#filenames = glob('./data/matchup_*txt')
#filenames = glob('./radvaldata/matchup_*txt')
#filenames = glob('./matchup_all_npp*txt')
#filenames = glob('./matchup_synop_radval_npp.txt')
filenames = glob('./matchup_synop_all_npp.txt')
this = MatchupAnalysis(mtype='synop')
#this = MatchupAnalysis(mtype='point')
this.get_results(filenames)
res = this.data[np.isfinite(this.data['sat'])]
# Illumination filtering:
# res = sunz_filter(res, [0, 80]) # Daytime
# res = sunz_filter(res, [90, 180]) # Night
# res = sunz_filter(res, [80, 90]) # Twilight
hist1d_plot(res, 'sat', 'PPS cloud cover', color='blue')
#synop_validation(res, './ppsval_nightime.txt')
synop_validation(res, './ppsval.txt')
x = res.date + res.delta_t.apply(lambda d: timedelta(minutes=d))
startdate = x.min()
enddate = x.max()
mydate = startdate
delta_t = timedelta(minutes=60 * 24 * 10) # 10 days
datelist = []
frequency = []
while mydate < enddate:
mydate = mydate + delta_t
a = np.where(np.logical_and(x.astype(datetime).values < mydate,
"""Plot a histogram of the cloud cover for selected Synop stations
"""
from analyse_results import (MatchupAnalysis, hist1d_plot, sunz_filter,
station_filter)
from glob import glob
import numpy as np
# --------------------------------------------------------
if __name__ == "__main__":
#filenames = glob('./data/matchup_*txt')
filenames = glob('./data/results_n*txt')
manual_stations = ['02616', '02496', '02020']
#this = MatchupAnalysis(mtype='point')
this = MatchupAnalysis(mtype='synop')
res = this.get_results(filenames)
res = res[np.isfinite(res['obs'])]
#res = geo_filter(res, outside=False)
#res = geo_filter(res)
res = sunz_filter(res, [0, 80]) # Daytime
# res = sunz_filter(res, [90, 180]) # Night
# res = sunz_filter(res, [80, 90]) # Twilight
res = station_filter(res, manual_stations)
hist1d_plot(res, 'obs', 'Observations')
"""
from analyse_results import (MatchupAnalysis, hist1d_plot,
sunz_filter, station_filter)
from glob import glob
import numpy as np
# --------------------------------------------------------
if __name__ == "__main__":
#filenames = glob('./data/matchup_*txt')
filenames = glob('./data/results_n*txt')
manual_stations = ['02616', '02496', '02020']
#this = MatchupAnalysis(mtype='point')
this = MatchupAnalysis(mtype='synop')
res = this.get_results(filenames)
res = res[np.isfinite(res['obs'])]
#res = geo_filter(res, outside=False)
#res = geo_filter(res)
res = sunz_filter(res, [0, 80]) # Daytime
# res = sunz_filter(res, [90, 180]) # Night
# res = sunz_filter(res, [80, 90]) # Twilight
res = station_filter(res, manual_stations)
hist1d_plot(res, 'obs', 'Observations')
#filenames = glob('./data/matchup_*txt')
#filenames = glob('./radvaldata/matchup_*txt')
#filenames = glob('./matchup_all_npp*txt')
#filenames = glob('./matchup_synop_radval_npp.txt')
filenames = glob('./matchup_synop_all_npp.txt')
this = MatchupAnalysis(mtype='synop')
#this = MatchupAnalysis(mtype='point')
this.get_results(filenames)
res = this.data[np.isfinite(this.data['sat'])]
# Illumination filtering:
# res = sunz_filter(res, [0, 80]) # Daytime
# res = sunz_filter(res, [90, 180]) # Night
# res = sunz_filter(res, [80, 90]) # Twilight
hist1d_plot(res, 'sat', 'PPS cloud cover', color='blue')
#synop_validation(res, './ppsval_nightime.txt')
synop_validation(res, './ppsval.txt')
x = res.date + res.delta_t.apply(lambda d: timedelta(minutes=d))
startdate = x.min()
enddate = x.max()
mydate = startdate
delta_t = timedelta(minutes=60 * 24 * 10) # 10 days
datelist = []
frequency = []
while mydate < enddate:
mydate = mydate + delta_t
a = np.where(