def create(self, **kwargs):
win_ranges = self.window_ranges()
bad_sample_mask = self.bad_sample_mask()
if bad_sample_mask is not None:
return rf.SpectralWindowRange(win_ranges, bad_sample_mask)
else:
return rf.SpectralWindowRange(win_ranges)
def rtr_comparison_base_config(**kwargs):
"""Make modifications to configuration so that ReFRACtor code matches the behavior of the
OCO-2 software.
"""
l1b_file = os.path.join(test_in_dir, "oco2_L1bScTG_06779a_151010_B8000r_170717081341-selected_ids.h5")
met_file = os.path.join(test_in_dir, "oco2_ECMWFTG_06779a_151010_B8000r_170703073334-selected_ids.h5")
config_def = retrieval_config_definition(l1b_file, met_file, sounding_id, **kwargs)
# Reduce stopping point of window ranges by one to account for differences in behavior with old code
mw = config_def['spec_win']['window_ranges']['value']
for chan_idx in range(mw.shape[0]):
mw[chan_idx, 0, 1] -= 1
config_def['spec_win']['window_ranges']['value'] = mw
# Use BRDF sufrace type
config_def['atmosphere']['ground']['child'] = 'brdf'
# Set to 1.0 to avoid difference where ReFRACtor has fixed the bug where table scale in
# OCO code only applies itself within the low res, not high res spectral bounds
config_def['atmosphere']['absorber']['CO2']['absorption']['table_scale'] = 1.0
# Set z_matrix interpolation wavenumber ranges to what is used in expected daa
rt_interp_wn = np.array([[[12962.5, 13172.1]],
[[6181.26, 6257.9]],
[[4808.22, 4883.57]]])
rt_interp_win = rf.SpectralWindowRange(rf.ArrayWithUnit(rt_interp_wn, "cm^-1"))
config_def['radiative_transfer']['spec_win'] = rt_interp_win
return config_def
def create(self, **kwargs):
full_ranges = self.full_ranges()
micro_windows = self.micro_windows()
num_channels = full_ranges.rows
# If micro_windows are not supplied use the full_ranges as the
# window values.
if micro_windows is None:
micro_windows = full_ranges
# Convert microwindows to the units
mw_conv = micro_windows.convert_wave(full_ranges.units)
# Map microwindows to spectral channels
mapping = {chan_idx: [] for chan_idx in range(num_channels)}
max_num_mw = 0
for mw_range in mw_conv.value:
# convert_wave may have reversed order
mw_beg, mw_end = sorted(mw_range)
match_found = False
for chan_idx, (full_beg, full_end) in enumerate(full_ranges.value):
if mw_beg >= full_beg and mw_end <= full_end:
mapping[chan_idx].append((mw_beg, mw_end))
match_found = True
max_num_mw = max(max_num_mw, len(mapping[chan_idx]))
break
if not match_found:
raise Exception(
'Could not find channel bounding microwindow: ({}, {})'.
format(mw_beg, mw_end))
# Create microwindow ranges
win_ranges = np.zeros((num_channels, max_num_mw, 2))
for chan_idx in range(num_channels):
for mw_idx, mw_range in enumerate(mapping[chan_idx]):
win_ranges[chan_idx, mw_idx, :] = mw_range
# Assign to configuration
return rf.SpectralWindowRange(
rf.ArrayWithUnit_double_3(win_ranges, full_ranges.units))