SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Comparison study of multiple precipitation forcing data on hydrological modeling and projection in the Qujiang River Basin 
Authors:Song, Y., J. Zhang, X. Meng, Y. Zhou, Y. Lai and Y. Cao 
Volume (Issue):12(9) 
Article ID:2626 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:climate change 
Watershed Description:38,900 km^2 Qujiang River, a tributary of the Jialing River (and larger Yangtze River system) which drains part of the eastern portion of Sichuan Province and the City of Chongqing in central China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract: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. 
Keywords:precipitation; CMADS; IMERG; TRMM; SWAT model; runoff projection