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Article

Comparison Study of Multiple Precipitation Forcing Data on Hydrological Modeling and Projection in the Qujiang River Basin

1
Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
2
College of Resources and Environmental Sciences, China Agricultural University, Beijing 100094, China
3
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
4
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(9), 2626; https://doi.org/10.3390/w12092626
Received: 21 August 2020 / Revised: 12 September 2020 / Accepted: 17 September 2020 / Published: 19 September 2020
As a key factor in the water cycle and climate change, the quality of precipitation data directly affects the hydrological processes of the river basin. Although many precipitation products with high spatial and temporal resolutions are now widely used, it is meaningful and necessary to investigate and evaluate their merits and demerits in hydrological applications. In this study, two satellite-based precipitation products (Tropical Rainfall Measurement Mission, TRMM; Integrated Multi-satellite Retrievals for GPM, IMERG) and one reanalysis precipitation product (China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model, CMADS) are studied to compare their streamflow simulation performance in the Qujiang River Basin, China, using the SWAT model with gauged rainfall data as a reference. The main conclusions are as follows: (1) CMADS has stronger precipitation detection capabilities compared to gauged rainfall, while TRMM results in the most obvious overestimation in the four sub-basins. (2) In daily and monthly streamflow simulations, CMADS + SWAT mode offers the best performance. CMADS and IMERG can provide high quality precipitation data for data-scarce areas, and IMERG can effectively avoid the overestimation of streamflow caused by TRMM, especially on a daily scale. (3) The runoff projections of the three modes under RCP (Representative Concentration Pathway) 4.5 was higher than that of RCP 8.5 on the whole. IMERG + SWAT overestimates the surface water resources of the basin compared to CMADS + SWAT, while TRMM + SWAT provides the most stable uncertainty. These findings contribute to the comparison of the differences among the three precipitation products and provides a reference for the selection of precipitation data in similar regions. View Full-Text
Keywords: precipitation; CMADS; IMERG; TRMM; SWAT model; runoff projection precipitation; CMADS; IMERG; TRMM; SWAT model; runoff projection
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MDPI and ACS Style

Song, Y.; Zhang, J.; Meng, X.; Zhou, Y.; Lai, Y.; Cao, Y. Comparison Study of Multiple Precipitation Forcing Data on Hydrological Modeling and Projection in the Qujiang River Basin. Water 2020, 12, 2626. https://doi.org/10.3390/w12092626

AMA Style

Song Y, Zhang J, Meng X, Zhou Y, Lai Y, Cao Y. Comparison Study of Multiple Precipitation Forcing Data on Hydrological Modeling and Projection in the Qujiang River Basin. Water. 2020; 12(9):2626. https://doi.org/10.3390/w12092626

Chicago/Turabian Style

Song, Yongyu, Jing Zhang, Xianyong Meng, Yuyan Zhou, Yuequn Lai, and Yang Cao. 2020. "Comparison Study of Multiple Precipitation Forcing Data on Hydrological Modeling and Projection in the Qujiang River Basin" Water 12, no. 9: 2626. https://doi.org/10.3390/w12092626

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