Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: artificial neural network; Bangladesh; Bayesian approach; Book Industry Communication; China; climate change; climate variability; climatic variables; copula function; decision tree; deep learning; dengue fever; depth-averaged temperature; drought; drought duration; drought severity; Earth sciences; Earth sciences, geography, environment, planning; 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; Meteorology & climatology; neurons; nonstationarity; quantile delta mapping; rainfall; ranges of flood sizes; reanalysis products; reference evapotranspiration; Reference, information & interdisciplinary subjects; Research & information: general; 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
• ISBN: 9783036537009; 9783036536996; 3036537007; 303653699X
• DOI: 10.3390/books978-3-0365-3699-6

This Special Issue of Atmosphere focuses on hydrometeorological extremes and their local impacts on human–environment systems. Particularly, we accepted submissions on the topics of observational and model-based studies that could provide useful information for infrastructure design, decision making, and policy making to achieve our goals of enhancing the resilience of human–environment systems to climate change and increased variability.