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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng
| Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng |
| Autore | Wang Hao |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| Soggetto topico | Geography |
| Soggetto non controllato |
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 |
| ISBN |
9783039212361
3039212362 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839103321 |
Wang Hao
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Hydro-Meteorology
| Remote Sensing of Hydro-Meteorology |
| Autore | Lee Joo-Heon |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (154 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
agricultural drought
Bayesian principal component analysis (BPCA) China El Niño-Southern Oscillation El Niño-Southern Oscillation (ENSO) error propagation extreme precipitation index fuzzy C-means clustering genetic programming Huai River Basin hydrological drought hydrological modeling Indian Ocean Dipole (IOD) Indian Ocean Dipole mode integrated drought monitoring intentional statistical simulation KGE linear trend meteorological drought MODIS chlorophyll-a monsoon-climate watershed multiple polynomial regression mutual information non-stationarity of seasonal precipitation PERSIANN-CDR prediction rainfall variability remote sensing satellite-based precipitation sentinel-2A MSI singular spectrum analysis spatial downscaling statistical model statistical simulation typhoon-induced rainfall |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566458603321 |
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Lee Joo-Heon
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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