RA2_SOI_AX version 0

RA2_SOI_AX_v0

This definition is based on issue 3/O of product specification PO-RS-MDA-GS-2009

root type

binary recordsize: 22585
idfield namedefinition
0mph
ascii record "MPH"size: 1247
1sph
ascii record "Auxiliary_Data_SPH"size: 98
2dsd
ascii array[11]size: 3080
ascii record "DSD"size: 280
3node_a11
binary recordsize: 76
idfield namedefinition
0centre_avg_measurement
binary doublesize: 8
Centre of the averaged measurement
1num_ku_fft_samples
binary int32size: 4
Number of Ku band FFT samples
2num_ku_dft_samples
binary int32size: 4
Number of Ku band DFT samples
3total_num_ku_wvfrm_samples
binary int32size: 4
Total number of Ku band waveforms samples
4total_num_s_wvfrm_samples
binary int32size: 4
Total number of S band wavefroms samples
5dft_abscissa_numbering_offset
binary int32size: 4
DFT abscissa numbering offset
6rad_dist_land_contamination_corruption
binary doublesize: 8
Radial distance away from nadir point at which land contamination would be sufficient to corrupt the path delay by 5 mm

unit: "m"
7spare
binary array[40]size: 40
binary uint8size: 1

hidden: true
4node_a12
binary recordsize: 100
idfield namedefinition
0compatibility_thresh_pole_location_data
binary doublesize: 8
Compatibility threshold for the pole location data

unit: "s"
1thresh_meteo_data_nominal_interpolation
binary doublesize: 8
Threshold for meteo data nominal interpolation

unit: "s"
2thresh_meteo_data_degraded_interpolation
binary doublesize: 8
Threshold for meteo data degraded interpolation

unit: "s"
3thresh_meteo_data_extrapolation
binary doublesize: 8
Threshold for meteo data extrapolation

unit: "m"
4exp_val_indicator_meteo_parameters
binary array[6]size: 24
binary int32size: 4
Expected values of the indicator for meteo parameters
5num_vert_levels_extract_from_profiles
binary int32size: 4
Expected values of the indicator for meteo parameters
6spare
binary array[40]size: 40
binary uint8size: 1

hidden: true
5node_a21
binary recordsize: 984
idfield namedefinition
0min_exp_abscissa_central_sample_ice2
binary array[4]size: 32
binary doublesize: 8
Minimum expected abscissa of the central sample - ice2
1max_exp_abscissa_central_sample_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum expected abscissa of the central sample - ice2
2option_for_thermal_noise_computation_ice2
binary array[4]size: 16
binary int32size: 4
Option for thermal noise computation - ice2
3abscissa_of_first_sample_for_noise_est_ice2
binary array[4]size: 32
binary doublesize: 8
Abscissa of the first sample for noise estimation - ice2
4abscissa_of_last_sample_for_noise_est_ice2
binary array[4]size: 32
binary doublesize: 8
Abscissa of the last sample for noise estimation - ice2
5min_abscissa_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Minimum abscissa of the leading edge - ice2
6therm_noise_wght_factor_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Thermal noise weighting factor for leading edge id - ice2
7max_abscissa_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum abscissa for leading edge evaluation - ice2
8leading_edge_width_threshold_ice2
binary array[4]size: 32
binary doublesize: 8
Leading edge width threshold - ice2

unit: "s"
9max_left_gap_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum left gap of the leading edge - ice2
10thermal_noise_wght_factor_for_est_cond_ice2
binary array[4]size: 32
binary doublesize: 8
Thermal noise weighting factor for estim. conditions - ice2
11left_shift_beginning_of_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Left shift of the beginning of the leading edge - ice2
12right_shift_end_of_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Right shift of the end of the leading edge - ice2
13min_abscissa_est_window_ice2
binary array[4]size: 32
binary doublesize: 8
Minimum abscissa of the estimation window - ice2
14max_abscissa_est_window_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum abscissa of the estimation window - ice2
15right_offset_est_window_ice2
binary array[4]size: 32
binary doublesize: 8
Right offset of the estimation window - ice2
16max_abscissa_slope_window_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum abscissa of the slope window - ice2
17max_abscissa_slope_window_for_mispointing_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum abscissa of the slope window for mispointing - ice2
18width_of_first_slope_window_ice2
binary array[4]size: 32
binary doublesize: 8
Width of the first slope window - ice2

