BATS_CLIM_SURF.ipynb

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    "# BATS climatologies \n",
    "\n",
    "The objective of the present notebook is to display the climatologies generated for the BATS station in the frame of the SEAMLESS project for the purpose of initialisation and overview of local dynamics. \n",
    "\n",
    "The steps involves : \n",
    "1. Loading the files generated in gotm-friendly formats. \n",
    "2. Integrate the data in an xarray structure\n",
    "3. Make some plots\n",
    "4. Output netcdf equivalent to these files, for any type of later usage. \n",
    "\n",
    "We assume the climatology files have been produced using  `python reader_bats_bottle.py` "
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    "# System setup and user definitions\n",
    "from matplotlib import pyplot as plt\n",
    "import datetime as dt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "filedir = './GOTM_INPUT_CLIM/'\n",
    "varlist = ['Temp', 'Sal1','NO3','NO2','Chl','PO41','O2','CO2', 'Alk','Si1','POC','PON','POP','DOC','DON','DOP','TP']\n",
    "# AC 15.09.2021 : Paolo, please check the units.\n",
    "units= {'Temp':'°C',\n",
    "        'Sal1':'-',\n",
    "        'NO3':'mmolN/m3',\n",
    "        'NO2':'mmolN/m3',\n",
    "        'Chl':'mg/m3',\n",
    "        'PO41':'mmolP/m3',\n",
    "        'O2':'mmolO2/m3',\n",
    "        'CO2':'mmolC/m3',\n",
    "        'Alk':'mmol/m3',\n",
    "        'Si1':'mmolSi/m3',\n",
    "        'POC':'mmolC/m3',\n",
    "        'PON':'mmolN/m3',\n",
    "        'POP':'mmolP/m3',\n",
    "        'DOC' : 'mg C/m3',\n",
    "        'DON' : 'mmolN/m3',\n",
    "        'DOP' : 'mmolP/m3',\n",
    "         'TP' : 'mmolP/m3'}\n",
    "vmin= {'Temp': 20.,\n",
    "        'Sal1':36.2,\n",
    "        'NO3':0.,\n",
    "        'NO2':0.,\n",
    "        'Chl':0.,\n",
    "        'PO41':0.,\n",
    "        'O2':180.,\n",
    "        'CO2':24000.,\n",
    "        'Alk':2350,\n",
    "        'Si1':0.,\n",
    "        'POC':0.,\n",
    "        'PON':0.,\n",
    "        'POP':0.,\n",
    "        'DOC' :600.,\n",
    "        'DON' :0.,\n",
    "        'DOP' :0.,\n",
    "         'TP' :0.}\n",
    "vmax= {'Temp': 30.,\n",
    "        'Sal1':37,\n",
    "        'NO3':2.5,\n",
    "        'NO2':0.5,\n",
    "        'Chl':0.5,\n",
    "        'PO41':0.1,\n",
    "        'O2':240.,\n",
    "        'CO2':28000.,\n",
    "        'Alk':2450,\n",
    "        'Si1':1.0,\n",
    "        'POC':40.,\n",
    "        'PON':0.5,\n",
    "        'POP':0.1,\n",
    "        'DOC' :800.,\n",
    "        'DON' :5.,\n",
    "        'DOP' :0.1,\n",
    "         'TP' :0.5}"
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    "# AC 15.09.2021 This can be removed if O2_clim.txt is generated instead of 'O2(1)_clim.txt', which is a strange filename\n",
    "import os\n",
    "os.system(\"cp '\"+ filedir+\"O2(1)_clim.txt' \"+filedir+\"O2_clim.txt\")"
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    "def gotm_to_xr(var, units,filedir=filedir):\n",
    "    '''\n",
    "    Read and load GOTM-friendly files into xarray structure.\n",
    "    A. Capet 15/09/2021\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    var : str\n",
    "        name of a variable. Should correspond to a 'var'_clim.txt file in filedir\n",
    "    filedir : str\n",
    "        directory for the climatology files\n",
    "                \n",
    "    Returns    \n",
    "    ----------\n",
    "    An xarray with the variable var\n",
    "    '''\n",
    "    \n",
    "    fn=filedir+var+'_clim.txt'\n",
    "\n",
    "    with open(fn) as f:\n",
    "        tcount=0\n",
    "        while True:\n",
    "            txt = f.readline()\n",
    "            if not txt:\n",
    "                break\n",
    "            date,nrow,_=txt.split('\\t')\n",
    "            npa=np.empty([int(nrow),2])\n",
    "            for n in range(int(nrow)):\n",
    "                d,v = f.readline().split('\\t')\n",
    "                npa[n,:]=[float(d),float(v)]\n",
    "            xrl=xr.DataArray(npa[:,1],coords={\"depth\":npa[:,0]}, dims=['depth'])\n",
    "            xrl=xrl.expand_dims({\"time\":[np.datetime64(date)]})\n",
    "            if tcount==0:\n",
    "                xrlo=xrl.copy()\n",
    "            else:\n",
    "                xrlo=xr.concat([xrlo, xrl],dim=\"time\")\n",
    "            tcount+=1\n",
    "\n",
    "    xrlo.attrs[\"units\"] = units[var]\n",
    "    xrd=xr.Dataset({var:xrlo})\n",
    "    \n",
    "    return(xrd)\n",
    "    \n",
    "def gotm_clim_load(varlist,filedir,units):\n",
    "    '''\n",
    "    Read and load GOTM-friendly files into xarray structure.\n",
    "    A. Capet 15/09/2021\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    varlist : list of str\n",
    "        list of variable names. Each should correspond to a 'var'_clim.txt file in filedir\n",
    "    filedir : str\n",
