def add_easy_fcdr_variables(dataset,
height,
corr_dx=None,
corr_dy=None,
lut_size=None):
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH,
height,
NUM_CHANNELS,
np.float32,
fill_value=np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
tu.add_units(variable, "K")
variable.attrs["long_name"] = "independent uncertainty per pixel"
dataset["u_independent_tb"] = variable
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH,
height,
NUM_CHANNELS,
np.float32,
fill_value=np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
tu.add_units(variable, "K")
variable.attrs["long_name"] = "structured uncertainty per pixel"
dataset["u_structured_tb"] = variable
def test_add_geolocation_attribute(self):
default_array = DefaultData.create_default_array_3d(
8, 6, 4, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
TemplateUtil.add_geolocation_attribute(variable)
self.assertEqual("longitude latitude", variable.attrs["coordinates"])
def _create_temperature_array_3d(height, long_name, orig_name, dim_names):
default_array = DefaultData.create_default_array_3d(PRT_READING, height, PRT_NUMBER, np.float32, fill_value=np.NaN, dims_names=dim_names)
variable = Variable(["prt_number", "y", "prt_reading"], default_array)
tu.add_fill_value(variable, np.NaN)
tu.add_units(variable, "K")
variable.attrs["long_name"] = long_name
variable.attrs["orig_name"] = orig_name
return variable
def _create_3d_float_variable(height):
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH,
height,
NUM_CHANNELS,
np.float32,
fill_value=np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
return variable
def _create_time_ranges_variable(height, width, description):
default_array = DefaultData.create_default_array_3d(
width, height, 2, np.int32, fill_value=4294967295)
variable = Variable(["bounds", "y", "x"], default_array)
tu.add_fill_value(variable, 4294967295)
tu.add_units(variable, "s")
variable.attrs["description"] = description
variable.attrs["coordinates"] = "lon lat"
return variable
def _create_easy_fcdr_variable(height, long_name):
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.001, chunksizes=CHUNKING_BT)
variable.attrs["long_name"] = long_name
tu.add_units(variable, "K")
tu.add_geolocation_attribute(variable)
variable.attrs["valid_min"] = 1
variable.attrs["valid_max"] = 65534
return variable
def add_bt_variable(dataset, height):
# bt
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
variable.attrs["standard_name"] = "toa_brightness_temperature"
variable.attrs["long_name"] = "Brightness temperature, NOAA/EUMETSAT calibrated"
tu.add_units(variable, "K")
tu.add_encoding(variable, np.int16, FILL_VALUE, 0.01, 150.0, chunksizes=CHUNKING_BT)
tu.add_geolocation_attribute(variable)
variable.attrs["ancilliary_variables"] = "quality_scanline_bitmask quality_channel_bitmask"
dataset["bt"] = variable
def add_variables(dataset, width, height, num_samples=10):
tu.add_geolocation_variables(dataset, width, height, chunksizes=CHUNKING)
tu.add_quality_flags(dataset, width, height, chunksizes=CHUNKING)
default_array = DefaultData.create_default_vector(height, np.int32, fill_value=4294967295)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable, 4294967295)
variable.attrs["standard_name"] = "time"
variable.attrs["long_name"] = "Acquisition time in seconds since 1970-01-01 00:00:00"
tu.add_units(variable, "s")
dataset["time"] = variable
default_array = DefaultData.create_default_array_3d(width, height, num_samples, np.float32, fill_value=np.NaN)
variable = Variable(["samples","y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["standard_name"] = "sea_surface_temperature"
variable.attrs["units"] = "K"
variable.attrs["coordinates"] = "longitude latitude"
dataset["sst"] = variable
def test_add_coordinates_with_channel(self):
ds = xr.Dataset()
TemplateUtil.add_geolocation_variables(ds, 8, 11)
default_array = DefaultData.create_default_array_3d(
8, 11, 4, np.float32, np.NaN)
ds["three_d"] = Variable(["channel", "y", "x"], default_array)
TemplateUtil.add_coordinates(ds)
x = ds["x"]
self.assertEqual((8, ), x.shape)
self.assertEqual(np.uint16, x.dtype)
y = ds["y"]
