def make_skewt_axes(self,pmax=1050.,pmin=100.,tmin=-40.,tmax=30.):
"""Set up the skew-t axis the way I like to see it"""
self.fig = figure(figsize=(8,8))
self.fig.clf()
rcParams.update({\
'font.size':10,\
})
self.skewxaxis=self.fig.add_axes([.065,.1,.71,.8], projection='skewx')
self.skewxaxis.set_yscale('log')
self.skewxaxis.pmax=pmax
self.skewxaxis.pmin=pmin
self.skewxaxis.tmax=tmax
self.skewxaxis.tmin=tmin
xticklocs=arange(-80,45,10)
T0 = xticklocs
# P=linspace(pmax,pmin,101)
P=logspace(log10(pmax),log10(pmin),101)
w = array([0.00001,0.0001,0.0004,0.001, 0.002, 0.004, 0.007, 0.01, 0.016, 0.024, 0.032])
self.skewxaxis.add_mixratio_isopleths(w,P[P>=700],color='g',ls='--',alpha=1.,lw=0.5)
self.skewxaxis.add_dry_adiabats(linspace(210,550,18)-degCtoK,P,color='g',ls='--',alpha=1.,lw=0.5)
self.skewxaxis.add_moist_adiabats(linspace(0,44,12),pmax,color='g',ls='--',alpha=1.,lw=0.5)
#self.skewxaxis.add_moist_adiabats(linspace(0,38,12),pmax,color='g',ls='--',alpha=1.,lw=0.5)
self.skewxaxis.set_title("%s %s"%(self['StationNumber'],self['SoundingDate']))
self.skewxaxis.other_housekeeping()
self.wbax=self.fig.add_axes([0.685,0.1,0.1,0.8],sharey=self.skewxaxis,frameon=False)
self.wbax.xaxis.set_ticks([],[])
self.wbax.yaxis.grid(True,ls='-',color='y',lw=0.5)
for tick in self.wbax.yaxis.get_major_ticks():
# tick.label1On = False
pass
self.wbax.get_yaxis().set_tick_params(size=0,color='y')
self.wbax.set_xlim(-1.5,1.5)
self.wbax.get_yaxis().set_visible(False)
self.wbax.set_title('kn',fontsize=10,color='k',ha='right')
# Set up standard atmosphere height scale on
# LHS of plot.
majorLocatorKM = MultipleLocator(2)
majorLocatorKFT = MultipleLocator(5)
minorLocator = MultipleLocator(1)
# determine base height from base pressure (nominally 1050 hPa)
# via hydrostatic equilibrium for standard atmosphere
# model atmospheric conditions with constant lapse rate and
# NIST (1013.25hPa and 20C)
zmin=barometric_equation_inv(0,293.15,101325.,pmax*100.)
zmax=barometric_equation_inv(0,293.15,101325.,pmin*100.)
zminf=zmin*3.2808
zmaxf=zmax*3.2808
self.kmhax=self.fig.add_axes([0.775,0.1,1e-6,0.8],frameon=True)
self.kmhax.xaxis.set_ticks([],[])
self.kmhax.spines['left'].set_color('k')
self.kmhax.spines['right'].set_visible(False)
self.kmhax.tick_params(axis='y', colors='k',labelsize=8)
self.kmhax.set_ylim(zmin*1e-3,zmax*1e-3)
self.kmhax.set_title("km/kft",fontsize=10)
self.kmhax.get_yaxis().set_tick_params(which="both",direction='out')
self.kmhax.yaxis.set_major_locator(majorLocatorKM)
self.kmhax.yaxis.set_minor_locator(minorLocator)
self.fthax=self.kmhax.twinx()
self.fthax.xaxis.set_ticks([],[])
self.fthax.tick_params(axis='y', colors='k',labelsize=8)
self.fthax.set_ylim(zminf*1e-3,zmaxf*1e-3)
self.fthax.get_yaxis().set_tick_params(which="both",direction='out')
self.fthax.yaxis.set_major_locator(majorLocatorKFT)
self.fthax.yaxis.set_minor_locator(minorLocator)
def make_skewt_axes(self, pmax=1050., pmin=100., tmin=-40., tmax=30.,
fig=None):
"""Set up the skew-t axis the way I like to see it"""
if fig is None:
self.fig = figure(figsize=(8, 8))
# self.fig.clf()
else:
self.fig = fig
rcParams.update({'font.size': 10, })
self.skewxaxis = self.fig.add_axes([.065, .1, .71, .8],
projection='skewx')
self.skewxaxis.set_yscale('log')
self.skewxaxis.pmax = pmax
self.skewxaxis.pmin = pmin
self.skewxaxis.tmax = tmax
self.skewxaxis.tmin = tmin
xticklocs = arange(-80, 45, 10)
T0 = xticklocs
# P=linspace(pmax,pmin,101)
P = logspace(log10(pmax), log10(pmin), 101)
w = array([0.00001, 0.0001, 0.0004, 0.001, 0.002, 0.004,
0.007, 0.01, 0.016, 0.024, 0.032])
self.skewxaxis.add_mixratio_isopleths(
w, P[P >= 700], color='g', ls='--', alpha=1., lw=0.5)
self.skewxaxis.add_dry_adiabats(
linspace(210, 550, 18)-degCtoK, P, color='g', ls='--', alpha=1.,
lw=0.5)
self.skewxaxis.add_moist_adiabats(
linspace(0, 44, 12), pmax, color='g', ls='--', alpha=1., lw=0.5)
self.skewxaxis.set_title("%s %s" % (self['StationNumber'],
self['SoundingDate']))
self.skewxaxis.other_housekeeping()
self.wbax = self.fig.add_axes([0.685, 0.1, 0.1, 0.8],
sharey=self.skewxaxis, frameon=False)
self.wbax.xaxis.set_ticks([], [])
self.wbax.yaxis.grid(True, ls='-', color='y', lw=0.5)
for tick in self.wbax.yaxis.get_major_ticks():
# tick.label1On = False
pass
self.wbax.get_yaxis().set_tick_params(size=0, color='y')
self.wbax.set_xlim(-1.5, 1.5)
self.wbax.get_yaxis().set_visible(False)
self.wbax.set_title('kn', fontsize=10, color='k', ha='right')
# Set up standard atmosphere height scale on
# LHS of plot.
majorLocatorKM = MultipleLocator(2)
majorLocatorKFT = MultipleLocator(5)
minorLocator = MultipleLocator(1)
# determine base height from base pressure (nominally 1050 hPa)
# via hydrostatic equilibrium for standard atmosphere
# model atmospheric conditions with constant lapse rate and
# NIST (1013.25hPa and 20C)
zmin = barometric_equation_inv(0, 293.15, 101325., pmax*100.)
zmax = barometric_equation_inv(0, 293.15, 101325., pmin*100.)
zminf = zmin * 3.2808
zmaxf = zmax * 3.2808
self.kmhax = self.fig.add_axes([0.775, 0.1, 1e-6, 0.8], frameon=True)
self.kmhax.xaxis.set_ticks([], [])
self.kmhax.spines['left'].set_color('k')
self.kmhax.spines['right'].set_visible(False)
self.kmhax.tick_params(axis='y', colors='k', labelsize=8)
self.kmhax.set_ylim(zmin*1e-3, zmax*1e-3)
self.kmhax.set_title("km/kft", fontsize=10)
self.kmhax.get_yaxis().set_tick_params(which="both", direction='out')
self.kmhax.yaxis.set_major_locator(majorLocatorKM)
self.kmhax.yaxis.set_minor_locator(minorLocator)
self.fthax = self.kmhax.twinx()
self.fthax.xaxis.set_ticks([], [])
self.fthax.tick_params(axis='y', colors='k', labelsize=8)
self.fthax.set_ylim(zminf*1e-3, zmaxf*1e-3)
self.fthax.get_yaxis().set_tick_params(which="both", direction='out')
self.fthax.yaxis.set_major_locator(majorLocatorKFT)
self.fthax.yaxis.set_minor_locator(minorLocator)
def emit_ascents(args, source, file, archive, raob, stations,
updated_stations):
relTime, sondTyp, staLat, staLon, staElev, P, T, Td, U, V, wmo_ids, times = RemNaN_and_Interp(
raob, file)
for i, stn in enumerate(wmo_ids):
if args.station and args.station != stn:
continue
if stn in stations:
station = stations[stn]
if isnan(staLat[i]):
staLat[i] = station['lat']
if isnan(staLon[i]):
staLon[i] = station['lon']
if isnan(staElev[i]):
staElev[i] = station['elevation']
else:
station = None
if isnan(staLat[i]) or isnan(staLon[i]) or isnan(staElev[i]):
logging.error(f"skipping station {stn} - no location")
continue
#print(i, stn)
takeoff = datetime.utcfromtimestamp(
relTime[i]).replace(tzinfo=pytz.utc)
syntime = times[i]
properties = {
"station_id": stn,
"id_type": "wmo",
"source": "netCDF",
"sonde_type": int(sondTyp[i]),
"path_source": "simulated",
"syn_timestamp": syntime.timestamp(),
"firstSeen": float(relTime[i]),
"lat": float(staLat[i]),
"lon": float(staLon[i]),
"elevation": float(staElev[i]),
}
fc = geojson.FeatureCollection([])
fc.properties = properties
lat_t = staLat[i]
lon_t = staLon[i]
previous_elevation = fc.properties['elevation'] - 100 # args.hstep
t0 = T[i][0]
p0 = P[i][0]
h0 = staElev[i]
prevSecsIntoFlight = 0
for n in range(0, len(P[i])):
pn = P[i][n]
if isinf(T[i][n]) or isinf(Td[i][n]) or isinf(P[i][n]):
logging.debug(
f"station {stn}: skipping layer P={P[i][n]} T={T[i][n]} Td={Td[i][n]}"
)
continue
# gross haque to determine rough time of sample
height = round(barometric_equation_inv(h0, t0, p0, pn), 1)
secsIntoFlight = height2time(h0, height)
delta = timedelta(seconds=secsIntoFlight)
sampleTime = takeoff + delta
properties = {
"time": sampleTime.timestamp(),
"gpheight": round(height_to_geopotential_height(height), 1),
"temp": round(T[i][n], 2),
"dewpoint": round(Td[i][n], 2),
"pressure": P[i][n],
}
u = U[i][n]
v = V[i][n]
du = dv = 0
if u > -9999.0 and v > -9999.0:
properties["wind_u"] = u
properties["wind_v"] = v
dt = secsIntoFlight - prevSecsIntoFlight
du = u * dt
dv = v * dt
lat_t, lon_t = latlonPlusDisplacement(lat=lat_t,
lon=lon_t,
u=du,
v=dv)
prevSecsIntoFlight = secsIntoFlight
#print(f"level={n} s={secsIntoFlight:.0f} {height:.1f}m p={pn} lon_t={lon_t} lat_t={lat_t} u={u} v={v} du={du:.1f} dv={dv:.1f} ", file=sys.stderr)
f = geojson.Feature(geometry=geojson.Point(
(float(lon_t), float(lat_t), height)),
properties=properties)
if not f.is_valid:
logging.error(f'--- invalid GeoJSON! {f.errors()}')
fc.features.append(f)
fc.properties['lastSeen'] = sampleTime.timestamp()
write_geojson(args, source, fc, file, archive, updated_stations)
return True
def commit_sonde(raob, stations):
relTime, sondTyp, staLat, staLon, staElev, P, T, Td, U, V, wmo_ids, times = RemNaN_and_Interp(
raob)
#print(staElev)
for i, stn in enumerate(wmo_ids):
if stn in stations:
station = stations[stn]
# print(f"---- station {stn} found: {station}")
if isnan(staLat[i]):
staLat[i] = station['lat']
if isnan(staLon[i]):
staLon[i] = station['lon']
if isnan(staElev[i]):
staElev[i] = station['elevation']
else:
# print(f"station {stn} not found")
station = None
if isnan(staLat[i]) or isnan(staLon[i]) or isnan(staElev[i]):
continue
#print(i, stn)
takeoff = datetime.utcfromtimestamp(
relTime[i]).replace(tzinfo=pytz.utc)
syntime = times[i]
properties = {
"station_id": stn,
"id_type": "madis",
"sonde_type": int(sondTyp[i]),
"path_type": "simulated",
"syn_timestamp": syntime.timestamp(),
"firstSeen": float(relTime[i]),
"lat": float(staLat[i]),
"lon": float(staLon[i]),
"elevation": float(staElev[i]),
}
fc = geojson.FeatureCollection([])
fc.properties = properties
lat_t = staLat[i]
lon_t = staLon[i]
firstSeen = fc.properties['firstSeen']
previous_elevation = fc.properties['elevation'] - 100 # args.hstep
t0 = T[i][0]
p0 = P[i][0]
h0 = staElev[i]
#print(f"station h0={h0:.1f}m p0={p0} t0={t0}")
prevSecsIntoFlight = 0
for n in range(0, len(P[i])):
pn = P[i][n]
# gross haque to determine rough time of sample
height = round(barometric_equation_inv(h0, t0, p0, pn), 1)
secsIntoFlight = height2time(h0, height)
delta = timedelta(seconds=secsIntoFlight)
sampleTime = takeoff + delta
properties = {
"time": sampleTime.timestamp(),
"gpheight": round(height_to_geopotential_height(height), 1),
"temp": round(T[i][n], 2),
"dewpoint": round(Td[i][n], 2),
"pressure": P[i][n],
}
u = U[i][n]
v = V[i][n]
