mpl.rcParams['lines.linewidth'] = 1.8
mpl.rcParams['grid.linewidth'] = .25
mpl.rcParams['figure.subplot.wspace'] = 0.05
mpl.rcParams['figure.subplot.hspace'] = 0.05
mpl.rcParams['legend.fontsize'] = 10
mpl.rcParams['legend.framealpha'] = .75
mpl.rcParams['legend.loc'] = 'best'
mpl.rcParams['savefig.bbox'] = 'tight'
mpl.rcParams['savefig.dpi'] = 100
# Build map objects and get HRRR latitude and longitude grids.
latlon = get_hrrr_latlon()
lat = latlon['lat']
lon = latlon['lon']
m = draw_HRRR_map() # CONUS
mW = draw_centermap(40, -115, (10,10)) # West
mU = draw_centermap(39.5, -111.6, (3.2,3.2)) # Utah
# Variable constants
VARS = {'TMP:2 m':{'cmap':'magma',
'vmax':2.5,
'vmin':0,
'label':'2 m Temperature',
'units':'C'},
'DPT:2 m':{'cmap':'magma',
'vmax':5,
'vmin':0,
'label':'2 m Dew Point',
'units':'C'},
'GUST:surface':{'cmap':'magma',
'vmax':3.5,
if not os.path.exists(SAVEDIR):
os.makedirs(SAVEDIR)
plt.savefig(SAVEDIR + '%s' % Hrefc['valid'].strftime('valid_%Y%m%d-%H%M'))
#plt.close()
# =============================================================================
if __name__ == '__main__':
# Define the fire or event of interest
fire = get_fire('Mallard')
# Make map
m = draw_centermap(fire['latitude'], fire['longitude'])
# Date info
sDATE = fire['sDATE']
eDATE = sDATE + timedelta(days=2)
DATES = range_dates(sDATE, eDATE, HOURS=True)
# Generate plots with multiprocessing
timer = datetime.now()
inputs = [(fire, m, d) for d in DATES]
cpus = multiprocessing.cpu_count()
p = multiprocessing.Pool(np.minimum(12, cpus))
p.map(make_plot, inputs)
p.close()
if variable in ['UVGRD:10 m', 'WIND:10 m']:
units = r'm s$\mathregular{^{-1}}$'
elif variable == 'REFC:entire':
units = 'dBZ'
nep = NEP(validDATE,
threshold=threshold,
variable=variable,
radius=radius,
fxx=fxx,
hours_span=hours_span)
# Get the values at the valid time
H = get_hrrr_variable(validDATE, variable, fxx=0)
m = draw_centermap(40.77, -111.96, size=(2.5, 3.5))
plt.figure(figsize=[10, 5])
cm = cm_prob()
m.pcolormesh(nep['lon'],
nep['lat'],
nep['prob'],
cmap=cm['cmap'],
vmax=cm['vmax'],
vmin=cm['vmin'],
latlon=True)
cb = plt.colorbar(pad=.02, shrink=.8)
m.contour(H['lon'],
H['lat'],
H['value'] >= threshold,
L[i] = location[i]
location = L
'''
## 2) Make map object for each location and store in a dictionary
print(
'Make %s Maps (this takes a while if location_dic has a lot of locations)'
% len(location))
for name, loc in location.items():
FILE = './saved_map_objects/%s.npy' % name
if os.path.exists(FILE):
m = np.load(FILE, allow_pickle=True).item()
print('loaded %s map from file' % name)
else:
center = (loc['latitude'], loc['longitude'])
m = draw_centermap(center, size=(.3, .3))
# Save the map object for later use
np.save(FILE, m)
print('saved %s map to file' % name)
## Store map object in location dictionary
location[name]['map'] = m
## 3) Create a landuse image for each locations
## Create new figure once a day because landuse ice cover changes on lakes
if datetime.utcnow().hour == 0:
LU = get_hrrr_variable(datetime.now(), 'VGTYP:surface')
LU_cmap = LU_MODIS21()
for n, (name, loc) in enumerate(location.items()):
print('Generating LandUse map for %s' % name)
LU_SAVE = '/uufs/chpc.utah.edu/common/home/u0553130/public_html/oper/HRRR_golf/%s/LandUse.png' % name.replace(
' ', '_')
#single = RMSD(DATE, 'REFC:entire', FORECASTS=range(19))
from BB_maps.my_basemap import draw_HRRR_map, draw_centermap
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams['figure.figsize'] = [15,15]
mpl.rcParams['figure.titlesize'] = 15
mpl.rcParams['figure.subplot.wspace'] = 0.05
mpl.rcParams['figure.subplot.hspace'] = 0.05
mpl.rcParams['xtick.labelsize'] = 10
mpl.rcParams['ytick.labelsize'] = 10
mpl.rcParams['lines.linewidth'] = 1.8
mpl.rcParams['savefig.bbox'] = 'tight'
mpl.rcParams['savefig.dpi'] = 100
m = draw_HRRR_map(area_thresh=5000)
mU = draw_centermap(lat=40, lon=-115, size=(10,10))
sDATE = datetime(2018, 7, 13)
eDATE = datetime(2018, 8, 13)
#SAVEDIR = 'figs/hourly_RMSD/'
SAVEDIR = '/uufs/chpc.utah.edu/common/home/u0553130/public_html/PhD/HRRR_RMSE/RMSD_v3'
if not os.path.exists(SAVEDIR):
os.makedirs(SAVEDIR)
for variable in ['TMP:2 m', 'UGRD:10 m', 'VGRD:10 m', 'LTNG:entire', 'REFC:entire', 'WIND:10 m', 'CAPE:surface', 'HGT:500 mb', 'DPT:2 m']:
#for variable in ['TMP:2 m']:
if variable in ['LTNG:entire', 'APCP:surface', 'WIND:10 m']:
# These variables are hourly values and don't have an analysis value
FORECASTS = range(1,19)
else:
# The other variables have an analysis
