{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import netCDF4 as nc\n",
    "import datetime as dt\n",
    "import subprocess\n",
    "import requests\n",
    "import matplotlib.pyplot as plt\n",
    "import cmocean\n",
    "import numpy as np\n",
    "import os\n",
    "import glob\n",
    "import dateutil as dutil\n",
    "from salishsea_tools import viz_tools\n",
    "import pickle\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "recalc=True #False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "t0=dt.datetime(2015,1,1) # \n",
    "if recalc:\n",
    "    with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as fm:\n",
    "        tmask=np.copy(fm.variables['tmask'])\n",
    "        umask=np.copy(fm.variables['umask'])\n",
    "        vmask=np.copy(fm.variables['vmask'])\n",
    "        navlon=np.copy(fm.variables['nav_lon'])\n",
    "        navlat=np.copy(fm.variables['nav_lat'])\n",
    "        e3t_0=np.copy(fm.variables['e3t_0'])\n",
    "        e3u_0=np.copy(fm.variables['e3u_0'])\n",
    "        e3v_0=np.copy(fm.variables['e3v_0'])\n",
    "        e1t=np.copy(fm.variables['e1t'])\n",
    "        e2t=np.copy(fm.variables['e2t'])\n",
    "        e1v=np.copy(fm.variables['e1v'])\n",
    "        e2u=np.copy(fm.variables['e2u'])\n",
    "        A=fm.variables['e1t'][0,:,:]*fm.variables['e2t'][0,:,:]*tmask[0,0,:,:]\n",
    "\n",
    "    #te=dt.datetime(2016,12,1)# last start date of runfnum=18\n",
    "    stm=np.shape(tmask)\n",
    "    SiN=1.8\n",
    "    nlen= 73 # 2 yrs210\n",
    "    #nlen=58#100\n",
    "    dlist=[t0+dt.timedelta(days=ii*10) for ii in range(0,nlen)]\n",
    "\n",
    "    #sdir0='/results/SalishSea/nowcast-green/'\n",
    "    sdir1='/data/sallen/results/MEOPAR/202007/202007F/'\n",
    "    #sdir3='/data/eolson/MEOPAR/SS36runs/CedarRuns/spring2015_HCMZ/'\n",
    "\n",
    "    tmaskC=np.copy(tmask)\n",
    "    tmaskC[:,:,370:490,:12]=0\n",
    "    tmaskC[:,:,887:,30:70]=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "if recalc:\n",
    "    tlist=dlist\n",
    "    SiGlobalTot=dict()\n",
    "    SiTot=dict()\n",
    "    BSiTot=dict()\n",
    "    DiatTot=dict()\n",
    "    changeSiGlobalTot=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumSi=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumBSi=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiat=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumSi[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['silicon'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumBSi[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['biogenic_silicon'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiat[ind,:,:]=SiN*1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['diatoms'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        SiGlobalTot[idir]=np.sum(np.sum(sumSi+sumBSi+sumDiat,2),1)\n",
    "        SiTot[idir]=np.sum(np.sum(sumSi,2),1)\n",
    "        BSiTot[idir]=np.sum(np.sum(sumBSi,2),1)\n",
    "        DiatTot[idir]=np.sum(np.sum(sumDiat,2),1)\n",
    "        changeSiGlobalTot[idir]=[SiGlobalTot[idir][ii+1]-SiGlobalTot[idir][ii] for ii in range(0,len(tlist)-1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "klim=20\n",
    "if recalc:\n",
    "    tlist=dlist\n",
    "    BSiTotS=dict()\n",
    "    DiatTotS=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumBSiS=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiatS=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumBSiS[ind,:,:]=1e-3*np.sum(tmaskC[0,:klim,:,:]*Vol[0,:klim,:,:]*f.variables['biogenic_silicon'][0,:klim,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiatS[ind,:,:]=SiN*1e-3*np.sum(tmaskC[0,:klim,:,:]*Vol[0,:klim,:,:]*f.variables['diatoms'][0,:klim,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        BSiTotS[idir]=np.sum(np.sum(sumBSiS,2),1)\n",
    "        DiatTotS[idir]=np.sum(np.sum(sumDiatS,2),1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "#test=np.sum(np.sum((sumSi[-1,:,:]+np.sum(1e-3*7*tmaskC[0,:,:,:]*Vol[0,:,:,:],0))+sumBSi[-1,:,:]+sumDiat[-1,:,:],1),0)\n",
    "#test2=np.sum(np.sum(sumSi[-1,:,:]+sumBSi[-1,:,:]+sumDiat[-1,:,:],1),0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    fig,ax=plt.subplots(1,1,figsize=(6,5))\n",
    "    ax.plot(SiGlobalTot[sdir1]-SiGlobalTot[sdir1][0],'b-')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.set_ylabel('Difference in Total Si')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    ## plots related to sinking\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot(BSiTot[sdir1],'r-',label='bSi')\n",
    "    ax.plot(DiatTot[sdir1],'b-',label='diatoms')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    ## plots related to sinking\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot(BSiTotS[sdir1],'r-',label='bSi')\n",
    "    ax.plot(DiatTotS[sdir1],'b-',label='diatoms')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std err total bsi is: 1627458027.1280026\n",
