def test_refet_daily_values(daily_params):
"""Test daily RefET calculation at a single point and time"""
# If I don't copy, the pop changes the test values in daily_data()
inputs = daily_params.copy()
surface = inputs.pop('surface')
expected = inputs.pop('expected')
# print('ETr: {}'.format(expected))
# ETr/ETo values only have 4 significant figures
# Small number of days don't match if difference is set < 0.008
diff = 0.05 if expected >= 10.0 else 0.008
if surface.lower() == 'etr':
assert float(Daily(**inputs).etr()) == pytest.approx(expected,
abs=diff)
elif surface.lower() == 'eto':
assert float(Daily(**inputs).eto()) == pytest.approx(expected,
abs=diff)
def test_refet_daily_default_method():
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy']).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def test_refet_daily_eto():
eto = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
method='refet').eto()
assert float(eto) == pytest.approx(d_args['eto_refet'])
def test_refet_daily_etsz(surface, expected):
etsz = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
method='refet').etsz(surface)
assert float(etsz) == pytest.approx(expected)
def test_refet_daily_method(method, expected):
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
method=method).etr()
assert float(etr) == pytest.approx(expected)
def test_refet_daily_rso_type_simple():
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
method='refet',
rso_type='simple').etr()
assert float(etr) == pytest.approx(d_args['etr_rso_simple'])
def test_refet_daily_rso_type_exception():
with pytest.raises(ValueError):
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
method='refet',
rso_type='nonsense').etr()
def test_refet_daily_lat_rad():
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'] * math.pi / 180,
doy=d_args['doy'],
input_units={
'lat': 'rad'
}).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def test_refet_daily_elev_ft():
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'] / 0.3048,
lat=s_args['lat'],
doy=d_args['doy'],
input_units={
'elev': 'ft'
}).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def test_refet_daily_rs_langleys():
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'] / 0.041868,
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
input_units={
'rs': 'Langleys'
}).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def test_refet_daily_tmin_f():
etr = Daily(tmin=d_args['tmin'] * (9.0 / 5) + 32,
tmax=d_args['tmax'],
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
input_units={
'tmin': 'F'
}).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def test_refet_daily_tmax_k():
print(d_args['tmin'])
etr = Daily(tmin=d_args['tmin'],
tmax=d_args['tmax'] + 273.15,
ea=d_args['ea'],
rs=d_args['rs'],
uz=d_args['uz'],
zw=s_args['zw'],
elev=s_args['elev'],
lat=s_args['lat'],
doy=d_args['doy'],
input_units={
'tmax': 'K'
}).etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
def mesonet_etr(self, lat=46.3, elevation=1000):
t_dew = dewpoint_temp(self.table['Vapor Pressure'].resample('D').mean().values)
ea = calcs._sat_vapor_pressure(t_dew)
tmax_series = self.table['Air Temperature']
tmax = tmax_series.resample('D').max().values
tmin = self.table['Air Temperature'].resample('D').min().values
daily = tmax_series.resample('D').mean()
doy = daily.index.strftime('%j').astype(int).values
rs = self.table['Solar Radiation'].resample('D').mean().values * 0.0864
uz = self.table['Wind Speed'].resample('D').mean().values
zw = 2.4
etr = Daily(tmin=tmin, tmax=tmax, ea=ea, rs=rs, uz=uz, zw=zw, elev=elevation,
lat=lat, doy=doy).etr()
df = DataFrame(data=[doy, rs, etr, uz, ea, t_dew, tmax, tmin]).transpose()
df.columns = ['DOY', 'SR', 'ETR', 'UZ', 'EA', 'TDew', 'TMax', 'TMin']
df.index = date_range(self.table.index.min(), self.table.index.max(), freq='D')
return df
def get_agrimet_etr(self, yr, first=False):
agrimet = Agrimet(station=self.station, start_date=START.format(yr),
end_date=END.format(yr), interval='daily')
formed = agrimet.fetch_met_data()
if isnull(formed['ETRS']).values.sum() == formed['ETRS'].shape[0]:
agri_etr = formed['ETRS'].groupby(lambda x: x.month).sum().values
else:
agri_etr = formed['ETRS'].groupby(lambda x: x.month).sum().values
if first:
self.elev = get_elevation(agrimet.station_coords[0], agrimet.station_coords[1])
print('Station {}'.format(self.station))
if formed['YM'].values.mean() != nan:
t_dew = formed['YM'].values
ea = calcs._sat_vapor_pressure(t_dew)[0]
tmin, tmax = formed['MN'].values, formed['MX'].values
try:
doy = formed.index.strftime('%j').astype(int).values
except AttributeError:
doy = formed.index.strftime('%j').astype(int)
doy = doy.reshape((len(doy), 1))[0]
lat = agrimet.station_coords[0]
rs = formed['SR'].values
uz = formed['UA'].values
zw = 2.0
formed['calc_etr'] = Daily(tmin=tmin, tmax=tmax, ea=ea, rs=rs, uz=uz, zw=zw, elev=self.elev,
lat=lat, doy=doy).etr()
calc_etr = formed['calc_etr'].groupby(lambda x: x.month).sum().values
else:
calc_etr = empty(agri_etr.shape)
calc_etr[:] = 0.0
return agri_etr, calc_etr
def test_refet_daily_input_positions():
etr = Daily(d_args['tmin'], d_args['tmax'], d_args['ea'], d_args['rs'],
d_args['uz'], s_args['zw'], s_args['elev'], s_args['lat'],
d_args['doy'], 'asce').etr()
assert float(etr) == pytest.approx(d_args['etr_asce'])