unit: "s"
19width_of_second_slope_window_ice2
binary array[4]size: 32
binary doublesize: 8
Width of the second slope window - ice2

unit: "s"
20width_of_slope_window_for_mispointing_ice2
binary array[4]size: 32
binary doublesize: 8
Width of the slope window for mispointing - ice2

unit: "s"
21initial_value_of_residual_ice2
binary array[4]size: 32
binary doublesize: 8
Initial value of the residual - ice2
22min_expected_width_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Minimum expected width of the leading edge - ice2
23max_expected_width_leading_edge_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum expected width of the leading edge - ice2
24step_for_fine_estimation_of_epoch_ice2
binary array[4]size: 32
binary doublesize: 8
Step for the fine estimation of epoch - ice2
25step_for_fine_estimation_of_sigma_l_ice2
binary array[4]size: 32
binary doublesize: 8
Step for the fine estimation of sigma L - ice2
26default_thermal_noise_level_ice2
binary array[4]size: 32
binary doublesize: 8
Default thermal noise level - ice2 (unit: FFT power unit)
27limit_argument_for_erf_function
binary doublesize: 8
Limit argument for the erf function - ice2
28factor_applied_to_wf_maximum_ice2
binary array[4]size: 32
binary doublesize: 8
Factor applied to the WF maximum to obtain the LE threshold - ice2
29min_abscissa_of_mispointing_estimation_ice2
binary array[4]size: 32
binary doublesize: 8
Minimum abscissa of the mispointing estimation - ice2
30maximum_abscissa_of_the_mispointing_estimation_ice2
binary array[4]size: 32
binary doublesize: 8
Maximum abscissa of the mispointing estimation - ice2
31spare
binary array[32]size: 32
binary uint8size: 1

hidden: true
6node_a22
binary recordsize: 1416
idfield namedefinition
0skewness_coeffient_ocean
binary array[4]size: 32
binary doublesize: 8
Skewness coefficient - ocean
1min_exp_abscissa_central_sample_ocean
binary array[4]size: 32
binary doublesize: 8
Minimum expected abscissa of the central sample - ocean
2max_exp_abscissa_central_sample_ocean
binary array[4]size: 32
binary doublesize: 8
Maximum expected abscissa of the central sample - ocean
3option_for_thermal_noise_computation_ocean
binary array[4]size: 16
binary int32size: 4
Option for thermal noise computation - ocean
4abscissa_of_first_sample_for_noise_est_ocean
binary array[4]size: 32
binary doublesize: 8
Abscissa of the first sample for noise estimation - ocean
5abscissa_of_last_sample_for_noise_est_ocean
binary array[4]size: 32
binary doublesize: 8
Abscissa of the last sample for noise estimation - ocean
6width_amplitude_window_ocean
binary array[4]size: 32
binary doublesize: 8
Width of the amplitude window - ice2
7abscissa_of_first_sample_for_est_ocean
binary array[4]size: 32
binary doublesize: 8
Abscissa of the first sample for estimation - ocean
8abscissa_of_last_sample_for_est_ocean
binary array[4]size: 32
binary doublesize: 8
Abscissa of the last sample for estimation - ocean
9therm_noise_wght_factor_for_estim_cond_ocean
binary array[4]size: 32
binary doublesize: 8
Thermal noise weighting factor for estim. conditions - ocean
10ice2_mqe_threshold_ocean
binary array[4]size: 32
binary doublesize: 8
Ice2 MQE threshold - ocean
11weighting_factor_for_ampl_est_ocean
binary array[4]size: 32
binary doublesize: 8
Weighting factor for amplitude estimation - ocean
12normalised_ampl_thresh_for_epoch_init_ocean
binary array[4]size: 32
binary doublesize: 8
Normalised amplitude threshold for epoch init. - ocean

unit: "s"
13default_sigma_c_ocean
binary array[4]size: 32
binary doublesize: 8
Default value of SigmaC - ocean
14max_num_it_for_uniform_lse_ocean
binary array[4]size: 16
binary int32size: 4
Maximum number of iterations for the uniform LSE - ocean
15uniform_weighting_constant_ocean
binary array[4]size: 32
binary doublesize: 8
Uniform weighting constant - ocean
16min_val_adapt_gain_lambda_ocean
binary array[4]size: 32
binary doublesize: 8
Minimum value of the adaptative gain Lambda - ocean
17max_val_adapt_gain_lambda_ocean
binary array[4]size: 32
binary doublesize: 8
Maximum value of the adaptative gain Lambda - ocean
18width_fine_est_window_ocean
binary array[4]size: 32
binary doublesize: 8
Width of the fine estimation window - ocean

