid.TLAT\n",
    "lons = ds_grid.TLONG"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make a mean over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds_ann.mean(dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds = ds.compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (nlat: 2400, nlon: 3600)\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",
       "Data variables:\n",
       "    dz       float32 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
       "    PO4      (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    SiO3     (nlat, nlon) float32 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    KMT      (nlat, nlon) float64 dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;\n",
       "    NO3      (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-2f2cdc0c-2ee1-42d3-b35f-2bea9679919c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f2cdc0c-2ee1-42d3-b35f-2bea9679919c' 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></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6cc211dc-3c8e-4d1a-9329-4f8f3a39313c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cc211dc-3c8e-4d1a-9329-4f8f3a39313c' 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-46a2b17c-e645-45d5-a747-a2c73a8dc320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46a2b17c-e645-45d5-a747-a2c73a8dc320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3be86315-8401-497e-9f75-0a1e66026874' class='xr-var-data-in' type='checkbox'><label for='data-3be86315-8401-497e-9f75-0a1e66026874' 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-fbe35742-133a-4215-a87e-9708ed3d8bfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbe35742-133a-4215-a87e-9708ed3d8bfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a02bbf8-8ad9-45a0-beec-775abbdd74cb' class='xr-var-data-in' type='checkbox'><label for='data-2a02bbf8-8ad9-45a0-beec-775abbdd74cb' 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-37537e51-6dc3-4c11-95b8-c58a7f5847f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37537e51-6dc3-4c11-95b8-c58a7f5847f9' class='xr-section-summary' >Data variables: <span>(5)</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>dz</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-f1368dfe-8823-4be8-9bbe-d690a5f71eb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1368dfe-8823-4be8-9bbe-d690a5f71eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9061425-11bb-45a2-b350-aa5a92d5df6d' class='xr-var-data-in' type='checkbox'><label for='data-b9061425-11bb-45a2-b350-aa5a92d5df6d' 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> 4 B </td> <td> 4.0 B </td></tr>\n",
       "    <tr><th> Shape </th><td> () </td> <td> () </td></tr>\n",
       "    <tr><th> Count </th><td> 264 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",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PO4</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-4c315eb5-85cc-4ef2-bedb-315c62b52f93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c315eb5-85cc-4ef2-bedb-315c62b52f93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b75cb4a3-d7d9-4735-a240-95f783251166' class='xr-var-data-in' type='checkbox'><label for='data-b75cb4a3-d7d9-4735-a240-95f783251166' 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>Dissolved Inorganic Phosphate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><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> 386 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",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SiO3</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-dfe913ef-09e5-41db-875d-d9103c77aeed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfe913ef-09e5-41db-875d-d9103c77aeed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bd38899-4f5c-4cac-90ed-02ba0bd24484' class='xr-var-data-in' type='checkbox'><label for='data-2bd38899-4f5c-4cac-90ed-02ba0bd24484' 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>Dissolved Inorganic Silicate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><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> 386 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",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KMT</span></div><div class='xr-var-dims'>(nlat, nlon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</div><input id='attrs-d0636f9f-efe9-40b6-89e4-41a0226f8047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0636f9f-efe9-40b6-89e4-41a0226f8047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f21a8abe-1c65-4f91-b0ea-8a20b68c4046' class='xr-var-data-in' type='checkbox'><label for='data-f21a8abe-1c65-4f91-b0ea-8a20b68c4046' 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>k Index of Deepest Grid Cell on T Grid</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> 65.92 MiB </td> <td> 65.92 MiB </td></tr>\n",
       "    <tr><th> Shape </th><td> (2400, 3600) </td> <td> (2400, 3600) </td></tr>\n",
