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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,139 @@ | ||
| """ | ||
| Script reads in monthly data from PAMIP experiments using SC-WACCM4 | ||
| for all 100 ensemble members! | ||
| Notes | ||
| ----- | ||
| Author : Zachary Labe | ||
| Date : 12 August 2019 | ||
| Usage | ||
| ----- | ||
| readExperiAll(directory,varid,timeperiod,level) | ||
| """ | ||
|
|
||
| def readExperiAll(varid,timeperiod,level): | ||
| """ | ||
| Function reads monthly data from PAMIP simulations for 300 members | ||
| Parameters | ||
| ---------- | ||
| varid : string | ||
| variable name to read | ||
| timeperiod: string | ||
| time of analysis (Future, Current, Past) | ||
| level : string | ||
| Height of variable (surface or profile) | ||
| Returns | ||
| ------- | ||
| lat : 1d numpy array | ||
| latitudes | ||
| lon : 1d numpy array | ||
| longitudes | ||
| var : 4d numpy array or 5d numpy array | ||
| [year,month,lat,lon] or [year,month,level,lat,lon] | ||
| Usage | ||
| ----- | ||
| lat,lon,lev,var = readExperiAll(varid,timeperiod,level) | ||
| """ | ||
| print('\n>>>>>>>>>> Using readExperiAll function!') | ||
|
|
||
| ### Import modules | ||
| import numpy as np | ||
| from netCDF4 import Dataset | ||
|
|
||
| ########################################################################### | ||
| ########################################################################### | ||
| ########################################################################### | ||
| ### Directories for Antarctic experiments (1-100 members) | ||
| if any([timeperiod=='ANT_Fu',timeperiod=='ANT_Cu',timeperiod=='ANT_Pi']): | ||
| if timeperiod == 'ANT_Fu': | ||
| experi = 'PAMIP-1.8' | ||
| directorydata = '/seley/ypeings/simu/' | ||
| totaldirectory = directorydata + experi + '/monthly/' | ||
| filename = totaldirectory + varid + '_1900-2000.nc' | ||
| print('Reading in Antarctic Future Sea Ice!') | ||
| elif timeperiod == 'ANT_Cu': | ||
| experi = 'PAMIP-1.1' | ||
| directorydata = '/seley/ypeings/simu/' | ||
| totaldirectory = directorydata + experi + '/monthly/' | ||
| filename = totaldirectory + varid + '_1900-2000.nc' | ||
| print('Reading in Antarctic Present-Day Sea Ice!') | ||
| elif timeperiod == 'ANT_Pi': | ||
| experi = 'PAMIP-1.7' | ||
| directorydata = '/seley/ypeings/simu/' | ||
| totaldirectory = directorydata + experi + '/monthly/' | ||
| filename = totaldirectory + varid + '_1900-2000.nc' | ||
| print('Reading in Antarctic Pre-Industrial Sea Ice!') | ||
| else: | ||
| print(ValueError('Selected wrong time period!')) | ||
| else: | ||
| print(ValueError('Selected wrong experiment name!')) | ||
|
|
||
| if varid == 'EGR' and level == 'surface': # integrated from 500-850 hPa | ||
| filename = totaldirectory + varid + '_500_850.nc' | ||
|
|
||
| ### Read in Data | ||
| if level == 'surface': # 3d variables | ||
| data = Dataset(filename,'r') | ||
| lev = 'surface' | ||
| lat = data.variables['latitude'][:] | ||
| lon = data.variables['longitude'][:] | ||
| varq = data.variables['%s' % varid][:] | ||
| data.close() | ||
| elif level == 'profile': # 4d variables | ||
| data = Dataset(filename,'r') | ||
| lev = data.variables['level'][:] | ||
| lat = data.variables['latitude'][:] | ||
| lon = data.variables['longitude'][:] | ||
| varq = data.variables['%s' % varid][:] | ||
| data.close() | ||
| elif level == 'zonmean': # 3d variables (zonal mean!) | ||
| varidz = varid + '_' + level | ||
| filename = totaldirectory + varidz + '_1701-2000.nc' | ||
| data = Dataset(filename,'r') | ||
| lev = data.variables['level'][:] | ||
| lat = data.variables['lat'][:] | ||
| lon = data.variables['lon'][:] | ||
| varq = data.variables['%s' % varid][:].squeeze() | ||
| data.close() | ||
| else: | ||
| print(ValueError('Selected wrong height - (surface or profile!)!')) | ||
| print('Completed: Read data for *%s* : %s!' % (experi[:],varid)) | ||
|
|
||
| ### Reshape to split years and months | ||
| months = 12 | ||
| if level == 'surface': # 3d variables | ||
| var = np.reshape(varq,(varq.shape[0]//months,months, | ||
| int(lat.shape[0]),int(lon.shape[0]))) | ||
| elif level == 'profile': # 4d variables | ||
| var = np.reshape(varq,(varq.shape[0]//months,months,int(lev.shape[0]), | ||
| int(lat.shape[0]),int(lon.shape[0]))) | ||
| elif level == 'zonmean': # 3d variables (zonal mean!) | ||
| var = np.reshape(varq,(varq.shape[0]//months,months,int(lev.shape[0]), | ||
| int(lat.shape[0]))) | ||
| else: | ||
| print(ValueError('Selected wrong height - (surface or profile!)!')) | ||
| print('Completed: Reshaped %s array!' % (varid)) | ||
|
|
||
| ### Convert units | ||
| if varid in ('TEMP','T2M'): | ||
| var = var - 273.15 # Kelvin to degrees Celsius | ||
| print('Completed: Changed units (K to C)!') | ||
| elif varid == 'SWE': | ||
| var = var*1000. # Meters to Millimeters | ||
| print('Completed: Changed units (m to mm)!') | ||
|
|
||
| print('Completed: Read members 1-100!') | ||
|
|
||
| print('>>>>>>>>>> Completed: Finished readExperiAll function!') | ||
| return lat,lon,lev,var | ||
|
|
||
| #### Test function -- no need to use | ||
| #varid = 'T2M' | ||
| #timeperiod = 'ANT_Fu' | ||
| #level = 'surface' | ||
| #lat,lon,lev,var = readExperiAll(varid,timeperiod,level) |