def convertMODEL2ROMS(confM2R):
# First opening of input file is just for initialization of grid
filenamein = fc.getFilename(confM2R, confM2R.start_year,
confM2R.start_month, confM2R.start_day, None)
# Finalize creating the model grd object now that we know the filename for input data
confM2R.grdMODEL.opennetcdf(filenamein)
confM2R.grdMODEL.createobject(confM2R)
confM2R.grdMODEL.getdims()
# Create the ESMF weights used to do all of the horizontal interpolation
interp2D.setupESMFInterpolationWeights(confM2R)
# Now we want to subset the data to avoid storing more information than we need.
# We do this by finding the indices of maximum and minimum latitude and longitude in the matrixes
if confM2R.subsetindata:
IOsubset.findSubsetIndices(confM2R.grdMODEL,
min_lat=confM2R.subset[0],
max_lat=confM2R.subset[1],
min_lon=confM2R.subset[2],
max_lon=confM2R.subset[3])
print('==> Initializing done')
print('\n--------------------------')
print('==> Starting loop over time')
timecounter = 0
firstrun = True
for year in confM2R.years:
months = datetimeFunctions.createlistofmonths(confM2R, year)
for month in months:
days = datetimeFunctions.createlistofdays(confM2R, year, month)
print("days {}".format(days))
for day in days:
# Get the current date for given timestep
getTime(confM2R, year, month, day, timecounter)
# Each MODEL file consist only of one time step. Get the subset data selected, and
# store that time step in a new array:
if firstrun:
print(
"=> NOTE! Make sure that these two arrays are in sequential order:"
)
print("==> myvars: %s" % confM2R.inputdatavarnames)
print("==> varNames %s" % confM2R.globalvarnames)
firstrun = False
if confM2R.subsetindata:
# The first iteration we want to organize the subset indices we want to extract
# from the input data to get the interpolation correct and to function fast
IOsubset.organizeSplit(confM2R.grdMODEL,
confM2R.grdROMS)
for myvar in confM2R.globalvarnames:
if myvar in [
'temperature', 'salinity', 'uvel', 'vvel', 'O3_c',
'O3_TA', 'N1_p', 'N3_n', 'N5_s', 'O2_o'
]:
data = get3ddata(confM2R, myvar, year, month, day,
timecounter)
if myvar in [
'ssh', 'ageice', 'uice', 'vice', 'aice', 'hice',
'snow_thick'
]:
data = get2ddata(confM2R, myvar, year, month, day,
timecounter)
# Take the input data and horizontally interpolate to your grid
array1 = interp2D.dohorinterpolationregulargrid(
confM2R, data, myvar)
if myvar in [
'temperature', 'salinity', 'O3_c', 'O3_TA', 'N1_p',
'N3_n', 'N5_s', 'O2_o'
]:
STdata = verticalinterpolation(myvar, array1, array1,
confM2R.grdROMS,
confM2R.grdMODEL)
for dd in range(len(STdata[:, 0, 0])):
STdata[dd, :, :] = np.where(
confM2R.grdROMS.mask_rho == 0,
confM2R.grdROMS.fillval, STdata[dd, :, :])
STdata = np.where(
abs(STdata) > 1000, confM2R.grdROMS.fillval,
STdata)
IOwrite.writeclimfile(confM2R, timecounter, myvar,
STdata)
if timecounter == confM2R.grdROMS.inittime and confM2R.grdROMS.write_init is True:
IOinitial.createinitfile(confM2R, timecounter,
myvar, STdata)
if myvar in [
'ssh', 'ageice', 'aice', 'hice', 'snow_thick'
]:
SSHdata = array1[0, :, :]
SSHdata = np.where(confM2R.grdROMS.mask_rho == 0,
confM2R.grdROMS.fillval, SSHdata)
SSHdata = np.where(
abs(SSHdata) > 100, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == 0, confM2R.grdROMS.fillval,
SSHdata)
