Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1369-2020
https://doi.org/10.5194/nhess-20-1369-2020
Research article
 | 
20 May 2020
Research article |  | 20 May 2020

Systematic error analysis of heavy-precipitation-event prediction using a 30-year hindcast dataset

Matteo Ponzano, Bruno Joly, Laurent Descamps, and Philippe Arbogast

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Cited articles

AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E.: Evaluation of Satellite-Retrieved Extreme Precipitation Rates across the Central United States, J. Geophys. Res.-Atmos., 116, https://doi.org/10.1029/2010JD014741, 2011. a
Anagnostopoulou, C. and Tolika, K.: Extreme Precipitation in Europe: Statistical Threshold Selection Based on Climatological Criteria, Theor. Appl. Climatol., 107, 479–489, https://doi.org/10.1007/s00704-011-0487-8, 2012. a
Anderson, T. W. and Darling, D. A.: Asymptotic Theory of Certain “Goodness of Fit” Criteria Based on Stochastic Processes, Ann. Math. Stat., 23, 193–212, https://doi.org/10.1214/aoms/1177729437, 1952. a
Argence, S., Lambert, D., Richard, E., Chaboureau, J.-P., and Söhne, N.: Impact of Initial Condition Uncertainties on the Predictability of Heavy Rainfall in the Mediterranean: A Case Study, Q. J. Roy. Meteorol. Soc., 134, 1775–1788, https://doi.org/10.1002/qj.314, 2008. a
Bazile, E., Marquet, P., Bouteloup, Y., and Bouyssel, F.: The Turbulent Kinetic Energy (TKE) scheme in the NWP models at Meteo France, in: Workshop on Workshop on Diurnal cycles and the stable boundary layer, 7–10 November 2011, pp. 127–135, ECMWF, ECMWF, Shinfield Park, Reading, 2012. a
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We assess a methodology to evaluate and improve intense precipitation forecasting in the southeastern French region. This methodology is based on the use of a 30-year dataset of past forecasts which are analysed using a spatial verification approach. We found that precipitation forecasting is qualitatively driven by the deep-convection parametrization. Locally the model is able to reproduce the distribution of spatially integrated rainfall patterns of the most intense precipitation.
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