What drives the compound drought and heat events? A dynamic perspective

Compound drought and heat events (CDHE) have garnered significant attention due to their amplified negative impacts on socio-economic systems and ecosystems. However, the mechanisms driving their occurrence and evolution remain unclear, particularly from a dynamic, long-term perspective. This study develops a novel dynamic framework that integrates Meta-Gaussian models, differential equations, and random forest regression to systematically characterize CDHE, attribute key drivers, and identify regional disparities. Results indicate a significant increase in the frequency and intensity of CDHE globally from 1960 to 2022. Attribution analysis reveals that heat is the dominant driver of CDHE, followed by drought conditions and their interaction. Notably, our findings reveal a dynamic shift in CDHE drivers under climate warming: the influence of heat declines, while drought conditions and their interaction gradually become the primary factors. Furthermore, a distinct shift in the driving mechanisms from arid to humid regions is identified. In arid areas, CDHE is more sensitive to changes in drought conditions, whereas in humid regions, heat plays a predominant role. This study advances the understanding of CDHE dynamics by elucidating their regional driving mechanisms and climatic influences. These findings provide critical insights to enhance predictive models and inform adaptive management strategies.

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Publication Details

Journal
Weather and Climate Extremes
Published
2026-01-29
DOI
https://doi.org/10.1016/j.wace.2026.100863
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
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article

What drives the compound drought and heat events? A dynamic perspective

S. Kevin Zhou, Bingyan Li, Lulu Liu, Shaohong Wu et al.
Weather and Climate Extremes
Hydrology and Drought Analysis
article

What drives the compound drought and heat events? A dynamic perspective

S. Kevin Zhou, Bingyan Li, Lulu Liu, Shaohong Wu, Jiangbo Gao, Jie Wang, Rui Yan
article en

Abstract

Compound drought and heat events (CDHE) have garnered significant attention due to their amplified negative impacts on socio-economic systems and ecosystems. However, the mechanisms driving their occurrence and evolution remain unclear, particularly from a dynamic, long-term perspective. This study develops a novel dynamic framework that integrates Meta-Gaussian models, differential equations, and random forest regression to systematically characterize CDHE, attribute key drivers, and identify regional disparities. Results indicate a significant increase in the frequency and intensity of CDHE globally from 1960 to 2022. Attribution analysis reveals that heat is the dominant driver of CDHE, followed by drought conditions and their interaction. Notably, our findings reveal a dynamic shift in CDHE drivers under climate warming: the influence of heat declines, while drought conditions and their interaction gradually become the primary factors. Furthermore, a distinct shift in the driving mechanisms from arid to humid regions is identified. In arid areas, CDHE is more sensitive to changes in drought conditions, whereas in humid regions, heat plays a predominant role. This study advances the understanding of CDHE dynamics by elucidating their regional driving mechanisms and climatic influences. These findings provide critical insights to enhance predictive models and inform adaptive management strategies.

Weather and Climate ExtremesVol. 51
Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
Climate action
Openalex Percentile: Top 81%
Hydrology and Drought Analysis
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What drives the compound drought and heat events? A dynamic perspective — S. Kevin Zhou, Bingyan Li, et al. · Weather and Climate Extremes (2026) | TGRS Research Map | TGRS