可预测性
背景(考古学)
气候学
暴发洪水
环境科学
预警系统
气象学
气候变化
计算机科学
地理
量子力学
大洪水
电信
生物
生态学
物理
地质学
考古
作者
Angeline G. Pendergrass,Gerald A. Meehl,Roger S. Pulwarty,Mike Hobbins,Andrew Hoell,Amir AghaKouchak,C. Bonfils,Ailie J. E. Gallant,Martin P. Hoerling,David Hoffmann,L. Kaatz,Flavio Lehner,Dagmar Llewellyn,Philip W. Mote,Richard Neale,Jonathan T. Overpeck,Amanda Sheffield,Kerstin Stahl,Mark Svoboda,Matthew C. Wheeler
标识
DOI:10.1038/s41558-020-0709-0
摘要
Flash droughts are a recently recognized type of extreme event distinguished by sudden onset and rapid intensification of drought conditions with severe impacts. They unfold on subseasonal-to-seasonal timescales (weeks to months), presenting a new challenge for the surge of interest in improving subseasonal-to-seasonal prediction. Here we discuss existing prediction capability for flash droughts and what is needed to establish their predictability. We place them in the context of synoptic to centennial phenomena, consider how they could be incorporated into early warning systems and risk management, and propose two definitions. The growing awareness that flash droughts involve particular processes and severe impacts, and probably a climate change dimension, makes them a compelling frontier for research, monitoring and prediction. Flash droughts, which develop over the course of weeks, are difficult to forecast given the current state of subseasonal-to-seasonal prediction. This Perspective offers operational and research definitions, places them in the broader context of climate and suggests avenues for future research.
科研通智能强力驱动
Strongly Powered by AbleSci AI