Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1095-2018
https://doi.org/10.5194/hess-22-1095-2018
Cutting-edge case studies
 | 
08 Feb 2018
Cutting-edge case studies |  | 08 Feb 2018

Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

Ila Chawla, Krishna K. Osuri, Pradeep P. Mujumdar, and Dev Niyogi

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Cited articles

Argüeso, D., Hidalgo-Muñoz, J. M., Gámiz-Fortis, S. R., Esteban-Parra, M. J., Dudhia, J., and Castro-Díez, Y.: Evaluation of WRF parameterizations for climate studies over Southern Spain using a multistep regionalization, J. Climate, 24, 5633–5651, 2011.
Betts, A. K., Ball, J. H., Beljaars, A., Miller, M. J., and Viterbo, P. A.: The land surface-atmosphere interaction: A review based on observational and global modeling perspectives, J. Geophys. Res.-Atmos., 101, 7209–7225, 1996.
Betts, A. K., Chen, F., Mitchell, K. E., and Janjić, Z. I.: Assessment of the land surface and boundary layer models in two operational versions of the NCEP Eta model using FIFE data, Mon. Weather Rev., 125, 2896–2916, 1997.
Bharti, V., Singh, C., Ettema, J., and Turkington, T.: Spatiotemporal characteristics of extreme rainfall events over the Northwest Himalaya using satellite data, Int. J. Climatol., 36, 3949–3962, 2016.
Bohra, A., Basu, S., Rajagopal, E., Iyengar, G., Gupta, M. D., Ashrit, R., and Athiyaman, B.: Heavy rainfall episode over Mumbai on 26 July 2005: Assessment of NWP guidance, Curr. Sci., 90, 1188–1194, 2006.
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Short summary
For realistic flood predictions, it is necessary to have accurate rainfall estimates. The Weather Research and Forecasting (WRF) model is often used to correctly simulate heavy rainfall events, but setting up the model over a region is a challenging task. In this study, the sensitivity of the WRF model is assessed for physics schemes, parameterization options, land surface models and downscaling ratios, by simulating several extreme rainfall events in the Ganges basin.