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Volume 17, issue 4 | Copyright
Nat. Hazards Earth Syst. Sci., 17, 563-579, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Apr 2017

Research article | 13 Apr 2017

Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble

Jiyang Tian et al.
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Cited articles
Aligo, E. A., Gallus, W. A., and Segal, M.: On the impact of WRF model vertical grid resolution on Midwest summer rainfall forecasts, Weather Forecast., 24, 575–594,, 2009.
Argüeso, D., Hidalgomuñoz, J. M., Gámizfortis, S. R., Estebanparra, M. J., Dudhia, J., and Castrodiez, Y.: Evaluation of WRF parameterizations for climate studies over Southern Spain using a multistep regionalization, J. Climate, 24, 5633–5651,, 2011.
Bruno, F., Cocchi, D., Greco, F., and Scardovi, E.: Spatial reconstruction of rainfall fields from rain gauge and radar data, Stoch. Environ. Res. Risk Assess., 28, 1235–1245,, 2014.
Bureau of Water Resources Survey of Hebei: Observed rainfall data from rain gauges, available at:, 2006–2015.
Cane, D., Ghigo, S., Rabuffetti, D., and Milelli, M.: Real-time flood forecasting coupling different postprocessing techniques of precipitation forecast ensembles with a distributed hydrological model. The case study of may 2008 flood in western Piemonte, Italy, Nat. Hazards Earth Syst. Sci., 13, 211–220,, 2013.
Publications Copernicus
Short summary
Accurately simulating and predicting the precipitation by numerical weather prediction is a difficult task for medium-sized catchments in semi-humid regions. This study shows that using multiphysics ensembles is a good method to reduce the uncertainties of rainfall simulation. This paper provides more guidance for choosing the physical parameterizations for accurate rainfall simulations of different storm types in semi-humid regions.
Accurately simulating and predicting the precipitation by numerical weather prediction is a...