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

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

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...

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Meng, Xianyong
Wang, Hao
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (384 p.)
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spelling Meng, Xianyong auth
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model
MDPI - Multidisciplinary Digital Publishing Institute 2019
1 electronic resource (384 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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.
English
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
3-03921-235-4
Wang, Hao auth
language English
format eBook
author Meng, Xianyong
spellingShingle Meng, Xianyong
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
author_facet Meng, Xianyong
Wang, Hao
author_variant x m xm
author2 Wang, Hao
author2_variant h w hw
author_sort Meng, Xianyong
title Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_full Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_fullStr Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_full_unstemmed Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_auth Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_alt Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model
title_new Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
title_sort application of the china meteorological assimilation driving datasets for the swat model (cmads) in east asia
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2019
physical 1 electronic resource (384 p.)
isbn 3-03921-236-2
3-03921-235-4
illustrated Not Illustrated
work_keys_str_mv AT mengxianyong applicationofthechinameteorologicalassimilationdrivingdatasetsfortheswatmodelcmadsineastasia
AT wanghao applicationofthechinameteorologicalassimilationdrivingdatasetsfortheswatmodelcmadsineastasia
AT mengxianyong applicationofthechinameteorologicalassimilationdrivingdatasetsfortheswatmodel
AT wanghao applicationofthechinameteorologicalassimilationdrivingdatasetsfortheswatmodel
status_str n
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carrierType_str_mv cr
is_hierarchy_title Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
author2_original_writing_str_mv noLinkedField
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