self.assertEqual((11, ), y.shape)
self.assertEqual(np.uint16, y.dtype)
channel = ds["channel"]
self.assertEqual((4, ), channel.shape)
self.assertEqual(np.uint16, channel.dtype)
def add_original_variables(dataset,
height,
srf_size=None,
corr_dx=None,
corr_dy=None,
lut_size=None):
tu.add_geolocation_variables(dataset, SWATH_WIDTH, height)
tu.add_quality_flags(dataset, SWATH_WIDTH, height)
# btemps
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
variable.attrs["standard_name"] = "toa_brightness_temperature"
tu.add_encoding(variable, np.int32, -999999, scale_factor=0.01)
tu.add_units(variable, "K")
variable.attrs["ancillary_variables"] = "chanqual qualind scanqual"
dataset["btemps"] = variable
# chanqual
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.int32,
dims_names=["channel", "y"],
fill_value=0)
variable = Variable(["channel", "y"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs["flag_masks"] = "1, 2, 4, 8, 16, 32"
variable.attrs[
"flag_meanings"] = "some_bad_prt_temps some_bad_space_view_counts some_bad_bb_counts no_good_prt_temps no_good_space_view_counts no_good_bb_counts"
dataset["chanqual"] = variable
# instrtemp
default_array = DefaultData.create_default_vector(height,
np.float32,
fill_value=np.NaN)
variable = Variable(["y"], default_array)
tu.add_units(variable, "K")
tu.add_encoding(variable,
np.int32,
DefaultData.get_default_fill_value(np.int32),
scale_factor=0.01)
variable.attrs["long_name"] = "instrument_temperature"
dataset["instrtemp"] = variable
# qualind
default_array = DefaultData.create_default_vector(height,
np.int32,
fill_value=0)
variable = Variable(["y"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs[
"flag_masks"] = "33554432, 67108864, 134217728, 268435456, 536870912, 1073741824, 2147483648"
variable.attrs[
"flag_meanings"] = "instr_status_changed first_good_clock_update no_earth_loc no_calib data_gap_precedes time_seq_error not_use_scan"
dataset["qualind"] = variable
# scanqual
default_array = DefaultData.create_default_vector(height,
np.int32,
fill_value=0)
variable = Variable(["y"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs[
"flag_masks"] = "8, 16, 32, 64, 128, 1024, 2048, 4096, 8192, 16384, 32768, 1048576, 2097152, 4194304, 8388608"
variable.attrs[
"flag_meanings"] = "earth_loc_quest_ant_pos earth_loc_quest_reas earth_loc_quest_margin earth_loc_quest_time no_earth_loc_time uncalib_instr_mode uncalib_channels calib_marg_prt uncalib_bad_prt calib_few_scans uncalib_bad_time repeat_scan_times inconsistent_time time_field_bad time_field_inferred"
dataset["scanqual"] = variable
# scnlin
default_array = DefaultData.create_default_vector(height, np.int32)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable,
DefaultData.get_default_fill_value(np.int32))
variable.attrs["long_name"] = "scanline"
dataset["scnlin"] = variable
# scnlindy
default_array = DefaultData.create_default_vector(height, np.int32)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable,
DefaultData.get_default_fill_value(np.int32))
variable.attrs["long_name"] = "Acquisition day of year of scan"
dataset["scnlindy"] = variable
# scnlintime
default_array = DefaultData.create_default_vector(height, np.int32)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable,
DefaultData.get_default_fill_value(np.int32))
variable.attrs[
"long_name"] = "Acquisition time of scan in milliseconds since beginning of the day"
tu.add_units(variable, "ms")
dataset["scnlintime"] = variable
# scnlinyr
default_array = DefaultData.create_default_vector(height, np.int32)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable,
DefaultData.get_default_fill_value(np.int32))
variable.attrs["long_name"] = "Acquisition year of scan"
dataset["scnlinyr"] = variable
# satellite_azimuth_angle
variable = AMSUB_MHS.create_angle_variable(height,
"sensor_azimuth_angle")
dataset["satellite_azimuth_angle"] = variable
# satellite_zenith_angle
variable = AMSUB_MHS.create_angle_variable(height,
"sensor_zenith_angle")
dataset["satellite_zenith_angle"] = variable
# solar_azimuth_angle
variable = AMSUB_MHS.create_angle_variable(height,
"solar_azimuth_angle")
