Abstract
Sensitivity analysis for water vapor profile estimation with Infrared: IR sounder data based on inversion is carried out. Through simulation study, it is found that influence due to ground surface relative humidity estimation error is greater than that of sea surface temperature estimation error on the water vapor vertical profile retrievals.
Highlights
Air-temperature and water vapor profiles are used to be estimated with Infrared Sounder data [1]
Assuming MODTRAN is truth, water vapor profile retrieval error is evaluated by which some errors are added to surface air temperature and relative humidity
It is reasonable that relative humidity is closely linked to water vapor profile rather than surface air temperature
Summary
Air-temperature and water vapor profiles are used to be estimated with Infrared Sounder data [1]. In order to estimate air-temperature and water vapor, least square based method is typically used. The proposed method is based on Levenberg Marquardt: LM of non-linear least square method3 It uses numerically calculated first and second order derivatives instead of analytical based derivatives. The proposed method is validated for air-temperature and water vapor profile retrievals with Infrared: IR sounder data derived from AQUA/AIRS [2]-[7]. Atmospheric sounding can be improved by using the high spectral resolution of sounder, such as AIRS, IASI, instead of HIRS, TOVS used in the past three and half decades[10]-[13] Their sensors have large number of channels, and have large amount of atmospheric sounding information in the measurement data.
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