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.
Highlights
Precipitation is one of the major factors affecting the global water cycle and water balance
Increasing numbers of researchers turn their attention to the fusion verification based on distributed hydrological models, analyse the hydrological prediction errors caused by satellite precipitation products and test the substitutability of satellite precipitation products to the ground station precipitation in hydrological simulation [10,11,12]
IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) precipitation data include IMERG-F, a non-real-time precipitation product calibrated by GPCC ground precipitation station, IMERG-E and IMERG-L, quasi-real-time precipitation product [18]
Summary
Precipitation is one of the major factors affecting the global water cycle and water balance. IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) precipitation data include IMERG-F, a non-real-time precipitation product calibrated by GPCC ground precipitation station, IMERG-E and IMERG-L, quasi-real-time precipitation product [18] The emergence of these precipitation fusion products provides more basic hydrological and meteorological data for the study of basin water resources. CMADS has received domestic and worldwide attention in the past few years because it is high-resolution and high-quality meteorological data Research shows that it has shown a good application effect in the basin and region hydrology simulation [33,34,35,36].
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