Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems

• Övriga skapare: Kim, Jong-Suk (Utgivare, redaktör, sammanställare), Dhakal, Nirajan (Utgivare, redaktör, sammanställare), Jun, Changhyun (Utgivare, redaktör, sammanställare), Lee, Taesam (Utgivare, redaktör, sammanställare)
• Materialtyp: Elektronisk Bokavsnitt
• Språk: engelska
• Publicerad: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Ämnen: Research & information: general; Meteorology & climatology; 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
• Länkar: DOAB: download the publication; DOAB: description of the publication

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...