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

Data sets

TRMM (TMPA-RT) Near Real-Time Precipitation L3 3 hour 0.25 degree x 0.25 degree V7 G. Huffman https://disc.gsfc.nasa.gov/datacollection/TRMM_3B42RT_7.html

FNL data NCEP (National Centers for Environmental Prediction) https://doi.org/10.5065/D6M043C6

Chawla_2018_HESS_Data I. Chawla https://github.com/ilachawla/Chawla_2018_HESS_Data

A description of the advanced research WRF version 2 W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers http://www2.mmm.ucar.edu/wrf/users/downloads.html

Download
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.