       "    <tr><th> Count </th><td> 388 Tasks </td><td> 1 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </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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       "  <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>NO3</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-ef2194f1-aa42-4e10-b930-2517068f8653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef2194f1-aa42-4e10-b930-2517068f8653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a499033-ab0e-4b2d-8d5b-f7933718693e' class='xr-var-data-in' type='checkbox'><label for='data-6a499033-ab0e-4b2d-8d5b-f7933718693e' 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>Dissolved Inorganic Nitrate</dd><dt><span>units :</span></dt><dd>mmol/m^3</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'><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> 386 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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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-884cb0c5-0df7-4acf-abed-e5c02bc1c7f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-884cb0c5-0df7-4acf-abed-e5c02bc1c7f2' 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)\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",
       "Data variables:\n",
       "    dz       float32 dask.array<chunksize=(), meta=np.ndarray>\n",
       "    PO4      (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    SiO3     (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    KMT      (nlat, nlon) float64 dask.array<chunksize=(2400, 3600), meta=np.ndarray>\n",
       "    NO3      (nlat, nlon) float32 dask.array<chunksize=(2400, 3600), meta=np.ndarray>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get WOA data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = '/glade/work/kristenk/WOA_data/regrid_POP/WOA2018_x0.1POPgrid.nc' \n",
    "ds_woa = xr.load_dataset(file, decode_times=False, decode_coords=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_woa = ds_woa.isel(z_t=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ds_woa['z_t'] = ds.z_t\n",
    "\n",
    "NO3_diff = ds.NO3 - ds_woa.NO3\n",
    "PO4_diff = ds.PO4 - ds_woa.PO4\n",
    "SiO3_diff = ds.SiO3 - ds_woa.SiO3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\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",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;NO3&#x27; (nlat: 2400, nlon: 3600)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(2400, 3600), dtype=float32, chunksize=(2400, 3600), chunktype=numpy.ndarray&gt;\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:     Dissolved Inorganic Nitrate\n",
       "    units:         mmol/m^3\n",
       "    grid_loc:      3111\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'>'NO3'</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-fbf4511d-e1e2-44d3-9325-fef262fb7f25' class='xr-array-in' type='checkbox' checked><label for='section-fbf4511d-e1e2-44d3-9325-fef262fb7f25' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2400, 3600), meta=np.ndarray&gt;</span></div><div class='xr-array-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> 386 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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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,80.0 0.0,80.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\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></div></li><li class='xr-section-item'><input id='section-92b8c5a3-ed07-497e-8bb0-6dadf893fbae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92b8c5a3-ed07-497e-8bb0-6dadf893fbae' 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-d14fb639-f376-48e9-8d58-c59f7b15bf01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d14fb639-f376-48e9-8d58-c59f7b15bf01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-869a3958-ebb0-4138-bca4-caa2f05b3cb7' class='xr-var-data-in' type='checkbox'><label for='data-869a3958-ebb0-4138-bca4-caa2f05b3cb7' 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-c238c53c-7f04-4368-8fed-dfacc533e1af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c238c53c-7f04-4368-8fed-dfacc533e1af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-525d846a-ae1b-43e2-a70a-4a570a8ca73f' class='xr-var-data-in' type='checkbox'><label for='data-525d846a-ae1b-43e2-a70a-4a570a8ca73f' 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-4582937b-c440-4dfb-a19a-08cd48b1db2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4582937b-c440-4dfb-a19a-08cd48b1db2e' 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>Dissolved Inorganic Nitrate</dd><dt><span>units :</span></dt><dd>mmol/m^3</dd><dt><span>grid_loc :</span></dt><dd>3111</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'NO3' (nlat: 2400, nlon: 3600)>\n",
       "dask.array<mean_agg-aggregate, shape=(2400, 3600), dtype=float32, chunksize=(2400, 3600), chunktype=numpy.ndarray>\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:     Dissolved Inorganic Nitrate\n",
       "    units:         mmol/m^3\n",
       "    grid_loc:      3111\n",
