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Create class to generate idealized soundings from real data #2

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Create class to generate idealized soundings from real data #2

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21 changes: 21 additions & 0 deletions erftools/preprocessing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -165,3 +165,24 @@ def mapfun(idx):
self.erf_input['erf.most.z0'] = z0mean


class RealSounding(object):
"""Class to extract soundings from WPS output"""

def __init__(self,met_em_path):
self.load_met_em(met_em_path)

def load_met_em(self,fpath):
ds = xr.open_dataset(fpath)
self.U = ds['UU'] # staggered in west_east dir [m/s]
self.V = ds['VV'] # staggered in south_north dir [m/s]
self.P = ds['PRES'] # unstaggered [Pa]
self.T = ds['TT'] # unstaggered [K]
self.RH = ds['RH'] # unstaggered [%]
# see https://github.com/a2e-mmc/mmctools/blob/master/mmctools/helper_functions.py#L104
# for calculating vapor mixing ratio
# see https://github.com/a2e-mmc/mmctools/blob/master/mmctools/helper_functions.py#L76
# for calculating virtual temperature (to get virtual potential temperature)

def write(self,soundingfile):
print('Wrote',soundingfile)