    "        directory for the climatology files\n",
    "    units : dict\n",
    "        associate units (str) to each var of varlist\n",
    "                \n",
    "    Returns    \n",
    "    ----------\n",
    "    An xarray dataset with all variables\n",
    "    '''\n",
    "    xs = [gotm_to_xr(v,units,filedir) for v in varlist]\n",
    "    \n",
    "    xs = xr.merge(xs)\n",
    "    return(xs)"
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       "Dimensions:  (depth: 39, time: 84)\n",
       "Coordinates:\n",
       "  * depth    (depth) float64 -1.2e+04 -4.2e+03 -4e+03 ... -20.0 -10.0 -0.0\n",
       "  * time     (time) datetime64[ns] 2014-01-16T12:00:00 ... 2020-12-16T12:00:00\n",
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       "    Sal1     (time, depth) float64 34.88 34.88 34.89 34.89 ... 36.63 36.56 36.65\n",
       "    NO3      (time, depth) float64 20.43 20.43 20.14 ... 0.02563 0.02563 0.02563\n",
       "    NO2      (time, depth) float64 0.01047 0.01047 0.01046 ... 0.005126 0.00769\n",
       "    Chl      (time, depth) float64 0.0 nan nan nan ... 0.1251 0.1251 0.1097\n",
       "    PO41     (time, depth) float64 1.34 1.34 1.328 ... 0.005126 0.005126\n",
       "    O2       (time, depth) float64 274.2 274.2 276.2 277.5 ... 218.9 217.7 219.2\n",
       "    CO2      (time, depth) float64 2.739e+04 2.739e+04 ... 2.531e+04 2.532e+04\n",
       "    Alk      (time, depth) float64 2.449e+03 2.449e+03 ... 2.456e+03 2.455e+03\n",
       "    Si1      (time, depth) float64 37.16 37.16 35.39 ... 0.8151 0.8561 0.7331\n",
       "    POC      (time, depth) float64 0.0 nan nan nan ... 23.39 23.12 24.39 22.62\n",
       "    PON      (time, depth) float64 0.0 nan nan nan ... 0.3032 0.3325 0.2838\n",
       "    POP      (time, depth) float64 0.0 nan nan nan ... 0.007177 0.007177 0.01025\n",
       "    DOC      (time, depth) float64 530.3 nan nan nan ... 791.3 804.9 808.5 827.6\n",
       "    DON      (time, depth) float64 0.0 nan nan nan ... 3.582 3.978 3.845 3.587\n",
       "    DOP      (time, depth) float64 0.0 nan nan nan ... 0.07382 0.06254 0.06562\n",
       "    TP       (time, depth) float64 0.4074 nan nan nan ... 0.08613 0.07484 0.081</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-812ada2d-8d7a-4cbe-8330-f7207f768279' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-812ada2d-8d7a-4cbe-8330-f7207f768279' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>depth</span>: 39</li><li><span class='xr-has-index'>time</span>: 84</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fc199cd8-012c-45d2-bdd3-b2851c220901' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc199cd8-012c-45d2-bdd3-b2851c220901' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>depth</span></div><div class='xr-var-dims'>(depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.2e+04 -4.2e+03 ... -10.0 -0.0</div><input id='attrs-a5de385d-f515-4147-937d-a6506bc519bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5de385d-f515-4147-937d-a6506bc519bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-940282f9-3e8a-413a-b8f0-3b37af3e1458' class='xr-var-data-in' type='checkbox'><label for='data-940282f9-3e8a-413a-b8f0-3b37af3e1458' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1.2e+04, -4.2e+03, -4.0e+03, -3.8e+03, -3.6e+03, -3.4e+03, -3.2e+03,\n",
       "       -3.0e+03, -2.8e+03, -2.6e+03, -2.4e+03, -2.2e+03, -2.0e+03, -1.8e+03,\n",
       "       -1.6e+03, -1.4e+03, -1.3e+03, -1.2e+03, -1.1e+03, -1.0e+03, -9.0e+02,\n",
       "       -8.0e+02, -7.0e+02, -6.0e+02, -5.0e+02, -4.0e+02, -3.0e+02, -2.5e+02,\n",
       "       -2.0e+02, -1.6e+02, -1.4e+02, -1.2e+02, -1.0e+02, -8.0e+01, -6.0e+01,\n",
       "       -4.0e+01, -2.0e+01, -1.0e+01, -0.0e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-16T12:00:00 ... 2020-12-...</div><input id='attrs-d06244f1-000b-476e-9e25-5883caeeb8f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d06244f1-000b-476e-9e25-5883caeeb8f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52629ab3-be8d-4af3-9654-7f68893ad575' class='xr-var-data-in' type='checkbox'><label for='data-52629ab3-be8d-4af3-9654-7f68893ad575' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-16T12:00:00.000000000&#x27;, &#x27;2014-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-03-16T12:00:00.000000000&#x27;, &#x27;2014-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-05-16T12:00:00.000000000&#x27;, &#x27;2014-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2014-07-16T12:00:00.000000000&#x27;, &#x27;2014-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-09-16T00:00:00.000000000&#x27;, &#x27;2014-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-11-16T00:00:00.000000000&#x27;, &#x27;2014-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-16T12:00:00.000000000&#x27;, &#x27;2015-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-03-16T12:00:00.000000000&#x27;, &#x27;2015-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-05-16T12:00:00.000000000&#x27;, &#x