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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 (CMADS) in East Asia

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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.

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Keywords

  • accumulation
  • aggregated reservoir
  • bayesian model averaging
  • Biliuhe reservoir
  • blue and green water flows
  • capacity distribution
  • CFSR
  • China
  • climate variability
  • CMADS
  • CMADS dataset
  • CMADS-ST
  • East Asia
  • Erhai Lake Basin
  • freeze–thaw period
  • Glue
  • Han River
  • hydrologic model
  • hydrological
  • hydrological elements
  • hydrological model
  • hydrological modeling
  • hydrological modelling
  • hydrological processes
  • IMERG
  • impact
  • JBR
  • Jinsha River Basin
  • Land use change
  • land-use change
  • Lijiang River
  • meteorological
  • meteorological input uncertainty
  • Noah LSM-HMS
  • non-point source pollution models
  • operation rule
  • Parameter sensitivity
  • ParaSol
  • Penman-Monteith
  • PERSIANN
  • PERSIANN-CDR
  • potential evapotranspiration
  • precipitation
  • Qinghai-Tibet Plateau (TP)
  • reanalysis products
  • reservoir parameters
  • Reservoirs
  • runoff
  • satellite-based products
  • satellite-derived rainfall
  • sediment yield
  • sensitivity analysis
  • sloping black soil farmland
  • soil moisture
  • soil moisture content
  • soil temperature
  • spatio-temporal
  • statistical analysis
  • Streamflow
  • streamflow simulation
  • SUFI-2
  • SUFI2
  • SWAT
  • SWAT hydrological simulation
  • SWAT model
  • TMPA-3B42V7
  • total nitrogen
  • TRMM
  • uncertainty
  • uncertainty analysis
  • Xiang River basin
  • Yalong River
  • Yellow River

Links

DOI: 10.3390/books978-3-03921-236-1

Editions

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