Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Statistical Analysis and Stochastic Modelling of Hydrological Extremes
| Statistical Analysis and Stochastic Modelling of Hydrological Extremes |
| Autore | Tabari Hossein |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto non controllato |
artificial neural network
downscaling innovative methods reservoir inflow forecasting simulation extreme events climate variability sparse monitoring network weighted mean analogue sampling errors precipitation drought indices discrete wavelet SWSI hyetograph trends climate change SIAP Kabul river basin Hurst exponent extreme rainfall evolutionary strategy the Cauca River hydrological drought global warming least square support vector regression polynomial normal transform TRMM satellite data Fiji heavy storm flood regime compound events random forest uncertainty seasonal climate forecast INDC pledge Pakistan wavelet artificial neural network HBV model temperature APCC Multi-Model Ensemble meteorological drought flow regime high resolution rainfall clausius-clapeyron scaling statistical downscaling ENSO forecasting variation analogue machine learning extreme rainfall analysis hydrological extremes multivariate modeling monsoon non-stationary support vector machine ANN model stretched Gaussian distribution drought prediction non-normality statistical analysis extreme precipitation exposure drought analysis extreme value theory streamflow flood management |
| ISBN | 3-03921-665-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367749703321 |
Tabari Hossein
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
| The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| Autore | Kim Tae-Woong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (168 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
extreme spring drought
atmospheric teleconnection patterns drought prediction China SPI reference precipitation reference period climate change drought GAMLSS nonstationarity meteorological drought standardized precipitation evapotranspiration index climate variability seasonal drought drought return period extreme drought Indochina Peninsula Indian Ocean Dipole intentionally biased bootstrap method drought risk human activities quantitative attribution artificial neural network stochastic model ARIMA model drought forecasting southern Taiwan bivariate frequency analysis hydrologic risk global warming maize yield Songliao Plain maize belt comprehensive drought monitoring Hubei Province multivariate multisource data assessment forecasting |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557738803321 |
|
Kim Tae-Woong
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||