Reprint

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

Edited by
July 2019
384 pages
  • ISBN978-3-03921-235-4 (Paperback)
  • ISBN978-3-03921-236-1 (PDF)

This book is a reprint of the Special Issue Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia that was published in

Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary

To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced.

Format
  • Paperback
License
© 2019 by the authors; CC BY-NC-ND licence
Keywords
East Asia; CMADS; meteorological input uncertainty; hydrological modelling; SWAT; non-point source pollution models; CMADS; Qinghai-Tibet Plateau (TP); SWAT; CFSR; TRMM; PERSIANN; PERSIANN-CDR; CMADS; satellite-derived rainfall; streamflow simulation; SWAT; Han River; GLUE; hydrological model; ParaSol; SUFI2; uncertainty analysis; SWAT model; CMADS; Lijiang River; runoff; uncertainty analysis; hydrological elements; statistical analysis; SWAT; CMADS; climate variability; land use change; streamflow; potential evapotranspiration; Penman-Monteith; CMADS; China; CMADS dataset; parameter sensitivity; SUFI-2; Yellow River; reanalysis products; satellite-based products; hydrological model; bayesian model averaging; Xiang River basin; total nitrogen; accumulation; SWAT model; CMADS; Biliuhe reservoir; CMADS; SWAT; East Asia; meteorological; hydrological; precipitation; TMPA-3B42V7; CMADS; hydrologic model; uncertainty; reservoirs; operation rule; Noah LSM-HMS; capacity distribution; aggregated reservoir; CMADS; CMADS; IMERG; statistical analysis; SWAT hydrological simulation; Jinsha River Basin; blue and green water flows; climate variability; sensitivity analysis; Erhai Lake Basin; CMADS; SWAT; JBR; soil moisture; hydrological processes; spatio-temporal; sloping black soil farmland; soil moisture content; freeze–thaw period; soil temperature; CMADS-ST; reservoir parameters; runoff; CMADS; SWAT; Yalong River; CMADS; impact; hydrological modeling; SWAT; runoff; sediment yield; land-use change; SWAT; CMADS