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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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to technical corrections (29 Dec 2017) by Ana Mijic
AR by Ila Chawla on behalf of the Authors (05 Jan 2018)  Author's response   Manuscript 
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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.