numhours = len(hourindex)
date_list = [base + timedelta(hours=z) for z in range(0, numhours)]
dstr = np.vectorize(datetime_to_str)
xlabel = dstr(date_list[24:])
# Make Plot
plt.figure(1, figsize=[20,14])
plt.suptitle(st_name+", June 18 00z - June 19 07z, 2015, Model Version=lake303",fontsize=20)
plt.subplot(3,1,1)
plt.title(station+' Potential Temperature and Wind Direction',fontsize=15)
ax = plt.pcolormesh(x2D,PH,wind_calcs.wind_uv_to_dir(UU,VV),
cmap=plt.get_cmap('hsv')) # dates,
plt.ylim([np.min(PH),3500])
plt.xlim([24,np.max(x)])
plt.xticks(xticks,xlabel)
cbar = plt.colorbar(ticks= np.arange(0,361,45),pad=0.01)
cbar.set_ticklabels(['N','NE','E','SE','S','SW','W','NW','N'])
cbar.set_label('Wind Direction')
CS = plt.contour(x2D,PH,TH,
colors=.2,
levels=np.arange(int(np.min(TH)),int(np.max(TH)),1),
widths=.25)
plt.clabel(CS, inline=1, fontsize=9,fmt='%1.0f')
plt.ylabel('Geopotential Height (m)')
plt.xlabel('Hour')
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'
wrf_temp2 = WRF_timeseries.get_ts_data(wrf_dir2 + station + '.d02.TS',
't') - 273.15
wrf_u2 = WRF_timeseries.get_ts_data(wrf_dir2 + station + '.d02.TS', 'u')
wrf_v2 = WRF_timeseries.get_ts_data(wrf_dir2 + station + '.d02.TS', 'v')
wrf_time2 = WRF_timeseries.get_ts_data(wrf_dir2 + station + '.d02.TS',
'ts_hour')
# calculate the wind speed and direction from u and v
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'
wrf_temp2 = WRF_timeseries.get_ts_data(wrf_dir2+station+'.d02.TS','t')-273.15
wrf_u2 = WRF_timeseries.get_ts_data(wrf_dir2+station+'.d02.TS','u')
wrf_v2 = WRF_timeseries.get_ts_data(wrf_dir2+station+'.d02.TS','v')
wrf_time2 = WRF_timeseries.get_ts_data(wrf_dir2+station+'.d02.TS','ts_hour')
# calculate the wind speed and direction from u and v
wrf_spd2 = wind_calcs.wind_uv_to_spd(wrf_u2,wrf_v2)
