Articles | Volume 22, issue 6
Atmos. Chem. Phys., 22, 3811–3825, 2022

Special issue: Analysis of atmospheric water vapour observations and their...

Atmos. Chem. Phys., 22, 3811–3825, 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 et al.

Data sets

SAPHIR-L2-RH: Instantaneous non-precipitating conditions level 2 products Relative Humidity derived from SAPHIR, version 1 R. Sivira, H. Brogniez, C. Dufour, and S. Cloché

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.
Final-revised paper