unit: "s"
19half_width_leading_edge_wght_zone_ocean
binary array[4]size: 32
binary doublesize: 8
Half width of the leading edge weighting zone - ocean
20order_0_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 0 weighting coef. for the first plateau - ocean
21order_1_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 1 weighting coef. for the first plateau - ocean
22order_2_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 2 weighting coef. for the first plateau - ocean
23order_3_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 3 weighting coef. for the first plateau - ocean
24order_4_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 4 weighting coef. for the first plateau - ocean
25order_5_weight_coeff_first_plateau_ocean
binary array[4]size: 32
binary doublesize: 8
Order 5 weighting coef. for the first plateau - ocean
26order_0_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 0 weighting coef. for the leading edge - ocean
27order_1_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 1 weighting coef. for the leading edge - ocean
28order_2_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 2 weighting coef. for the leading edge - ocean
29order_3_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 3 weighting coef. for the leading edge - ocean
30order_4_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 4 weighting coef. for the leading edge - ocean
31order_5_weight_coeff_leading_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 5 weighting coef. for the leading edge - ocean
32order_0_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 0 weighting coef. for the trailing edge - ocean
33order_1_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 1 weighting coef. for the trailing edge - ocean
34order_2_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 2 weighting coef. for the trailing edge - ocean
35order_3_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 3 weighting coef. for the trailing edge - ocean
36order_4_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 4 weighting coef. for the trailing edge - ocean
37order_5_weight_coeff_trailing_edge_ocean
binary array[4]size: 32
binary doublesize: 8
Order 5 weighting coef. for the trailing edge -ocean
38first_initial_value_mqe_ocean
binary array[4]size: 32
binary doublesize: 8
First initial value of the MQE - ocean
39second_initial_value_mqe_ocean
binary array[4]size: 32
binary doublesize: 8
Second initial value of the MQE - ocean
40max_num_iterations_weighted_lse_ocean
binary array[4]size: 16
binary int32size: 4
Maximum number of iterations of the weighted LSE - ocean
41min_swh_in_estimation_process_ocean
binary array[4]size: 32
binary doublesize: 8
Minimum SWH value in the estimation process - ocean

unit: "m"
42max_swh_in_estimation_process_ocean
binary array[4]size: 32
binary doublesize: 8
Maximum SWH value in the estimation process - ocean
43min_num_iterations_in_estim_process_ocean
binary array[4]size: 16
binary int32size: 4
Minimum number of iterations in the estim. process - ocean
44threshold_of_mqe_ratio_testing_ocean
binary array[4]size: 32
binary doublesize: 8
Threshold of the MQE ratio testing - ocean
45spare
binary array[40]size: 40
binary uint8size: 1

hidden: true
7node_a24
binary recordsize: 264
idfield namedefinition
0mqe_threshold
binary array[4]size: 32
binary doublesize: 8
MQE threshold
1avg_threshold_for_altimeter_range
binary array[4]size: 16
binary int32size: 4
Averaging threshold for the altimeter range
2avg_threshold_for_significant_waveheight
binary array[4]size: 16
binary int32size: 4
Averaging threshold for the significant waveheight
3avg_threshold_for_backscatter_coeff
binary array[4]size: 16
binary int32size: 4
Averaging threshold for the backscatter coefficient
4avg_threshold_for_off_nadir_angle
binary array[4]size: 16
binary int32size: 4
Averaging threshold for the off-nadir angle
5wght_factor_alt_range_ed
binary array[4]size: 32
binary doublesize: 8
Weighting factor for altimeter range edition
6wght_factor_significant_waveheight_ed
binary array[4]size: 32
binary doublesize: 8
Weighting factor for significant waveheight edition
7wght_factor_backsc_coeff_ed
binary array[4]size: 32
binary doublesize: 8
Weighting factor for backscatter coefficient edition
8wght_factor_off_nadir_angle_ed
binary array[4]size: 32
binary doublesize: 8
Weighting factor for off-nadir angle edition
9spare_1
binary array[40]size: 40
Spare
binary uint8size: 1
Spare

hidden: true
8node_a31
binary recordsize: 2572
idfield namedefinition
0max_val_sol_flux
binary doublesize: 8
Maximum value of solar flux

