Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-563-2017
https://doi.org/10.5194/nhess-17-563-2017
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, Jia Liu, Denghua Yan, Chuanzhe Li, and Fuliang Yu

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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, https://doi.org/10.1175/2008WAF2007101.1, 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, https://doi.org/10.1175/JCLI-D-11-00073.1, 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, https://doi.org/10.1007/s00477-013-0812-0, 2014.
Bureau of Water Resources Survey of Hebei: Observed rainfall data from rain gauges, available at: http://www.hbsw.net/, 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, https://doi.org/10.5194/nhess-13-211-2013, 2013.
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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.
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