dataset["solar_azimuth_angle"] = variable
# solar_zenith_angle
variable = AMSUB_MHS.create_angle_variable(height,
"solar_zenith_angle")
dataset["solar_zenith_angle"] = variable
# acquisition_time
default_array = DefaultData.create_default_vector(height, np.int32)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable,
DefaultData.get_default_fill_value(np.int32))
variable.attrs["standard_name"] = "time"
variable.attrs[
"long_name"] = "Acquisition time in seconds since 1970-01-01 00:00:00"
tu.add_units(variable, "s")
dataset["acquisition_time"] = variable
def _create_3d_bt_uncertainty_variable(height, standard_name):
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH, height, NUM_CHANNELS, np.float32, dims_names=["channel", "y", "x"])
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, DefaultData.get_default_fill_value(np.float32))
variable.attrs["standard_name"] = standard_name
return variable
def add_full_fcdr_variables(dataset, height):
# c_earth
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH, height, NUM_RAD_CHANNELS, np.uint16, dims_names=["rad_channel", "y", "x"])
variable = Variable(["rad_channel", "y", "x"], default_array)
tu.add_fill_value(variable, DefaultData.get_default_fill_value(np.uint16))
variable.attrs["long_name"] = "counts_earth"
tu.add_units(variable, "count")
variable.attrs["ancilliary_variables"] = "scnlinf quality_scanline_bitmask quality_channel_bitmask mnfrqualflags"
dataset["c_earth"] = variable
# L_earth
default_array = DefaultData.create_default_array_3d(SWATH_WIDTH, height, NUM_RAD_CHANNELS, np.float32, np.NaN, ["rad_channel", "y", "x"])
variable = Variable(["rad_channel", "y", "x"], default_array)
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.0001)
variable.attrs["standard_name"] = "toa_outgoing_inband_radiance"
tu.add_units(variable, "W/Hz/m ** 2/sr")
variable.attrs["long_name"] = "Channel radiance, NOAA/EUMETSAT calibrated"
variable.attrs["ancilliary_variables"] = "scnlinf quality_scanline_bitmask quality_channel_bitmask mnfrqualflags"
dataset["L_earth"] = variable
# u_lat
variable = HIRS._create_angle_variable(height, "uncertainty_latitude")
dataset["u_lat"] = variable
# u_lon
variable = HIRS._create_angle_variable(height, "uncertainty_longitude")
dataset["u_lon"] = variable
# u_time
variable = tu.create_float_variable(SWATH_WIDTH, height, "uncertainty_time")
tu.add_encoding(variable, np.uint16, 65535, 0.01)
tu.add_units(variable, "s")
dataset["u_time"] = variable
# u_c_earth
default_array = DefaultData.create_default_array(NUM_CALIBRATION_CYCLE, NUM_CHANNELS, np.uint16, dims_names=["channel", "calibration_cycle"])
variable = Variable(["channel", "calibration_cycle"], default_array)
tu.add_fill_value(variable, DefaultData.get_default_fill_value(np.uint16))
tu.add_units(variable, "count")
variable.attrs["long_name"] = "uncertainty counts for Earth views"
variable.attrs["ancilliary_variables"] = "u_c_earth_chan_corr"
variable.attrs["channels_affected"] = "all"
variable.attrs["parameter"] = "C_E"
variable.attrs["pdf_shape"] = "gaussian"
dataset["u_c_earth"] = variable
# u_L_earth_independent
variable = HIRS._create_3d_rad_uncertainty_variable(height, "uncertainty_radiance_Earth_random")
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.01)
tu.add_units(variable, "mW m^-2 sr^-1 cm")
dataset["u_L_earth_independent"] = variable
# u_L_earth_structured
variable = HIRS._create_3d_rad_uncertainty_variable(height, "uncertainty_radiance_Earth_structured")
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.01)
tu.add_units(variable, "mW m^-2 sr^-1 cm")
dataset["u_L_earth_structured"] = variable
# u_L_earth_systematic
variable = HIRS._create_3d_rad_uncertainty_variable(height, "uncertainty_radiance_Earth_systematic")
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.01)
tu.add_units(variable, "mW m^-2 sr^-1 cm")
dataset["u_L_earth_systematic"] = variable
# u_L_earth_total
variable = HIRS._create_3d_rad_uncertainty_variable(height, "uncertainty_radiance_Earth_total")
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.01)
tu.add_units(variable, "mW m^-2 sr^-1 cm")
dataset["u_L_earth_total"] = variable