      "  std err 20m bsi is: 154378932.65563294\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    fig,ax=plt.subplots(1,1,figsize=(18,5))\n",
    "    ax.plot((BSiTot[sdir1]-np.mean(BSiTot[sdir1]))/np.std(BSiTot[sdir1]),'r-',label='bSi all')\n",
    "    ax.plot((BSiTotS[sdir1]-np.mean(BSiTotS[sdir1]))/np.std(BSiTotS[sdir1]),'r--',label='bSi surf')\n",
    "    ax.plot((BSiTot[sdir1])/np.std(BSiTot[sdir1]),'r:',label='bSi norm')\n",
    "    ax.plot(np.tanh(.5*(BSiTot[sdir1])/np.std(BSiTot[sdir1])),'b-',label='limiter')\n",
    "    ax.plot(np.tanh(.5*(BSiTot[sdir1])/1000000000),'g-',label='limiter2')\n",
    "    ax.plot(np.tanh(.5*(BSiTotS[sdir1])/200000000),'c-',label='limiter2')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.legend()\n",
    "    print('std err total bsi is:',np.std(BSiTot[sdir1]))\n",
    "    print('  std err 20m bsi is:',np.std(BSiTotS[sdir1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for bSi sinking rate, use:\n",
    "# wmin+tanh(.5*bSi_20_sum/200000000)*(wmax-wmin)\n",
    "# need to use cvol = e3t* e1t* e2t, so update code above..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# copy restart and add 7 to Si old and new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## repeat for N"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150131-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150210-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150220-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150302-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150312-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150322-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150401-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150411-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150421-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150501-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150511-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150521-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150531-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150610-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150620-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150630-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150710-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150720-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150730-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150809-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150819-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150829-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150908-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150918-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20150928-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151008-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151018-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151028-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151107-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151117-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151127-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151207-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151217-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20151227-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160106-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160116-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160126-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160205-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160215-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160225-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160306-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160316-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160326-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160405-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160415-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160425-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160505-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160515-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160525-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160604-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160614-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160624-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160704-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160714-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160724-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160803-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160813-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160823-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160902-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160912-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20160922-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161002-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161012-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161022-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161101-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161111-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161121-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161201-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161211-*.nc\n",