       "    cell_methods:  time: mean"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.NO3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14, 6))\n",
    "gs = gridspec.GridSpec(nrows=3, ncols=6, width_ratios=(1, 1, 0.05, 0.05, 1, 0.05))\n",
    "\n",
    "prj = ccrs.Robinson(central_longitude=305.0)\n",
    "\n",
    "ax_no3_woa = plt.subplot(gs[0, 0], projection=prj)\n",
    "ax_no3_cesm = plt.subplot(gs[0, 1], projection=prj)\n",
    "cax_no3 = plt.subplot(gs[0, 2])\n",
    "ax_no3_diff = plt.subplot(gs[0, 4], projection=prj)\n",
    "cax_no3_diff = plt.subplot(gs[0, 5])\n",
    "\n",
    "ax_po4_woa = plt.subplot(gs[1, 0], projection=prj)\n",
    "ax_po4_cesm = plt.subplot(gs[1, 1], projection=prj)\n",
    "cax_po4 = plt.subplot(gs[1, 2])\n",
    "ax_po4_diff = plt.subplot(gs[1, 4], projection=prj)\n",
    "cax_po4_diff = plt.subplot(gs[1, 5])\n",
    "\n",
    "ax_si_woa = plt.subplot(gs[2, 0], projection=prj)\n",
    "ax_si_cesm = plt.subplot(gs[2, 1], projection=prj)\n",
    "cax_si = plt.subplot(gs[2, 2])\n",
    "ax_si_diff = plt.subplot(gs[2, 4], projection=prj)\n",
    "cax_si_diff = plt.subplot(gs[2, 5])\n",
    "\n",
    "\n",
    "### NO3 row\n",
    "ax_no3_woa.set_title('a) WOA surface NO$_3$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats,  ds_woa.NO3)\n",
    "pc1=ax_no3_woa.pcolormesh(lon, lat,field, vmin=0, vmax=20, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_no3_woa.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "ax_no3_cesm.set_title('b) FOSI-HR surface NO$_3$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, ds.NO3)\n",
    "pc1=ax_no3_cesm.pcolormesh(lon, lat,field, vmin=0, vmax=20, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_no3_cesm.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_no3 = plt.colorbar(pc1, cax=cax_no3,extend='max', \n",
    "                      label='NO$_3$ (mmol m$^{-3}$)')\n",
    "\n",
    "ax_no3_diff.set_title('c) Surface NO$_3$ Bias', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, NO3_diff)\n",
    "pc1=ax_no3_diff.pcolormesh(lon, lat,field, vmin=-15, vmax=15, cmap='bwr',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_no3_diff.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_no3_diff = plt.colorbar(pc1, cax=cax_no3_diff,extend='both', \n",
    "                      label='NO$_3$ bias (mmol m$^{-3}$)')\n",
    "\n",
    "\n",
    "### PO4 row\n",
    "ax_po4_woa.set_title('d) WOA surface PO$_4$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats,  ds_woa.PO4)\n",
    "pc1=ax_po4_woa.pcolormesh(lon, lat,field, vmin=0, vmax=2, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_po4_woa.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "ax_po4_cesm.set_title('e) FOSI-HR surface PO$_4$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, ds.PO4)\n",
    "pc1=ax_po4_cesm.pcolormesh(lon, lat, field, vmin=0, vmax=2, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_po4_cesm.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_po4 = plt.colorbar(pc1, cax=cax_po4,extend='max', \n",
    "                      label='PO$_4$ (mmol m$^{-3}$)')\n",
    "\n",
    "ax_po4_diff.set_title('f) Surface PO$_4$ Bias', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, PO4_diff)\n",
    "pc1=ax_po4_diff.pcolormesh(lon, lat,field, vmin=-1, vmax=1, cmap='bwr',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_po4_diff.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_po4_diff = plt.colorbar(pc1, cax=cax_po4_diff,extend='both', \n",
    "                      label='PO$_4$ bias (mmol m$^{-3}$)')\n",
    "\n",
    "\n",
    "### SiO3 row\n",
    "ax_si_woa.set_title('g) WOA surface SiO$_3$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats,  ds_woa.SiO3)\n",
    "pc1=ax_si_woa.pcolormesh(lon, lat,field, vmin=0, vmax=35, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_si_woa.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "ax_si_cesm.set_title('h) FOSI-HR surface SiO$_3$', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, ds.SiO3)\n",
    "pc1=ax_si_cesm.pcolormesh(lon, lat, field, vmin=0, vmax=35, cmap='Oranges',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_si_cesm.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_si = plt.colorbar(pc1, cax=cax_si,extend='max', \n",
    "                      label='SiO$_3$ (mmol m$^{-3}$)')\n",
    "\n",
    "ax_si_diff.set_title('i) Surface SiO$_3$ Bias', fontsize=10)\n",
    "lon, lat, field = utils.adjust_pop_grid(lons, lats, SiO3_diff)\n",
    "pc1=ax_si_diff.pcolormesh(lon, lat, field, vmin=-20, vmax=20, cmap='bwr',\n",
    "                 transform=ccrs.PlateCarree())\n",
    "ax_si_diff.coastlines('110m',linewidth=0.75)\n",
    "\n",
    "cb_si_diff = plt.colorbar(pc1, cax=cax_si_diff,extend='both', \n",
    "                      label='SiO$_3$ bias (mmol m$^{-3}$)')\n",
    "\n",
    "fig.savefig('/glade/work/kristenk/figs/Fig2_nuts_validation.png', bbox_inches='tight', dpi=300, format='png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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