Mapping distribution and evolution of snow climate in High Mountain Asia during 1980–2018

Snow avalanches pose a growing hazard in High Mountain Asia (HMA), yet their regional patterns are strongly governed by snow-climate regimes that are sensitive to both long-term warming and large-scale circulation variability. Using reanalysis-based meteorological and snow datasets (1980–2018), we develop a spatially continuous snow-climate zonation for HMA and classify the region into maritime (11.9%), transitional (4.1%), and continental (73.0%) snow-climate regimes. We detect a systematic shift toward warmer and wetter snow-climate characteristics, with the most pronounced changes along the southeastern HMA, where the transitional regime expands markedly. Variance decomposition further reveals non-stationary controls on zonation variability: temperature dominates temporal variability in the maritime and transitional regimes (explaining ~80% of their variance), whereas the continental regime is jointly regulated by temperature and snowfall, with a substantial contribution from the North Atlantic Oscillation (NAO) through its dynamical modulation of circulation and moisture transport. These findings provide a mechanistic, regime-aware framework for stratified avalanche-susceptibility modeling and for differentiated monitoring and risk management strategies across HMA under continued climate warming.

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Publication Details

Journal
npj natural hazards.
Published
2026-07-23
DOI
https://doi.org/10.1038/s44304-026-00198-4
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping distribution and evolution of snow climate in High Mountain Asia during 1980–2018

He Jx, Yan Wang, Peng Cui, Jiansheng Hao et al.
npj natural hazards.
Cryospheric studies and observations
article

Mapping distribution and evolution of snow climate in High Mountain Asia during 1980–2018

He Jx, Yan Wang, Peng Cui, Jiansheng Hao, Xiaoqian Fu, Guoqing Chen
article en

Abstract

Snow avalanches pose a growing hazard in High Mountain Asia (HMA), yet their regional patterns are strongly governed by snow-climate regimes that are sensitive to both long-term warming and large-scale circulation variability. Using reanalysis-based meteorological and snow datasets (1980–2018), we develop a spatially continuous snow-climate zonation for HMA and classify the region into maritime (11.9%), transitional (4.1%), and continental (73.0%) snow-climate regimes. We detect a systematic shift toward warmer and wetter snow-climate characteristics, with the most pronounced changes along the southeastern HMA, where the transitional regime expands markedly. Variance decomposition further reveals non-stationary controls on zonation variability: temperature dominates temporal variability in the maritime and transitional regimes (explaining ~80% of their variance), whereas the continental regime is jointly regulated by temperature and snowfall, with a substantial contribution from the North Atlantic Oscillation (NAO) through its dynamical modulation of circulation and moisture transport. These findings provide a mechanistic, regime-aware framework for stratified avalanche-susceptibility modeling and for differentiated monitoring and risk management strategies across HMA under continued climate warming.

npj natural hazards.Vol. 3(1)
Institute of Tibetan Plateau Research (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 12%
Cryospheric studies and observations
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Mapping distribution and evolution of snow climate in High Mountain Asia during 1980–2018 — He Jx, Yan Wang, et al. · npj natural hazards. (2026) | TGRS Research Map | TGRS