2019
DOI: 10.1007/s00382-019-04898-8
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Extreme rainfall in Mediterranean France during the fall: added value of the CNRM-AROME Convection-Permitting Regional Climate Model

Abstract: 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-climate at a horizontal resolution of 12.5 km, self-driven by the era-interim reanalysis. An hourly observation dataset with a resolution of 1 km, comephore, is used in o… Show more

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Cited by 76 publications
(88 citation statements)
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References 67 publications
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“…Kotlarski et al, 2014;Prein et al, 2016;Glisan et al, 2019), as well as their projected climate change signals over different parts of the globe (e.g. Gao et al, 2008;Jacob et al, 2014;Rajczak and Schär, 2017). Overall, CORDEX RCMs have been shown to improve the representation of mean climate compared to their driving GCMs, particularly evident over complex terrain associated with their higher resolution (Torma et al, 2015;Giorgi et al, 2016;Sørland et al, 2018).…”
Section: Cordex Rcmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Kotlarski et al, 2014;Prein et al, 2016;Glisan et al, 2019), as well as their projected climate change signals over different parts of the globe (e.g. Gao et al, 2008;Jacob et al, 2014;Rajczak and Schär, 2017). Overall, CORDEX RCMs have been shown to improve the representation of mean climate compared to their driving GCMs, particularly evident over complex terrain associated with their higher resolution (Torma et al, 2015;Giorgi et al, 2016;Sørland et al, 2018).…”
Section: Cordex Rcmsmentioning
confidence: 99%
“…Over the Mediterranean coasts in autumn, all three ensembles underestimate precipitation over southeastern France and the southern Alps. Berthou et al (2020) and Fumière et al (2020) showed that convection-permitting models are best to capture heavy-precipitation events in these regions in autumn, which mostly contribute to mean precipitation. Note the sharp gradient in Italy between a large mean dry bias in the north and a large mean wet bias in the south.…”
Section: Mean Differences Between Euro-cordex Andmentioning
confidence: 99%
“…The Météo-France COMEPHORE ("COmbinaison en vue de la Meilleure Estimation de la Precipitation HOraiRE") product is used to allow a fairer intercomparison between models and observations than the single rain gauge (Chen and Knutson, 2008): it is an hourly reanalysis of precipitation by merging radar data and rain gauges over France at 1 km × 1 km resolution (more details in Fumière et al, 2019; see also Laurantin et al, 2012). From this product, we can have a better knowledge of the average precipitation rate over a model grid of 50 km×50 km or higher resolution.…”
Section: Observations At Sirtamentioning
confidence: 99%
“…Even if CNRM-B0 better compares to observations up to 60 mm/ day, both models strongly underestimate the upper tail of the precipitation distribution. This was expected since cloud-resolving regional climate models are required to adequately represent extreme Mediterranean precipitation (Fumière et al 2019). The framework of this study is thus not the best suited to evaluate impact of soil moisture on precipitation extremes.…”
Section: Extreme Precipitation Biasmentioning
confidence: 98%