def get_synop(self):
"""Get the list of synop data that matches the time of the satellite data"""
synopfiles = glob(os.path.join(SYNOP_DATADIR, self.obstime.strftime('%Y%m')) +
"/sy_*_%s.qc" % self.obstime.strftime('%Y%m%d'))
if self.obstime.hour >= 23:
tslot = self.obstime + timedelta(days=1)
synopfiles = (synopfiles +
glob(os.path.join(SYNOP_DATADIR, tslot.strftime('%Y%m')) +
"/sy_*_%s.qc" % tslot.strftime('%Y%m%d')))
if self.obstime.hour <= 1:
tslot = self.obstime - timedelta(days=1)
synopfiles = (synopfiles +
glob(os.path.join(SYNOP_DATADIR, tslot.strftime('%Y%m')) +
"/sy_*_%s.qc" % tslot.strftime('%Y%m%d')))
if len(synopfiles) == 0:
print("No synop files found! " +
"Synop data dir = %s" % SYNOP_DATADIR)
return False
print("Synop files considered: " +
str([os.path.basename(s) for s in synopfiles]))
items = []
for filename in synopfiles:
items.append(get_data(filename))
self.synops = pd.concat(items, ignore_index=True)
# Select only those observations that fit within time window:
t1_ = self.obstime - time_thr_swath
t2_ = self.obstime + time_thr_swath
newsynops = self.synops[self.synops['date'] < t2_]
self.synops = newsynops[newsynops['date'] > t1_]
return True
starttime = datetime(2009, 11, 4, 9, 0)
#starttime = datetime(2009, 11, 4, 0, 0)
endtime = datetime(2009, 11, 4, 23, 59)
synopfiles = glob(os.path.join(SYNOP_DATADIR, "sy_*20091104.qc"))
print synopfiles
if len(synopfiles) == 0:
raise IOError("No synop files found! " +
"Synop data dir = %s" % SYNOP_DATADIR)
print("Synop files considered: " +
str([os.path.basename(s) for s in synopfiles]))
items = []
for filename in synopfiles:
items.append(get_data(filename))
synops = pd.concat(items, ignore_index=True)
lonpos = []
latpos = []
# Go through all synops
for synop in synops.iterrows():
tup = (synop[1]['lon'], synop[1]['lat'], synop[1]['station'],
synop[1]['date'].to_datetime(), synop[1]['total_cloud_cover'])
lon, lat, station_name, dtobj, total_cloud_cover = tup
if dtobj > endtime or dtobj < starttime:
continue
starttime = datetime(2009, 11, 4, 9, 0)
#starttime = datetime(2009, 11, 4, 0, 0)
endtime = datetime(2009, 11, 4, 23, 59)
synopfiles = glob(os.path.join(SYNOP_DATADIR, "sy_*20091104.qc"))
print synopfiles
if len(synopfiles) == 0:
raise IOError("No synop files found! " +
"Synop data dir = %s" % SYNOP_DATADIR)
print("Synop files considered: " +
str([os.path.basename(s) for s in synopfiles]))
items = []
for filename in synopfiles:
items.append(get_data(filename))
synops = pd.concat(items, ignore_index=True)
lonpos = []
latpos = []
# Go through all synops
for synop in synops.iterrows():
tup = (synop[1]['lon'], synop[1]['lat'],
synop[1]['station'], synop[1]['date'].to_datetime(),
synop[1]['total_cloud_cover'])
lon, lat, station_name, dtobj, total_cloud_cover = tup
if dtobj > endtime or dtobj < starttime:
continue