27;2015-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-07-16T12:00:00.000000000&#x27;, &#x27;2015-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-09-16T00:00:00.000000000&#x27;, &#x27;2015-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2015-11-16T00:00:00.000000000&#x27;, &#x27;2015-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-01-16T12:00:00.000000000&#x27;, &#x27;2016-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-03-16T12:00:00.000000000&#x27;, &#x27;2016-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-05-16T12:00:00.000000000&#x27;, &#x27;2016-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2016-07-16T12:00:00.000000000&#x27;, &#x27;2016-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-09-16T00:00:00.000000000&#x27;, &#x27;2016-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-11-16T00:00:00.000000000&#x27;, &#x27;2016-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-16T12:00:00.000000000&#x27;, &#x27;2017-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-03-16T12:00:00.000000000&#x27;, &#x27;2017-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-05-16T12:00:00.000000000&#x27;, &#x27;2017-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-07-16T12:00:00.000000000&#x27;, &#x27;2017-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2017-09-16T00:00:00.000000000&#x27;, &#x27;2017-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2017-11-16T00:00:00.000000000&#x27;, &#x27;2017-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-01-16T12:00:00.000000000&#x27;, &#x27;2018-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-03-16T12:00:00.000000000&#x27;, &#x27;2018-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-05-16T12:00:00.000000000&#x27;, &#x27;2018-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2018-07-16T12:00:00.000000000&#x27;, &#x27;2018-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-09-16T00:00:00.000000000&#x27;, &#x27;2018-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-11-16T00:00:00.000000000&#x27;, &#x27;2018-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2019-01-16T12:00:00.000000000&#x27;, &#x27;2019-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-03-16T12:00:00.000000000&#x27;, &#x27;2019-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-05-16T12:00:00.000000000&#x27;, &#x27;2019-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-07-16T12:00:00.000000000&#x27;, &#x27;2019-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2019-09-16T00:00:00.000000000&#x27;, &#x27;2019-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-16T00:00:00.000000000&#x27;, &#x27;2019-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-01-16T12:00:00.000000000&#x27;, &#x27;2020-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-03-16T12:00:00.000000000&#x27;, &#x27;2020-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-05-16T12:00:00.000000000&#x27;, &#x27;2020-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2020-07-16T12:00:00.000000000&#x27;, &#x27;2020-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-09-16T00:00:00.000000000&#x27;, &#x27;2020-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2020-11-16T00:00:00.000000000&#x27;, &#x27;2020-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74dbc657-8252-49d3-96d7-0895afb1dae9' class='xr-section-summary-in' type='checkbox'  ><label for='section-74dbc657-8252-49d3-96d7-0895afb1dae9' class='xr-section-summary' >Data variables: <span>(17)</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>Temp</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.227 2.227 2.218 ... 22.77 22.63</div><input id='attrs-c3c0ff12-fe6d-4120-8b5e-986e5ca4b010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3c0ff12-fe6d-4120-8b5e-986e5ca4b010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef4c75d2-cfa8-4a80-bb7f-318fa587ed46' class='xr-var-data-in' type='checkbox'><label for='data-ef4c75d2-cfa8-4a80-bb7f-318fa587ed46' 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>units :</span></dt><dd>°C</dd></dl></div><div class='xr-var-data'><pre>array([[ 2.227 ,  2.227 ,  2.2175, ..., 21.06  , 20.7195, 21.416 ],\n",
       "       [ 2.226 ,  2.226 ,  2.214 , ..., 20.344 , 20.304 , 20.6425],\n",
       "       [ 2.226 ,  2.226 ,  2.22  , ..., 19.9775, 20.178 , 19.477 ],\n",
       "       ...,\n",
       "       [ 2.227 ,  2.227 ,  2.221 , ..., 26.0025, 25.816 , 25.944 ],\n",
       "       [ 2.223 ,  2.223 ,  2.214 , ..., 24.2445, 24.175 , 24.176 ],\n",
       "       [ 2.225 ,  2.225 ,  2.2185, ..., 22.7635, 22.765 , 22.633 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sal1</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.88 34.88 34.89 ... 36.56 36.65</div><input id='attrs-020b72fe-6d49-49ea-801f-c7e187219a82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-020b72fe-6d49-49ea-801f-c7e187219a82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f8c7a49-6d4d-47c9-b58c-f5687618feb8' class='xr-var-data-in' type='checkbox'><label for='data-4f8c7a49-6d4d-47c9-b58c-f5687618feb8' 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>units :</span></dt><dd>-</dd></dl></div><div class='xr-var-data'><pre>array([[34.883 , 34.883 , 34.8865, ..., 36.658 , 36.597 , 36.666 ],\n",