# S_u_L_earth
variable = tu.create_float_variable(NUM_RAD_CHANNELS, NUM_RAD_CHANNELS, "covariance_radiance_Earth", dim_names=["rad_channel", "rad_channel"])
tu.add_encoding(variable, np.uint32, DefaultData.get_default_fill_value(np.uint32), 0.01)
dataset["S_u_L_earth"] = variable
# u_bt_random
variable = HIRS._create_3d_bt_uncertainty_variable(height, "uncertainty_bt_random")
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
tu.add_units(variable, "K")
dataset["u_bt_random"] = variable
# u_bt_structured
variable = HIRS._create_3d_bt_uncertainty_variable(height, "uncertainty_bt_structured")
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
tu.add_units(variable, "K")
dataset["u_bt_structured"] = variable
# u_bt_systematic
variable = HIRS._create_3d_bt_uncertainty_variable(height, "uncertainty_bt_systematic")
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
tu.add_units(variable, "K")
dataset["u_bt_systematic"] = variable
# u_bt_total
variable = HIRS._create_3d_bt_uncertainty_variable(height, "uncertainty_bt_total")
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
tu.add_units(variable, "K")
dataset["u_bt_total"] = variable
# S_bt
variable = tu.create_float_variable(NUM_RAD_CHANNELS, NUM_RAD_CHANNELS, "covariance_brightness_temperature", dim_names=["rad_channel", "rad_channel"])
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
dataset["S_bt"] = variable
# l1b_calcof
default_array = DefaultData.create_default_array(height, NUM_COEFFS, np.float32, dims_names=["coeffs", "y"])
variable = Variable(["coeffs", "y"], default_array)
tu.add_encoding(variable, np.int32, DefaultData.get_default_fill_value(np.int32), 0.01)
variable.attrs["standard_name"] = "calibration_coefficients"
dataset["l1b_calcof"] = variable
# navigation_status
variable = HIRS._create_int32_vector(height, standard_name="status_flag", long_name="Navigation status bit field", orig_name="hrs_navstat")
dataset["navigation_status"] = variable
# quality_flags
variable = HIRS._create_int32_vector(height, standard_name="status_flag", long_name="Quality indicator bit field", orig_name="hrs_qualind")
dataset["quality_flags"] = variable
variable = HIRS._create_scaled_uint16_vector(height, long_name="Platform altitude", original_name="hrs_scalti")
tu.add_units(variable, "km")
dataset["platform_altitude"] = variable
variable = HIRS._create_scaled_int16_vector(height, long_name="Platform pitch angle", original_name="hrs_pitchang")
tu.add_units(variable, "degree")
dataset["platform_pitch_angle"] = variable
variable = HIRS._create_scaled_int16_vector(height, long_name="Platform roll angle", original_name="hrs_rollang")
tu.add_units(variable, "degree")
dataset["platform_roll_angle"] = variable
variable = HIRS._create_scaled_int16_vector(height, long_name="Platform yaw angle", original_name="hrs_yawang")
tu.add_units(variable, "degree")
dataset["platform_yaw_angle"] = variable
# scan_angles
default_array = DefaultData.create_default_array(NUM_SCAN_ANGLES, height, np.float32, dims_names=["y", "num_scan_angles"], fill_value=np.NaN)
variable = Variable(["y", "num_scan_angles"], default_array)
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), scale_factor=0.01)
tu.add_units(variable, "degree")
variable.attrs["long_name"] = "Scan angles"
variable.attrs["orig_name"] = "hrs_ang"
dataset["scan_angles"] = variable
dataset["l1b_scanline_number"] = HIRS._create_int16_vector(height, long_name="scanline number", orig_name="hrs_scnlin")
dataset["scanline_position"] = HIRS._create_int8_vector(height, long_name="Scanline position number in 32 second cycle", orig_name="hrs_scnpos")
# second_original_calibration_coefficients
default_array = DefaultData.create_default_array(WIDTH_TODO, height, np.float32, fill_value=np.NaN)
variable = Variable(["y", "width_todo"], default_array)
tu.add_encoding(variable, np.int32, DefaultData.get_default_fill_value(np.int32), scale_factor=0.01)
variable.attrs["long_name"] = "Second original calibration coefficients (unsorted)"
variable.attrs["orig_name"] = "hrs_scalcof"
dataset["l1b_second_original_calibration_coefficients"] = variable
