Remote Sensing of Hydro-Meteorology

• Autore: Lee Joo-Heon
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (154 p.)
• Soggetto topico: Technology: general issues; History of engineering & technology
• Soggetto non controllato: spatial downscaling; MODIS chlorophyll-a; sentinel-2A MSI; multiple polynomial regression; genetic programming; rainfall variability; Indian Ocean Dipole (IOD); El Niño–Southern Oscillation (ENSO); intentional statistical simulation; satellite-based precipitation; hydrological modeling; error propagation; monsoon-climate watershed; typhoon-induced rainfall; prediction; statistical model; fuzzy C-means clustering; China; remote sensing; integrated drought monitoring; meteorological drought; hydrological drought; agricultural drought; Bayesian principal component analysis (BPCA); statistical simulation; extreme precipitation index; PERSIANN-CDR; KGE; linear trend; Huai River Basin; Indian Ocean Dipole mode; El Niño–Southern Oscillation; singular spectrum analysis; mutual information; non-stationarity of seasonal precipitation
• Persona (resp. second.): KimJong-Suk; JungYoung Hun; SurChanyang; LeeJoo-Heon
• Sommario/riassunto: Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.
• Titolo autorizzato: Remote Sensing of Hydro-Meteorology
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566458603321
• Lo trovi qui: Univ. Federico II