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An objective approach to modelling biases in satellite radiances: application to AIRS and AMSU-A

✍ Scribed by T. Auligné

Book ID
104564865
Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
850 KB
Volume
133
Category
Article
ISSN
0035-9009

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✦ Synopsis

Abstract

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

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