dataset["Tc_baseplate"] = HIRS._create_counts_vector(height, "temperature_baseplate_counts")
dataset["Tc_ch"] = HIRS._create_counts_vector(height, "temperature_coolerhousing_counts")
dataset["Tc_elec"] = HIRS._create_counts_vector(height, "temperature_electronics_counts")
dataset["Tc_fsr"] = HIRS._create_counts_vector(height, "temperature_first_stage_radiator_counts")
dataset["Tc_fwh"] = HIRS._create_counts_vector(height, "temperature_filter_wheel_housing_counts")
dataset["Tc_fwm"] = HIRS._create_counts_vector(height, "temperature_filter_wheel_monitor_counts")
dataset["Tc_icct"] = HIRS._create_counts_vector(height, "temperature_internal_cold_calibration_target_counts")
dataset["Tc_iwct"] = HIRS._create_counts_vector(height, "temperature_internal_warm_calibration_target_counts")
dataset["Tc_patch_exp"] = HIRS._create_counts_vector(height, "temperature_patch_expanded_scale_counts")
dataset["Tc_patch_full"] = HIRS._create_counts_vector(height, "temperature_patch_full_range_counts")
dataset["Tc_tlscp_prim"] = HIRS._create_counts_vector(height, "temperature_telescope_primary_counts")
dataset["Tc_tlscp_sec"] = HIRS._create_counts_vector(height, "temperature_telescope_secondary_counts")
dataset["Tc_tlscp_tert"] = HIRS._create_counts_vector(height, "temperature_telescope_tertiary_counts")
dataset["Tc_scanmirror"] = HIRS._create_counts_vector(height, "temperature_scanmirror_counts")
dataset["Tc_scanmotor"] = HIRS._create_counts_vector(height, "temperature_scanmotor_counts")
dataset["u_Tc_baseplate"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_baseplate_counts")
dataset["u_Tc_ch"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_coolerhousing_counts")
dataset["u_Tc_elec"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_electronics_counts")
dataset["u_Tc_fsr"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_first_stage_radiator_counts")
dataset["u_Tc_fwh"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_filter_wheel_housing_counts")
dataset["u_Tc_fwm"] = HIRS._create_counts_uncertainty_vector(height, "uncertainty_temperature_filter_wheel_monitor_counts")
dataset["u_Tc_icct"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_internal_cold_calibration_target_counts")
dataset["u_Tc_iwct"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_internal_warm_calibration_target_counts")
dataset["u_Tc_patch_exp"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_patch_expanded_scale_counts")
dataset["u_Tc_patch_full"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_patch_full_range_counts")
dataset["u_Tc_tlscp_prim"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_telescope_primary_counts")
dataset["u_Tc_tlscp_sec"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_telescope_secondary_counts")
dataset["u_Tc_tlscp_tert"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_telescope_tertiary_counts")
dataset["u_Tc_scanmirror"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_scanmirror_counts")
dataset["u_Tc_scanmotor"] = HIRS._create_counts_uncertainty_vector_uint32(height, "uncertainty_temperature_scanmotor_counts")
dataset["u_sol_za"] = HIRS._create_geo_angle_uncertainty_variable("uncertainty_solar_zenith_angle", height, FILL_VALUE)
dataset["u_sol_aa"] = HIRS._create_geo_angle_uncertainty_variable("uncertainty_solar_azimuth_angle", height, FILL_VALUE)
dataset["u_sat_za"] = HIRS._create_geo_angle_uncertainty_variable("uncertainty_satellite_zenith_angle", height, FILL_VALUE)
dataset["u_sat_aa"] = HIRS._create_geo_angle_uncertainty_variable("uncertainty_local_azimuth_angle", height, FILL_VALUE)
# u_c_earth_chan_corr
dataset["u_c_earth_chan_corr"] = HIRS._create_channel_correlation_variable("u_c_earth channel correlations", np.int16)
# u_c_space
default_array = DefaultData.create_default_array(NUM_CALIBRATION_CYCLE, NUM_CHANNELS, np.uint16, dims_names=["channel", "calibration_cycle"])
variable = Variable(["channel", "calibration_cycle"], default_array)
tu.add_fill_value(variable, DefaultData.get_default_fill_value(np.uint16))
tu.add_units(variable, "count")
tu.add_scale_factor(variable, 0.005)
variable.attrs["long_name"] = "uncertainty counts for space views"
