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#!/usr/bin/env python
from test_python_common import * # common subroutines
import cmor._cmor
import os
pth = os.path.split(os.path.realpath(os.curdir))
if pth[-1]=='Test':
ipth = opth = '.'
else:
ipth = opth = 'Test'
myaxes=numpy.zeros(9,dtype='i')
myaxes2=numpy.zeros(9,dtype='i')
myvars=numpy.zeros(9,dtype='i')
cmor.setup(inpath=ipth,set_verbosity=cmor.CMOR_NORMAL, netcdf_file_action = cmor.CMOR_REPLACE, exit_control = cmor.CMOR_EXIT_ON_MAJOR);
cmor.dataset(
outpath = opth,
experiment_id = "historical",
institution = "GICC (Generic International Climate Center, Geneva, Switzerland)",
source = "GICCM1 2002: atmosphere: GICAM3 (gicam_0_brnchT_itea_2, T63L32); ocean: MOM (mom3_ver_3.5.2, 2x3L15); sea ice: GISIM4; land: GILSM2.5",
calendar = "standard",
realization = 1,
contact = "Rusty Koder (koder@middle_earth.net)",
history = "Output from archive/giccm_03_std_2xCO2_2256.",
comment = "Equilibrium reached after 30-year spin-up after which data were output starting with nominal date of January 2030",
references = "Model described by Koder and Tolkien (J. Geophys. Res., 2001, 576-591). Also see http://www.GICC.su/giccm/doc/index.html 2XCO2 simulation described in Dorkey et al. '(Clim. Dyn., 2003, 323-357.)",
leap_year=0,
leap_month=0,
month_lengths=None,
model_id="GICCM1",
forcing="Ant, Nat",
institute_id="pcmdi",
parent_experiment_id="piControl",branch_time=18336.33)
tables=[]
a = cmor.load_table("/git/cmip5-cmor-tables/Tables/CMIP5_grids")
tables.append(a)
t='CMIP5_Omon'
te = 'dissic'
u='mol m-3'
time='time'
ts='month'
tscl=1.
t='CMIP5_cfSites'
te = 'pr'
u= 'kg m-2 s-1'
time='time1'
ts='days'
tscl=2.e-2
tables.append(cmor.load_table("/git/cmip5-cmor-tables/Tables/%s" % t))
print 'Tables ids:',tables
cmor.set_table(tables[0])
x,y,lon_coords,lat_coords,lon_vertices,lat_vertices = gen_irreg_grid(lon,lat)
myaxes[0] = cmor.axis(table_entry = 'y',
units = 'm',
coord_vals = y)
myaxes[1] = cmor.axis(table_entry = 'x',
units = 'm',
coord_vals = x)
grid_id = cmor.grid(axis_ids = myaxes[:2],
latitude = lat_coords,
longitude = lon_coords,
latitude_vertices = lat_vertices,
longitude_vertices = lon_vertices)
print 'got grid_id:',grid_id
myaxes[2] = grid_id
mapnm = 'lambert_conformal_conic'
params = [ "standard_parallel1",
"longitude_of_central_meridian","latitude_of_projection_origin",
"false_easting","false_northing","standard_parallel2" ]
punits = ["","","","","","" ]
pvalues = [-20.,175.,13.,8.,0.,20. ]
cmor.set_grid_mapping(grid_id=myaxes[2],
mapping_name = mapnm,
parameter_names = params,
parameter_values = pvalues,
parameter_units = punits)
cmor.set_table(tables[1])
myaxes[3] = cmor.axis(table_entry = time,
units = '%s since 1980' % ts)
pass_axes = [myaxes[3],myaxes[2]]
myvars[0] = cmor.variable( table_entry = te,
units = u,
axis_ids = pass_axes,
history = 'no history',
comment = 'no future'
)
ntimes=2
for i in range(ntimes):
data2d = read_2d_input_files(i, varin2d[0], lat,lon)*1.E-6
print 'writing time: ',i,data2d.shape#,data2d
#print Time[i],bnds_time[2*i:2*i+2]
cmor.write(myvars[0],data2d,1,time_vals=Time[i]*tscl,time_bnds=tscl*bnds_time[2*i:2*i+2])
print 'wrote'
cmor.close()
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