# Specific for ROMs. We set 0 where we should have fillvalue for ice otherwise ROMS blows up.
SSHdata = np.where(
abs(SSHdata) == confM2R.grdROMS.fillval, 0,
SSHdata)
IOwrite.writeclimfile(confM2R, timecounter, myvar,
SSHdata)
if timecounter == confM2R.grdROMS.inittime:
IOinitial.createinitfile(confM2R, timecounter,
myvar, SSHdata)
# The following are special routines used to calculate the u and v velocity
# of ice based on the transport, which is divided by snow and ice thickenss
# and then multiplied by grid size in dx or dy direction (opposite of transport).
if myvar in ['uice', 'vice']:
SSHdata = array1[0, :, :]
if myvar == "uice": mymask = confM2R.grdROMS.mask_u
if myvar == "vice": mymask = confM2R.grdROMS.mask_v
SSHdata = np.where(mymask == 0,
confM2R.grdROMS.fillval, SSHdata)
SSHdata = np.where(
abs(SSHdata) > 100, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == 0, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == confM2R.grdROMS.fillval, 0,
SSHdata)
IOwrite.writeclimfile(confM2R, timecounter, myvar,
SSHdata)
if timecounter == confM2R.grdROMS.inittime:
if myvar == 'uice':
IOinitial.createinitfile(
confM2R, timecounter, myvar, SSHdata)
if myvar == 'vice':
IOinitial.createinitfile(
confM2R, timecounter, myvar, SSHdata)
if myvar == 'uvel':
array2 = array1
if myvar == 'vvel':
urot, vrot = rotate(confM2R.grdROMS, confM2R.grdMODEL,
data, array2, array1)
u, v = interpolate2uv(confM2R.grdROMS,
confM2R.grdMODEL, urot, vrot)
Udata, Vdata, UBARdata, VBARdata = verticalinterpolation(
myvar, u, v, confM2R.grdROMS, confM2R.grdMODEL)
if myvar == 'vvel':
Udata = np.where(confM2R.grdROMS.mask_u == 0,
confM2R.grdROMS.fillval, Udata)
Udata = np.where(
abs(Udata) > 1000, confM2R.grdROMS.fillval, Udata)
Vdata = np.where(confM2R.grdROMS.mask_v == 0,
confM2R.grdROMS.fillval, Vdata)
Vdata = np.where(
abs(Vdata) > 1000, confM2R.grdROMS.fillval, Vdata)
UBARdata = np.where(confM2R.grdROMS.mask_u == 0,
confM2R.grdROMS.fillval, UBARdata)
UBARdata = np.where(
abs(UBARdata) > 1000, confM2R.grdROMS.fillval,
UBARdata)
VBARdata = np.where(confM2R.grdROMS.mask_v == 0,
confM2R.grdROMS.fillval, VBARdata)
VBARdata = np.where(
abs(VBARdata) > 1000, confM2R.grdROMS.fillval,
VBARdata)
IOwrite.writeclimfile(confM2R, timecounter, myvar,
Udata, Vdata, UBARdata, VBARdata)
if timecounter == confM2R.grdROMS.inittime:
IOinitial.createinitfile(confM2R, timecounter,
myvar, Udata, Vdata,
UBARdata, VBARdata)
timecounter += 1
def convertMODEL2ROMS(confM2R):
# First opening of input file is just for initialization of grid
if confM2R.indatatype == 'SODA':
filenamein = getSODAfilename(confM2R, confM2R.start_year,
confM2R.start_month, "salinity")
if confM2R.indatatype == 'SODA3':
filenamein = getSODA3filename(confM2R, confM2R.start_year,
confM2R.start_month, "salinity")
if confM2R.indatatype == 'SODAMONTHLY':
filenamein = getSODAfilename(confM2R, confM2R.start_year,
confM2R.start_month, "salinity")
if confM2R.indatatype == 'NORESM':
filenamein = getNORESMfilename(confM2R, confM2R.start_year,
confM2R.start_month, "grid")
if confM2R.indatatype == 'WOAMONTHLY':
filenamein = getWOAMONTHLYfilename(confM2R, confM2R.start_year,
confM2R.start_month, "temperature")
if confM2R.indatatype == 'GLORYS':
filenamein = getGLORYSfilename(confM2R, confM2R.start_year,
confM2R.start_month, "S")
if confM2R.indatatype == 'GLORYS':
filenamein = getGLORYSfilename(confM2R, confM2R.start_year,
confM2R.start_month, "S")
if confM2R.indatatype == 'NS8KM':
filenamein = getNS8KMfilename(confM2R, confM2R.start_year,
confM2R.start_month, "S")
if confM2R.indatatype == 'NS8KMZ':
filenamein, readFromOneFile = getNS8KMZfilename(
confM2R, confM2R.start_year, confM2R.start_month, "S")
# Finalize creating the model grd object now that we know the filename for input data
confM2R.grdMODEL.opennetcdf(filenamein)
confM2R.grdMODEL.createobject(confM2R)
confM2R.grdMODEL.getdims()
if confM2R.useesmf:
print(
"=>Creating the interpolation weights and indexes using ESMF (this may take some time....):"
