def forcing_from_thredds(sites, forc_vars):
"""
:param sites: dict with site-name as key and list of [lat, lon] as value.
.param forc_vars: list of forcing variables to be inserted as forcing
:return:
"""
thredds_url = "http://thredds.met.no/thredds/dodsC/arome25/arome_metcoop_test2_5km_latest.nc"
thredds_file = netCDF4.Dataset(thredds_url, "r")
latvar = thredds_file.variables["latitude"]
lonvar = thredds_file.variables["longitude"]
no_points = len(sites)
point_index = [tunnel_fast(latvar, lonvar, coord[0], coord[1]) for coord in sites.values()]
cnc = CrocusForcing(no_points=no_points, source="arome") # init Crocus forcing file
cnc.forc_time_step_v[:] = 3600.0
for point in range(no_points):
for var in forc_vars:
cnc.insert_arome_var(var, thredds_file.variables)
# cnc.tair_v[:, point] = thredds_file.variables[cnc.crocus_arome_lut[cnc.tair_v.name]][:, 0, point_index[point][0], point_index[point][1]]
time_v = thredds_file.variables["time"]
cnc.time_v[:] = time_v[:]
cnc.time_v.units = time_v.units
cnc.close()
thredds_file.close()
def forcing_from_thredds(sites, forc_vars):
'''
:param sites: dict with site-name as key and list of [lat, lon] as value.
.param forc_vars: list of forcing variables to be inserted as forcing
:return:
'''
thredds_url = "http://thredds.met.no/thredds/dodsC/arome25/arome_metcoop_test2_5km_latest.nc"
thredds_file = netCDF4.Dataset(thredds_url, 'r')
latvar = thredds_file.variables['latitude']
lonvar = thredds_file.variables['longitude']
no_points = len(sites)
point_index = [
tunnel_fast(latvar, lonvar, coord[0], coord[1])
for coord in sites.values()
]
cnc = CrocusForcing(no_points=no_points,
source="arome") # init Crocus forcing file
cnc.forc_time_step_v[:] = 3600.0
for point in range(no_points):
for var in forc_vars:
cnc.insert_arome_var(var, thredds_file.variables)
#cnc.tair_v[:, point] = thredds_file.variables[cnc.crocus_arome_lut[cnc.tair_v.name]][:, 0, point_index[point][0], point_index[point][1]]
time_v = thredds_file.variables['time']
cnc.time_v[:] = time_v[:]
cnc.time_v.units = time_v.units
cnc.close()
thredds_file.close()
Author: kmunve
TODO: add info as MD
"""
filename = "http://thredds.met.no/thredds/dodsC/arome25/arome_metcoop_test2_5km_latest.nc"
ncfile = netCDF4.Dataset(filename, 'r')
latvar = ncfile.variables['latitude']
lonvar = ncfile.variables['longitude']
points = {'Hemsedal': [60.86, 8.6],
'Nordøyan fyr': [64.8, 10.55]
}
indicies = [tunnel_fast(latvar, lonvar, coord[0], coord[1]) for coord in points.values()]
#[print(coord[0], coord[1]) for coord in points.values()]
print(indicies, type(indicies[0]), len(points))
# iy,ix = tunnel_fast(latvar, lonvar, 60.86, 8.6) # Hemsedal
# iy,ix = tunnel_fast(latvar, lonvar, 64.8, 10.55) # Nordøyan fyr
#print('Closest lat, lon: {0}, {1}; corresponding to indicies: {2}, {3}'.format(latvar[iy,ix], lonvar[iy,ix], iy, ix))
cnc = CrocusForcing(no_points=len(points))
for point in xrange(len(points)):
print(point, indicies[point][0], indicies[point][1])
cnc.tair_v[:, point] = ncfile.variables['air_temperature_2m'][:, 0, indicies[point][0], indicies[point][1]]
time_v = ncfile.variables['time']
Author: kmunve
TODO: add info as MD
"""
filename = "http://thredds.met.no/thredds/dodsC/arome25/arome_metcoop_test2_5km_latest.nc"
ncfile = netCDF4.Dataset(filename, 'r')
latvar = ncfile.variables['latitude']
lonvar = ncfile.variables['longitude']
points = {'Hemsedal': [60.86, 8.6],
'Nordøyan fyr': [64.8, 10.55]
}
indicies = [tunnel_fast(latvar, lonvar, coord[0], coord[1]) for coord in points.values()]
#[print(coord[0], coord[1]) for coord in points.values()]
print(indicies, type(indicies[0]), len(points))
# iy,ix = tunnel_fast(latvar, lonvar, 60.86, 8.6) # Hemsedal
# iy,ix = tunnel_fast(latvar, lonvar, 64.8, 10.55) # Nordøyan fyr
#print('Closest lat, lon: {0}, {1}; corresponding to indicies: {2}, {3}'.format(latvar[iy,ix], lonvar[iy,ix], iy, ix))
cnc = CrocusForcing(no_points=len(points))
for point in xrange(len(points)):
print(point, indicies[point][0], indicies[point][1])
cnc.tair_v[:, point] = ncfile.variables['air_temperature_2m'][:, 0, indicies[point][0], indicies[point][1]]
time_v = ncfile.variables['time']
