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

• मुख्य लेखक: Meng, Xianyong (auth)
• अन्य लेखक: Wang, Hao (auth)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2019
• विषय: 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
• ऑनलाइन पहुंच: 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...