Significance of the China Meteorological Assimilation Driving Datasets for the SWAT Model ( CMADS ) of East Asia

@inproceedings{Meng2017SignificanceOT,
  title={Significance of the China Meteorological Assimilation Driving Datasets for the SWAT Model ( CMADS ) of East Asia},
  author={Xianyong Meng and Hao Wang},
  year={2017}
}
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… CONTINUE READING