Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3629-2019
https://doi.org/10.5194/amt-12-3629-2019
Research article
 | 
04 Jul 2019
Research article |  | 04 Jul 2019

Correlated observation error models for assimilating all-sky infrared radiances

Alan J. Geer

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Latest update: 25 Feb 2024
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Short summary
Using more satellite data in cloudy areas helps improve weather forecasts, but all-sky assimilation is still tricky, particularly for infrared data. To allow the use of hyperspectral infrared sounder radiances in all-sky conditions, an error model is developed that, in the presence of cloud, broadens the correlations between channels and increases error variances. After fixing problems of gravity wave and bias amplification, the results of all-sky assimilation trials were promising.