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#!/usr/bin/python
import sys
import numpy as np
import netCDF4 as nc
from numpy import arange, dtype
import math
#*******************************************************************************
def main(args):
"""USE
{0} mask.nc input.nc output.nc
DESCRIPTION
Computes pressure from density and e3t (that changes with SSH).
"""
if len(args)<6 or args[1]=='-h' or args[1]=='--help':
print( main.func_doc.format(args[0]) )
return 0
#===============================================================================
# input
#===============================================================================
file_pressure = args[1]
fichierpression = nc.Dataset(file_pressure)
pbc_a=fichierpression.variables['Pbc_a'][:,:,:]
pbc_G=fichierpression.variables['Pbc_G'][:,:,:]
depth=fichierpression.variables['dept'][:]
lon=fichierpression.variables['lont'][:]
lat=fichierpression.variables['latt'][:]
file_ssh = args[2]
fichierssh = nc.Dataset(file_ssh)
ssh_a=fichierssh.variables['ssh_a'][:,:]
ssh_G=fichierssh.variables['ssh_G'][:,:]
jj=pbc_a.shape[1]
ii=pbc_a.shape[2]
kk=pbc_a.shape[0]
file_mean = args[3]
fichierrhop = nc.Dataset(file_mean)
rhop_m=fichierrhop.variables['rhop_mean'][0,:,:]
file_mask = args[5]
fichiermask = nc.Dataset(file_mask)
gdepw=fichiermask.variables['gdepw'][0,:,:,:]
gdept_0_all=fichiermask.variables['gdept_0'][0,74,:,:]
gdept_0=fichiermask.variables['gdept_0'][0,0,:,:]
tmask = fichiermask.variables['tmask'][0, :, :, :]
#===============================================================================
# output
#===============================================================================
p_file=args[4]
print('Creating '+p_file)
# this will overwrite the file
ncfile = nc.Dataset(p_file,'w', format='NETCDF3_CLASSIC')
setattr(ncfile,'history',' '.join(args))
ncfile.createDimension('x',ii)
ncfile.createDimension('y',jj)
ncfile.createDimension('dept',kk)
data = ncfile.createVariable('lont',dtype('float64').char,('y','x'))
data[:] = lon
setattr(data, 'units',"degrees_north")
setattr(data, 'standard_name',"longitude_at_T_location")
data = ncfile.createVariable('latt',dtype('float64').char,('y','x'))
data[:] = lat
setattr(data, 'units',"degrees_east")
setattr(data, 'standard_name',"latitude_at_T_location")
data = ncfile.createVariable('dept',dtype('float64').char,('dept'))
data[:] = depth
setattr(data, 'units',"m")
setattr(data, 'positive',"down")
setattr(data, 'standard_name',"depth_at_T_location")
setattr(data, 'axis',"Z")
p_corr_a = ncfile.createVariable('P_corr_A',dtype('float32').char,('dept','y','x'))
setattr(p_corr_a, 'standard_name',"Amplitude Of Pressure Total")
setattr(p_corr_a, 'units',"m-1.kg.s-2")
setattr(p_corr_a, 'coordinates', "dept latt lont")
p_corr_G = ncfile.createVariable('P_corr_G',dtype('float32').char,('dept','y','x'))
setattr(p_corr_G, 'standard_name',"Phase Of Pressure Total")
setattr(p_corr_G, 'units',"m-1.kg.s-2")
setattr(p_corr_G, 'coordinates', "dept latt lont")
#===============================================================================
# process
#===============================================================================
print( 'Dimensions: kk={} jj={} ii={} '.format(kk,jj,ii) )
p_zr = np.zeros(shape=(kk,jj,ii))
p_zi = np.zeros(shape=(kk,jj,ii))
ssh_zr = np.zeros(shape=(jj,ii))
ssh_zi = np.zeros(shape=(jj,ii))
grav=9.81
for k in range (0,75):
for j in range (0,484):
for i in range (0,388):
if math.isnan(pbc_a[k, j, i])==True:
p_zr[k, j, i] == np.NaN;
p_zi[k, j, i] == np.NaN;
else:
p_zr[k, j, i]=pbc_a[k, j, i]*math.cos(math.radians(pbc_G[k, j, i]))
p_zi[k, j, i]=pbc_a[k, j, i]*math.sin(math.radians(pbc_G[k, j, i]))
for j in range (0,484):
for i in range (0,388):
if math.isnan(ssh_a[j, i])==True:
ssh_zr[j, i] == np.NaN;
ssh_zi[j, i] == np.NaN;
else:
ssh_zr[j, i]=ssh_a[j, i]*math.cos(math.radians(ssh_G[j, i]))
ssh_zi[j, i]=ssh_a[j, i]*math.sin(math.radians(ssh_G[j, i]))
p_corr_zr = np.zeros(shape=(kk,jj,ii))
p_corr_zi = np.zeros(shape=(kk,jj,ii))
zz = np.zeros(shape=(jj,ii))
for k in range (0,75):
for j in range(0, 484):
for i in range(0, 388):
zz[j, i] = (0.5 * gdept_0[j,i]) + gdepw[k, j, i]
p_corr_zr[k, j, i] = p_zr[k, j, i] + grav * rhop_m[j, i] * ssh_zr[j, i] * ((gdept_0_all[j,i] - zz[j,i]) / gdept_0_all[j,i])
p_corr_zi[k, j, i] = p_zi[k, j, i] + grav * rhop_m[j, i] * ssh_zi[j, i] * ((gdept_0_all[j,i] - zz[j,i]) / gdept_0_all[j,i])
p_a = np.zeros(shape=(kk,jj,ii))
p_G = np.zeros(shape=(kk,jj,ii))
for k in range (0,75):
for j in range (0,484):
for i in range (0,388):
p_a[k, j, i] = (p_corr_zr[k, j, i] * p_corr_zr[k, j, i] + p_corr_zi[k, j, i] * p_corr_zi[k, j, i])**(0.5)
p_G[k, j, i] = math.degrees(math.atan2(p_corr_zi[k, j, i], p_corr_zr[k, j, i]))
p_a[tmask == 0] = nc.default_fillvals['f4']
p_G[tmask == 0] = nc.default_fillvals['f4']
p_corr_a[:,:,:] = p_a
p_corr_G[:,:,:] = p_G
#===============================================================================
# clean-up
#===============================================================================
fichierpression.close()
fichierssh.close()
fichierrhop.close()
fichiermask.close()
ncfile.close()
#*******************************************************************************
if __name__ == '__main__':
#file:///usr/share/doc/packages/python/html/python-2.7-docs-html/library/sys.html#sys.exit
sys.exit(main(sys.argv))