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Arid Land Geography ›› 2026, Vol. 49 ›› Issue (2): 356-368.doi: 10.12118/j.issn.1000-6060.2025.118

• Climatology and Hydrology • Previous Articles     Next Articles

Spatiotemporal changes of snow depth and climate attribution in the Three River Source Region from 1980 to 2020 based on remote sensing monitoring

CAO Xiaoyun1,2(), ZHOU Bingrong1,2, LEI Chunmiao2,3(), LIU Zhiyuan1,2, SHI Feifei1,2, YAN Yuqian1,2   

  1. 1. Institute of Qinghai Meteorological Science Research, Xining 810001, Qinghai, China
    2. Key Laboratory of Disaster Prevention and Mitigation of Qinghai Province, Xining 810001, Qinghai, China
    3. Qinghai Meteorological Service Centre, Xining 810001, Qinghai, China
  • Received:2025-03-06 Revised:2025-05-26 Online:2026-02-25 Published:2026-02-27
  • Contact: LEI Chunmiao E-mail:xiaoyun_cao@126.com;mmnnff22@126.com

Abstract:

Changes in the snowpack in the Three Rivers Source Region have important implications for regional and global climate, the hydrological cycle, and ecosystems. However, systematic, long-term monitoring of snow depth dynamics and climate attribution based on remotely sensed data across regions and elevation gradients remains limited. This study analyzed the spatial and temporal patterns of snow depth change in the Three Rivers Source Region from 1980 to 2020 using remote sensing data stratified by subregions and elevation bands, and quantified the relative contributions of temperature and precipitation. The results show that (1) Snow depth in the Three Rivers Source Region exhibited pronounced spatial heterogeneity over the past 41 years, with average snow depth in high-elevation mountain ranges generally exceeding 3 cm and maximum snow depth generally exceeding 6 cm. Average and maximum snow depths decreased significantly at rates of 0.15 cm·(10a)-1 and 0.49 cm·(10a)-1, respectively. A decreasing trend was observed in average snow depth across 68.44% of the region and in maximum snow depth across 63.83% of the region, with significantly decreasing areas accounting for 15.64% and 7.47%, respectively. (2) Pronounced regional and altitudinal differences in snow depth and its changes were observed, with the highest mean and maximum snow depths (2.41 cm and 9.86 cm, respectively) and the fastest decreasing rates [0.37 cm·(10a)-1 and 0.81 cm·(10a)-1, respectively] occurring in the Lancang River source area. Snow depth increased with altitude, with vertical gradients of 0.49 cm·km-1 for mean snow depth and 1.29 cm·km-1 for maximum snow depth. Mean snow depth declined across all elevation bands except the 3.5-4.5 km and >6.0 km bands, whereas maximum snow depth declined across all elevation bands except the 3.5-4.5 km band, with the fastest decrease occurring in the 5.0-5.5 km band. (3) The pronounced “warming and humidifying” climate trend over the past 41 years is the primary driver of snow depth decline in the Three Rivers Source Region, with temperature identified as the dominant controlling factor. The influence of climate change exhibits clear regional and altitudinal differences, with snow depth reductions particularly evident in low-altitude (<3.5 km) and high-altitude (>4.5 km) areas. These findings provide a scientific basis for optimizing snow water resource allocation, ecosystem protection and restoration, and predicting regional climate change trends in the Three Rivers Source Region.

Key words: Three River Source Region, snow depth, climate change, remote sensing monitoring