Articles | Volume 27, issue 5
Research article
15 Mar 2023
Research article |  | 15 Mar 2023

How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?

Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga

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Cited articles

Adinolfi, M., Raffa, M., Reder, A., and Mercogliano, P.: Evaluation and Expected Changes of Summer Precipitation at Convection Permitting Scale with COSMO-CLM over Alpine Space, Atmosphere,, 12, 54,, 2020. 
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Amponsah, W., Dallan, E., Nikolopoulos, E. I., and Marra, F.: Climatic and topographic controls on rainfall extremes and their temporal changes in data-sparse tropical regions, J. Hydrol., 612, 128090,, 2022. 
Arakawa, A. and Lamb, V.: Computational design of the basic dynamical processes in the UCLA general circulation model, in: Methods in computational physics: general circulation mod- els of the atmosphere, vol. 17, edited by: Chang, J., Academic Press, New York, 173–265,, 1970. 
Avanzi, F., De Michele, C., Gabriele, S., Ghezzi, A., and Rosso, R.: Orographic signature on extreme precipitation of short durations, J. Hydrometeorol., 16, 278–294, 2015. 
Short summary
Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.