def generate_radiance_filename(filename):
prefix = short(filename, 0, 3)
decimalhour = lambda t: t.hour + t.minute/60. + t.second/3600.
slot = str(int(round(decimalhour(to_datetime(filename))*2))).zfill(2)
suffix = short(filename, 4, 6)
if not os.path.exists('products/radiance'):
os.makedirs('products/radiance')
output_filename = 'products/radiance/rad.%s.S%s.%s' % (
prefix, slot, suffix)
return output_filename
def generate_radiance_filename(filename):
prefix = short(filename, 0, 3)
decimalhour = lambda t: t.hour + t.minute / 60. + t.second / 3600.
slot = str(int(round(decimalhour(to_datetime(filename)) * 2))).zfill(2)
suffix = short(filename, 4, 6)
if not os.path.exists('products/radiance'):
os.makedirs('products/radiance')
output_filename = 'products/radiance/rad.%s.S%s.%s' % (prefix, slot,
suffix)
return output_filename
def calculate_weights(for_file, files):
day = short(for_file, 2, 4)
slot = int(short(for_file, 4, 5)[1:])
hour = slot / 2.
minute = 60 * (hour % 1)
itime = datetime.strptime('%s %i:%i' % (day, int(hour), minute),
'%Y.%j %H:%M')
times = map(to_datetime, files)
diff_t = (times[0] - times[1]).total_seconds()
weights = map(lambda t: 1 - abs((itime - t).total_seconds() / diff_t),
times)
return weights
def calculate_weights(for_file, files):
day = short(for_file, 2, 4)
slot = int(short(for_file, 4, 5)[1:])
hour = slot / 2.
minute = 60 * (hour % 1)
itime = datetime.strptime('%s %i:%i' % (day, int(hour), minute),
'%Y.%j %H:%M')
times = map(to_datetime, files)
diff_t = (times[0] - times[1]).total_seconds()
weights = map(lambda t:
1 - abs((itime - t).total_seconds() / diff_t),
times)
return weights
def radiance(filename):
prefix = short(filename, 0, 3)
slot = int(round(decimalhour(to_datetime(filename))*2))
suffix = short(filename, 4, 6)
output_filename = create_output_path(prefix, slot, suffix)
root, is_new = nc.open(filename)
radiation = nc.getvar(root, 'globalradiation')
with nc.loader(output_filename) as radiance_root:
dims_names = list(reversed(radiation.dimensions.keys()))
dims_values = list(reversed(radiation.dimensions.values()))
create_dims = (lambda name, dimension:
radiance_root.create_dimension(name, len(dimension)))
(map(lambda name, dimension: create_dims(name, dimension),
dims_names, dims_values))
radiance = (nc.getvar(radiance_root, 'radiance', vtype='f4',
dimensions=tuple(dims_names)))
radiance[:] = radiation[:]*30.*60.*10**-6
def complete(radiance_files):
t_slots = set(range(20, 47))
if radiance_files:
prefix = short(radiance_files[0], 0, 2)
suffix = short(radiance_files[0], -2, None)
slot = lambda filename: int(short(filename, 4)[1:])
to_datetime = lambda f: short(f, 2, 4)
groups = groupby(sorted(radiance_files), to_datetime)
for day, files_by_day in groups:
slots_by_day = set(map(slot, list(files_by_day)))
new_slots = t_slots - slots_by_day
id = lambda s: '%s.S%s' % (day, str(s).zfill(2))
output_file = lambda s: 'products/radiance/%s.%s.%s' % (
prefix, id(s), suffix)
radiance_files += map(output_file, new_slots)
radiance_files.sort()
return radiance_files
def complete(radiance_files):
t_slots = set(range(20, 47))
if radiance_files:
prefix = short(radiance_files[0], 0, 2)
suffix = short(radiance_files[0], -2, None)
slot = lambda filename: int(short(filename, 4)[1:])
to_datetime = lambda f: short(f, 2, 4)
groups = groupby(sorted(radiance_files), to_datetime)
for day, files_by_day in groups:
slots_by_day = set(map(slot, list(files_by_day)))
new_slots = t_slots - slots_by_day
id = lambda s: '%s.S%s' % (day, str(s).zfill(2))
output_file = lambda s: 'products/radiance/%s.%s.%s' % (prefix, id(s),
suffix)
radiance_files += map(output_file, new_slots)
radiance_files.sort()
return radiance_files
def radiance(filename):
prefix = short(filename, 0, 3)
slot = int(round(decimalhour(to_datetime(filename)) * 2))
suffix = short(filename, 4, 6)
output_filename = create_output_path(prefix, slot, suffix)
root, is_new = nc.open(filename)
radiation = nc.getvar(root, 'globalradiation')
with nc.loader(output_filename) as radiance_root:
dims_names = list(reversed(radiation.dimensions.keys()))
dims_values = list(reversed(radiation.dimensions.values()))
create_dims = (lambda name, dimension: radiance_root.create_dimension(
name, len(dimension)))
(map(lambda name, dimension: create_dims(name, dimension), dims_names,
dims_values))
radiance = (nc.getvar(radiance_root,
'radiance',
vtype='f4',
dimensions=tuple(dims_names)))
radiance[:] = radiation[:] * 30. * 60. * 10**-6
