title: Evaluation of gridded precipitation data for driving SWAT model in area upstream of Three Gorges Reservoir.
abstract: Gridded precipitation data are becoming an important source for driving hydrologic models to achieve stable and valid simulation results in different regions. Thus, evaluating different sources of precipitation data is important for improving the applicability of gridded data. In this study, we used three gridded rainfall datasets: 1) National Centers for Environmental Prediction-Climate Forecast System Reanalysis (NCEP-CFSR); 2) Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE); and 3) China trend-surface reanalysis (trend surface) data. These are compared with monitoring precipitation data for driving the Soil and Water Assessment Tool in two basins upstream of Three Gorges Reservoir (TGR) in China. The results of one test basin with significant topographic influence indicates that all the gridded data have poor abilities in reproducing hydrologic processes with the topographic influence on precipitation quantity and distribution. However, in a relatively flat test basin, the APHRODITE and trend surface data can give stable and desirable results. The results of this study suggest that precipitation data for future applications should be considered comprehensively in the TGR area, including the influence of data density and topography.
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China; United Graduate School of Agricultural Science, Gifu University, 1-1 Yanagido, Gifu, 501-1193, Japan.
authors.forename: Yan
authors.initials: Y
authors.lastname: Yang
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Guoqiang
authors.initials: G
authors.lastname: Wang
authors.affiliation: State Environmental Protection Key Laboratory of Drinking Water Source Protection, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Lijing
authors.initials: L
authors.lastname: Wang
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Jingshan
authors.initials: J
authors.lastname: Yu
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Zongxue
authors.initials: Z
authors.lastname: Xu
mesh_terms: D002681:China; D062070:Hydrology; D015233:Models, Statistical; D011891:Rain; D045483:Rivers; D012987:Soil / Q000737:chemistry; D035501:Uncertainty
chemical_list: D012987:Soil