       "       [34.883 , 34.883 , 34.886 , ..., 36.6375, 36.627 , 36.664 ],\n",
       "       [34.882 , 34.882 , 34.8865, ..., 36.663 , 36.665 , 36.681 ],\n",
       "       ...,\n",
       "       [34.8825, 34.8825, 34.887 , ..., 36.516 , 36.5155, 36.6115],\n",
       "       [34.883 , 34.883 , 34.8865, ..., 36.5015, 36.533 , 36.5705],\n",
       "       [34.883 , 34.883 , 34.887 , ..., 36.629 , 36.56  , 36.6505]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO3</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>20.43 20.43 ... 0.02563 0.02563</div><input id='attrs-e803d26a-d6ab-4044-9833-b5e5787fb0ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e803d26a-d6ab-4044-9833-b5e5787fb0ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9095922-4a8d-4f57-ba8a-2183bca5cb03' class='xr-var-data-in' type='checkbox'><label for='data-f9095922-4a8d-4f57-ba8a-2183bca5cb03' 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>units :</span></dt><dd>mmolN/m3</dd></dl></div><div class='xr-var-data'><pre>array([[20.43251294, 20.43251294, 20.14384757, ...,  0.02564568,\n",
       "         0.02564576,  0.0256412 ],\n",
       "       [20.1969983 , 20.1969983 , 19.7673317 , ...,  0.04104026,\n",
       "         0.05129828,  0.05129295],\n",
       "       [20.00333526, 20.00333526, 20.1020033 , ...,  0.0513062 ,\n",
       "         0.05130142,  0.18984381],\n",
       "       ...,\n",
       "       [20.04520897, 20.04520897, 19.98695933, ...,  0.02560657,\n",
       "         0.02560694,  0.02560668],\n",
       "       [20.32785253, 20.32785253, 19.82486298, ...,  0.02561979,\n",
       "         0.02561983,  0.02561946],\n",
       "       [20.2807417 , 20.2807417 , 19.97650904, ...,  0.02563312,\n",
       "         0.02563072,  0.0256323 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NO2</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01047 0.01047 ... 0.00769</div><input id='attrs-1f15813e-548f-4cf2-a16b-29438090144b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f15813e-548f-4cf2-a16b-29438090144b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa407820-59d6-41d4-9327-e8b8a6f0a3a5' class='xr-var-data-in' type='checkbox'><label for='data-fa407820-59d6-41d4-9327-e8b8a6f0a3a5' 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>units :</span></dt><dd>mmolN/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.01046748, 0.01046748, 0.0104589 , ..., 0.02513277, 0.02974908,\n",
       "        0.02512838],\n",
       "       [0.01046748, 0.01046748, 0.00784418, ..., 0.02975419, 0.029753  ,\n",
       "        0.02051718],\n",
       "       [0.00523374, 0.00523374, 0.00522945, ..., 0.01539186, 0.02052057,\n",
       "        0.0297593 ],\n",
       "       ...,\n",
       "       [0.01046747, 0.01046747, 0.0104589 , ..., 0.00512131, 0.00512139,\n",
       "        0.00512134],\n",
       "       [0.01046748, 0.01046748, 0.00522945, ..., 0.00512396, 0.00512397,\n",
       "        0.00512389],\n",
       "       [0.01046748, 0.01046748,        nan, ..., 0.00768994, 0.00512614,\n",
       "        0.00768969]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Chl</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 0.1251 0.1097</div><input id='attrs-f0b451c0-13de-4d0a-b9f5-30f157dac7ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0b451c0-13de-4d0a-b9f5-30f157dac7ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6acb89b0-607f-4fab-b2a8-b1be3d9d88ac' class='xr-var-data-in' type='checkbox'><label for='data-6acb89b0-607f-4fab-b2a8-b1be3d9d88ac' 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>units :</span></dt><dd>mg/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.        ,        nan,        nan, ..., 0.10976351, 0.22978601,\n",
       "        0.10974433],\n",
       "       [0.        ,        nan,        nan, ..., 0.30985395, 0.28008863,\n",
       "        0.2698009 ],\n",
       "       [0.        ,        nan,        nan, ..., 0.28474942, 0.25035095,\n",
       "        0.29964536],\n",
       "       ...,\n",
       "       [0.        ,        nan,        nan, ..., 0.06504068, 0.06043239,\n",
       "        0.06043177],\n",
       "       [0.        ,        nan,        nan, ..., 0.10042959, 0.11990082,\n",
       "        0.10042827],\n",
       "       [0.        ,        nan,        nan, ..., 0.12508961, 0.12507789,\n",
       "        0.10970626]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PO41</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.34 1.34 ... 0.005126 0.005126</div><input id='attrs-10e7a880-789d-47ac-85f4-ae27002eb9a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10e7a880-789d-47ac-85f4-ae27002eb9a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffeb2e55-56e2-447d-8092-91fc3537aae2' class='xr-var-data-in' type='checkbox'><label for='data-ffeb2e55-56e2-447d-8092-91fc3537aae2' 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>units :</span></dt><dd>mmolP/m3</dd></dl></div><div class='xr-var-data'><pre>array([[1.33983691, 1.33983691, 1.32828071, ..., 0.00512914, 0.00512915,\n",
