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atmosForcing.py
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atmosForcing.py
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import sys
from datetime import datetime
import extrapolate as ex
import numpy as np
from netCDF4 import Dataset, num2date
import IOatmos
import grd
try:
import ESMF
except ImportError:
print("Could not find module ESMF. Required")
sys.exit()
_author_ = 'Trond Kristiansen'
_email_ = 'me@trondkristiansen.com'
_created_ = datetime(2014, 12, 16)
_modified_ = datetime(2014, 12, 16)
_version_ = "0.2.0"
_status_ = "Development"
def help ():
"""
This function creates atmospheric forcing files for ROMS
def createAtmosFileUV(grdROMS, outfilename, output_format)
To check the file for CF compliancy: http://titania.badc.rl.ac.uk/cgi-bin/cf-checker.pl?cfversion=1.0
"""
def laplaceFilter(field, threshold, toxi, toeta):
undef=2.0e+35
tx=0.9*undef
critx=0.01
cor=1.6
mxs=10
field=np.where(abs(field)>threshold,undef,field)
field=ex.extrapolate.fill(int(1),int(toxi),
int(1),int(toeta),
float(tx), float(critx), float(cor), float(mxs),
np.asarray(field, order='F'),
int(toxi),
int(toeta))
return field
def getERA5Filename(confM2R):
return confM2R.atmospheric_forcing_path + ''
def createAtmosFileUV(confM2R):
if confM2R.show_progress is True:
import progressbar
progress = progressbar.ProgressBar(widgets=[progressbar.Percentage(), progressbar.Bar()], maxval=len(years)).start()
# Create the objects for source and destination grids
getERA5_1DAYfilename
grdMODEL = grd.grdClass(nor, mytype, mytype, useESMF,'atmos')
# Create the outputfile
outfilename= abbreviation + '_windUV_' + str(mytype) + '_' + str(startdate.year) + '_to_' + str(enddate.year) + '.nc'
IOatmos.createNetCDFFileUV(grdROMS, outfilename, myformat, mytype)
# Setup ESMF for interpolation (calculates weights)
print(" -> regridSrc2Dst at RHO points")
grdMODEL.fieldSrc = ESMF.Field(grdMODEL.esmfgrid, "fieldSrc", staggerloc=ESMF.StaggerLoc.CENTER)
grdMODEL.fieldDst_rho = ESMF.Field(grdROMS.esmfgrid, "fieldDst", staggerloc=ESMF.StaggerLoc.CENTER)
grdMODEL.regridSrc2Dst_rho = ESMF.Regrid(grdMODEL.fieldSrc, grdMODEL.fieldDst_rho, regrid_method=ESMF.RegridMethod.BILINEAR)
# Loop over each year and do the interpolations and write to file
year=2050; month=1; day=1
if mytype == "NORESM":
filename = getNORESMfilename(year,month,day,"TAUX",atmospath)
cdf = Dataset(filename,"r")
U10 = cdf.variables["U10"][:]
TAUX = -(cdf.variables["TAUX"][:])
TAUY = -(cdf.variables["TAUY"][:])
magstr = np.sqrt(TAUX*TAUX + TAUY*TAUY)
magstr = np.where(magstr < 1.e-8,1.e-8,magstr)
windE = (TAUX/magstr)*U10
windN = (TAUY/magstr)*U10
time_in = cdf.variables["time"][:]
time_calendar = cdf.variables['time'].calendar
time_units = cdf.variables['time'].units
scru = np.zeros((len(time_in),np.shape(grdROMS.lat_rho)[0],np.shape(grdROMS.lat_rho)[1]))
scrv = np.zeros((len(time_in),np.shape(grdROMS.lat_rho)[0],np.shape(grdROMS.lat_rho)[1]))
# Loop over each time-step in current file
for t in range(len(time_in)):
currentdate=num2date(time_in[t], units=time_units,calendar=time_calendar)
print("Interpolating date: ",currentdate)
# Eastward wind
grdMODEL.fieldSrc[:,:]=np.flipud(np.rot90(np.squeeze(windE[t,:,:])))
fieldE = grdMODEL.regridSrc2Dst_rho(grdMODEL.fieldSrc, grdMODEL.fieldDst_rho)
# Since ESMF uses coordinates (x,y) we need to rotate and flip to get back to (y,x) order.
fieldE = np.fliplr(np.rot90(fieldE.data,3))
fieldE = laplaceFilter(fieldE, 1000, grdROMS.xi_rho, grdROMS.eta_rho)
fieldE = fieldE*grdROMS.mask_rho
# Northward wind
grdMODEL.fieldSrc[:,:]=np.flipud(np.rot90(np.squeeze(windN[t,:,:])))
fieldN = grdMODEL.regridSrc2Dst_rho(grdMODEL.fieldSrc, grdMODEL.fieldDst_rho)
fieldN = np.fliplr(np.rot90(fieldN.data,3))
fieldN = laplaceFilter(fieldN, 1000, grdROMS.xi_rho, grdROMS.eta_rho)
fieldN = fieldN*grdROMS.mask_rho
# Magnitude
grdMODEL.fieldSrc[:,:]=np.flipud(np.rot90(np.squeeze(magstr[t,:,:])))
magnitude = grdMODEL.regridSrc2Dst_rho(grdMODEL.fieldSrc, grdMODEL.fieldDst_rho)
magnitude = np.fliplr(np.rot90(magnitude.data,3))
magnitude = laplaceFilter(magnitude, 1000, grdROMS.xi_rho, grdROMS.eta_rho)
magnitude = magnitude*grdROMS.mask_rho
import plotAtmos
print("Interpolated range: ", np.min(magnitude), np.max(magnitude))
print("Original range: ", np.min(magstr), np.max(magstr))
grdROMS.time+=1
print(np.shape(windE), np.shape(grdMODEL.lon), np.shape(grdMODEL.lat))
plotAtmos.contourMap(grdROMS, grdROMS.lon_rho, grdROMS.lat_rho, fieldE, fieldN, magnitude,
'wind','REGSCEN',currentdate)
plotAtmos.contourMap(grdMODEL,
grdMODEL.lon,
grdMODEL.lat,
np.squeeze(windE[t,:,:]),
np.squeeze(windN[t,:,:]),
np.squeeze(magstr[t,:,:]),
'wind','NORESM',currentdate)
# Rotate to ROMS grid structure
scru[t,:,:]=(fieldE*np.cos(grdROMS.angle)) + (fieldN*np.sin(grdROMS.angle))
scrv[t,:,:]=(fieldN*np.cos(grdROMS.angle)) - (fieldE*np.sin(grdROMS.angle))