unit: "1e-22 W/(m^2 Hz)"
1max_order_devel_f0f2_longitude
binary int32size: 4
Maximum order of the devel. of f0F2 geographical function in longitude
2max_index_f0f2_order_m
binary array[9]size: 36
binary int32size: 4
Param. giving the maximum indexes of f0F2 functions for an order m
3nmax
binary int32size: 4
NMAX
4subset_f0f2_providing_m3000f2_func
binary array[10]size: 40
binary int32size: 4
Param. defining subset of f0F2 functions providing M(3000)F2 func
5num_harmonics_in_f0f2_and_m3000f2
binary array[2]size: 8
binary int32size: 4
Number of harmonics in the development of f0F2 and M(3000)F2
6north_magnetic_pole_lat
binary doublesize: 8
Latitude of the North magnetic pole

unit: "radians"
7north_magnetic_pole_lon
binary doublesize: 8
Longitude of the North magnetic pole

unit: "radians"
8hdr_table_ymtab_for_ym_calc_hloc
binary array[3]size: 24
binary doublesize: 8
Header of table YMTAB for the calculation of YM in hloc

unit: "hour"
9hdr_table_ymtab_for_ym_calc_f0f2
binary array[3]size: 24
binary doublesize: 8
Header of table YMTAB for the calculation of YM in f0F2

unit: "MHz"
10ym_12_values_9
binary array[108]size: 864
binary doublesize: 8
12 values of YM [9]

unit: "km"
11hdr_table_yrat1_for_rat1_calc_dsza
binary array[3]size: 24
binary doublesize: 8
Header of table YRAT1 for the calculation of RAT1 in DSZA

unit: "degrees"
12hdr_table_yrat1_for_rat1_calc_hloc
binary array[3]size: 24
binary doublesize: 8
Header of table YRAT1 for the calculation of RAT1 in hloc

unit: "hour"
13yrat1_7_values_4
binary array[28]size: 224
binary doublesize: 8
7 values of YRAT1 [4]
14hdr_table_yrat2_for_rat2_calc_dsza
binary array[3]size: 24
binary doublesize: 8
Header of table YRAT2 for the calculation of RAT2 in DSZA

unit: "degrees"
15hdr_table_yrat2_for_rat2_calc_hloc
binary array[3]size: 24
binary doublesize: 8
Header of table YRAT2 for the calculation of RAT2 in hloc

unit: "hour"
16yrat2_7_values_2
binary array[14]size: 112
binary doublesize: 8
7 values of YRAT2 [2]
17scale_factor_threshold_yt
binary doublesize: 8
Scale factor threshold for YT
18crit_freq_threshold_yt
binary doublesize: 8
Critical frequency threshold for YT

unit: "MHz"
19hdr_tables_slop_and_cept_in_fqf2
binary array[3]size: 24
binary doublesize: 8
Header of tables SLOP and CEPT in fqF2

unit: "MHz"
20hdr_tables_slop_and_cept_in_phim
binary array[3]size: 24
binary doublesize: 8
Header of tables SLOP and CEPT in φm

unit: "degrees"
21slop_1_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of SLOP(1) [3]
22slop_2_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of SLOP(2) [3]
23slop_3_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of SLOP(3) [3]
24cept_1_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of CEPT(1) [3]
25cept2_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of CEPT(2) [3]
26cept3_4_values_3
binary array[12]size: 96
binary doublesize: 8
4 values of CEPT(3) [3]
27hdr_table_ratk_for_rat1_calc_dsza
binary array[3]size: 24
binary doublesize: 8
Header of table RATK for the calculation of RAT1 in DSZA

unit: "degrees"
28hdr_table_ratk_for_rat1_calc_hloc
binary array[3]size: 24
binary doublesize: 8
Header of table RATK for the calculation of RAT1 in hloc

unit: "hour"
29ratk1_4_values_4
binary array[16]size: 128
binary doublesize: 8
4 values of RATK(1) [4]
30ratk2_4_values_4
binary array[16]size: 128
binary doublesize: 8
4 values of RATK(2) [4]
31ratk3_4_values_4
binary array[16]size: 128
binary doublesize: 8
4 values of RATK(3) [4]
32spare_2
binary array[40]size: 40
Spare
binary uint8size: 1
Spare

hidden: true
9node_a32
binary recordsize: 48
idfield namedefinition
0interpolation_win_size_mss
binary int32size: 4
Interpolation windows size for MSS
1interpolation_win_size_geoid
binary int32size: 4
Interpolation windows size for geoid
2spare_3
binary array[40]size: 40
Spare
binary uint8size: 1

