Articles | Volume 22, issue 6
https://doi.org/10.5194/acp-22-3811-2022
https://doi.org/10.5194/acp-22-3811-2022
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

Novel assessment of numerical forecasting model relative humidity with satellite probabilistic estimates

Chloé Radice, Hélène Brogniez, Pierre-Emmanuel Kirstetter, and Philippe Chambon

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Short summary
A novel probabilistic approach is proposed to evaluate relative humidity (RH) profiles simulated by an atmospheric model with respect to satellite-based RH defined from probability distributions. It improves upon deterministic comparisons by enhancing the information content to enable a finer assessment of each model–observation discrepancy, highlighting significant departures within a deterministic confidence range. Geographical and vertical distributions of the model biases are discussed.
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