Synergistic effects of precipitation and phase changes intensify future rain-on-snow events in the Tianshan and Pamir regions, Central Asia

Rain-on-snow (ROS) events significantly influence hydrological extremes, while their future dynamics across the Tianshan and Pamir regions remain insufficiently assessed. This study utilized WRF dynamically downscaling simulations driven by bias-corrected CMIP6 data to investigate changes in ROS characteristics and water available for runoff contributions during the historical (1995–2014) and mid-century (2041–2060) periods under SSP245 and SSP585 scenarios. Results showed that the historical average annual ROS frequency, daily maximum ROS intensity, and total annual ROS intensity were 1.86 days, 13.52 mm, and 46.02 mm, respectively, with the highest ROS frequency occurring at elevations between 2250 and 2500 m. Regionally, ROS activity was most intense along the windward slopes of the Western Tianshan, Northern Tianshan, and Western Pamir. Seasonally, events peaked in spring, comprising 50.64 % of annual occurrences, with higher contributions in the Pamir (57.09 %) and Western Tianshan (52.65 %). The above indices were projected to increase by 49.57 %, 43.39 %, and 65.67 % under SSP245 and by 49.33 %, 45.44 %, and 66.63 % under SSP585. The annual contribution of snowmelt to total water available for runoff declined by 11.97 percentage points (pp) and 11.39 pp under SSP245 and SSP585 scenarios, respectively, indicating a reduced role of snow-driven runoff processes. In contrast, ROS-induced snowmelt contributions to total snowmelt climbed by 1.42 pp and 1.46 pp; consequently, the ROS intensity's contribution to water available for runoff increased by 1.32 pp and 1.35 pp under the respective scenarios. These shifts were primarily driven by increased annual precipitation (295 and 288 mm), decreased snowfall/precipitation ratio (−8.53 pp and −8.30 pp), and increased all intense rainfall events (11.63 and 11.36 days) under warming (2.49 and 2.51 °C). Consequently, the hydrological system became more susceptible to ROS-driven extreme events. These findings revealed an increased risk of ROS-induced flooding potential under climate warming and underscored a potential seasonal mismatch between runoff supply and water demand in arid alpine regions. • WRF simulations driven by ERA5 and bias-corrected CMIP6 projected ROS events changes under SSP245 and SSP585 scenarios. • ROS frequency and intensity increased notably in spring and mid-elevations, associated with more rainfall and reduced SP ratio. • Intensified ROS enhanced the contribution of related snowmelt and rainfall to water available for runoff.

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Journal
Weather and Climate Extremes
Published
2025-11-20
DOI
https://doi.org/10.1016/j.wace.2025.100833
Primary Topic
Cryospheric studies and observations
Type
article
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article

Synergistic effects of precipitation and phase changes intensify future rain-on-snow events in the Tianshan and Pamir regions, Central Asia

Tao Yang, Philippe De Maeyer, Fengqi Cui, Rafiq Hamdi et al.
Weather and Climate Extremes
Cryospheric studies and observations
article

Synergistic effects of precipitation and phase changes intensify future rain-on-snow events in the Tianshan and Pamir regions, Central Asia

Tao Yang, Philippe De Maeyer, Fengqi Cui, Rafiq Hamdi, Zhaojun Zheng, Xi Chen, Lanhai Li
article en

Abstract

Rain-on-snow (ROS) events significantly influence hydrological extremes, while their future dynamics across the Tianshan and Pamir regions remain insufficiently assessed. This study utilized WRF dynamically downscaling simulations driven by bias-corrected CMIP6 data to investigate changes in ROS characteristics and water available for runoff contributions during the historical (1995–2014) and mid-century (2041–2060) periods under SSP245 and SSP585 scenarios. Results showed that the historical average annual ROS frequency, daily maximum ROS intensity, and total annual ROS intensity were 1.86 days, 13.52 mm, and 46.02 mm, respectively, with the highest ROS frequency occurring at elevations between 2250 and 2500 m. Regionally, ROS activity was most intense along the windward slopes of the Western Tianshan, Northern Tianshan, and Western Pamir. Seasonally, events peaked in spring, comprising 50.64 % of annual occurrences, with higher contributions in the Pamir (57.09 %) and Western Tianshan (52.65 %). The above indices were projected to increase by 49.57 %, 43.39 %, and 65.67 % under SSP245 and by 49.33 %, 45.44 %, and 66.63 % under SSP585. The annual contribution of snowmelt to total water available for runoff declined by 11.97 percentage points (pp) and 11.39 pp under SSP245 and SSP585 scenarios, respectively, indicating a reduced role of snow-driven runoff processes. In contrast, ROS-induced snowmelt contributions to total snowmelt climbed by 1.42 pp and 1.46 pp; consequently, the ROS intensity's contribution to water available for runoff increased by 1.32 pp and 1.35 pp under the respective scenarios. These shifts were primarily driven by increased annual precipitation (295 and 288 mm), decreased snowfall/precipitation ratio (−8.53 pp and −8.30 pp), and increased all intense rainfall events (11.63 and 11.36 days) under warming (2.49 and 2.51 °C). Consequently, the hydrological system became more susceptible to ROS-driven extreme events. These findings revealed an increased risk of ROS-induced flooding potential under climate warming and underscored a potential seasonal mismatch between runoff supply and water demand in arid alpine regions. • WRF simulations driven by ERA5 and bias-corrected CMIP6 projected ROS events changes under SSP245 and SSP585 scenarios. • ROS frequency and intensity increased notably in spring and mid-elevations, associated with more rainfall and reduced SP ratio. • Intensified ROS enhanced the contribution of related snowmelt and rainfall to water available for runoff.

Weather and Climate ExtremesVol. 50
Royal Meteorological Institute of Belgium (BE), China Meteorological Administration (CN), Chinese Academy of Sciences (CN), Ghent University (BE), Shandong Jiaotong University (CN), Xinjiang Institute of Ecology and Geography (CN), Institute of Mountain Hazards and Environment (CN), Zhejiang University of Technology (CN)
Openalex Percentile: Top 60%
Cryospheric studies and observations
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