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#!/usr/bin/env python3
import datetime
import xarray as xr
from metpy.units import units
import metpy.calc as mpcalc
import numpy as np
import skewt
def np_time_convert(dt64):
unix_epoch = np.datetime64(0, 's')
one_second = np.timedelta64(1, 's')
seconds_since_epoch = (dt64 - unix_epoch) / one_second
return datetime.datetime.utcfromtimestamp(seconds_since_epoch)
config = {
'source':'dwd_icon-d2/combined.grib2',
'plots':[
{
'lat':47.9626,
'lon':11.9964,
'name':'Antersberg'
},
]
}
def run(config):
data = xr.load_dataset(config['source'], engine='cfgrib')
for plot in config['plots']:
_plot(data, **plot)
def _plot(data, lat, lon, name):
for_temp = data.sel(latitude=lat, longitude = lon, method='nearest')
for_temp = for_temp[['r', 't', 'u', 'v']]
for step in for_temp.coords['step']:
this_step = for_temp.sel(step=step)
p = this_step.coords['isobaricInhPa'].values * units.hPa
T = this_step.t.values * units.K
relHum = this_step.r.values * units.percent
Td = mpcalc.dewpoint_from_relative_humidity(T, relHum)
u = this_step.u.values * (units.m / units.s)
v = this_step.v.values * (units.m / units.s)
valid = np_time_convert(step.valid_time.values)
init = np_time_convert(step.time.values)
valid_str = valid.strftime('%d %b %Y - %HUTC')
init_str = init.strftime('%d %b %Y - %HUTC')
hours_since_init_str = str(int(this_step.step.values / np.timedelta64(1,'h'))).zfill(2)
skt = skewt.Skewt(p=p, T=T, Td=Td)
skt.addWindUV(u, v)
skt.addInfo(f'{name} INIT+' + hours_since_init_str)
skt.addInfo(f"VALID: {valid_str}")
skt.addInfo(f"INIT : {init_str}")
skt.addInfo(f"LAT {lat} LON {lon}")
skt.addAnalysis(shade=True, analysis='lcl')
skt.addInfo("FORECAST DWD ICON-D2")
init_for_filename = init.strftime('%Y-%m-%d-%HUTC')
skt.plot(filename=f'skewt_{name}_{init_for_filename}+{hours_since_init_str}.png')
if __name__ == '__main__':
run(config)
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