LEADER 03938nam  2201189z- 450 
001 9910346839103321
005 20240130210830.0
010   $a3-03921-236-2
035   $a(CKB)4920000000095249
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41054
035   $a(EXLCZ)994920000000095249
100   $a20202102d2019      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplication of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2019
215   $a1 electronic resource (384 p.)
311   $a3-03921-235-4 
330   $aTo 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.
517   $aApplication of the China Meteorological Assimilation Driving Datasets for the SWAT Model
610   $asensitivity analysis
610   $anon-point source pollution models
610   $areservoirs
610   $aoperation rule
610   $aEast Asia
610   $aclimate variability
610   $aQinghai-Tibet Plateau (TP)
610   $apotential evapotranspiration
610   $aprecipitation
610   $acapacity distribution
610   $aGLUE
610   $asoil temperature
610   $aland use change
610   $aJBR
610   $aCFSR
610   $aJinsha River Basin
610   $aimpact
610   $arunoff
610   $aCMADS
610   $ahydrological modeling
610   $aaggregated reservoir
610   $areanalysis products
610   $aLijiang River
610   $aspatio-temporal
610   $auncertainty
610   $atotal nitrogen
610   $aHan River
610   $astreamflow simulation
610   $ameteorological
610   $aCMADS-ST
610   $aErhai Lake Basin
610   $auncertainty analysis
610   $aBiliuhe reservoir
610   $ahydrological
610   $abayesian model averaging
610   $ablue and green water flows
610   $aSUFI-2
610   $aTMPA-3B42V7
610   $astatistical analysis
610   $asatellite-derived rainfall
610   $astreamflow
610   $asatellite-based products
610   $aXiang River basin
610   $aSWAT hydrological simulation
610   $aPERSIANN-CDR
610   $ahydrological processes
610   $aSUFI2
610   $aCMADS dataset
610   $aParaSol
610   $ahydrological modelling
610   $aaccumulation
610   $ameteorological input uncertainty
610   $asoil moisture content
610   $aYellow River
610   $aSWAT
610   $aNoah LSM-HMS
610   $asediment yield
610   $aYalong River
610   $aTRMM
610   $aPenman-Monteith
610   $aIMERG
610   $aPERSIANN
610   $ahydrological elements
610   $afreeze?thaw period
610   $aland-use change
610   $aparameter sensitivity
610   $aChina
610   $areservoir parameters
610   $asoil moisture
610   $asloping black soil farmland
610   $ahydrological model
610   $aSWAT model
610   $ahydrologic model
700   $aMeng$b Xianyong$4auth$01305959
702   $aWang$b Hao$4auth
906   $aBOOK
912   $a9910346839103321
996   $aApplication of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia$93028065
997   $aUNINA