variable.attrs["ancilliary_variables"] = "u_c_space_chan_corr"
variable.attrs["channels_affected"] = "all"
variable.attrs["parameter"] = "C_s"
variable.attrs["pdf_shape"] = "gaussian"
dataset["u_c_space"] = variable
# u_c_space_chan_corr
dataset["u_c_space_chan_corr"] = HIRS._create_channel_correlation_variable("u_c_space channel correlations", np.uint16)
# u_Earthshine
dataset["u_Earthshine"] = HIRS._create_channel_uncertainty_uint16(height)
# u_O_Re
dataset["u_O_Re"] = HIRS._create_channel_uncertainty_uint16(height)
# u_O_TIWCT
default_array = DefaultData.create_default_vector(height, np.float32, np.NaN)
variable = Variable(["y"], default_array)
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
dataset["u_O_TIWCT"] = variable
# u_O_TPRT
default_array = DefaultData.create_default_vector(height, np.uint16, DefaultData.get_default_fill_value(np.uint16))
variable = Variable(["y"], default_array)
tu.add_fill_value(variable, 65535)
tu.add_scale_factor(variable, 0.01)
tu.add_units(variable, "K")
variable.attrs["channels_affected"] = "all"
variable.attrs[corr.PIX_CORR_FORM] = corr.RECT_ABS
variable.attrs[corr.PIX_CORR_UNIT] = corr.PIXEL
variable.attrs[corr.PIX_CORR_SCALE] = [-np.inf, np.inf]
variable.attrs[corr.SCAN_CORR_FORM] = corr.RECT_ABS
variable.attrs[corr.SCAN_CORR_UNIT] = corr.LINE
variable.attrs[corr.SCAN_CORR_SCALE] = [-np.inf, np.inf]
variable.attrs[corr.IMG_CORR_FORM] = corr.RECT_ABS
variable.attrs[corr.IMG_CORR_UNIT] = corr.IMG
variable.attrs[corr.IMG_CORR_SCALE] = [-np.inf, np.inf]
variable.attrs["parameter"] = "O_TPRT"
variable.attrs["pdf_shape"] = "gaussian"
variable.attrs["short_name"] = "O_TPRT"
variable.attrs["ancilliary_variables"] = "u_O_TPRT_chan_corr"
dataset["u_O_TPRT"] = variable
dataset["u_Rself"] = HIRS._create_channel_uncertainty_uint16(height)
dataset["u_SRF_calib"] = HIRS._create_channel_uncertainty_uint16(height)
default_array = DefaultData.create_default_array(PRT_NUMBER_IWT, PRT_READING, dtype=np.float32, dims_names=["prt_number_iwt", "prt_reading"], fill_value=np.NaN)
variable = Variable(["prt_number_iwt", "prt_reading"], default_array)
tu.add_encoding(variable, np.uint16, DefaultData.get_default_fill_value(np.uint16), 0.01)
dataset["u_d_PRT"] = variable
dataset["u_electronics"] = HIRS._create_channel_uncertainty_uint16(height)
dataset["u_periodic_noise"] = HIRS._create_channel_uncertainty_uint16(height)
dataset["u_nonlinearity"] = HIRS._create_scaled_uint16_vector(NUM_CHANNELS, dimension_name=["channel"], scale_factor=0.01)
dataset["emissivity"] = tu.create_scalar_float_variable("emissivity", units="1")
dataset["temp_corr_slope"] = tu.create_scalar_float_variable("Slope for effective temperature correction", units="1")
dataset["temp_corr_offset"] = tu.create_scalar_float_variable("Offset for effective temperature correction", units="1")
# mnfrqualflags
default_array = DefaultData.create_default_array(NUM_MINOR_FRAME, height, np.int32, dims_names=["y", "minor_frame"], fill_value=0)
variable = Variable(["y", "minor_frame"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs["long_name"] = "minor_frame_quality_flags_bitfield"
dataset["mnfrqualflags"] = variable
# scnlintime
variable = HIRS._create_int32_vector(height, standard_name="time", long_name="Scan line time of day", orig_name="hrs_scnlintime")
tu.add_units(variable, "ms")
dataset["scnlintime"] = variable
# scnlinf
default_array = DefaultData.create_default_vector(height, np.int16, fill_value=0)
variable = Variable(["y"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs["long_name"] = "scanline_bitfield"
variable.attrs["flag_masks"] = "16384, 32768"
variable.attrs["flag_meanings"] = "clock_drift_correction southbound_data"
dataset["scnlinf"] = variable
# scantype
default_array = DefaultData.create_default_vector(height, np.int8, fill_value=0)
variable = Variable(["y"], default_array)
variable.attrs["standard_name"] = "status_flag"
variable.attrs["long_name"] = "scantype_bitfield"
variable.attrs["flag_values"] = "0, 1, 2, 3"
variable.attrs["flag_meanings"] = "earth_view space_view cold_bb_view main_bb_view"
dataset["scantype"] = variable
