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An objective approach to modelling biases in satellite radiances: application to AIRS and AMSU‐A
Author(s) -
Auligné T.
Publication year - 2007
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.145
Subject(s) - advanced microwave sounding unit , parametric statistics , satellite , relevance (law) , environmental science , data assimilation , computer science , numerical weather prediction , radiative transfer , meteorology , remote sensing , set (abstract data type) , statistics , mathematics , aerospace engineering , geology , physics , engineering , optics , political science , law , programming language
Bias correction is a practical necessity for the assimilation of satellite radiances in numerical weather‐prediction systems. However, the parametric form used to represent the observation bias often relies on predictors that are chosen subjectively. This paper proposes two diagnostics to assess the relevance of every predictor, derived from comparison of two approaches to estimating corrections based on the same parametric form. These diagnostics are applied to AIRS and AMSU‐A, and the predictors used in the ECMWF operational bias correction are studied. The relevance of a correction to the radiative‐transfer‐model absorption coefficient is also investigated. Finally, a method to objectively construct the bias parametric form, starting from a large set of potential predictors, is proposed Copyright © 2007 Royal Meteorological Society