WRF QPF evaluation and its coupling with distributed hydrological model for flood forecasting: a case study in Liujiang River

Abstract:

Long lead time quantitative precipitation forecasting that could be used for river basin flood forecasting has long been the goal of the world hydrological community, the Weather Research and Forecasting (WRF) Model makes this possible, but with its high uncertainty, its real time application is still in the study stage. In this study, the WRF model is first configured in the Liujiang river basin in Southern China, and the results are compared with the observed ground precipitation, and corrected with the ground precipitation. Then it is coupled with a distributed hydrological model, the Liuxihe model, to make flood forecasting. Two flood events in 2008 and 2009 is studied. The studied results show that the WRF QPF is bigger than that observed by ground rain gauges. The simulated flood event has been improved by corrected WRF results.