def add_full_fcdr_variables(dataset, height):
# u_Temperature_misc_housekeeping
default_array = DefaultData.create_default_array(
height,
NUM_THERMISTORS,
np.float32,
dims_names=["housekeeping", "y"],
fill_value=np.NaN)
variable = Variable(["housekeeping", "y"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
variable.attrs["units"] = "TODO"
dataset["u_Temperature_misc_housekeeping"] = variable
# u_cold_counts
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, CALIB_NUMBER, np.float32, np.NaN)
variable = Variable(["calib_number", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["u_cold_counts"] = variable
# u_counts_to_tb_gain
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["u_counts_to_tb_gain"] = variable
# u_counts_to_tb_offset
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["u_counts_to_tb_offset"] = variable
# u_gain_control
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["u_gain_control"] = variable
# u_tb
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
tu.add_units(variable, "K")
dataset["u_tb"] = variable
# u_thermal_reference
default_array = DefaultData.create_default_vector(
height, np.float32, np.NaN)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
tu.add_units(variable, "TODO")
dataset["u_thermal_reference"] = variable
# u_warm_counts
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, CALIB_NUMBER, np.float32, np.NaN)
variable = Variable(["calib_number", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["u_warm_counts"] = variable
def add_original_variables(dataset, height, srf_size=None):
tu.add_geolocation_variables(dataset, SWATH_WIDTH, height)
tu.add_quality_flags(dataset, SWATH_WIDTH, height)
# Temperature_misc_housekeeping
default_array = DefaultData.create_default_array(
height,
NUM_THERMISTORS,
np.float32,
dims_names=["housekeeping", "y"],
fill_value=np.NaN)
variable = Variable(["housekeeping", "y"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
variable.attrs["units"] = "TODO"
dataset["Temperature_misc_housekeeping"] = variable
# ancil_data
default_array = DefaultData.create_default_array(
height,
ANCIL_VAL,
np.float64,
dims_names=["ancil_val", "y"],
fill_value=np.NaN)
variable = Variable(["ancil_val", "y"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "Additional per scan information: year, day_of_year, secs_of_day, sat_lat, " \
"sat_long, sat_alt, sat_heading, year, day_of_year, secs_of_day"
dataset["ancil_data"] = variable
# channel_quality_flag
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
dataset["channel_quality_flag"] = variable
# cold_counts
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, CALIB_NUMBER, np.float32, np.NaN)
variable = Variable(["calib_number", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["cold_counts"] = variable
# counts_to_tb_gain
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["counts_to_tb_gain"] = variable
# counts_to_tb_offset
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["counts_to_tb_offset"] = variable
# gain_control
default_array = DefaultData.create_default_array(
height,
NUM_CHANNELS,
np.float32,
dims_names=["channel", "y"],
fill_value=np.NaN)
variable = Variable([
"channel",
"y",
], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["gain_control"] = variable
# tb
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, NUM_CHANNELS, np.float32, np.NaN)
variable = Variable(["channel", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
variable.attrs["standard_name"] = "toa_brightness_temperature"
tu.add_units(variable, "K")
dataset["tb"] = variable
# thermal_reference
default_array = DefaultData.create_default_vector(
height, np.float32, np.NaN)
variable = Variable(["y"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
tu.add_units(variable, "TODO")
dataset["thermal_reference"] = variable
# warm_counts
default_array = DefaultData.create_default_array_3d(
SWATH_WIDTH, height, CALIB_NUMBER, np.float32, np.NaN)
variable = Variable(["calib_number", "y", "x"], default_array)
tu.add_fill_value(variable, np.NaN)
variable.attrs["long_name"] = "TODO"
dataset["warm_counts"] = variable
