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South-East France is a region often affected by heavy precipitating events the characteristics of which are likely to be significantly impacted in the future climate. In this study, cnrm-arome , a Convection-Permitting Regional Climate Model with a 2.5 km horizontal resolution is compared to its forcing model, the Regional Climate Model aladin-c limate at a horizontal resolution of 12.5 km, self-driven by the era-i nterim reanalysis. An hourly observation dataset with a resolution of 1 km, comephore , is used in order to assess simulated surface precipitation from a seasonal to hourly scale. The representation of the spatial pattern of fall precipitation climatology is improved by cnrm-arome . It also shows a clear added value with respect to aladin-c limate through the improvement of the localization and intensity of extreme rainfall on a daily and hourly time scale on both fine and coarse spatial scales (2.5, 12.5 and 50 km). cnrm-arome in particular is able to simulate intense rainfall on lowlands and makes sub-daily rainfall events more intense than aladin-c limate. cnrm-arome still underestimates very extreme precipitation from above 30 mm/h or 230 mm/day.
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Fumière et al. (2019) studied this question.
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