       "        0.00512824],\n",
       "       [1.3189022 , 1.3189022 , 1.2969043 , ..., 0.00513003, 0.00512983,\n",
       "        0.00512929],\n",
       "       [1.37647231, 1.37647231, 1.37534518, ..., 0.00513062, 0.00513014,\n",
       "        0.00513091],\n",
       "       ...,\n",
       "       [1.33983642, 1.33983642, 1.30736259, ..., 0.00512131, 0.00512139,\n",
       "        0.00512134],\n",
       "       [1.44451269, 1.44451269, 1.41718224, ..., 0.00512396, 0.00512397,\n",
       "        0.00512389],\n",
       "       [1.44451218, 1.44451218, 1.45378783, ..., 0.00512662, 0.00512614,\n",
       "        0.00512646]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>O2</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>274.2 274.2 276.2 ... 217.7 219.2</div><input id='attrs-01ac9016-6fdd-43fb-9203-df0014cf965e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01ac9016-6fdd-43fb-9203-df0014cf965e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21a00a8d-7716-4dee-bbbe-160e2735e516' class='xr-var-data-in' type='checkbox'><label for='data-21a00a8d-7716-4dee-bbbe-160e2735e516' 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>units :</span></dt><dd>mmolO2/m3</dd></dl></div><div class='xr-var-data'><pre>array([[274.24786835, 274.24786835, 276.16733914, ..., 224.14324041,\n",
       "        224.24652776, 222.66817792],\n",
       "       [274.50960369, 274.50960369, 275.69675321, ..., 228.38903731,\n",
       "        228.48255476, 227.63809521],\n",
       "       [274.14304051, 274.14304051, 275.6965697 , ..., 231.23705389,\n",
       "        232.44675024, 229.5570769 ],\n",
       "       ...,\n",
       "       [274.19543022, 274.19543022, 276.32415779, ..., 209.25687619,\n",
       "        209.36238218, 209.05295607],\n",
       "       [273.88170001, 273.88170001, 275.80144388, ..., 213.87402781,\n",
       "        214.0793195 , 213.10264294],\n",
       "       [274.09095295, 274.09095295, 275.69674255, ..., 218.85555676,\n",
       "        217.70729474, 219.20745186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.739e+04 2.739e+04 ... 2.532e+04</div><input id='attrs-c6eb472f-cbb9-4cc9-8c0b-9b07606f37cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6eb472f-cbb9-4cc9-8c0b-9b07606f37cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0319280-fd08-4fd8-b0f5-3bc5ea590822' class='xr-var-data-in' type='checkbox'><label for='data-b0319280-fd08-4fd8-b0f5-3bc5ea590822' 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>units :</span></dt><dd>mmolC/m3</dd></dl></div><div class='xr-var-data'><pre>array([[27392.96570793, 27392.96570793, 27323.46626799, ...,\n",
       "        25535.71100613, 25461.93145518, 25531.25020414],\n",
       "       [27382.92176358, 27382.92176358, 27318.45240714, ...,\n",
       "        25666.98792831, 25667.8143305 , 25692.84192019],\n",
       "       [27382.27359246, 27382.27359246, 27316.55162151, ...,\n",
       "        25631.14210954, 25575.811711  , 25711.41879601],\n",
       "       ...,\n",
       "       [27372.85809648, 27372.85809648, 27336.63806607, ...,\n",
       "        25156.30240803, 25154.2141957 , 25180.9970267 ],\n",
       "       [27381.68016174, 27381.68016174, 27334.15083597, ...,\n",
       "        25225.8625725 , 25240.04400064, 25247.66739478],\n",
       "       [27364.0851326 , 27364.0851326 , 27291.46737503, ...,\n",
       "        25315.88198463, 25309.81862577, 25317.53792712]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Alk</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.449e+03 2.449e+03 ... 2.455e+03</div><input id='attrs-fddf0e41-20a9-4913-ac4a-4da0abd392af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fddf0e41-20a9-4913-ac4a-4da0abd392af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9288616-9dfe-41ed-b945-a10cb7a6e0f5' class='xr-var-data-in' type='checkbox'><label for='data-c9288616-9dfe-41ed-b945-a10cb7a6e0f5' 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>units :</span></dt><dd>mmol/m3</dd></dl></div><div class='xr-var-data'><pre>array([[2449.23234638, 2449.23234638, 2439.43458363, ..., 2463.88302963,\n",
       "        2456.9664164 , 2461.76029776],\n",
       "       [2441.95788158, 2441.95788158, 2439.64433437, ..., 2457.49066556,\n",
       "        2457.70076299, 2463.24115506],\n",
       "       [2446.40476183, 2446.40476183, 2443.40791401, ..., 2461.87681252,\n",
       "        2462.87874317, 2462.17153541],\n",
       "       ...,\n",
       "       [2443.1079753 , 2443.1079753 , 2440.47990081, ..., 2443.58360022,\n",
       "        2445.77052922, 2451.63499753],\n",
       "       [2443.84332131, 2443.84332131, 2442.10307691, ..., 2454.78603837,\n",
