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

• Other Authors: Kim, Tae-Woong (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: 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
• Online Access: 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 agricultural sectors; (4) environmental change impact analyses. The articles in the Special Issue cover a wide geographic range, across China, Taiwan, Korea, and the Indo-China peninsula, which covers many contrasting climate conditions. Hence, the results have global implications: the data, analysis/modeling, methodologies, and conclusions lay a solid foundation for enhancing our scientific knowledge of drought mechanisms and relationships to various environmental conditions.