Product Documentation

Product definition document:

PDD_SAPHIR-L2-RH_V1_R5.pdf (updated in January 2017)

Version history:

Version 1.00: Released July 2015. Original version
Version 2.00: Released November 2015. Modification of format, minor correction in algorithm over land.
Version 3.00: Released March 2017. Compared to the RH estimation scheme used in Version 2.00 which relied on Normal distributions, Version 3.00 product relies on a Beta distribution as its compact support and allowance for asymmetries about the mean are more favorable for describing the relative humidity. The estimation of parameters also provides a characterization of the retrieval uncertainty of RH for every observing pixel of SAPHIR
Version 3.01: Released July 2018. In this new version, the quality flags have been re-defined in order to take into account situations where the RH values result from an extrapolation of the retrieval model, and thus can be reasonably questioned. The valid range is considered to be 25% below/above the training range of the model. Those extrapolated data are now considered as missing, and a new quality flag is introduced

File description: MT1_L2-RH-SAPSL1A2-1.07_2017-03-01T12-24-41_V3-00.hdf


Data_Fields/Quality_Index dataset attributes

Dataset attribute DataType Dimensions Value
long_name string 1 Quality_Index
units string 1 None
format string 1 32-bit integer
HDF_Calibration_Equation string 1 physical_value = scale_factor*(SDS_count - add_offset)
Missing_Output int32 1 -999
QA_SDS string 1 None
actual_range int32 2 [0, 9586992]
Num_Fill int32 1 0
Num_Missing_Output int32 1 0
Num_Valid int32 1 539500
Comments string 1 The Quality_Index is a 32 bits word where each bit as a significant value: 0) Coastal Profile (no guarantee in restitution); 1: Rainy pixel; 2-5): Rainy pixel details; 6) Empty; 7-24): 6 groupsof 3 bits (one for each layer) related to 1: Very high relative humidity (over 97%); 2: Extrapolation outside the learning range; 3: Cloudy Layer; 25-31): L1 Quality Flags (Currently 0).
_FillValue int32 1 2147483647
scale_factor float64 1 1.0
scale_factor_err float64 1 0.0
add_offset float64 1 0.0
add_offset_err float64 1 0.0
calibrated_nt int32 1 24
 

 

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