STN_NAME, STN_ID, LAT, LON = read_tslist.read_tslist(wrf_dir+"tslist")
FIGDIR = '/uufs/chpc.utah.edu/common/home/u0553130/public_html/MS/timeheight/'
if not os.path.exists(FIGDIR):
os.makedirs(FIGDIR)
for s in np.arange(0,len(STN_ID)):
station = STN_ID[s]
st_name = STN_NAME[s]
print 'working on',station
plt.cla()
plt.clf()
plt.close()
# Open the geopotential height file
dates, PH = WRF_timeseries.get_full_vert(wrf_dir+station+'.d02.PH',model_start)
print 'got PH'
TH = WRF_timeseries.get_full_vert(wrf_dir+station+'.d02.TH',model_start)[1]
print 'got TH'
VV = WRF_timeseries.get_full_vert(wrf_dir+station+'.d02.VV',model_start)[1]
print 'got VV'
UU = WRF_timeseries.get_full_vert(wrf_dir+station+'.d02.UU',model_start)[1]
print 'got UU'
QV = WRF_timeseries.get_full_vert(wrf_dir+station+'.d02.QV',model_start)[1]
QV = QV*1000 #convert from kg/kg to g/kg
print 'got QV'
# Since pcolormesh doesn't like datetime on the xaxis I need to get a
# little creative making my own tick labels
# Assign x-axis variables
pass
# Get observed timeseries data
obs = MesoWest_timeseries.get_mesowest_ts(station, start_date_early,
end_date)
obs_dates = obs['datetimes']
obs_spd = obs['wind speed']
obs_dir = obs['wind direction']
obs_temp = obs['temperature']
# calculate the U and V components from wind speed
obs_u, obs_v = wind_calcs.wind_spddir_to_uv(obs_spd, obs_dir)
# Get the WRF timeseries data
wrf_dir = '/uufs/chpc.utah.edu/common/home/horel-group4/model/bblaylock/WRF3.7_lake299_ember/WRFV3/test/em_real/'
wrf_name = 'lake299'
wrf_temp = WRF_timeseries.get_ts_data(wrf_dir + station + '.d02.TS',
't') - 273.15
wrf_u = WRF_timeseries.get_ts_data(wrf_dir + station + '.d02.TS', 'u')
wrf_v = WRF_timeseries.get_ts_data(wrf_dir + station + '.d02.TS', 'v')
wrf_time = WRF_timeseries.get_ts_data(wrf_dir + station + '.d02.TS',
'ts_hour')
# calculate the wind speed and direction from u and v
wrf_spd = wind_calcs.wind_uv_to_spd(wrf_u, wrf_v)
wrf_dir = wind_calcs.wind_uv_to_dir(wrf_u, wrf_v)
# convert wrf_time to datetime
wrf_dates = np.array([])
for i in wrf_time:
wrf_dates = np.append(wrf_dates, start_date + timedelta(hours=i))
# Get the WRF timeseries data for a second series
wrf_dir2 = '/uufs/chpc.utah.edu/common/home/horel-group4/model/bblaylock/WRF3.7_lake303_ember/WRFV3/test/em_real/'
wrf_name2 = 'lake303'
print "skipped"
pass
# Get observed timeseries data
obs = MesoWest_timeseries.get_mesowest_ts(station,start_date_early,end_date)
obs_dates = obs['datetimes']
obs_spd = obs['wind speed']
obs_dir = obs['wind direction']
obs_temp = obs['temperature']
# calculate the U and V components from wind speed
obs_u, obs_v = wind_calcs.wind_spddir_to_uv(obs_spd,obs_dir)
# Get the WRF timeseries data
wrf_dir = '/uufs/chpc.utah.edu/common/home/horel-group4/model/bblaylock/WRF3.7_lake299_ember/WRFV3/test/em_real/'
wrf_name='lake299'
wrf_temp = WRF_timeseries.get_ts_data(wrf_dir+station+'.d02.TS','t')-273.15
wrf_u = WRF_timeseries.get_ts_data(wrf_dir+station+'.d02.TS','u')
wrf_v = WRF_timeseries.get_ts_data(wrf_dir+station+'.d02.TS','v')
wrf_time = WRF_timeseries.get_ts_data(wrf_dir+station+'.d02.TS','ts_hour')
# calculate the wind speed and direction from u and v
wrf_spd = wind_calcs.wind_uv_to_spd(wrf_u,wrf_v)
wrf_dir = wind_calcs.wind_uv_to_dir(wrf_u,wrf_v)
# convert wrf_time to datetime
wrf_dates = np.array([])
for i in wrf_time:
wrf_dates = np.append(wrf_dates,start_date+timedelta(hours=i))
# Get the WRF timeseries data for a second series
wrf_dir2 = '/uufs/chpc.utah.edu/common/home/horel-group4/model/bblaylock/WRF3.7_lake303_ember/WRFV3/test/em_real/'
wrf_name2='lake303'
