Hydroclimate volatility on a warming Earth

波动性(金融) 热身 环境科学 气候学 地质学 经济 医学 计量经济学 物理疗法
作者
Daniel L. Swain,Andreas F. Prein,John T. Abatzoglou,Christine M. Albano,Manuela I. Brunner,Noah S. Diffenbaugh,Deepti Singh,Christopher B. Skinner,Danielle Touma
出处
期刊:Nature Reviews Earth & Environment [Nature Portfolio]
卷期号:6 (1): 35-50 被引量:138
标识
DOI:10.1038/s43017-024-00624-z
摘要

Hydroclimate volatility refers to sudden, large and/or frequent transitions between very dry and very wet conditions. In this Review, we examine how hydroclimate volatility is anticipated to evolve with anthropogenic warming. Using a metric of 'hydroclimate whiplash' based on the Standardized Precipitation Evapotranspiration Index, global-averaged subseasonal (3-month) and interannual (12-month) whiplash have increased by 31–66% and 8–31%, respectively, since the mid-twentieth century. Further increases are anticipated with ongoing warming, including subseasonal increases of 113% and interannual increases of 52% over land areas with 3 °C of warming; these changes are largest at high latitudes and from northern Africa eastward into South Asia. Extensive evidence links these increases primarily to thermodynamics, namely the rising water-vapour-holding capacity and potential evaporative demand of the atmosphere. Increases in hydroclimate volatility will amplify hazards associated with rapid swings between wet and dry states (including flash floods, wildfires, landslides and disease outbreaks), and could accelerate a water management shift towards co-management of drought and flood risks. A clearer understanding of plausible future trajectories of hydroclimate volatility requires expanded focus on the response of atmospheric circulation to regional and global forcings, as well as land–ocean–atmosphere feedbacks, using large ensemble climate model simulations, storm-resolving high-resolution models and emerging machine learning methods.
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