)
print(" -> regridSrc2Dst at RHO points")
confM2R.grdMODEL.fieldSrc = ESMF.Field(
confM2R.grdMODEL.esmfgrid,
"fieldSrc",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.fieldDst_rho = ESMF.Field(
confM2R.grdROMS.esmfgrid,
"fieldDst",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.regridSrc2Dst_rho = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc,
confM2R.grdMODEL.fieldDst_rho,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE)
print(" -> regridSrc2Dst at U points")
confM2R.grdMODEL.fieldSrc = ESMF.Field(
confM2R.grdMODEL.esmfgrid,
"fieldSrc",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.fieldDst_u = ESMF.Field(
confM2R.grdROMS.esmfgrid_u,
"fieldDst_u",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.regridSrc2Dst_u = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc,
confM2R.grdMODEL.fieldDst_u,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE)
print(" -> regridSrc2Dst at V points")
confM2R.grdMODEL.fieldSrc = ESMF.Field(
confM2R.grdMODEL.esmfgrid,
"fieldSrc",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.fieldDst_v = ESMF.Field(
confM2R.grdROMS.esmfgrid_v,
"fieldDst_v",
staggerloc=ESMF.StaggerLoc.CENTER)
confM2R.grdMODEL.regridSrc2Dst_v = ESMF.Regrid(
confM2R.grdMODEL.fieldSrc,
confM2R.grdMODEL.fieldDst_v,
regrid_method=ESMF.RegridMethod.BILINEAR,
unmapped_action=ESMF.UnmappedAction.IGNORE)
# Now we want to subset the data to avoid storing more information than we need.
# We do this by finding the indices of maximum and minimum latitude and longitude in the matrixes
if confM2R.subsetindata:
IOsubset.findSubsetIndices(confM2R.grdMODEL,
min_lat=confM2R.subset[0],
max_lat=confM2R.subset[1],
min_lon=confM2R.subset[2],
max_lon=confM2R.subset[3])
print('==> Initializing done')
print('\n--------------------------')
print('==> Starting loop over time')
time = 0
firstrun = True
for year in confM2R.years:
months = datetimeFunctions.createlistofmonths(confM2R, year)
for month in months:
days = datetimeFunctions.createlistofdays(confM2R, year, month)
for day in days:
# Get the current date for given timestep
getTime(confM2R, year, month, day)
# Each MODEL file consist only of one time step. Get the subset data selected, and
# store that time step in a new array:
if firstrun:
print(
"=> NOTE! Make sure that these two arrays are in sequential order:"
)
print("==> myvars: %s" % confM2R.inputdatavarnames)
print("==> varNames %s" % confM2R.globalvarnames)
firstrun = False
if confM2R.subsetindata:
# The first iteration we want to organize the subset indices we want to extract
# from the input data to get the interpolation correct and to function fast
IOsubset.organizeSplit(confM2R.grdMODEL,
confM2R.grdROMS)
for myvar in confM2R.globalvarnames:
if myvar in ['temperature', 'salinity', 'uvel', 'vvel']:
data = get3ddata(confM2R, myvar, year, month, day)
if myvar in [
'ssh', 'ageice', 'uice', 'vice', 'aice', 'hice',
'snow_thick'
]:
data = get2ddata(confM2R, myvar, year, month, day)
# Take the input data and horizontally interpolate to your grid
array1 = horizontalinterpolation(confM2R, myvar, data)
if myvar in ['temperature', 'salinity']:
STdata = verticalinterpolation(myvar, array1, array1,
confM2R.grdROMS,
confM2R.grdMODEL)
for dd in range(len(STdata[:, 0, 0])):
STdata[dd, :, :] = np.where(
confM2R.grdROMS.mask_rho == 0,
confM2R.grdROMS.fillval, STdata[dd, :, :])
STdata = np.where(
abs(STdata) > 1000, confM2R.grdROMS.fillval,
STdata)
IOwrite.writeclimfile(confM2R, time, myvar, STdata)
if time == confM2R.grdROMS.inittime and confM2R.grdROMS.write_init is True:
IOinitial.createinitfile(confM2R, time, myvar,
STdata)
if myvar in [
'ssh', 'ageice', 'aice', 'hice', 'snow_thick'
]:
SSHdata = array1[0, :, :]
SSHdata = np.where(confM2R.grdROMS.mask_rho == 0,
confM2R.grdROMS.fillval, SSHdata)
SSHdata = np.where(
abs(SSHdata) > 100, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == 0, confM2R.grdROMS.fillval,
SSHdata)
