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

• Auteur principal: Meng, Xianyong (auth)
• Autres auteurs: Wang, Hao (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Sujets: Geography; sensitivity analysis; non-point source pollution models; reservoirs; operation rule; East Asia; climate variability; Qinghai-Tibet Plateau (TP); potential evapotranspiration; precipitation; capacity distribution; GLUE; soil temperature; land use change; JBR; CFSR; Jinsha River Basin; impact; runoff; CMADS; hydrological modeling; aggregated reservoir; reanalysis products; Lijiang River; spatio-temporal; uncertainty; total nitrogen; Han River; streamflow simulation; meteorological; CMADS-ST; Erhai Lake Basin; uncertainty analysis; Biliuhe reservoir; hydrological; bayesian model averaging; blue and green water flows; SUFI-2; TMPA-3B42V7; statistical analysis; satellite-derived rainfall; streamflow; satellite-based products; Xiang River basin; SWAT hydrological simulation; PERSIANN-CDR; hydrological processes; SUFI2; CMADS dataset; ParaSol; hydrological modelling; accumulation; meteorological input uncertainty; soil moisture content; Yellow River; SWAT; Noah LSM-HMS; sediment yield; Yalong River; TRMM; Penman-Monteith; IMERG; PERSIANN; hydrological elements; freeze-thaw period; land-use change; parameter sensitivity; China; reservoir parameters; soil moisture; sloping black soil farmland; hydrological model; SWAT model; hydrologic model
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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...