SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Significance of the China meteorological assimilation driving datasets for the SWAT Model (CMADS) of east Asia. 
Authors:Meng, X. and H. Wang 
Year:2017 
Journal:Water 
Volume:9(10) 
Pages: 
Article ID:765 
DOI:10.3390/w9100765 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:editorial, preface, introduction or conclusion 
Primary Application Category:climate data effects 
Secondary Application Category:none 
Watershed Description:none 
Calibration Summary: 
Validation Summary: 
General Comments:This is a lead-off article for a special issue that is planned to be published in Water (see http://www.mdpi.com/journal/water/special_issues/CMADS). 
Abstract:The high degree of spatial variability in climate conditions, and a lack of meteorological data for East Asia, present challenges to conducting surface water research in the context of the hydrological cycle. In addition, East Asia is facing pressure from both water resource scarcity and water pollution. The consequences of water pollution have attracted public concern in recent years. The low frequency and difficulty of monitoring water quality present challenges to understanding the continuous spatial distributions of non-point source pollution mechanisms in East Asia. The China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) was developed to provide high-resolution, high-quality meteorological data for use by the scientific community. Applying CMADS can significantly reduce the meteorological input uncertainty and improve the performance of non-point source pollution models, since water resources and non-point source pollution can be more accurately localised. In addition, researchers can make use of high-resolution time series data from CMADS to conduct spatial- and temporal-scale analyses of meteorological data. This Special Issue, “Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia”, provides a platform to introduce recent advances in the modelling of water quality and quantity in watersheds using CMADS and hydrological models, and underscores its application to a wide range of topics. 
Language:English 
Keywords:East Asia; CMADS; meteorological input uncertainty; hydrological modelling; SWAT; non-point source pollution models