Data_processing_pt1-Steric_Paper.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Processing - Steric Paper - Part 1 \n",
    "\n",
    "After computing the steric height for each of the datasets, we:\n",
    "1. Regrid everything to the ETOPO1 132x360 \n",
    "2. Apply land mask computed based on the ETOPO1 values.\n",
    "3. Select time periods\n",
    "    a. 2005-2015\n",
    "    b. 1993-2017\n",
    "    \n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "sys.path.append(\"/Users/ccamargo/Documents/py_scripts/\")\n",
    "import utils_SL as sl \n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def get_filelist_sufix(path,  #'/Volumes/ccamargo/Data/'\n",
    "                 sufix='', #'*grb'\n",
    "                 sort=True\n",
    "                 ):\n",
    "    flist=[filename for filename in os.listdir(path) \n",
    "    if filename.endswith(sufix)]\n",
    "    if sort:\n",
    "        flist=sorted(flist) # Force it to be in the right order\n",
    "    \n",
    "    return flist\n",
    "\n",
    "\n",
    "import cmocean as cmo\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "from netCDF4 import Dataset\n",
    "def write_nc(value,lati=[0],long=[0],tempo=[0],dep=[0],dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since 1993-01-01',\n",
    "             time_span='from 1993.01 to 2017.12',\n",
    "             data_name='sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source='source',\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date='made on this date',\n",
    "             kurs='/Users/ccamargo/Desktop/filename.nc'):\n",
    "\n",
    "             \n",
    "    ncfile = Dataset(kurs,'w',format='NETCDF4_CLASSIC')\n",
    "    \n",
    "    # create Dimension\n",
    "    lat_dim = ncfile.createDimension('lat', len(lati)) # latitude axis\n",
    "    # Create Variable\n",
    "    lat = ncfile.createVariable('lat', np.float32, ('lat',))\n",
    "    lat.units = 'degrees_north'\n",
    "    lat.long_name = 'latitude'\n",
    "    # Add data to variable\n",
    "    lat[:] = lati\n",
    "    \n",
    "    lon_dim = ncfile.createDimension('lon', len(long)) # latitude axis\n",
    "    lon = ncfile.createVariable('lon', np.float32, ('lon',))\n",
    "    lon.units = 'degrees_east'\n",
    "    lon.long_name = 'longitude'\n",
    "    lon[:]=long\n",
    "    \n",
    "    \n",
    "    \n",
    "    time_dim = ncfile.createDimension('time',len(tempo)) # time axis\n",
    "    time = ncfile.createVariable('time', np.float32, ('time',))\n",
    "    time.units = time_un\n",
    "    time.long_name = 'time'\n",
    "    time[:]=tempo\n",
    "    \n",
    "    \n",
    "    ## \n",
    "    s=value.shape\n",
    "    \n",
    "    data = ncfile.createVariable('data',np.float64,('time','lat','lon'))\n",
    "    data[:,:,:]=value\n",
    "    \n",
    "    data.units=data_un\n",
    "    data.standard_name=data_name\n",
    "    data.depth=data_depth\n",
    "    data.missing=data_missing\n",
    "    \n",
    "    ncfile.metadata=data_metadata\n",
    "    ncfile.depth_info=depth_info\n",
    "    ncfile.timespan=time_span\n",
    "    ncfile.source=data_source\n",
    "    ncfile.comp_date=comp_date\n",
    "    \n",
    "    # close file\n",
    "    ncfile.close();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Regridding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. create grid from etopo file\n",
    "_tmp=os.system('cdo griddes /Users/ccamargo/Desktop/paper1/topo/landmask_nan1_360x132_nc.nc > etopo1_grid')\n",
    "# etopo was regridded with the topo.py file in the ../topo folder\n",
    "\n",
    "#2. get filelist\n",
    "path_to_original_files='/Users/ccamargo/Desktop/paper1/steric/data/original/'\n",
    "flist=get_filelist_sufix(path_to_original_files,sufix='.nc')\n",
    "\n",
    "path_to_regrided_files='/Users/ccamargo/Desktop/paper1/steric/data/regrid_132x360/'\n",
    "\n",
    "\n",
    "# 3. Regrid:\n",
    "for file in flist:\n",
    "    fin=path_to_original_files+file\n",
    "    fout=path_to_regrided_files+file\n",
    "    command_list=str('cdo remapbil,etopo1_grid '+fin+' '+fout)\n",
    "    _tmp=os.system(command_list)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if it worked:\n",
    "file=flist[0]\n",
    "fin=path_to_original_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[0,:,:])\n",
    "sl.plot_map(data,lat,lon,title=file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fout=path_to_regrided_files+file\n",
    "fout\n",
    "ds=xr.open_dataset(fout,decode_times=False)\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[0,:,:])\n",
    "sl.plot_map(data,lat,lon,title=file)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fout=path_to_regrided_files+flist[-1]\n",
    "ds=xr.open_dataset(fout,decode_times=False)\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[0,:,:])\n",
    "sl.plot_map(data,lat,lon,title=flist[-1])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Apply land mask & Select time periods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "  * lon      (lon) float64 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "Data variables:\n",
       "    mask     (lat, lon) float64 ...\n",
       "Attributes:\n",
       "    name:         Land mask: 1=ocean, nan=land\n",
       "    description:  Land mask based on the ETOPO1 topography, regrided with cdo...\n",
       "    source:       ETOPO1 1 Arc-Minute Global Relief Model http://www.ngdc.noa..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. Get land mask\n",
    "da=xr.open_dataset('/Users/ccamargo/Desktop/paper1/topo/landmask_nan1_360x132.nc')\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask=np.array(da.mask)\n",
    "\n",
    "cmin=-1\n",
    "cmax=1\n",
    "\n",
    "#%%\n",
    "data=mask\n",
    "fig=plt.figure(figsize=(8,8))\n",
    "m=Basemap(projection='cyl',\n",
    "          llcrnrlon=np.min(lon),urcrnrlon=np.max(lon), \n",
    "          llcrnrlat=lat.min(),urcrnrlat=lat.max(), \n",
    "          resolution='c')\n",
    "\n",
    "#Plot the field using the fast pcolormesh routine and set the colormap to jet.\n",