       "        2454.99481952, 2453.31919792],\n",
       "       [2445.83127996, 2445.83127996, 2438.91211665, ..., 2457.4982358 ,\n",
       "        2456.44774283, 2454.8568849 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Si1</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.16 37.16 35.39 ... 0.8561 0.7331</div><input id='attrs-8e09e15a-703b-48e4-bc9e-f3480fbc00d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e09e15a-703b-48e4-bc9e-f3480fbc00d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4ed7a22-db1a-4cf5-a13a-710ac846446b' class='xr-var-data-in' type='checkbox'><label for='data-b4ed7a22-db1a-4cf5-a13a-710ac846446b' 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>units :</span></dt><dd>mmolSi/m3</dd></dl></div><div class='xr-var-data'><pre>array([[37.16477315, 37.16477315, 35.39292845, ...,  0.86169484,\n",
       "         0.84118094,  0.90257023],\n",
       "       [33.6895771 , 33.6895771 , 33.60446389, ...,  0.80028504,\n",
       "         0.76947425,  0.83094573],\n",
       "       [34.77816923, 34.77816923, 34.42023562, ...,  0.87220544,\n",
       "         0.81569263,  0.92869537],\n",
       "       ...,\n",
       "       [36.50007502, 36.50007502, 33.91821513, ...,  0.8603807 ,\n",
       "         0.85015057,  0.86038453],\n",
       "       [36.64665896, 36.64665896, 35.70671708, ...,  0.81983336,\n",
       "         0.8095867 ,  0.91205267],\n",
       "       [36.21224563, 36.21224563, 34.0332777 , ...,  0.81513313,\n",
       "         0.85606589,  0.73308385]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POC</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 23.12 24.39 22.62</div><input id='attrs-165ce606-a481-4e15-9e3a-85bbceb9181c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-165ce606-a481-4e15-9e3a-85bbceb9181c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb67c4ce-ef0b-47c5-9c72-05795ae643e6' class='xr-var-data-in' type='checkbox'><label for='data-bb67c4ce-ef0b-47c5-9c72-05795ae643e6' 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>units :</span></dt><dd>mmolC/m3</dd></dl></div><div class='xr-var-data'><pre>array([[ 0.        ,         nan,         nan, ..., 25.6764545 ,\n",
       "        24.05572313, 24.51298688],\n",
       "       [ 0.        ,         nan,         nan, ..., 28.81539134,\n",
       "        31.58948299, 25.91319642],\n",
       "       [ 0.        ,         nan,         nan, ..., 29.57802564,\n",
       "        27.86693329, 32.49920709],\n",
       "       ...,\n",
       "       [ 0.        ,         nan,         nan, ..., 21.91410116,\n",
       "        21.90930213, 24.47998849],\n",
       "       [ 0.        ,         nan,         nan, ..., 28.00755716,\n",
       "        23.38065904, 22.51950266],\n",
       "       [ 0.        ,         nan,         nan, ..., 23.11594531,\n",
       "        24.39018857, 22.61794382]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PON</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 0.3325 0.2838</div><input id='attrs-44f9f624-bff8-49d7-a988-13f597fbff5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44f9f624-bff8-49d7-a988-13f597fbff5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61ddce96-ad1d-4550-a2f0-00ee2e6b7c72' class='xr-var-data-in' type='checkbox'><label for='data-61ddce96-ad1d-4550-a2f0-00ee2e6b7c72' 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>units :</span></dt><dd>mmolN/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.        ,        nan,        nan, ..., 0.34731578, 0.32386932,\n",
       "        0.29377489],\n",
       "       [0.        ,        nan,        nan, ..., 0.37632451, 0.35542382,\n",
       "        0.33780069],\n",
       "       [0.        ,        nan,        nan, ..., 0.41154904, 0.37963053,\n",
       "        0.45225339],\n",
       "       ...,\n",
       "       [0.        ,        nan,        nan, ..., 0.25862634, 0.26484897,\n",
       "        0.24582415],\n",
       "       [0.        ,        nan,        nan, ..., 0.3089015 , 0.28657613,\n",
       "        0.26790632],\n",
       "       [0.        ,        nan,        nan, ..., 0.30320316, 0.33246699,\n",
       "        0.28378621]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>POP</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 0.007177 0.01025</div><input id='attrs-63b81a68-5441-4e5d-82e0-a69bc792c809' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b81a68-5441-4e5d-82e0-a69bc792c809' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfde7bbe-6984-4cd7-8134-e9d62c82d4e0' class='xr-var-data-in' type='checkbox'><label for='data-bfde7bbe-6984-4cd7-8134-e9d62c82d4e0' 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>units :</span></dt><dd>mmolP/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.        ,        nan,        nan, ..., 0.01743906, 0.01846495,\n",
       "        0.0107693 ],\n",
       "       [0.        ,        nan,        nan, ..., 0.01333808, 0.01333755,\n",
       "        0.01333617],\n",
