A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

39 lines
1.3 KiB

from __future__ import (absolute_import, division, print_function,
unicode_literals)
from .decorators import convert_units
from .metadecorators import copy_and_set_metadata
from .util import extract_vars, either
@copy_and_set_metadata(copy_varname=either("P", "PRES"), name="pressure",
description="pressure")
@convert_units("pressure", "pa")
def get_pressure(wrfnc, timeidx=0, method="cat", squeeze=True,
cache=None, meta=True, _key=None,
units="pa"):
varname = either("P", "PRES")(wrfnc)
if varname == "P":
p_vars = extract_vars(wrfnc, timeidx, ("P", "PB"),
method, squeeze, cache, meta=False,
_key=_key)
p = p_vars["P"]
pb = p_vars["PB"]
pres = p + pb
else:
pres = extract_vars(wrfnc, timeidx, "PRES",
method, squeeze, cache, meta=False,
_key=_key)["PRES"]
return pres
def get_pressure_hpa(wrfnc, timeidx=0, method="cat", squeeze=True,
cache=None, meta=True, _key=None,
units="hpa"):
return get_pressure(wrfnc, timeidx, method, squeeze, cache, meta, _key,
units)