    "m.pcolormesh(lon,lat,data,shading='flat', \n",
    "          cmap=cmo.cm.balance)\n",
    "plt.clim(cmin,cmax)\n",
    "plt.colorbar(orientation='horizontal')\n",
    "plt.title('landmask')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select time periods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_2005_2015='/Users/ccamargo/Desktop/paper1/steric/data/final/2005-2015/regional/'\n",
    "path_to_1993_2017='/Users/ccamargo/Desktop/paper1/steric/data/final/1993-2017/regional/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "delt=1296000000000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## APDRC:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 174)\n",
       "Coordinates:\n",
       "  * time     (time) float32 0.0 28.0 59.0 89.0 ... 5172.0 5202.0 5233.0 5263.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:03 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       APDRC - http://apdrc.soest.hawaii.edu/projects/Argo/\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of APDRC...\n",
       "    depth_info:   27 depth levels, ranging from 0.0 to 2000.0 meters\n",
       "    timespan:     2005-01-31T00:00:00.000000 to 2019-06-30T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-28 18:19:38.901644\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[0]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/2005', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "tim[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2016-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tim[132]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[0:132]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=0\n",
    "j=132\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "data=data*mask\n",
    "\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ArgoRG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 186)\n",
       "Coordinates:\n",
       "  * time     (time) float32 0.0 1.0 2.0 3.0 4.0 ... 182.0 183.0 184.0 185.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:03 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       http://sio-argo.ucsd.edu/RG_Climatology.html\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of ArgoR...\n",
       "    depth_info:   58 depth levels, ranging from 2.5 to 1975.0 meters\n",
       "    timespan:     2004-01-31T00:00:00.000000 to 2019-06-30T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-28 18:19:35.544862\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[1]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/2004', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "tim[12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[12:144]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=12\n",
    "j=144\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Armor3D.nc'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flist[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 312)\n",
       "Coordinates:\n",
       "  * time     (time) float32 0.0 1.0 2.0 3.0 4.0 ... 308.0 309.0 310.0 311.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:03 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       ARMOR3D - MULTIOBS_GLO_PHY_REP_015_002 - http://marine.cope...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of Armor...\n",
       "    depth_info:   26 depth levels, ranging from 0 to 2000 meters\n",
       "    timespan:     1993-01-31T00:00:00.000000 to 2018-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-30 14:39:34.325974\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[2]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1993', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:300]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1993-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=0\n",
    "j=300\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[144:276]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=144\n",
    "j=276\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'BOA.nc'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flist[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 180)\n",
       "Coordinates:\n",
       "  * time     (time) float32 0.0 1.0 2.0 3.0 4.0 ... 176.0 177.0 178.0 179.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:05 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       BOA - ftp://data.argo.org.cn/pub/ARGO/BOA_Argo/\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of BOA, ...\n",
       "    depth_info:   58 depth levels, ranging from 0.0 to 1975.0 meters\n",
       "    timespan:     2005-01-31T00:00:00.000000 to 2019-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-28 18:29:19.309324\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[3]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/2005', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:132]\n",
    "t[-1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=0\n",
    "j=132\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "data=data*mask\n",
    "\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CGlors.nc'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=4\n",
    "flist[ifile]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 300)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:05 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       C-Glors05 from GREPv2 - GLOBAL_REANALYSIS_PHY_001_031  - ht...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of CGlor...\n",
       "    depth_info:   54 depth levels, ranging from 0.50576 to 1945.296 meters\n",
       "    timespan:     1993-01-31T00:00:00.000000 to 2017-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:09:45.495865\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1993', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:300]\n",
    "t[-1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=0\n",
    "j=300\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[144:276]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=144\n",
