Evaluation and Analysis of Grid Precipitation Fusion Products in Jinsha River Basin Based on China Meteorological Assimilation Datasets for the SWAT Model

被引:12
作者
Guo, Dandan [1 ,2 ]
Wang, Hantao [3 ]
Zhang, Xiaoxiao [1 ]
Liu, Guodong [1 ]
机构
[1] Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China
[2] Xihua Univ, Sch Civil Engn Architecture & Environm, Chengdu 610039, Sichuan, Peoples R China
[3] Three Gorges Cascade Dispatching & Commun Ctr, Yichang 443133, Peoples R China
关键词
CMADS; IMERG; statistical analysis; SWAT hydrological simulation; Jinsha River Basin; DAY-1; IMERG; GPM IMERG; TMPA; RAINFALL; RUNOFF; TRMM; SNOWMELT; SOIL;
D O I
10.3390/w11020253
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:25
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