TY  - GEN
AU  - Meng,Xianyong
AU  - Wang,Hao
TI  - Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
SN  - books978-3-03921-236-1
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - sensitivity analysis
KW  - non-point source pollution models
KW  - reservoirs
KW  - operation rule
KW  - East Asia
KW  - climate variability
KW  - Qinghai-Tibet Plateau (TP)
KW  - potential evapotranspiration
KW  - precipitation
KW  - capacity distribution
KW  - GLUE
KW  - soil temperature
KW  - land use change
KW  - JBR
KW  - CFSR
KW  - Jinsha River Basin
KW  - impact
KW  - runoff
KW  - CMADS
KW  - hydrological modeling
KW  - aggregated reservoir
KW  - reanalysis products
KW  - Lijiang River
KW  - spatio-temporal
KW  - uncertainty
KW  - total nitrogen
KW  - Han River
KW  - streamflow simulation
KW  - meteorological
KW  - CMADS-ST
KW  - Erhai Lake Basin
KW  - uncertainty analysis
KW  - Biliuhe reservoir
KW  - hydrological
KW  - bayesian model averaging
KW  - blue and green water flows
KW  - SUFI-2
KW  - TMPA-3B42V7
KW  - statistical analysis
KW  - satellite-derived rainfall
KW  - streamflow
KW  - satellite-based products
KW  - Xiang River basin
KW  - SWAT hydrological simulation
KW  - PERSIANN-CDR
KW  - hydrological processes
KW  - SUFI2
KW  - CMADS dataset
KW  - ParaSol
KW  - hydrological modelling
KW  - accumulation
KW  - meteorological input uncertainty
KW  - soil moisture content
KW  - Yellow River
KW  - SWAT
KW  - Noah LSM-HMS
KW  - sediment yield
KW  - Yalong River
KW  - TRMM
KW  - Penman-Monteith
KW  - IMERG
KW  - PERSIANN
KW  - hydrological elements
KW  - freeze–thaw period
KW  - land-use change
KW  - parameter sensitivity
KW  - China
KW  - reservoir parameters
KW  - soil moisture
KW  - sloping black soil farmland
KW  - hydrological model
KW  - SWAT model
KW  - hydrologic model
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/1439
UR  - https://directory.doabooks.org/handle/20.500.12854/41054
ER  -