def test_bunkers_motion():
"""Test Bunkers storm motion with observed sounding."""
data = get_upper_air_data(datetime(2016, 5, 22, 0), 'DDC')
motion = concatenate(bunkers_storm_motion(data['pressure'],
data['u_wind'], data['v_wind'],
data['height']))
truth = [1.4537892577864744, 2.0169333025630616, 10.587950761120482, 13.915130377372801,
6.0208700094534775, 7.9660318399679308] * units('m/s')
assert_almost_equal(motion.flatten(), truth, 8)
def test_bunkers_motion():
"""Test Bunkers storm motion with observed sounding."""
data = get_upper_air_data(datetime(2016, 5, 22, 0), 'DDC')
motion = concatenate(bunkers_storm_motion(data['pressure'],
data['u_wind'], data['v_wind'],
data['height']))
truth = [2.18346161, 0.86094706, 11.6006767, 12.53639395, 6.89206916,
6.69867051] * units('m/s')
assert_almost_equal(motion.flatten(), truth, 8)
def test_bunkers_motion():
"""Test Bunkers storm motion with observed sounding."""
data = get_upper_air_data(datetime(2016, 5, 22, 0), 'DDC')
motion = concatenate(bunkers_storm_motion(data['pressure'],
data['u_wind'], data['v_wind'],
data['height']))
truth = [1.4537892577864744, 2.0169333025630616, 10.587950761120482, 13.915130377372801,
6.0208700094534775, 7.9660318399679308] * units('m/s')
assert_almost_equal(motion.flatten(), truth, 8)
def do_profile(cursor, fid, gdf, nt):
"""Process this profile."""
# The inbound profile may contain mandatory level data that is below
# the surface. It seems the best we can do here is to ensure both
# temperature and dewpoint are valid and call that the bottom.
td_profile = gdf[pd.notnull(gdf["tmpc"]) & pd.notnull(gdf["dwpc"])]
wind_profile = gdf[pd.notnull(gdf["u"])]
# Presently we are all or nothing here. The length is arb
if len(td_profile.index) < 5 or len(wind_profile.index) < 5:
msg = ("quorum fail td: %s wind: %s, skipping") % (
len(td_profile.index),
len(wind_profile.index),
)
raise ValueError(msg)
if gdf["pressure"].min() > 500:
raise ValueError("Profile only up to %s mb" %
(gdf["pressure"].min(), ))
# Does a crude check that our metadata station elevation is within 50m
# of the profile bottom, otherwise we ABORT
station_elevation_m = get_station_elevation(td_profile, nt)
# get surface wind
u_sfc, v_sfc = get_surface_winds(wind_profile)
u_1km, v_1km = get_aloft_winds(wind_profile, station_elevation_m + 1000.0)
u_3km, v_3km = get_aloft_winds(wind_profile, station_elevation_m + 3000.0)
u_6km, v_6km = get_aloft_winds(wind_profile, station_elevation_m + 6000.0)
shear_sfc_1km_smps = np.sqrt((u_1km - u_sfc)**2 + (v_1km - v_sfc)**2)
shear_sfc_3km_smps = np.sqrt((u_3km - u_sfc)**2 + (v_3km - v_sfc)**2)
shear_sfc_6km_smps = np.sqrt((u_6km - u_sfc)**2 + (v_6km - v_sfc)**2)
total_totals = compute_total_totals(td_profile)
sweat_index = compute_sweat_index(td_profile, total_totals)
try:
bunkers_rm, bunkers_lm, mean0_6_wind = bunkers_storm_motion(
wind_profile["pressure"].values * units.hPa,
wind_profile["u"].values * units("m/s"),
wind_profile["v"].values * units("m/s"),
wind_profile["height"].values * units("m"),
)
except ValueError:
# Profile may not go up high enough
bunkers_rm = [np.nan * units("m/s"), np.nan * units("m/s")]
bunkers_lm = [np.nan * units("m/s"), np.nan * units("m/s")]
mean0_6_wind = [np.nan * units("m/s"), np.nan * units("m/s")]
bunkers_rm_smps = wind_speed(bunkers_rm[0], bunkers_rm[1])
bunkers_rm_drct = wind_direction(bunkers_rm[0], bunkers_rm[1])
bunkers_lm_smps = wind_speed(bunkers_lm[0], bunkers_lm[1])
bunkers_lm_drct = wind_direction(bunkers_lm[0], bunkers_lm[1])
mean0_6_wind_smps = wind_speed(mean0_6_wind[0], mean0_6_wind[1])
mean0_6_wind_drct = wind_direction(mean0_6_wind[0], mean0_6_wind[1])
try:
(
srh_sfc_1km_pos,
srh_sfc_1km_neg,
srh_sfc_1km_total,
) = storm_relative_helicity(
wind_profile["height"].values * units("m"),
wind_profile["u"].values * units("m/s"),
wind_profile["v"].values * units("m/s"),
1000.0 * units("m"),