       "       [0.        ,        nan,        nan, ..., 0.01282655, 0.01539043,\n",
       "        0.01026183],\n",
       "       ...,\n",
       "       [0.        ,        nan,        nan, ..., 0.00768197, 0.00716994,\n",
       "        0.0061456 ],\n",
       "       [0.        ,        nan,        nan, ..., 0.00819833, 0.00819835,\n",
       "        0.00871062],\n",
       "       [0.        ,        nan,        nan, ..., 0.00717727, 0.0071766 ,\n",
       "        0.01025292]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOC</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>530.3 nan nan ... 804.9 808.5 827.6</div><input id='attrs-3fb16db4-0615-4f0c-ac2e-7bfc28def7dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fb16db4-0615-4f0c-ac2e-7bfc28def7dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56707984-74d2-4ac0-9a62-a8fe526af5ae' class='xr-var-data-in' type='checkbox'><label for='data-56707984-74d2-4ac0-9a62-a8fe526af5ae' 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>units :</span></dt><dd>mg C/m3</dd></dl></div><div class='xr-var-data'><pre>array([[530.30568644,          nan,          nan, ..., 772.00676629,\n",
       "        789.63295855, 731.18444974],\n",
       "       [532.99113139,          nan,          nan, ..., 756.69515206,\n",
       "        742.19382549, 727.47759728],\n",
       "       [533.12155919,          nan,          nan, ..., 735.08961386,\n",
       "        745.34812289, 727.28648688],\n",
       "       ...,\n",
       "       [532.81533818,          nan,          nan, ..., 802.82225082,\n",
       "        805.2974486 , 801.48916278],\n",
       "       [537.18717357,          nan,          nan, ..., 802.0737199 ,\n",
       "        811.00604243, 804.47656782],\n",
       "       [542.68060053,          nan,          nan, ..., 804.93628067,\n",
       "        808.50553192, 827.55426892]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DON</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 3.978 3.845 3.587</div><input id='attrs-8a7495d3-58d3-4b5f-8b98-93e2567c4197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a7495d3-58d3-4b5f-8b98-93e2567c4197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8cae2fb-e6cc-4329-bde8-6898a3664793' class='xr-var-data-in' type='checkbox'><label for='data-c8cae2fb-e6cc-4329-bde8-6898a3664793' 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>units :</span></dt><dd>mmolN/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.        ,        nan,        nan, ..., 4.03809545, 3.75380657,\n",
       "        3.57804626],\n",
       "       [0.        ,        nan,        nan, ..., 4.09706364, 4.15882513,\n",
       "        3.56046322],\n",
       "       [0.        ,        nan,        nan, ..., 3.84686576, 3.77578478,\n",
       "        3.77048855],\n",
       "       ...,\n",
       "       [0.        ,        nan,        nan, ..., 4.22252311, 4.11393862,\n",
       "        4.03049183],\n",
       "       [0.        ,        nan,        nan, ..., 3.86712468, 4.19689454,\n",
       "        4.01054299],\n",
       "       [0.        ,        nan,        nan, ..., 3.97752745, 3.84533958,\n",
       "        3.58669149]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DOP</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 nan nan ... 0.06254 0.06562</div><input id='attrs-9ca6a5e3-ace8-42dc-99c5-9c86ea18ba96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ca6a5e3-ace8-42dc-99c5-9c86ea18ba96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea808862-126c-44e9-b284-4ab44201f6f8' class='xr-var-data-in' type='checkbox'><label for='data-ea808862-126c-44e9-b284-4ab44201f6f8' 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>units :</span></dt><dd>mmolP/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.        ,        nan,        nan, ..., 0.03282647, 0.03282657,\n",
       "        0.02871814],\n",
       "       [0.        ,        nan,        nan, ..., 0.06463841, 0.06463584,\n",
       "        0.05847396],\n",
       "       [0.        ,        nan,        nan, ..., 0.09748178, 0.09234256,\n",
       "        0.10159209],\n",
       "       ...,\n",
       "       [0.        ,        nan,        nan, ..., 0.0440433 , 0.05018961,\n",
       "        0.04506776],\n",
       "       [0.        ,        nan,        nan, ..., 0.06661146, 0.06661156,\n",
       "        0.05687519],\n",
       "       [0.        ,        nan,        nan, ..., 0.07382338, 0.06253895,\n",
       "        0.06561869]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TP</span></div><div class='xr-var-dims'>(time, depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4074 nan nan ... 0.07484 0.081</div><input id='attrs-d53c6fd5-c965-4576-bca0-091823178bd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d53c6fd5-c965-4576-bca0-091823178bd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87772526-819a-4129-90f1-a4ed91dd1072' class='xr-var-data-in' type='checkbox'><label for='data-87772526-819a-4129-90f1-a4ed91dd1072' 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>units :</span></dt><dd>mmolP/m3</dd></dl></div><div class='xr-var-data'><pre>array([[0.40737928,        nan,        nan, ..., 0.05539467, 0.05642067,\n",
