Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
Material type:
ArticleLanguage: English Publication details: MDPI - Multidisciplinary Digital Publishing Institute 2019Description: 1 electronic resource (384 p.)ISBN: - books978-3-03921-236-1
- 9783039212354
- 9783039212361
- 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
| Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Electronic-Books
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OPJGU Sonepat- Campus | E-Books Open Access | Available |
Open Access star Unrestricted online access
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.
Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/ cc https://creativecommons.org/licenses/by-nc-nd/4.0/
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