A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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import sys
import unittest as ut
import numpy.testing as nt
import numpy as np
import numpy.ma as ma
from netCDF4 import Dataset as nc
from wrf import getvar
TEST_FILE = "/Users/ladwig/Documents/wrf_files/wrfout_d01_2010-06-13_21:00:00"
# Python 3
if sys.version_info > (3,):
xrange = range
class TestUnits(ut.TestCase):
longMessage = True
def test_temp_units(self):
wrfnc = nc(TEST_FILE)
for units in ("K", "degC", "degF"):
var = getvar(wrfnc, "temp", units=units)
self.assertEqual(var.attrs["units"], units)
def test_wind_units(self):
wrfnc = nc(TEST_FILE)
for units in ("m s-1", "kt", "mi h-1", "km h-1", "ft s-1"):
var = getvar(wrfnc, "uvmet", units=units)
self.assertEqual(var.attrs["units"], units)
def test_pres_units(self):
wrfnc = nc(TEST_FILE)
for units in ("Pa", "hPa", "mb", "torr", "mmHg", "atm"):
var = getvar(wrfnc, "slp", units=units)
self.assertEqual(var.attrs["units"], units)
def test_height_units(self):
wrfnc = nc(TEST_FILE)
for units in ("m", "km", "dam", "ft", "mi"):
var = getvar(wrfnc, "z", units=units)
self.assertEqual(var.attrs["units"], units)
if __name__ == "__main__":
ut.main()