)
except ValueError:
srh_sfc_1km_pos = np.nan * units("m") # blah
srh_sfc_1km_neg = np.nan * units("m") # blah
srh_sfc_1km_total = np.nan * units("m") # blah
try:
(
srh_sfc_3km_pos,
srh_sfc_3km_neg,
srh_sfc_3km_total,
) = storm_relative_helicity(
wind_profile["height"].values * units("m"),
wind_profile["u"].values * units("m/s"),
wind_profile["v"].values * units("m/s"),
3000.0 * units("m"),
)
except ValueError:
srh_sfc_3km_pos = np.nan * units("m") # blah
srh_sfc_3km_neg = np.nan * units("m") # blah
srh_sfc_3km_total = np.nan * units("m") # blah
pwater = precipitable_water(
td_profile["pressure"].values * units.hPa,
td_profile["dwpc"].values * units.degC,
)
(sbcape, sbcin) = surface_based_cape_cin(
td_profile["pressure"].values * units.hPa,
td_profile["tmpc"].values * units.degC,
td_profile["dwpc"].values * units.degC,
)
(mucape, mucin) = most_unstable_cape_cin(
td_profile["pressure"].values * units.hPa,
td_profile["tmpc"].values * units.degC,
td_profile["dwpc"].values * units.degC,
)
(mlcape, mlcin) = mixed_layer_cape_cin(
td_profile["pressure"].values * units.hPa,
td_profile["tmpc"].values * units.degC,
td_profile["dwpc"].values * units.degC,
)
el_p, el_t = el(
td_profile["pressure"].values * units.hPa,
td_profile["tmpc"].values * units.degC,
td_profile["dwpc"].values * units.degC,
)
lfc_p, lfc_t = lfc(
td_profile["pressure"].values * units.hPa,
td_profile["tmpc"].values * units.degC,
td_profile["dwpc"].values * units.degC,
)
(lcl_p, lcl_t) = lcl(
td_profile["pressure"].values[0] * units.hPa,
td_profile["tmpc"].values[0] * units.degC,
td_profile["dwpc"].values[0] * units.degC,
)
vals = [
el_p.to(units("hPa")).m,
lfc_p.to(units("hPa")).m,
lcl_p.to(units("hPa")).m,
]
[el_hght, lfc_hght, lcl_hght] = log_interp(
np.array(vals, dtype="f"),
td_profile["pressure"].values[::-1],
td_profile["height"].values[::-1],
)
el_agl = gt1(el_hght - station_elevation_m)
lcl_agl = gt1(lcl_hght - station_elevation_m)
lfc_agl = gt1(lfc_hght - station_elevation_m)
args = (
nonull(sbcape.to(units("joules / kilogram")).m),
nonull(sbcin.to(units("joules / kilogram")).m),
nonull(mucape.to(units("joules / kilogram")).m),
nonull(mucin.to(units("joules / kilogram")).m),
nonull(mlcape.to(units("joules / kilogram")).m),
nonull(mlcin.to(units("joules / kilogram")).m),
nonull(pwater.to(units("mm")).m),
nonull(el_agl),
nonull(el_p.to(units("hPa")).m),
nonull(el_t.to(units.degC).m),
nonull(lfc_agl),
nonull(lfc_p.to(units("hPa")).m),
nonull(lfc_t.to(units.degC).m),
nonull(lcl_agl),
nonull(lcl_p.to(units("hPa")).m),
nonull(lcl_t.to(units.degC).m),
nonull(total_totals),
nonull(sweat_index),
nonull(bunkers_rm_smps.m),
nonull(bunkers_rm_drct.m),
nonull(bunkers_lm_smps.m),
nonull(bunkers_lm_drct.m),
nonull(mean0_6_wind_smps.m),
nonull(mean0_6_wind_drct.m),
nonull(srh_sfc_1km_pos.m),
nonull(srh_sfc_1km_neg.m),
nonull(srh_sfc_1km_total.m),
nonull(srh_sfc_3km_pos.m),
nonull(srh_sfc_3km_neg.m),
nonull(srh_sfc_3km_total.m),
nonull(shear_sfc_1km_smps),
nonull(shear_sfc_3km_smps),
nonull(shear_sfc_6km_smps),
fid,
)
cursor.execute(
"""
UPDATE raob_flights SET sbcape_jkg = %s, sbcin_jkg = %s,
mucape_jkg = %s, mucin_jkg = %s,
mlcape_jkg = %s, mlcin_jkg = %s, pwater_mm = %s,
el_agl_m = %s, el_pressure_hpa = %s, el_tmpc = %s,
lfc_agl_m = %s, lfc_pressure_hpa = %s, lfc_tmpc = %s,
lcl_agl_m = %s, lcl_pressure_hpa = %s, lcl_tmpc = %s,
total_totals = %s, sweat_index = %s,
bunkers_rm_smps = %s, bunkers_rm_drct = %s,
bunkers_lm_smps = %s, bunkers_lm_drct = %s,
mean_sfc_6km_smps = %s, mean_sfc_6km_drct = %s,
srh_sfc_1km_pos = %s, srh_sfc_1km_neg = %s, srh_sfc_1km_total = %s,
srh_sfc_3km_pos = %s, srh_sfc_3km_neg = %s, srh_sfc_3km_total = %s,
shear_sfc_1km_smps = %s, shear_sfc_3km_smps = %s,
shear_sfc_6km_smps = %s,
computed = 't' WHERE fid = %s
""",
args,
)
def bunkers_storm_motion(self):
return mpcalc.bunkers_storm_motion(self.p, self.u, self.v, self.z)