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Fix wet_bulb_temperature with nans #1811

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14 changes: 12 additions & 2 deletions src/metpy/calc/thermo.py
Expand Up @@ -304,6 +304,9 @@ def dt(t, p):
if reference_pressure is None:
reference_pressure = pressure[0]

if np.isnan(reference_pressure):
return units.Quantity(np.full(pressure.shape, np.nan), temperature.units)

pressure = pressure.to('mbar')
reference_pressure = reference_pressure.to('mbar')
temperature = np.atleast_1d(temperature)
Expand Down Expand Up @@ -342,7 +345,7 @@ def dt(t, p):
@preprocess_and_wrap()
@check_units('[pressure]', '[temperature]', '[temperature]')
def lcl(pressure, temperature, dewpoint, max_iters=50, eps=1e-5):
r"""Calculate the lifted condensation level (LCL) using from the starting point.
r"""Calculate the lifted condensation level (LCL) from the starting point.

The starting state for the parcel is defined by `temperature`, `dewpoint`,
and `pressure`. If these are arrays, this function will return a LCL
Expand Down Expand Up @@ -399,12 +402,19 @@ def lcl(pressure, temperature, dewpoint, max_iters=50, eps=1e-5):

"""
def _lcl_iter(p, p0, w, t):
nonlocal nan_mask
td = globals()['dewpoint'](vapor_pressure(units.Quantity(p, pressure.units), w))
return (p0 * (td / t) ** (1. / mpconsts.kappa)).m
p_new = (p0 * (td / t) ** (1. / mpconsts.kappa)).m
nan_mask = nan_mask | np.isnan(p_new)
return np.where(np.isnan(p_new), p, p_new)

# Handle nans by creating a mask that gets set by our _lcl_iter function if it
# ever encounters a nan, at which point pressure is set to p, stopping iteration.
nan_mask = False
w = mixing_ratio(saturation_vapor_pressure(dewpoint), pressure)
lcl_p = so.fixed_point(_lcl_iter, pressure.m, args=(pressure.m, w, temperature),
xtol=eps, maxiter=max_iters)
lcl_p = np.where(nan_mask, np.nan, lcl_p)

# np.isclose needed if surface is LCL due to precision error with np.log in dewpoint.
# Causes issues with parcel_profile_with_lcl if removed. Issue #1187
Expand Down
59 changes: 59 additions & 0 deletions tests/calc/test_thermo.py
Expand Up @@ -153,6 +153,18 @@ def test_moist_lapse_uniform():
assert_almost_equal(temp, np.array([20., 20., 20.]) * units.degC, 7)


def test_moist_lapse_nan_temp():
"""Test moist_lapse when given nan for temperature."""
temp = moist_lapse(40 * units.hPa, np.nan * units.degC, 400 * units.hPa)
assert_nan(temp, units.degC)


def test_moist_lapse_nan_ref_press():
"""Test moist_lapse when given nans for reference pressure."""
temp = moist_lapse(40 * units.hPa, -20 * units.degC, np.nan * units.hPa)
assert_nan(temp, units.degC)


def test_parcel_profile():
"""Test parcel profile calculation."""
levels = np.array([1000., 900., 800., 700., 600., 500., 400.]) * units.mbar
Expand Down Expand Up @@ -336,6 +348,19 @@ def test_lcl_convergence():
lcl(1000. * units.mbar, 30. * units.degC, 20. * units.degC, max_iters=2)


def test_lcl_nans():
"""Test LCL calculation on data with nans."""
press = np.array([900., 900., 900., 900.]) * units.hPa
temp = np.array([np.nan, 25., 25., 25.]) * units.degC
dewp = np.array([20., 20., np.nan, 20.]) * units.degC
lcl_press, lcl_temp = lcl(press, temp, dewp)

assert_array_almost_equal(lcl_press, np.array([np.nan, 836.4098648012595,
np.nan, 836.4098648012595]) * units.hPa)
assert_array_almost_equal(lcl_temp, np.array([np.nan, 18.82281982535794,
np.nan, 18.82281982535794]) * units.degC)


def test_lfc_basic():
"""Test LFC calculation."""
levels = np.array([959., 779.2, 751.3, 724.3, 700., 269.]) * units.mbar
Expand Down Expand Up @@ -1468,6 +1493,40 @@ def test_wet_bulb_temperature_2d():
assert_array_almost_equal(val, truth, 5)


def test_wet_bulb_nan():
"""Test wet bulb calculation with nans."""
pressure = [1000.0, 975.0, 950.0, 925.0, 900.0, 850.0, 800.0, 750.0, 700.0, 650.0, 600.0,
550.0, 500.0, 450.0, 400.0, 350.0, 300.0, 250.0, 200.0, 150.0, 100.0, 70.0,
50.0, 40.0, 30.0, 20.0, 15.0, 10.0, 7.0, 5.0, 3.0, 2.0, 1.0, 0.4] * units.hPa
dewpoint = [18.26819029083491, 17.461145433226555, 16.336553308346822, 13.115820973342743,
6.143452735189838, -0.2623966010678873, -3.3370926082535926,
-6.550658968811679, -9.53219938820244, -14.238884651017894, -22.66240089860936,
-30.84751911458423, -33.68444429930677, -33.758997581695766,
-44.84378577284087, -43.464276398501696, -60.91091595765517,
-59.34560239336541, -77.78116414272493, -77.3133221938806, -82.27649829610058,
-83.63567550304444, -84.52241968178798, np.nan, -90.08663879090643,
-88.4437696852317, np.nan, -89.92561301616831, np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan] * units.degC
temperature = [21.38790283, 19.25753174, 17.29430542, 16.52999878, 16.88999023,
15.28999634, 12.13189697, 8.73193359, 5.1416748, 1.52350464, -2.15553589,
-6.14998169, -11.08999634, -17.96802979, -25.26040649, -32.41000061,
-41.09917908, -45.71267395, -48.46999512, -59.97120056, -74.6106781,
-79.78999329, -74.53684082, -63.49831848, -58.1831604, -53.39454041,
-48.2122467, -39.66942444, -34.30999451, -33.35002747, -23.31001892,
-14.55002441, -11.74678955, -25.58999634] * units.degC

val = wet_bulb_temperature(pressure, temperature, dewpoint)
truth = [19.238071735308814, 18.033294139060633, 16.65179610640866, 14.341431051131467,
10.713278865013098, 7.2703265785039, 4.63234087372236, 1.8324379627895773,
-1.0154897545814394, -4.337334561885717, -8.23596994210175, -11.902727397896111,
-15.669313544076992, -20.78875735056887, -27.342629368898884, -33.42946313024462,
-41.8026422159221, -46.17279371976847, -48.99179569697857, -60.13602538549741,
-74.63516192059605, -79.80028104362006, -74.59295016865613, np.nan,
-59.20059644897026, -55.76040402608365, np.nan, -49.692666440433335, np.nan,
np.nan, np.nan, np.nan, np.nan, np.nan] * units.degC
assert_array_almost_equal(val, truth, 5)


def test_static_stability_adiabatic():
"""Test static stability calculation with a dry adiabatic profile."""
pressures = [1000., 900., 800., 700., 600., 500.] * units.hPa
Expand Down