SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Evaluation and analysis of grid precipitation fusion products in Jinsha River Basin based on China meteorological assimilation datasets for the SWAT Model 
Authors:Guo, D., H. Wang, X. Zhang and G. Liu 
Year:2019 
Journal:Water 
Volume (Issue):11 
Pages: 
Article ID:253 
DOI:10.3390/w11020253 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:340,000 km^2 Jinsha River, which drains the upper reaches of the Yangtze River and drains portions of the Provinces of Tibet, Qinghai, Sichuan and Yunnan in southwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Highly accurate and high-quality precipitation products that can act as substitutes for ground precipitation observations have important significance for research development in the meteorology and hydrology of river basins. In this paper, statistical analysis methods were employed to quantitatively assess the usage accuracy of three precipitation products, China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS), next-generation Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) and Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), for the Jinsha River Basin, a region characterized by a large spatial scale and complex terrain. The results of statistical analysis show that the three kinds of data have relatively high accuracy on the average grid scale and the correlation coefficients are all greater than 0.8 (CMADS:0.86, IMERG:0.88 and TMPA:0.81). The performance in the average grid scale is superior than that in grid scale. (CMADS: 0.86(basin), 0.6 (grid); IMERG:0.88 (basin),0.71(grid); TMPA:0.81(basin),0.42(grid)). According to the results of hydrological applicability analysis based on SWAT model, the three kinds of data fail to obtain higher accuracy on hydrological simulation. CMADS performs best (NSE:0.55), followed by TMPA (NSE:0.50) and IMERG (NSE:0.45) in the last. On the whole, the three types of satellite precipitation data have high accuracy on statistical analysis and average accuracy on hydrological simulation in the Jinsha River Basin, which have certain hydrological application potential. 
Language:English 
Keywords:CMADS, IMERG, statistical analysis, SWAT hydrological simulation, Jinsha River Basin