A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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from __future__ import (absolute_import, division, print_function)
from .util import extract_vars
def get_accum_precip(wrfin, timeidx=0):
ncvars = extract_vars(wrfin, timeidx, varnames=("RAINC", "RAINNC"))
rainc = ncvars["RAINC"]
rainnc = ncvars["RAINNC"]
rainsum = rainc + rainnc
return rainsum
def get_precip_diff(wrfin1, wrfin2, timeidx=0):
vars1 = extract_vars(wrfin1, timeidx, varnames=("RAINC", "RAINNC"))
vars2 = extract_vars(wrfin2, timeidx, varnames=("RAINC", "RAINNC"))
rainc1 = vars1["RAINC"]
rainnc1 = vars1["RAINNC"]
rainc2 = vars2["RAINC"]
rainnc2 = vars2["RAINNC"]
rainsum1 = rainc1 + rainnc1
rainsum2 = rainc2 + rainnc2
return (rainsum1 - rainsum2)
# TODO: Handle bucket flipping