      "/data/sallen/results/MEOPAR/202007/202007F/SalishSea_1d_????????_????????_ptrc_T_20161221-*.nc\n"
     ]
    }
   ],
   "source": [
    "if recalc:\n",
    "    tlist=dlist\n",
    "    NGlobalTot=dict()\n",
    "    VolTot=dict()\n",
    "    NO3Tot=dict()\n",
    "    NH4Tot=dict()\n",
    "    PONTot=dict()\n",
    "    DONTot=dict()\n",
    "    DiatTot=dict()\n",
    "    MyriTot=dict()\n",
    "    NanoTot=dict()\n",
    "    MiZoTot=dict()\n",
    "    changeNGlobalTot=dict()\n",
    "    for idir in (sdir1,):\n",
    "        fformat1='%d%b%y/'\n",
    "        if idir.startswith('/data/eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "            fformatT='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_*_ptrc_T_%Y%m%d-*.nc'\n",
    "        #elif idir==sdir1:\n",
    "        #    fformatT='SalishSea_1h_%Y%m%d_%Y%m%d_ptrc_T.nc'\n",
    "        #    fformatP='SalishSea_1h_%Y%m%d_%Y%m%d_carp_T.nc'\n",
    "        elif idir.startswith('/data/sallen/results/MEOPAR/202007/'):\n",
    "            fformatT='SalishSea_1d_????????_????????_ptrc_T_%Y%m%d-*.nc'\n",
    "            fformatP='SalishSea_1d_????????_????????_carp_T_%Y%m%d-*.nc'\n",
    "        else:\n",
    "            raise Exception('Name Error')\n",
    "        sumNO3=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumVol=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumNH4=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumPON=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDON=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumDiat=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumMyri=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumNano=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        sumMiZo=np.zeros((len(tlist),stm[2],stm[3]))\n",
    "        ind=-1\n",
    "        for idt0 in tlist:\n",
    "            ind=ind+1\n",
    "            cdir=idt0.strftime(fformat1).lower()\n",
    "            iffT=idt0.strftime(fformatT)\n",
    "            iffP=idt0.strftime(fformatP)\n",
    "            if idir.startswith('/data/') and not ('link' in idir): #eolson/MEOPAR/SS36runs/CedarRuns/'):\n",
    "                sffT=idir+iffT\n",
    "                sffP=idir+iffP\n",
    "            elif idir.startswith('/results/') or idir.startswith('/results2/') or ('link' in idir):\n",
    "                sffT=idir+cdir+iffT\n",
    "                sffP=idir+cdir+iffP\n",
    "            print(sffT)\n",
    "            f=nc.Dataset(glob.glob(sffT)[0])\n",
    "            fP=nc.Dataset(glob.glob(sffP)[0])\n",
    "            #if idir==sdir0:\n",
    "            #    e3t=np.expand_dims((1+fP.variables['sossheig'][0,:,:]/np.sum(e3t_0*tmask,1)),0)*e3t_0\n",
    "            if idir==sdir1:\n",
    "                e3t=fP.variables['e3t'][:2,:,:,:]\n",
    "            Vol=A*e3t\n",
    "            sumVol[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumNO3[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['nitrate'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumNH4[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['ammonium'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumPON[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['particulate_organic_nitrogen'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDON[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['dissolved_organic_nitrogen'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumDiat[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['diatoms'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumMyri[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['ciliates'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            sumMiZo[ind,:,:]=1e-3*np.sum(tmaskC[0,:,:,:]*Vol[0,:,:,:]*f.variables['microzooplankton'][0,:,:,:],0) #mmol/m3*m3*10^-3=mol\n",
    "            f.close()\n",
    "            fP.close()\n",
    "        NGlobalTot[idir]=np.sum(np.sum(sumNO3+sumNH4+sumPON+sumDON+sumDiat+sumMyri+sumNano+sumMiZo,2),1)\n",
    "        VolTot[idir]=np.sum(np.sum(sumVol,2),1)\n",
    "        NO3Tot[idir]=np.sum(np.sum(sumNO3,2),1)\n",
    "        NH4Tot[idir]=np.sum(np.sum(sumNH4,2),1)\n",
    "        PONTot[idir]=np.sum(np.sum(sumPON,2),1)\n",
    "        DONTot[idir]=np.sum(np.sum(sumDON,2),1)\n",
    "        DiatTot[idir]=np.sum(np.sum(sumDiat,2),1)\n",
    "        MyriTot[idir]=np.sum(np.sum(sumMyri,2),1)\n",
    "        NanoTot[idir]=np.sum(np.sum(sumNano,2),1)\n",
    "        MiZoTot[idir]=np.sum(np.sum(sumMiZo,2),1)\n",
    "        changeNGlobalTot[idir]=[NGlobalTot[idir][ii+1]-NGlobalTot[idir][ii] for ii in range(0,len(tlist)-1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    #plt.plot(SiGlobalTot[sdir0]-SiGlobalTot[sdir0][0],'r-')\n",
