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from __future__ import print_function
import cmor
import numpy
import os
ntimes = 2
lon = 300
lat = 100
lev = 5
def read_time(it):
time = [0]
time_bnds = [0, 0]
time[0] = (it - 0.5) * 30.
time_bnds[0] = (it - 1) * 30.
time_bnds[1] = it * 30.
time[0] = it
time_bnds[0] = it
time_bnds[1] = it + 1
return time[0], numpy.array(time_bnds)
def gen_irreg_grid(lon, lat):
lon0 = 5.
lat0 = -17.5
delta_lon = .1
delta_lat = .1
y = numpy.arange(lat)
x = numpy.arange(lon)
lon_coords = numpy.zeros((lat, lon))
lat_coords = numpy.zeros((lat, lon))
lon_vertices = numpy.zeros((lat, lon, 4))
lat_vertices = numpy.zeros((lat, lon, 4))
for j in range(lat): # really porr coding i know
for i in range(lon): # getting worse i know
lon_coords[j, i] = lon0 + delta_lon * (j + 1 + i)
lat_coords[j, i] = lat0 + delta_lat * (j + 1 - i)
lon_vertices[j, i, 0] = lon_coords[j, i] - delta_lon
lon_vertices[j, i, 1] = lon_coords[j, i]
lon_vertices[j, i, 2] = lon_coords[j, i] + delta_lon
lon_vertices[j, i, 3] = lon_coords[j, i]
# !!$ /* vertices lat */
lat_vertices[j, i, 0] = lat_coords[j, i]
lat_vertices[j, i, 1] = lat_coords[j, i] - delta_lat
lat_vertices[j, i, 2] = lat_coords[j, i]
lat_vertices[j, i, 3] = lat_coords[j, i] + delta_lat
print(lat_vertices.min(), '---------------------')
return x, y, lon_coords, lat_coords, lon_vertices, lat_vertices
myaxes = numpy.zeros(9, dtype='i')
myaxes2 = numpy.zeros(9, dtype='i')
myvars = numpy.zeros(9, dtype='i')
cmor.setup(
inpath="Tables",
set_verbosity=cmor.CMOR_NORMAL,
netcdf_file_action=cmor.CMOR_REPLACE,
exit_control=cmor.CMOR_EXIT_ON_MAJOR)
cmor.dataset_json("Test/CMOR_input_example.json")
tables = []
a = cmor.load_table("CMIP6_grids.json")
tables.append(a)
tables.append(cmor.load_table("CMIP6_Omon.json"))
print('Tables ids:', tables)
cmor.set_table(tables[0])
x, y, lon_coords, lat_coords, lon_vertices, lat_vertices = gen_irreg_grid(
lon, lat)
print(lon_vertices.shape, lat_vertices.shape, x.shape, y.shape)
myaxes[1] = cmor.axis(table_entry='y',
units='m',
coord_vals=y)
myaxes[0] = cmor.axis(table_entry='x',
units='m',
coord_vals=x)
print('lons:', lon_vertices.shape, lon_coords.shape)
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='months since 1980')
# Now sets up the ocn sigma stuff
levs = -numpy.arange(lev) / float(lev + 1.)
blevs = -numpy.arange(lev + 1) / float(lev + 1.)
print('Defining zlevs')
myaxes[4] = cmor.axis(
table_entry='ocean_sigma',
coord_vals=levs,
cell_bounds=blevs,
units='1')
print('definnig zfactor depth', myaxes[2])
depth = numpy.random.random((lon, lat)) * 5000.
print('Depth:', depth.shape, depth.dtype)
idpth = cmor.zfactor(zaxis_id=myaxes[4],
units='m',
zfactor_name='depth',
axis_ids=numpy.array([myaxes[2],
]),
zfactor_values=depth)
print('defining zfactor eta')
ieta = cmor.zfactor(
zaxis_id=myaxes[4],
units='m',
zfactor_name='eta',
axis_ids=[
myaxes[2],
myaxes[3]])
print('ieta:', ieta)
pass_axes = [myaxes[4], myaxes[2], myaxes[3]]
print('defining variable')
myvars[0] = cmor.variable(table_entry='thetao',
units='K',
axis_ids=pass_axes,
positive='down'
)
Time = numpy.zeros(ntimes, dtype='d')
bnds_time = numpy.zeros(ntimes * 2, dtype='d')
Time[0], bnds_time[0:2] = read_time(0)
Time[1], bnds_time[2:4] = read_time(1)
for i in range(ntimes):
data3d = numpy.random.random((lev, lon, lat, ntimes)) * 40. + 273.15
eta = numpy.random.random((lon, lat, ntimes)) * 10000.
# print 'writing time: ',i,data3d.shape,data3d
# print Time[i],bnds_time[2*i:2*i+2]
print('Writing time', i, 'for var', data3d.shape)
cmor.write(myvars[0], data3d, 1, time_vals=Time[i],
time_bnds=bnds_time[2 * i:2 * i + 2])
print('Writing time', i, 'for eta')
cmor.write(ieta,
eta,
1,
time_vals=Time[i],
time_bnds=bnds_time[2 * i:2 * i + 2],
store_with=myvars[0])
cmor.close()
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