hidden: true
10node_a33
binary recordsize: 1860
idfield namedefinition
0freq_astro_variables
binary array[5]size: 40
binary doublesize: 8
Frequencies of the astronomical variables at 1/1/1900 0h (mean longitude of the moon, mean longitude of the sun, mean longitude of the lunar perigee, opposite of the mean longitude of the lunar ascending node, mean longitude of the solar perigee)

unit: "degrees/day"
1phase_atro_variables
binary array[5]size: 40
binary doublesize: 8
Phases of the astronomical variables at 1/1/1900 0h (mean longitude of the moon, mean longitude of the sun, mean longitude of the lunar perigee, opposite of the mean longitude of the lunar ascending node, mean longitude of the solar perigee)

unit: "degrees"
2sol_1_admit_coeff_a_9_to_25
binary array[17]size: 136
binary doublesize: 8
solution 1 admittance coefficients ‘a’ for a tidal wave number 9 to 25
3idx_sol_1_admit_coeff_a_9_to_25
binary array[17]size: 68
binary int32size: 4
indexes of solution 1 admittance cofficients ‘a’ for a tidal wave number 9 to 25
4sol_1_admit_coeff_b_9_to_25
binary array[17]size: 136
binary doublesize: 8
solution 1 admittance coefficients ‘b’ for a tidal wave number 9 to 25
5idx_sol_1_admit_coeff_b_9_to_25
binary array[17]size: 68
binary int32size: 4
indexes of solution 1 admittance cofficients ‘b’ for a tidal wave number 9 to 25
6sol_1_admit_coeff_c_9_to_25
binary array[17]size: 136
binary doublesize: 8
solution 1 admittance coefficients ‘c’ for a tidal wave number 9 to 25
7idx_sol_1_admit_coeff_c_9_to_25
binary array[17]size: 68
binary int32size: 4
indexes of solution 1 admittance cofficients ‘c’ for a tidal wave number 9 to 25
8freq_sol_1_tidal_wave_1_to_25
binary array[25]size: 200
binary doublesize: 8
Frequency of the solution 1 tidal wave number 1 to 25

unit: "radians/s"
9sol_2_admit_coeff_a_10_to_27
binary array[18]size: 144
binary doublesize: 8
solution 2 admittance coefficients ‘a’ for a tidal wave number10 to 27
10idx_sol_2_admit_coeff_a_10_to_27
binary array[18]size: 72
binary int32size: 4
indexes of solution 2 admittance coefficients ‘a’ for tidal wave number 10 to 27
11sol_2_admit_coeff_b_10_to_27
binary array[18]size: 144
binary doublesize: 8
solution 2 admittance coefficients ‘b’ for tidal wave number 10 to 27
12idx_sol_2_admit_coeff_b_10_to_27
binary array[18]size: 72
binary int32size: 4
indexes of solutiom 2 admittance coefficients ‘b’ for tidal wave number 10 to 27
13sol_2_admit_coeff_c_10_to_27
binary array[18]size: 144
binary doublesize: 8
solution 2 admittance coefficients ‘c’ for tidal wave number 10 to 27
14idx_sol_2_admit_coeff_c_10_to_27
binary array[18]size: 72
binary int32size: 4
indexes of solutiom 2 admittance coefficients ‘c’ for tidal wave number 10 to 27
15freq_sol_2_tidal_wave_1_to_27
binary array[27]size: 216
binary doublesize: 8
Frequency of the solution 2 tidal wave number 1 to 27

unit: "radians/s"
16avg_pole_coordinate_x
binary doublesize: 8
X averaged pole coordinate

unit: "arcseconds"
17avg_pole_coordinate_y
binary doublesize: 8
Y averaged pole coordinate

unit: "arcseconds"
18love_numbers
binary array[4]size: 32
binary doublesize: 8
Love numbers (H2, K2, H3, K3)
19scale_amplitude_factor
binary doublesize: 8
Scale amplitude
20gravity
binary doublesize: 8
Gravity

unit: "m/s2"
21spare
binary array[40]size: 40
Spare
binary uint8size: 1

hidden: true
11node_a34
binary recordsize: 10564
idfield namedefinition
0time_intervals_for_mwr
binary array[3]size: 24
binary doublesize: 8
Time intervals for MWR (interp, extrap, no gap)

