The Drought Risk Analysis, Forecasting, and Assessment under Climate Change

• Beste egile batzuk: Kim, Tae-Woong (Argitaratzailea)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Gaiak: History of engineering & technology; 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
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

This Special Issue is a platform to fill the gaps in drought risk analysis with field experience and expertise. It covers (1) robust index development for effective drought monitoring; (2) risk analysis framework development and early warning systems; (3) impact investigations on hydrological and ag...