SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Application and evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) in poorly gauged regions in western China 
Authors:Meng, X., X. Zhang, M. Yang, H. Wang, J. Chen, Z. Pan and Y. Wu 
Year:2019 
Journal:Water 
Volume (Issue):11(10) 
Pages: 
Article ID:2171 
DOI:10.3390/w11102171 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate data effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:9,973 km^2 Heihe River, located in northwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:The temporal and spatial differentiation of the underlying surface in East Asia is complex. Due to a lack of meteorological observation data, human cognition and understanding of the surface processes (runoff, snowmelt, soil moisture, water production, etc.) in the area have been greatly limited. With the Heihe River Basin, a poorly gauged region in the cold region of Western China, selected as the study area, three meteorological datasets are evaluated for their suitability to drive the Soil and Water Assessment Tool (SWAT): China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS), Climate Forecast System Reanalysis (CFSR), and Traditional Weather Station (TWS). Resultingly, (1) the runoff output of CMADS + SWAT mode is generally better than that of the other two modes (CFSR + SWAT and TWS + SWAT) and the monthly and daily Nash-Sutcliffe efficiency ranges of the CMADS + SWAT mode are 0.75-0.95 and 0.58-0.77, respectively; (2) the CMADS + SWAT and TWS + SWAT results were fairly similar to the actual data (especially for precipitation and evaporation), with the results produced by CMADS + SWAT lower than those produced by TWS + SWAT; (3) the CMADS + SWAT mode has a greater ability to reproduce water balance than the other two modes. Overestimation of CFSR precipitation results in greater error impact on the uncertainty output of the model, whereas the performances of CMADS and TWS are more similar. This study addresses the gap in the study of surface processes by CMADS users in Western China and provides an important scientific basis for analyzing poorly gauged regions in East Asia. 
Language:English 
Keywords:CMADS; Comparative analysis; Poorly gauged regions; SWAT