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Merge pull request #356 from PCMDI/issue_351_half_levels
Issue 351 half levels
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Original file line number | Diff line number | Diff line change |
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*.pyc | ||
*.gcno | ||
*.gcda | ||
*.dSYM | ||
.cproject | ||
.project | ||
.settings/ | ||
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import numpy | ||
import cmor | ||
import os | ||
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specs = {"CLOUD": {"convert": [2.0, 0.], "units": "%", "entry": "cl", "positive": ""}, | ||
"U": {"convert": [1., -40.], "units": "m s-1", "entry": "ua", "positive": ""}, | ||
"T": {"convert": [1., 220], "units": "K", "entry": "ta", "positive": ""}, | ||
"LATENT": {"convert": [4., 0.], "units": "W m-2", "entry": "hfls", "positive": "down"}, | ||
"TSURF": {"convert": [1., -15.], "units": "Celsius", "entry": "tas", "positive": ""}, | ||
"PSURF": {"convert": [3., 900.], "units": "hPa", "entry": "ps", "positive": ""}, | ||
"SOIL_WET": {"convert": [2., 0.], "units": "kg m-2", "entry": "mrsos", "positive": ""}, | ||
"MC": {"convert": [2., 0.], "units": "kg m-2 s-1", "entry": "mc", "positive": "up"}, | ||
"BS": {"convert": [2., 0.], "units": "m-1 sr-1", "entry": "bs550aer", "positive": ""}, | ||
} | ||
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def read_coords(nlats, nlons): | ||
alons = (360.*numpy.arange(nlons)/nlons+.5) - 180. | ||
blons = numpy.zeros((nlons, 2), dtype=float) | ||
blons[:, 0] = 360.*numpy.arange(nlons)/nlons - 180. | ||
blons[:, 1] = 360.*numpy.arange(1, nlons+1)/nlons - 180. | ||
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alats = (180.*numpy.arange(nlats)/nlats+.5) - 90. | ||
blats = numpy.zeros((nlats, 2), dtype=float) | ||
blats[:, 0] = 180.*numpy.arange(nlats)/nlats - 90. | ||
blats[:, 1] = 180.*numpy.arange(1, nlats+1)/nlats - 90. | ||
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levs = numpy.array([1., 5., 10, 20, 30, 50, 70, 100, 150, | ||
200, 250, 300, 400, 500, 600, 700, 850, 925, 1000]) | ||
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return alats, blats, alons, blons, levs | ||
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def read_time(index, refyear=2015., monthdays=30., yeardays=360.): | ||
time0 = (refyear - 1850.) * yeardays | ||
time = time0 + (index + 0.5) * monthdays | ||
b1 = time0 + (index) * monthdays | ||
b2 = time0 + (index+1) * monthdays | ||
return numpy.array([time]), numpy.array([b1, b2]) | ||
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def read_3d_input_files(index, varname, shape): | ||
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print "3d shape", shape | ||
field = numpy.zeros(shape, dtype=numpy.float32) | ||
factor, offset = specs[varname]["convert"] | ||
for i in range(field.shape[2]): # lon | ||
for j in range(field.shape[1]): # lat | ||
for k in range(field.shape[0]): # levs | ||
if i == 0: | ||
field[k, j, 0] = ((k)*3 + (j)*16 + index) * \ | ||
factor + offset + 0.225 | ||
else: | ||
field[k, j, i] = ((k)*3 + (j)*16 + index + | ||
4*i-2)*factor + offset + 0.225 | ||
return field | ||
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def read_2d_input_files(index, varname, shape): | ||
sh = list(shape) | ||
sh.insert(0, 1) | ||
return read_3d_input_files(index, varname, sh)[0] | ||
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# PARAMETERS | ||
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ntimes = 2 | ||
lon = 4 | ||
lat = 3 | ||
plev = 19 | ||
lev = 5 | ||
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p0 = 1.e3 | ||
a_coeff = [0.1, 0.2, 0.3, 0.22, 0.1] | ||
b_coeff = [0.0, 0.1, 0.2, 0.5, 0.8] | ||
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a_coeff_bnds = [0., .15, .25, .25, .16, 0.] | ||
b_coeff_bnds = [0., .05, .15, .35, .65, 1.] | ||
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zlevs = numpy.array([.1, .3, .55, .7, .9]) | ||
zlev_bnds = numpy.array([0., .2, .42, .62, .8, 1.]) | ||
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alats, bnds_lat, alons, bnds_lon, plevs = read_coords(lat, lon) | ||
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def init_cmor(pth, dataset_json): | ||
ierr = cmor.setup(inpath=os.path.join(pth, "Test"), | ||
netcdf_file_action=cmor.CMOR_REPLACE) #, logfile="CMOR.log") | ||
ierr = cmor.dataset_json(os.path.join(pth, "Test", dataset_json)) | ||
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def read_cmor_time_lat_lon(): | ||
ilat = cmor.axis( | ||
table_entry='latitude', | ||
units='degrees_north', | ||
length=lat, | ||
coord_vals=alats, | ||
cell_bounds=bnds_lat) | ||
print("ILAT:", ilat) | ||
print(lon, alons, bnds_lon) | ||
ilon = cmor.axis( | ||
table_entry='longitude', | ||
coord_vals=alons, | ||
units='degrees_east', | ||
cell_bounds=bnds_lon) | ||
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print("ILON:", ilon) | ||
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itim = cmor.axis( | ||
table_entry="time", | ||
units="days since 1850", | ||
length=ntimes) | ||
return itim, ilat, ilon |
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