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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.
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
Choose an application
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.
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
Choose an application
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.
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 --- 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
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