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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Cited articles

Aires, F., Rossow, W. B., Scott, N. A., and Chedin, A.: Remote sensing from the infrared atmospheric sounding interferometer instrument, 2, Simultaneous retrieval of temperature, water vapor, and ozone atmospheric profiles, J. Geophys. Res., 107, 4620, https://doi.org/10.1029/2001JD001591, 2002. 
Allan, R. P.: The Role of Water Vapour in Earth's Energy Flows, Surv. Geophys., 33, 557–564, https://doi.org/10.1007/s10712-011-9157-8, 2012. 
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. 
Bony, S., Stevens, B., Frierson, D. M. W., Jakob, C., Kageyama, M., Pincus, R., Shepherd, T. G., Sherwood, S. C., Siebesma, A. P., Sobel, A. H., Watanabe, M., and Webb, M. J.: Clouds, circulation and climate sensitivity, Nat. Geosci., 8, 261–268, https://doi.org/10.1038/ngeo2398, 2015. 
Bouyssel, F., Bazile, E., Piriou, J.-M., Janisková, M., and Bouteloup, Y.: L'évolution opérationnelle du modèle Arpège et de ses paramétrisations physiques, La Météorologie, 112, 47–54, 2021. 
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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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