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Hydrol. Earth Syst. Sci., 7, 799-811, 2003
www.hydrol-earth-syst-sci.net/7/799/2003/
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Intercomparison of mesoscale meteorological models for precipitation forecasting

E. Richard1, S. Cosma1, R. Benoit2, P. Binder3, A. Buzzi4, and P. Kaufmann3
1Laboratoire de Aérologie, CNRS/UPS, 14 Avenue E. Berlin, F-31400 Toulouse, France
2Recherche en Prévision Numérique, 2121 TransCanada Highway, Dorval, QC, Canada H9P 1J3
3MeteoSwiss, P.O. Box 514, CH-8044 Zürich, Switzerland
4Istituto di Scienze dell' Atmosfera e del Clima, CNR, Via Gobetti 101, I-40129 Bologna, Italy
E-mail for corresponding author: rice@aerob.obs-mip.fr

Abstract. In the framework of the RAPHAEL EU project, a series of past heavy precipitation events has been simulated with different meteorological models. Rainfall hindcasts and forecasts have been produced by four models in use at various meteorological services or research centres of Italy, Canada, France and Switzerland. The paper is focused on the comparison of the computed precipitation fields with the available surface observations. The comparison is carried out for three meteorological situations which lead to severe flashflood over the Toce-Ticino catchment in Italy (6599 km2) or the Ammer catchment (709 km2) in Germany. The results show that all four models reproduced the occurrence of these heavy precipitation events. The accuracy of the computed precipitation appears to be more case-dependent than model-dependent. The sensitivity of the computed rainfall to the boundary conditions (hindcast v. forecast) was found to be rather weak, indicating that a flood forecasting system based upon a numerical meteo-hydrological simulation could be feasible in an operational context.

Keywords: meteorological models, precipitation forecast

Final Revised Paper (PDF, 825 KB)

Citation: Richard, E., Cosma, S., Benoit, R., Binder, P., Buzzi, A., and Kaufmann, P.: Intercomparison of mesoscale meteorological models for precipitation forecasting, Hydrol. Earth Syst. Sci., 7, 799-811, 2003.   Bibtex   EndNote   Reference Manager