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Are dependencies of extreme rainfall on humidity more reliable in convection-permitting climate models?

Lookup NU author(s): Professor Hayley Fowler

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 Geert Lenderink et al.Convection-permitting climate models (CPMs) are becoming increasingly used in climate change studies. These models show greatly improved convective rainfall statistics compared to parameterized-convection regional climate models (RCMs), but are they also more reliable in a climate change setting? Increases in rainfall extremes are generally considered to be caused by increases in absolute humidity, primarily following from the Clausius-Clapeyron relation, while the influence of relative humidity changes is uncertain and not systematically explored. Quantifying these humidity dependencies in the present-day climate may help the interpretation of future changes, which are driven by increases in absolute humidity but also decreases in relative humidity in most continental areas in summer. Here, we systematically analyse hourly rainfall extremes and their dependencies on 2 m dew point temperature (absolute humidity) and dew point depression (relative humidity) in seven RCM and five CPM simulations for the present-day climate. We compare these to observations from the Netherlands (a moderate moist climate) and southern France (a warmer and drier climate). We find that the RCMs display a large spread in outcomes, in particular in their relative humidity dependence, with a strong suppression of hourly rainfall extremes in low relative humidity conditions. CPMs produce better overall rainfall statistics, show less inter-model spread, and have absolute and relative humidity dependencies more consistent with the observations. In summary, our results provide evidence that future changes in convective rainfall extremes in CPMs are more reliable compared to RCMs, whereas the discussed dependencies also provide a metric to evaluate and further improve model performance as well as improving convection schemes.


Publication metadata

Author(s): Lenderink G, Ban N, Brisson E, Berthou S, Cortes-Hernandez VE, Kendon E, Fowler HJ, De Vries H

Publication type: Article

Publication status: Published

Journal: Hydrology and Earth System Sciences

Year: 2025

Volume: 29

Issue: 4

Pages: 1201-1220

Online publication date: 03/03/2025

Acceptance date: 06/01/2025

Date deposited: 17/03/2025

ISSN (print): 1027-5606

ISSN (electronic): 1607-7938

Publisher: Copernicus Publications

URL: https://doi.org/10.5194/hess-29-1201-2025

DOI: 10.5194/hess-29-1201-2025

Data Access Statement: Code availability. The analysis has been done using R with the code available at https://doi.org/10.5281/zenodo.14893595 (Lenderink, 2025). Data availability. For France only, the post-processed statistics used in this paper are available at https://doi.org/10.5281/zenodo. 11066905 (Lenderink, 2024). For the raw station data, please contact Météo-France.


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Funding

Funder referenceFunder name
Copernicus Climate Change Service
European Union’s Horizon 2020 Research and Innovation programme under grant agreement no. 776613
NE/R01079X/1Natural Environment Research Council (NERC)
NE/Y006496/1

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