A snowmelt runoff forecasting model coupling WRF and DHSVM
Hydrology and Earth System Sciences
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 km 2 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
... on 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. Atmospheric models have previously been used to force hydrological models for short-term flood prediction. For example, Miller and Kim (1996) coupled the Mesoscale Atmospheric Simulation model with the distributed hydrological model "TOPMODEL" to simulate a 1995 flooding event on the flood-prone Russian River of northern Published by Copernicus Publications on behalf of the European Geosciences Union.