Study of uncertainty of satellite and reanalysis precipitation products and their impact on hydrological simulation

• Published in: Environmental science and pollution research international Vol. 28; no. 43; pp. 60935 - 60953
• Main Authors: Miao, Yuexi, Liu, Ruimin, Wang, Qingrui, Jiao, Lijun, Wang, Yifan, Li, Lin, Cao, Leiping
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2021; Springer Nature B.V
• Subjects: Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; China; Climate; Climate prediction; Climate system; Correlation coefficient; Correlation coefficients; Dry season; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental science; Errors; Hydrology; Interpolation; Meteorology; pollution; Precipitation; Rain; Rain gauges; Rainfall; Rainy season; Research Article; rivers; satellites; Simulation; Stream discharge; Stream flow; TRMM satellite; Uncertainty; Waste Water Technology; Water Management; Water pollution; Water Pollution Control; watersheds; wet season; China; SWAT model; Hydrological evaluation; Satellite and reanalysis precipitation; Non-point source pollution; Water environmental capacity
• DOI: 10.1007/s11356-021-14847-w
• ISSN: 0944-1344; 1614-7499

Satellite and reanalysis precipitation products are potential alternatives in hydrological studies, and it is very important to evaluate their accuracy and potential use for reliable simulations. In this study, three precipitation products (Tropical Rainfall Measuring Mission 3B43 Version 7 (TRMM 3B43), spatial interpolation grid data based on 2472 national meteorological observation stations in China (GRID_0.5), and National Centers for Environmental Prediction-Climate Forecast System Reanalysis (NCEP-CFSR)) were evaluated against gauge observations in the Xiangxi River watershed of Hubei Province. The performance results indicated that the results of the three precipitation products were correlated with those of the rain gauges; however, there were differences among the three products. TRMM 3B43 tended to overestimate precipitation with the highest correlation coefficient, while NCEP-CFSR tended to underestimate precipitation with the least satisfactory performance, and the performance of GRID_0.5 ranked between them. However, the annual and monthly mean errors differed, as the errors of most of the results driven by NCEP-CFSR were lowest. The errors varied at different time scales. During years with high precipitation, the results were often underestimated, while the results are often overestimated during years with low precipitation. According to the average monthly results, the GRID_0.5 results were closest to the gauge observations for most months. During the wet season, TRMM 3B43 performed better, while NCEP-CFSR precipitation performed better during the dry season. The errors from precipitation to streamflow, NPS pollution, and water environmental capacity (WEC) driven by the three precipitation products increased gradually, ranging from 10% for precipitation to over 20% for NPS pollution and almost 100% for WEC. The error increase for NCEP-CFSR was lower than that of the other two products. Although the simulation error from precipitation to the WEC results driven by the three precipitation products gradually increased, the degree of overestimation and underestimation became smaller.