unit: "s"
1hdr_wind_table
binary array[3]size: 24
binary doublesize: 8
Header of the wind table (res, min, max)

unit: "dB"
2ra2_wind_speed_table
binary array[64]size: 512
binary doublesize: 8
Tabulated values of RA-2 windspeed

unit: "m/s"
3oxygen_attenuation
binary array[2]size: 16
binary doublesize: 8
Oxygen attenuation (Ku and S)

unit: "dB"
4water_vapour_absorption
binary array[2]size: 16
binary doublesize: 8
Water Vapour absorption (Ku and S)

unit: "dB/(g.cm-2)"
5cloud_liquid_water_absorption
binary array[2]size: 16
binary doublesize: 8
Cloud Liquid Water absorption (Ku and S)

unit: "dB/(kg.m-2)"
6clim_value_water_vapour_content
binary doublesize: 8
Climatological value for water vapour content

unit: "g.cm-2"
7clim_value_cloud_liquid_water_content
binary doublesize: 8
Climatological value for cloud liquid water content

unit: "kg/m2"
8clim_value_ku_band_backscat_coeff
binary doublesize: 8
Climatological value for Ku-Band backscatter coeff.

unit: "dB"
9time_intervals_ra2
binary array[3]size: 24
binary doublesize: 8
Time intervals for RA2 (interp, extrap, no gap

unit: "s"
10rain_flag_coefficient
binary doublesize: 8
Rain flag coefficient
11liquid_content_threshold
binary doublesize: 8
Liquid content threshold

unit: "kg/m2"
12delta_sigma0_diff_threshold
binary doublesize: 8
Delta sigma0 difference threshold

unit: "dB"
13header_of_expected_ku_band_sigma0
binary array[3]size: 24
binary doublesize: 8
Header of the expected Ku-band sigma0 (res,min,max)

unit: "dB"
14table_values_expected_ku_band_sigma0
binary array[500]size: 4000
binary doublesize: 8
Tabulated values of expected Ku-Band sigma0

unit: "dB"
15table_values_uncertainty_expected_ku_band_sigma0
binary array[500]size: 4000
binary doublesize: 8
Tabulated values of uncertainty of expected Ku-Band sigma0

unit: "dB"
16number_of_neurons
binary int32size: 4
Number of neurons
17mean_sigma0_ku_band
binary doublesize: 8
Mean value for sigma0 in Ku band

unit: "dB"
18stddev_sigma0_ku_band
binary doublesize: 8
Standard deviation value for sigma0 in Ku band

unit: "dB"
19mean_tb23
binary doublesize: 8
Mean value for TB23

unit: "K"
20stddev_tb23
binary doublesize: 8
Standard deviation value for TB23

unit: "K"
21mean_tb36
binary doublesize: 8
Mean value for TB36

unit: "K"
22stddev_tb36
binary doublesize: 8
Standard deviation value for TB36

unit: "K"
23mean_atmospheric_attenuation_ku_band
binary doublesize: 8
Mean value for the atmospheric attenuation in Ku band

unit: "dB"
24stddev_atmospheric_attenuation_ku_band
binary doublesize: 8
Standard deviation value for the atmospheric attenuation in Ku-band

unit: "dB"
25w1_sigma0_weights_atmo_att_ku_band
binary array[8]size: 64
binary doublesize: 8
W1_sigma0, weights applied to Sigma0_Ku at the first layer of the MWR neural network for the atmospheric attenuation in Ku-band
26w1_tb23_weights_atmo_att_ku_band
binary array[8]size: 64
binary doublesize: 8
W1_TB23 weights applied to TB23 at the first layer of the MWR neural network for the atmospheric attenuation in Ku-band
27w1_tb36_weights_atmo_att_ku_band
binary array[8]size: 64
binary doublesize: 8
W1_TB36 weights applied to TB36 at the first layer of the MWR neural network for the atmospheric attenuation in Ku-band
28w2_weights_atmo_att_ku_band
binary array[8]size: 64
binary doublesize: 8
W2, weights applied at the second layer of the MWR neural network, for the atmospheric attenuation in Ku-Band
29bias1_atmo_att_ku_band
binary array[8]size: 64
binary doublesize: 8
Bias1, bias applied at the first layer of the MWR neural network, for the atmospheric attenuation in Ku-Band
30bias2_atmo_att_ku_band
binary doublesize: 8
Bias2, bias applied at the first layer of the MWR neural network, for the atmospheric attenuation in Ku-Band
31mean_atmo_att_s_band
binary doublesize: 8
Mean value for the atmospheric attenuation in S band