# Specific for ROMs. We set 0 where we should have fillvalue for ice otherwise ROMS blows up.
SSHdata = np.where(
abs(SSHdata) == confM2R.grdROMS.fillval, 0,
SSHdata)
IOwrite.writeclimfile(confM2R, time, myvar, SSHdata)
if time == confM2R.grdROMS.inittime:
IOinitial.createinitfile(confM2R, time, myvar,
SSHdata)
# The following are special routines used to calculate the u and v velocity
# of ice based on the transport, which is divided by snow and ice thickenss
# and then multiplied by grid size in dx or dy direction (opposite of transport).
if myvar in ['uice', 'vice']:
SSHdata = array1[0, :, :]
if myvar == "uice": mymask = confM2R.grdROMS.mask_u
if myvar == "vice": mymask = confM2R.grdROMS.mask_v
SSHdata = np.where(mymask == 0,
confM2R.grdROMS.fillval, SSHdata)
SSHdata = np.where(
abs(SSHdata) > 100, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == 0, confM2R.grdROMS.fillval,
SSHdata)
SSHdata = np.where(
abs(SSHdata) == confM2R.grdROMS.fillval, 0,
SSHdata)
# SSHdata = np.ma.masked_where(abs(SSHdata) > 1000, SSHdata)
print(
"Data range of %s after interpolation: %3.3f to %3.3f"
% (myvar, SSHdata.min(), SSHdata.max()))
IOwrite.writeclimfile(confM2R, time, myvar, SSHdata)
if time == confM2R.grdROMS.inittime:
if myvar == 'uice':
IOinitial.createinitfile(
confM2R, time, myvar, SSHdata)
if myvar == 'vice':
IOinitial.createinitfile(
confM2R, time, myvar, SSHdata)
if myvar == 'uvel':
array2 = array1
if myvar == 'vvel':
indexROMS_UBAR = (confM2R.grdROMS.eta_u,
confM2R.grdROMS.xi_u)
indexROMS_VBAR = (confM2R.grdROMS.eta_v,
confM2R.grdROMS.xi_v)
# UBARdata = np.zeros((indexROMS_UBAR), dtype=np.float64)
# VBARdata = np.zeros((indexROMS_VBAR), dtype=np.float64)
urot, vrot = rotate(confM2R.grdROMS, confM2R.grdMODEL,
data, array2, array1)
u, v = interpolate2uv(confM2R.grdROMS,
confM2R.grdMODEL, urot, vrot)
Udata, Vdata, UBARdata, VBARdata = verticalinterpolation(
myvar, u, v, confM2R.grdROMS, confM2R.grdMODEL)
if myvar == 'vvel':
# print "Data range of U after interpolation: %3.3f to %3.3f - V after scaling: %3.3f to %3.3f" % (
# Udata.min(), Udata.max(), Vdata.min(), Vdata.max())
Udata = np.where(confM2R.grdROMS.mask_u == 0,
confM2R.grdROMS.fillval, Udata)
Udata = np.where(
abs(Udata) > 1000, confM2R.grdROMS.fillval, Udata)
Vdata = np.where(confM2R.grdROMS.mask_v == 0,
confM2R.grdROMS.fillval, Vdata)
Vdata = np.where(
abs(Vdata) > 1000, confM2R.grdROMS.fillval, Vdata)
UBARdata = np.where(confM2R.grdROMS.mask_u == 0,
confM2R.grdROMS.fillval, UBARdata)
UBARdata = np.where(
abs(UBARdata) > 1000, confM2R.grdROMS.fillval,
UBARdata)
VBARdata = np.where(confM2R.grdROMS.mask_v == 0,
confM2R.grdROMS.fillval, VBARdata)
VBARdata = np.where(
abs(VBARdata) > 1000, confM2R.grdROMS.fillval,
VBARdata)
IOwrite.writeclimfile(confM2R, time, myvar, Udata,
Vdata, UBARdata, VBARdata)
if time == confM2R.grdROMS.inittime:
IOinitial.createinitfile(confM2R, time, myvar,
Udata, Vdata, UBARdata,
VBARdata)
time += 1
