Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems

• Muut tekijät: Kim, Jong-Suk (Toimittaja), Dhakal, Nirajan (Toimittaja), Jun, Changhyun (Toimittaja), Lee, Taesam (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: 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
• Linkit: 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, and policy making to achieve our goals of enhancing the resilience of human-environment systems to climate change and increased variability.