unit: "dB"
32stddev_atmo_att_s_band
binary doublesize: 8
Standard deviation value for the atmospheric attenuation in S band

unit: "dB"
33w1_sigma0_weights_atmo_att_s_band
binary array[8]size: 64
binary doublesize: 8
W1_sigma0 weights applied to sigma0_Ku at the first layer of the MWR neural network for the atmospheric attenuation in S-band
34w1_tb23_weights_atmo_att_s_band
binary array[8]size: 64
binary doublesize: 8
W1_TB23 weights applied to TB23 at the first layer of the MWR neural network for the atmospheric attenuation in S-band
35w1_tb36_weights_atmo_att_s_band
binary array[8]size: 64
binary doublesize: 8
W1_TB36 weights applied to TB36 at the first layer of the MWR neural network for the atmospheric attenuation in S-band
36w2_weights_atmo_att_s_band
binary array[8]size: 64
binary doublesize: 8
W2, weights applied at the second layer of the MWR neural network, for the atmospheric attenuation in S- Band
37bias1_atmo_att_s_band
binary array[8]size: 64
binary doublesize: 8
Bias1, bias applied at the first layer of the MWR neural network, for the atmospheric attenuation in S- Band
38bias2_atmo_att_s_band
binary doublesize: 8
Bias2, bias applied at the first layer of the MWR neural network, for the atmospheric attenuation in S- Band
39mean_wet_tropospheric_correction
binary doublesize: 8
Mean value for the wet tropospheric correction

unit: "cm"
40stddev_wet_tropospheric_correction
binary doublesize: 8
Standard deviation for the wet tropospheric correction

unit: "cm"
41w1_sigma0_weights_wet_tropo_corr
binary array[8]size: 64
binary doublesize: 8
W1_sigma0 weights applied to sigma0_Ku at the first layer of the MWR neural network for the wet tropospheric correction
42w1_tb23_weights_wet_tropo_corr
binary array[8]size: 64
binary doublesize: 8
W1_TB23 weights applied to TB23 at the first layer of the MWR neural network for the wet tropospheric correction
43w1_tb36_weights_wet_tropo_corr
binary array[8]size: 64
binary doublesize: 8
W1_TB36 weights applied to TB36 at the first layer of the MWR neural network for the wet tropospheric correction
44w2_weights_wet_tropo_corr
binary array[8]size: 64
binary doublesize: 8
W2, weights applied at the second layer of the MWR neural network, for the wet tropospheric correction
45bias1_wet_tropo_corr
binary array[8]size: 64
binary doublesize: 8
Bias1, bias applied at the first layer of the MWR neural network, for the wet tropospheric correction
46bias2_wet_tropo_corr
binary doublesize: 8
Bias2, bias applied at the first layer of the MWR neural network, for the wet tropospheric correction
47mean_water_vapour_content
binary doublesize: 8
Mean value for the water vapour content

unit: "g/cm2"
48stddev_water_vapour_content
binary doublesize: 8
Standard deviation value for the water vapour content

unit: "g/cm2"
49w1_sigma0_weights_water_vapour_content
binary array[8]size: 64
binary doublesize: 8
W1_sigma0 weights applied to sigma0_Ku at the first layer of the MWR neural network for the water vapour content
50w1_tb23_weights_water_vapour_content
binary array[8]size: 64
binary doublesize: 8
W1_TB23 weights applied to TB23 at the first layer of the MWR neural network for the water vapour content
51w1_tb36_weights_water_vapour_content
binary array[8]size: 64
binary doublesize: 8
W1_TB36 weights applied to TB36 at the first layer of the MWR neural network for the water vapour content
52w2_weights_water_vapour_content
binary array[8]size: 64
binary doublesize: 8
W2, weights applied at the second layer of the MWR neural network, for the water vapour content
53bias1_water_vapour_content
binary array[8]size: 64
binary doublesize: 8
Bias1, bias applied at the first layer of the MWR neural network, for the water vapour content
54bias2_water_vapour_content
binary doublesize: 8
Bias2, bias applied at the first layer of the MWR neural network, for the water vapour content
55mean_liquid_water_content
binary doublesize: 8
Mean value for the liquid water content

unit: "mg/cm2"
56stddev_liquid_water_content
binary doublesize: 8
Standard deviation value for the liquid water content

