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Dev netcdf #4

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merged 2 commits into from
Nov 10, 2022
Merged

Dev netcdf #4

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729b14b
save netCDF files for official CPC forecast period
Nov 9, 2022
a2a0909
Resolved readme merge conflict
Nov 10, 2022
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Binary file modified run_code/lib/._driver.py
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10 changes: 7 additions & 3 deletions run_code/lib/driver.py
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Original file line number Diff line number Diff line change
Expand Up @@ -851,7 +851,7 @@ def run_forecast_blend(self,limkey=None,t_init=None,lead_times=np.arange(1,29),f
save_ncds(vardict,coords,filename=os.path.join(save_netcdf_path,f'{varname}.{init_times[-1]:%Y%m%d}.nc'))


def save_netcdf_files(self,varname='T2m',t_init=None,lead_times=None,save_to_path=None,add_offset=None,average=False):
def save_netcdf_files(self,varname='T2m',t_init=None,lead_times=None,save_to_path=None,add_offset=None,average=False,append_name=None):

lead_times = listify(lead_times)
ilt = np.array([self.lead_times.index(l) for l in lead_times])
Expand Down Expand Up @@ -919,8 +919,12 @@ def save_netcdf_files(self,varname='T2m',t_init=None,lead_times=None,save_to_pat
'attrs':{'units':'percent probability above normal'}}
}

save_ncds(vardict,coords,filename=os.path.join(save_to_path,f'{varname}.{t_init:%Y%m%d}.nc'))

if append_name is not None:
varOut_name = varname+append_name
save_ncds(vardict,coords,filename=os.path.join(save_to_path,f'{varOut_name}.{t_init:%Y%m%d}.nc'))
del varOut_name
else:
save_ncds(vardict,coords,filename=os.path.join(save_to_path,f'{varname}.{t_init:%Y%m%d}.nc'))

def plot_map(self,varname='T2m',t_init=None,lead_times=None,gridded=False,fullVariance=False,add_offset=None,\
categories='mean',save_to_path=None,nameconv='',prop={}):
Expand Down
20 changes: 13 additions & 7 deletions run_code/run_for_realtime.py
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Expand Up @@ -116,7 +116,7 @@
lontmp = dstmp['longitude']
for dstmp in dss:
dstmp.coords['longitude'] = lontmp
print(dss)
print(dss)
ds = xr.concat(dss,dim='time').sortby('time')

ds.to_netcdf(f'{dataGetter.savetopath}/{varname}All_TMP.nc')
Expand Down Expand Up @@ -159,12 +159,12 @@
try:
print(f'DOING FORECAST FOR {T_INIT:%Y%m%d}')
LIMdriver.run_forecast_blend(t_init=T_INIT,lead_times=np.arange(0,29+dayoffset),fullVariance=fullVariance,\
save_netcdf_path=None)
save_netcdf_path=None)
except:
print(f'NO BLEND FORECAST FOR {T_INIT:%Y%m%d}')
continue


mapLTs = set([(i,) for i in range(0,29,1)]+[(21,28)]+[(21+dayoffset,),(28+dayoffset,),(21+dayoffset,28+dayoffset)])

def make_maps(LT):
Expand Down Expand Up @@ -208,11 +208,19 @@ def make_loops(varname):
LIMdriver.plot_teleconnection(T_INIT=T_INIT,gridded=True,daysback=60,prop={'dpi':DPI},save_to_path = FCSTDIR)

try:
print(f'SAVING FORECAST FOR {T_INIT:%Y%m%d}')
LIMdriver.save_netcdf_files(varname='T2m',t_init=T_INIT,lead_times=(0,14,21,28),save_to_path=FCSTDIR,add_offset='data_clim/CPC.1991-2020.nc')
print(f'SAVING FORECAST FOR {T_INIT:%Y%m%d}')
LIMdriver.save_netcdf_files(varname='T2m',t_init=T_INIT,lead_times=(0,14,21,28),save_to_path=FCSTDIR,add_offset='data_clim/CPC.1991-2020.nc')
LIMdriver.save_netcdf_files(varname='SLP',t_init=T_INIT,lead_times=(0,14,21,28),save_to_path=FCSTDIR,add_offset='data_clim/SLP.JRA.1991-2020.nc')
LIMdriver.save_netcdf_files(varname='H500',t_init=T_INIT,lead_times=(0,14,21,28),save_to_path=FCSTDIR,add_offset='data_clim/H500.JRA.1991-2020.nc')
LIMdriver.save_netcdf_files(varname='colIrr',t_init=T_INIT,lead_times=(0,14,21,28),save_to_path=FCSTDIR,add_offset='data_clim/colIrr.JRA.1991-2020.nc')

print(f'SAVING CPC PERIOD FORECAST FOR {T_INIT:%Y%m%d}')
var_name_append = '_Week_34_official_CPC_period'
LIMdriver.save_netcdf_files(varname='T2m',t_init=T_INIT,lead_times=(21+dayoffset,28+dayoffset),save_to_path=FCSTDIR,add_offset='data_clim/CPC.1991-2020.nc',append_name=var_name_append)
LIMdriver.save_netcdf_files(varname='SLP',t_init=T_INIT,lead_times=(21+dayoffset,28+dayoffset),save_to_path=FCSTDIR,add_offset='data_clim/SLP.JRA.1991-2020.nc',append_name=var_name_append)
LIMdriver.save_netcdf_files(varname='H500',t_init=T_INIT,lead_times=(21+dayoffset,28+dayoffset),save_to_path=FCSTDIR,add_offset='data_clim/H500.JRA.1991-2020.nc',append_name=var_name_append)
LIMdriver.save_netcdf_files(varname='colIrr',t_init=T_INIT,lead_times=(21+dayoffset,28+dayoffset),save_to_path=FCSTDIR,add_offset='data_clim/colIrr.JRA.1991-2020.nc',append_name=var_name_append)

except:
print(f'NO FORECAST TO SAVE FOR {T_INIT:%Y%m%d}')
continue
Expand Down Expand Up @@ -360,5 +368,3 @@ def make_loops(varname):

# # with mp.Pool(mp.cpu_count()) as pool:
# # pool.map(publish_files,webfiles)