    "    #plt.plot(SiGlobalTot[sdir3]-SiGlobalTot[sdir3][0],'g-')\n",
    "    #plt.plot(40,test-SiGlobalTot[sdir1][0],'r*')\n",
    "    #plt.plot(40,test2-SiGlobalTot[sdir1][0],'k*')\n",
    "    fig,ax=plt.subplots(1,1,figsize=(6,5))\n",
    "    ax.plot(NGlobalTot[sdir1]-NGlobalTot[sdir1][0],'r-')\n",
    "    ax.set_xlabel('10-day intervals since '+t0.strftime('%b $d $Y'))\n",
    "    ax.set_ylabel('Difference in Total N')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if recalc:\n",
    "    plt.plot(SiGlobalTot[sdir1]-SiGlobalTot[sdir1][0],'b-')\n",
    "    plt.plot(NGlobalTot[sdir1]-NGlobalTot[sdir1][0],'r-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "if recalc:\n",
    "    pickle.dump(SiGlobalTot[sdir1],open('SiGlobalTot_202007F.pkl','wb'))\n",
    "    pickle.dump(NGlobalTot[sdir1],open('NGlobalTot_202007F.pkl','wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "SiGlobalTot7F=pickle.load(open('SiGlobalTot_202007F.pkl','rb'))\n",
    "NGlobalTot7F=pickle.load(open('NGlobalTot_202007F.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "SiGlobalTotHC=pickle.load(open('SiGlobalTot_201905_1d.pkl','rb'))\n",
    "NGlobalTotHC=pickle.load(open('NGlobalTot_201905_1d.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "SiGlobalTotHC18=pickle.load(open('SiGlobalTot_HCDec.pkl','rb'))\n",
    "NGlobalTotHC18=pickle.load(open('NGlobalTot_HCDec.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "SiGlobalTotHC1=pickle.load(open('SiGlobalTot_HC19spin1.pkl','rb'))\n",
    "NGlobalTotHC1=pickle.load(open('NGlobalTot_HC19spin1.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "#SiGlobalTotT3=pickle.load(open('SiGlobalTotT3.pkl','rb'))\n",
    "#NGlobalTotT3=pickle.load(open('NGlobalTotT3.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#SiGlobalTotZ1=pickle.load(open('SiGlobalTotZ1.pkl','rb'))\n",
    "#NGlobalTotZ1=pickle.load(open('NGlobalTotZ1.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#tit='spring2015_Z3'\n",
    "#SiGlobalTotZ3=pickle.load(open('SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "#NGlobalTotZ3=pickle.load(open('NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "bdir='/data/eolson/MEOPAR/SS36runs/CedarRuns/'"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Ztest'\n",
    "SiGlobalTotZtest=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZtest=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Z4'\n",
    "SiGlobalTotZ4=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ4=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring15spun_Z5'\n",
    "SiGlobalTotZ5=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ5=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring16spun_Z6'\n",
    "SiGlobalTotZ6=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ6=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "tit='spring16spun_Z7'\n",
    "SiGlobalTotZ7=pickle.load(open(bdir+tit+'/SiGlobalTot_'+tit+'.pkl','rb'))\n",
    "NGlobalTotZ7=pickle.load(open(bdir+tit+'/NGlobalTot_'+tit+'.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f6fc91865e0>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(16,8))\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTot7F))],SiGlobalTot7F,'k-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTot7F))],NGlobalTot7F,'k--')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC))],SiGlobalTotHC,'y-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC))],NGlobalTotHC,'m-')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC18))],SiGlobalTotHC18,'g--')\n",
    "plt.plot([dt.datetime(2015,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC18))],NGlobalTotHC18,'r--')\n",
    "plt.plot([dt.datetime(2013,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC1))],SiGlobalTotHC1,'c--')\n",
    "plt.plot([dt.datetime(2013,1,1)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotHC1))],NGlobalTotHC1,'--',color='purple')\n",
    "#plt.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ4))],SiGlobalTotZ4,'c--')\n",
    "#plt.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ4))],NGlobalTotZ4,'c--')\n",
    "\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ5))],SiGlobalTotZ5,'m:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ5))],NGlobalTotZ5,'m:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZtest))],SiGlobalTotZtest,'b:')\n",
    "#ax.plot([dt.datetime(2015,1,11)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZtest))],NGlobalTotZtest,'b:')\n",
    "\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ6))],SiGlobalTotZ6,'r:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ6))],NGlobalTotZ6,'r:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ7))],SiGlobalTotZ7,'g:')\n",
    "#ax.plot([dt.datetime(2016,1,6)+dt.timedelta(10*ii) for ii in range(0,len(SiGlobalTotZ7))],NGlobalTotZ7,'g:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python (py39)",
   "language": "python",
   "name": "py39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}