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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 |
| Autore | Meng Xianyong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| 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 | 3-03921-236-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model |
| Record Nr. | UNINA-9910346839103321 |
Meng Xianyong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
| Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems |
| Autore | Kim Jong-Suk |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico |
Research & information: general
Meteorology & climatology |
| Soggetto non controllato |
flood risk
urban flood forecasting and warning inland-river combined flood system LSTM artificial neural network neurons layers temperature South Korea deep learning reference evapotranspiration climate change drought meteorological extremes climatic variables wind speed extreme El Niño event tropical cyclone tropical cyclone-induced precipitation China Bayesian approach nonstationarity reanalysis products quantile delta mapping ranges of flood sizes specific flood distributions ungauged watersheds influence of rainfall characteristics depth-averaged temperature decision tree lifetime maximum intensity climate variability seasonality dengue fever vector rainfall Bangladesh copula function drought duration drought severity land-ocean temperature contrast/meridional temperature gradient standardized precipitation evapotranspiration index |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470503321 |
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Kim Jong-Suk
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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