       "        0.04461569],\n",
       "       [0.46450588,        nan,        nan, ..., 0.08310652, 0.08310322,\n",
       "        0.07693942],\n",
       "       [0.41461087,        nan,        nan, ..., 0.11543896, 0.11286313,\n",
       "        0.11698483],\n",
       "       ...,\n",
       "       [0.45780189,        nan,        nan, ..., 0.05684658, 0.06248095,\n",
       "        0.0563347 ],\n",
       "       [0.45878914,        nan,        nan, ..., 0.07993375, 0.07993388,\n",
       "        0.0707097 ],\n",
       "       [0.48406369,        nan,        nan, ..., 0.08612727, 0.07484169,\n",
       "        0.08099808]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-265b11a8-0b2d-42b3-8a3e-0a80c2ec2ba3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-265b11a8-0b2d-42b3-8a3e-0a80c2ec2ba3' 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:  (depth: 39, time: 84)\n",
       "Coordinates:\n",
       "  * depth    (depth) float64 -1.2e+04 -4.2e+03 -4e+03 ... -20.0 -10.0 -0.0\n",
       "  * time     (time) datetime64[ns] 2014-01-16T12:00:00 ... 2020-12-16T12:00:00\n",
       "Data variables:\n",
       "    Temp     (time, depth) float64 2.227 2.227 2.218 2.237 ... 22.76 22.77 22.63\n",
       "    Sal1     (time, depth) float64 34.88 34.88 34.89 34.89 ... 36.63 36.56 36.65\n",
       "    NO3      (time, depth) float64 20.43 20.43 20.14 ... 0.02563 0.02563 0.02563\n",
       "    NO2      (time, depth) float64 0.01047 0.01047 0.01046 ... 0.005126 0.00769\n",
       "    Chl      (time, depth) float64 0.0 nan nan nan ... 0.1251 0.1251 0.1097\n",
       "    PO41     (time, depth) float64 1.34 1.34 1.328 ... 0.005126 0.005126\n",
       "    O2       (time, depth) float64 274.2 274.2 276.2 277.5 ... 218.9 217.7 219.2\n",
       "    CO2      (time, depth) float64 2.739e+04 2.739e+04 ... 2.531e+04 2.532e+04\n",
       "    Alk      (time, depth) float64 2.449e+03 2.449e+03 ... 2.456e+03 2.455e+03\n",
       "    Si1      (time, depth) float64 37.16 37.16 35.39 ... 0.8151 0.8561 0.7331\n",
       "    POC      (time, depth) float64 0.0 nan nan nan ... 23.39 23.12 24.39 22.62\n",
       "    PON      (time, depth) float64 0.0 nan nan nan ... 0.3032 0.3325 0.2838\n",
       "    POP      (time, depth) float64 0.0 nan nan nan ... 0.007177 0.007177 0.01025\n",
       "    DOC      (time, depth) float64 530.3 nan nan nan ... 791.3 804.9 808.5 827.6\n",
       "    DON      (time, depth) float64 0.0 nan nan nan ... 3.582 3.978 3.845 3.587\n",
       "    DOP      (time, depth) float64 0.0 nan nan nan ... 0.07382 0.06254 0.06562\n",
       "    TP       (time, depth) float64 0.4074 nan nan nan ... 0.08613 0.07484 0.081"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xrN=gotm_clim_load(varlist,filedir,units)\n",
    "\n",
    "xrN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "51399831",
   "metadata": {
    "hideCode": false,
    "hideOutput": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x2160 with 34 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "###########\n",
    "ncolplot=3\n",
    "ylim =-300\n",
    "###########\n",
    "\n",
    "nrowplot=int(np.ceil(len(varlist)/ncolplot))\n",
    "\n",
    "f=plt.figure(figsize=(ncolplot*5,nrowplot*5))\n",
    "for i,v in enumerate(varlist) : \n",
    "    ax=f.add_subplot(nrowplot,ncolplot,i+1)\n",
    "    xrN[v].plot(x='time',y='depth', ylim=[ylim,0], xlim =[xrN.time.values[0],xrN.time.values[24]], ax=ax, cmap='YlGnBu_r',vmin=vmin[v],vmax=vmax[v])\n",
    "    ax.set_title(v, fontsize=15)\n",
    "f.tight_layout()\n",
    "\n",
    "plt.savefig(filedir+'BatsClims.png', facecolor='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8798e9f1",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "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": [
    "# Some examples\n",
    "_=xrN.NO3.plot.contourf(x='time',y='depth', ylim=[-300,0], vmax=2.5, levels=20, cmap='YlGnBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4debaebc",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "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": [
    "# Some examples\n",
    "_=xrN.NO3.plot(x='time',y='depth', ylim=[-2000,0], vmax=15, cmap='YlGnBu_r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c0be3a95",
   "metadata": {},
   "outputs": [],
   "source": [
    "#xrN['NOX']=xrN['NO3']+xrN['NO2']\n",
    "\n",
    "# Netcdf export\n",
    "#xrN.to_netcdf(filedir+'BATS_CLIM.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2398712-86b0-4960-896e-ca02239fabf5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81c67891-523d-4e76-a6cf-b353ba466a5a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Hide code",
  "hide_code_all_hidden": true,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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