    "j=276\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CORA.nc'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flist[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 342)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:06 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       CORA v5.2 - INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b - h...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of CORA,...\n",
       "    depth_info:   152 depth levels, ranging from 1.0 to 2000.0 meters\n",
       "    timespan:     1990-01-31T00:00:00.000000 to 2018-06-30T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 10:27:36.625025\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[5]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1993-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1990', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:336]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=336\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[180:312]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=180\n",
    "j=312\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Cheng.nc'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flist[6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 354)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:08 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       Cheng - http://ddl.escience.cn/f/FiL0#path=%2F7421275 (link...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of Cheng...\n",
       "    depth_info:   41 depth levels, ranging from 1.0 to 2000.0 meters\n",
       "    timespan:     1990-01-31T00:00:00.000000 to 2019-06-30T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 10:00:33.735703\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[6]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1993-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1990', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:336]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=336\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[180:312]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=180\n",
    "j=312\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EN4.nc'"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flist[7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 353)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:08 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       EN.4.2.1 - G10 correction - http://hadobs.metoffice.com/en4...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of EN4, ...\n",
       "    depth_info:   30 depth levels, ranging from 5.0215898 to 1868.0707 meters\n",
       "    timespan:     1990-01-31T00:00:00.000000 to 2019-05-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 10:50:14.018681\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[7]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1993-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1990', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:336]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=336\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[180:312]\n",
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=180\n",
    "j=312\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'FOAM.nc'"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=8\n",
    "flist[ifile]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 300)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:08 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       FOAM/GloSea5 from GREPv2 - GLOBAL_REANALYSIS_PHY_001_031  -...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of FOAM,...\n",
       "    depth_info:   54 depth levels, ranging from 0.50576 to 1945.296 meters\n",
       "    timespan:     1993-01-31T00:00:00.000000 to 2017-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:08:05.577873\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1993', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:300]\n",
    "t[-1]\n",
    "\n",
    "i=0\n",
    "j=300\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n",
    "t=tim[144:276]\n",
    "t[0]\n",
    "\n",
    "i=144\n",
    "j=276\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'GLORYS.nc'"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=9\n",
    "flist[ifile]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 300)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:10 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       GLORYS2V4 from GREPv2 - GLOBAL_REANALYSIS_PHY_001_031  - ht...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of GLORY...\n",
       "    depth_info:   54 depth levels, ranging from 0.50576 to 1945.296 meters\n",
       "    timespan:     1993-01-31T00:00:00.000000 to 2017-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:14:46.729575\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1993', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:300]\n",
    "t[-1]\n",
    "\n",
    "i=0\n",
    "j=300\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n",
    "t=tim[144:276]\n",
    "t[0]\n",
    "\n",
    "i=144\n",
    "j=276\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ISAS.nc'"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=10\n",
    "flist[ifile]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 168)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:12 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       ISAS15_ARGO gridded fields from Argo data only - https://ww...\n",
       "    metadata:     Monthly gridded surface (10m) STERIC fields based on T,S of...\n",
       "    depth_info:   152 depth levels, ranging from 1.0 to 2000.0 meters\n",
       "    timespan:     2002-01-31T00:00:00.000000 to 2015-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:37:14.378087\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2005-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/2002', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:168]\n",
    "t[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=168\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ISASplus-SSS.nc'"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=11\n",