du = dv = 0
if u > -9999.0 and v > -9999.0:
properties["wind_u"] = u
properties["wind_v"] = v
dt = secsIntoFlight - prevSecsIntoFlight
du = u * dt
dv = v * dt
lat_t, lon_t = latlonPlusDisplacement(lat=lat_t,
lon=lon_t,
u=du,
v=dv)
prevSecsIntoFlight = secsIntoFlight
print(
f"level={n} s={secsIntoFlight:.0f} {height:.1f}m p={pn} lon_t={lon_t} lat_t={lat_t} u={u} v={v} du={du:.1f} dv={dv:.1f} ",
file=sys.stderr)
f = geojson.Feature(geometry=geojson.Point(
(float(lat_t), float(lon_t), height)),
properties=properties)
fc.features.append(f)
fc.properties['lastSeen'] = sampleTime.timestamp()
#print(fc)
print(geojson.dumps(fc, indent=4, ignore_nan=True))
sys.exit(0)
# for n in range(len(P[i])-1):
# print(i, n, stn, T[n], P[n])
# #print(n, P[n])times[i],
continue
t = datetime.utcfromtimestamp(relTime[i]).replace(tzinfo=pytz.utc)
print(i, stn, times[i], t, len(raob['Psig'][i]), len(T[i]), len(P[i]))
radiosonde = Radiosonde()
radiosonde.sonde_validtime = times[i]
radiosonde.temperatureK = T[i]
radiosonde.dewpointK = Td[i]
radiosonde.pressurehPA = P[i]
radiosonde.u_windMS = U[i]
radiosonde.v_windMS = V[i]
def make_skewt_axes(self, pmax=1050., pmin=100., tmin=-40., tmax=30.):
"""Set up the skew-t axis the way I like to see it"""
#self.fig = figure(figsize=(3.54,1.8))
self.fig = figure(figsize=(16, 8))
self.fig.clf()
self.skewxaxis = self.fig.add_axes([.065, .1, .71, .8],
projection='skewx')
self.skewxaxis.set_yscale('log')
self.skewxaxis.pmax = pmax
self.skewxaxis.pmin = pmin
self.skewxaxis.tmax = tmax
self.skewxaxis.tmin = tmin
xticklocs = arange(-80, 45, 10)
T0 = xticklocs
# P=linspace(pmax,pmin,101)
P = logspace(log10(pmax), log10(pmin), 101)
w = array([
0.00001, 0.0001, 0.0004, 0.001, 0.002, 0.004, 0.007, 0.01, 0.016,
0.024, 0.032
])
w = array([0.001, 0.002, 0.004, 0.007, 0.01, 0.016, 0.024, 0.032])
## BKB: Dont add mixratio
# self.skewxaxis.add_mixratio_isopleths(w,P[P>=550],color='g',ls='--',alpha=1.,lw=0.5)
self.skewxaxis.add_dry_adiabats(linspace(210, 550, 18) - degCtoK,
P,
color='g',
ls='--',
alpha=1.,
lw=0.3,
do_labels=False)
# BKB: Dont add moist adiabat
#self.skewxaxis.add_moist_adiabats(linspace(0,44,12),pmax,color='g',ls='--',alpha=1.,lw=0.5)
self.skewxaxis.set_title("%s %s" %
(self['StationNumber'], self['SoundingDate']),
fontsize=15)
self.skewxaxis.other_housekeeping()
# wind barbs axes
self.wbax = self.fig.add_axes([0.685, 0.1, 0.1, 0.8],
sharey=self.skewxaxis,
frameon=False)
self.wbax.xaxis.set_ticks([], [])
self.wbax.yaxis.grid(True, ls='-', color='y', lw=0.3)
for tick in self.wbax.yaxis.get_major_ticks():
# tick.label1On = False
pass
self.wbax.get_yaxis().set_tick_params(size=0, color='y')
self.wbax.set_xlim(-1.5, 1.5)
self.wbax.get_yaxis().set_visible(False)
#self.wbax.set_title('m/s',fontsize=7,color='k',ha='right')
# Set up standard atmosphere height scale on
# LHS of plot.
majorLocatorKM = MultipleLocator(2)
majorLocatorKFT = MultipleLocator(5)
minorLocator = MultipleLocator(1)
# determine base height from base pressure (nominally 1050 hPa)
# via hydrostatic equilibrium for standard atmosphere
# model atmospheric conditions with constant lapse rate and
# NIST (1013.25hPa and 20C)
zmin = barometric_equation_inv(0, 293.15, 101325., pmax * 100.)
zmax = barometric_equation_inv(0, 293.15, 101325., pmin * 100.)
zminf = zmin * 3.2808
zmaxf = zmax * 3.2808
""" Turn off Height Plotter (scale thing on the right side)