unit: "mg/cm2"
57w1_sigma0_weights_liquid_water_content
binary array[8]size: 64
binary doublesize: 8
W1_sigma0 weights applied to sigma0_Ku at the first layer of the MWR neural network for the liquid water content
58w1_tb23_weights_liquid_water_content
binary array[8]size: 64
binary doublesize: 8
W1_TB23 weights applied to TB23 at the first layer of the MWR neural network for the liquid water content
59w1_tb36_weights_liquid_water_content
binary array[8]size: 64
binary doublesize: 8
W1_TB36 weights applied to TB36 at the first layer of the MWR neural network for the liquid water content
60w2_weights_liquid_water_content
binary array[8]size: 64
binary doublesize: 8
W2, weights applied at the second layer of the MWR neural network, for the liquid water content
61bias1_liquid_water_content
binary array[8]size: 64
binary doublesize: 8
Bias1, bias applied at the first layer of the MWR neural network, for the liquid water content
62bias2_liquid_water_content
binary doublesize: 8
Bias2, bias applied at the first layer of the MWR neural network, for the liquid water content
63slope_sigma0
binary doublesize: 8
Slope applied to sigma0_Ku inside the MWR neural network
64bias_sigma0
binary doublesize: 8
Bias applied to sigma0_Ku inside the MWR neural network
65slope_tb23
binary doublesize: 8
Slope applied to TB23 inside the MWR neural network
66bias_tb23
binary doublesize: 8
Bias applied to TB23 inside the MWR neural network
67slope_tb36
binary doublesize: 8
Slope applied to TB36 inside the MWR neural network
68bias_tb36
binary doublesize: 8
Bias applied to TB36 inside the MWR neural network
69delta_offset_to_sigma0_s_band
binary doublesize: 8
Delta offset to be applied to sigma 0 in S-Band

unit: "dB"
70spare
binary array[32]size: 32
Spare
binary uint8size: 1

hidden: true
12node_a35
binary recordsize: 228
idfield namedefinition
0coeff_for_inv_barom_height_calc
binary doublesize: 8
Coef. for inverted barometer height calculation

unit: "mm/hPa"
1gravity_at_mss_and_45_lat
binary doublesize: 8
Gravity at mean sea level and 45° latitude

unit: "m/s2"
2tetens_coeff_for_sat_water_vapour_wrt_ice
binary array[3]size: 24
binary doublesize: 8
Coefficients of Tetens formula for saturation water vapour with respect to ice
3tetens_coeff_for_sat_water_vapour_wrt_liquid_water
binary array[3]size: 24
binary doublesize: 8
Coefficients of Tetens formula for saturation water vapour with respect to liquid water
4molar_mass_dry_air
binary doublesize: 8
Molar mass of dry air

unit: "kg"
5molar_mass_water_vapour
binary doublesize: 8
Molar mass of water vapour

unit: "kg"
6mean_vert_grad_temperature
binary doublesize: 8
Mean vertical gradient of temperature

unit: "K/m"
7pressure_21_standard_vert_levels_ecmwf
binary array[21]size: 84
binary int32size: 4
Pressure corresponding to the 21 standard vertical levels of the ECMWF model

unit: "hPa"
8universal_gas_constant
binary doublesize: 8
Universal gas constant

unit: "J/mole.K"
9mult_constant_for_wet_tropo_corr
binary doublesize: 8
Multiplicative constant for wet tropospheric correction
10spare
binary array[40]size: 40
Spare
binary uint8size: 1

hidden: true
13node_a41
binary recordsize: 48
idfield namedefinition
0num_avg_waveforms_ku_band
binary int32size: 4
Number of averaged waveforms in Ku band
1min_acceptable_perc_of_ra2_proc_error_free_dsr
binary uint16size: 2
Minimum acceptable percentage of RA2 processing error free DSR

unit: "1e-2 %"
2min_acceptable_perc_of_mwr_proc_error_free_dsr
binary uint16size: 2
Minimum acceptable percentage of MWR processing error free DSR

unit: "1e-2 %"
3threshold_for_s_band_flag_anomaly
binary int32size: 4
Threshold for S-Band flag anomaly
4spare
binary array[36]size: 36
Spare
binary uint8size: 1

hidden: true

detection rule

This product definition is applicable if a product matches the following rule:

bytes(/,0,8) == "PRODUCT=" and
bytes(/,9,10) == "RA2_SOI_AX" and
bytes(/,95,21) == "PO-RS-MDA-GS-2009_3/O"