    "flist[ifile]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 168)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:12 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       ISAS gridded fields with SSS correction - https://www.seano...\n",
       "    metadata:     Monthly gridded surface (10m) STERIC fields based on T,S of...\n",
       "    depth_info:   152 depth levels, ranging from 1.0 to 2000.0 meters\n",
       "    timespan:     2002-01-31T00:00:00.000000 to 2015-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:36:12.645559\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/2002', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:168]\n",
    "t[-1]\n",
    "\n",
    "i=36\n",
    "j=168\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Ishii.nc'"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=12\n",
    "flist[ifile]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 348)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:13 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       Ishii Dataset v7.2 - https://climate.mri-jma.go.jp/pub/ocea...\n",
       "    metadata:     Monthly gridded surface (10m) STERIC fields based on T,S of...\n",
       "    depth_info:   26 depth levels, ranging from 0.0 to 2000.0 meters\n",
       "    timespan:     1900-01-31T00:00:00.000000 to 1928-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:52:14.562877\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1990', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:336]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('1993-01-31T00:00:00.000000')"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=336\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[180:312]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=180\n",
    "j=312\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "data=data*mask\n",
    "\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ORAS.nc'"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=13\n",
    "flist[ifile]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 300)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:13 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       ORAS5 from GREPv2 - GLOBAL_REANALYSIS_PHY_001_031  - https:...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on T,S of ORAS,...\n",
       "    depth_info:   54 depth levels, ranging from 0.50576 to 1945.296 meters\n",
       "    timespan:     1993-01-31T00:00:00.000000 to 2017-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 11:15:48.344897\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1993', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[0:300]\n",
    "t[-1]\n",
    "\n",
    "i=0\n",
    "j=300\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n",
    "t=tim[144:276]\n",
    "t[0]\n",
    "\n",
    "i=144\n",
    "j=276\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'SODA.nc'"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ifile=14\n",
    "flist[ifile]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 132, lon: 360, time: 336)\n",
       "Coordinates:\n",
       "  * time     (time) float32 -2076929800.0 -2076929800.0 ... -2076929800.0\n",
       "  * lon      (lon) float32 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0\n",
       "  * lat      (lat) float32 65.5 64.5 63.5 62.5 61.5 ... -62.5 -63.5 -64.5 -65.5\n",
       "Data variables:\n",
       "    data     (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
       "    Conventions:  CF-1.6\n",
       "    history:      Fri May 01 12:18:15 2020: cdo remapbil,etopo1_grid /Users/c...\n",
       "    source:       SODA3.3.2 - https://www.atmos.umd.edu/~ocean/index_files/so...\n",
       "    metadata:     Monthly gridded surface STERIC fields based on PT,S of SODA...\n",
       "    depth_info:   33 depth levels, ranging from 5.033549785614014 to 1874.788...\n",
       "    timespan:     1990-01-31T00:00:00.000000 to 2017-12-31T00:00:00.000000\n",
       "    comp_date:    File made on 2020-04-29 12:05:58.870288\n",
       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file=flist[ifile]\n",
    "fin=path_to_regrided_files+file\n",
    "\n",
    "ds=xr.open_dataset(fin,decode_times=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2017-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time=np.array(ds.time)\n",
    "ty=pd.date_range(start='1/1/1990', periods=len(time),freq='M')\n",
    "tim = np.array(ty.to_pydatetime(), dtype=np.datetime64)\n",
    "t=tim[36:336]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=36\n",
    "j=336\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "fout=path_to_1993_2017+file\n",
    "#fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=t,dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2015-12-31T00:00:00.000000')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=tim[180:312]\n",
    "t[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "i=180\n",
    "j=312\n",
    "lat=np.array(ds.lat)\n",
    "lon=np.array(ds.lon)\n",
    "data=np.array(ds.data[i:j,:,:])\n",
    "\n",
    "#fout=path_to_1993_2017+file\n",
    "fout=path_to_2005_2015+file\n",
    "\n",
    "data=data*mask\n",
    "\n",
    "write_nc(data,lati=lat,long=lon,tempo=np.arange(0,len(t)),dim=3,\n",
    "             #path='/Users/',fname='file',\n",
    "             time_un='months since '+str(t[0]-delt),\n",
    "             time_span='from '+str(t[0])+' to '+str(t[-1]),\n",
    "             data_name='steric_sea_level_height',data_un='M',\n",
    "             data_missing='nan',\n",
    "             data_depth='surface: 0m',\n",
    "             depth_info='0 to 2000m',\n",
    "             data_source=str(file),\n",
    "             data_metadata='Data regridded to 132x360, and applied land mask based on ETOPO1',\n",
    "             comp_date=str(dt.datetime.now()),\n",
    "             kurs=fout)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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