Patterns of Snow Drought Under Climate Change: From Dry to Warm Dominance

Abstract Global warming may trigger more frequent snow droughts (SD). SD can result from low total precipitation (dry‐SD), high temperatures leading to less solid precipitation (warm‐SD), or a combination of both (dry‐warm compound SD). Those three SD types threaten ecosystems differently. Nevertheless, the regions dominated by SD types, the transition patterns, and future risks under climate change remain unclear. We investigated the dominance of the three SD types and their transition patterns across historical and future periods. By 2100, compared to 1981, the results project global increases in SD frequency by more than 3‐fold and 4‐fold under SSP2‐4.5 and SSP5‐8.5 scenarios, respectively. Moreover, the share of warm SD is increasing and projected to account for 65% of the three SD types by 2050. Compared to historical period, the probabilities of dry‐warm compound SD and warm SD in the future period is expected to increase by 3.7 and 6.6 times, respectively.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-04-11
DOI
https://doi.org/10.1029/2025gl114641
Citations
6
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
6.63

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article

Patterns of Snow Drought Under Climate Change: From Dry to Warm Dominance

Nicolas Guyennon, Yanfeng Di, Yupeng Li, Zhi Li et al.
6 citations
Geophysical Research Letters
Climate variability and models
6.63
article

Patterns of Snow Drought Under Climate Change: From Dry to Warm Dominance

Nicolas Guyennon, Yanfeng Di, Yupeng Li, Zhi Li, Chuan Wang, Qixiang Liang, Yaning Chen
article en
6 citations

Abstract

Abstract Global warming may trigger more frequent snow droughts (SD). SD can result from low total precipitation (dry‐SD), high temperatures leading to less solid precipitation (warm‐SD), or a combination of both (dry‐warm compound SD). Those three SD types threaten ecosystems differently. Nevertheless, the regions dominated by SD types, the transition patterns, and future risks under climate change remain unclear. We investigated the dominance of the three SD types and their transition patterns across historical and future periods. By 2100, compared to 1981, the results project global increases in SD frequency by more than 3‐fold and 4‐fold under SSP2‐4.5 and SSP5‐8.5 scenarios, respectively. Moreover, the share of warm SD is increasing and projected to account for 65% of the three SD types by 2050. Compared to historical period, the probabilities of dry‐warm compound SD and warm SD in the future period is expected to increase by 3.7 and 6.6 times, respectively.

Geophysical Research LettersVol. 52(8)
Chinese Academy of Sciences (CN), Xinjiang Institute of Ecology and Geography (CN), Water Research Institute (IT), National Research Council (IT), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences, China Scholarship Council, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association
Openalex Percentile: Top 3%
Climate variability and models
6.63
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Patterns of Snow Drought Under Climate Change: From Dry to Warm Dominance — Nicolas Guyennon, Yanfeng Di, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS