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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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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 online resource (180 p.) |
| Soggetto topico |
Meteorology and climatology
Research and information: general |
| Soggetto non controllato |
artificial neural network
Bangladesh Bayesian approach China climate change climate variability climatic variables copula function decision tree deep learning dengue fever depth-averaged temperature drought drought duration drought severity extreme El Niño event flood risk influence of rainfall characteristics inland-river combined flood system land-ocean temperature contrast/meridional temperature gradient layers lifetime maximum intensity LSTM meteorological extremes neurons nonstationarity quantile delta mapping rainfall ranges of flood sizes reanalysis products reference evapotranspiration seasonality South Korea specific flood distributions standardized precipitation evapotranspiration index temperature tropical cyclone tropical cyclone-induced precipitation ungauged watersheds urban flood forecasting and warning vector wind speed |
| 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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