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www.hydrol-earth-syst-sci.net/13/1897/2009/
doi:10.5194/hess-13-1897-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
A snowmelt runoff forecasting model coupling WRF and DHSVM
1The States Key Laboratory of Cryospheric Sciences, Cold & Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China
2College of Resources and Environment Science, Xinjiang University, Urumqi, China
3Oasis Ecology Key laboratory of Xinjiang Uygur Autonomous region, Xinjiang University, Urumqi, China
4International Centers for Desert Affairs-Research on Sustainable Development in Arid and Semi-arid Lands, Urumqi, China
Abstract. This study linked the Weather Research and Forecasting (WRF) modelling system and the Distributed Hydrology Soil Vegetation Model (DHSVM) to forecast snowmelt runoff. The study area was the 800 km2 Juntanghu watershed of the northern slopes of Tianshan Mountain Range. This paper investigated snowmelt runoff forecasting models suitable for meso-microscale application. In this study, a limited-region 24-h Numeric Weather Forecasting System was formulated using the new generation atmospheric model system WRF with the initial fields and lateral boundaries forced by Chinese T213L31 model. Using the WRF forecasts, the DHSVM hydrological model was used to predict 24 h snowmelt runoff at the outlet of the Juntanghu watershed. Forecasted results showed a good similarity to the observed data, and the average relative error of maximum runoff simulation was less than 15%. The results demonstrate the potential of using a meso-microscale snowmelt runoff forecasting model for forecasting floods. The model provides a longer forecast period compared with traditional models such as those based on rain gauges or statistical forecasting.
Final Revised Paper (PDF, 2272 KB) Discussion Paper (HESSD)
Citation: Zhao, Q., Liu, Z., Ye, B., Qin, Y., Wei, Z., and Fang, S.: A snowmelt runoff forecasting model coupling WRF and DHSVM, Hydrol. Earth Syst. Sci., 13, 1897-1906, doi:10.5194/hess-13-1897-2009, 2009. Bibtex EndNote Reference Manager XML
