Spatiotemporal variability of snow depth across the Eurasian continent from 1966 to 2012

• Published in: The Cryosphere
• Main Authors: X. Zhong, T. Zhang, S. Kang, K. Wang, L. Zheng, Y. Hu, H. Wang
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2018
• Subjects: geo; envir; Kamchatka Peninsula; Yenisei River; Kamchatka; Sakhalin; The Cryosphere
• Online Access: https://doi.org/10.5194/tc-12-227-2018; https://www.the-cryosphere.net/12/227/2018/tc-12-227-2018.pdf; https://doaj.org/article/dbf599d8a4924a3d8a6a54c41fab1f4e

Snow depth is one of the key physical parameters for understanding land surface energy balance, soil thermal regime, water cycle, and assessing water resources from local community to regional industrial water supply. Previous studies by using in situ data are mostly site specific; data from satellite remote sensing may cover a large area or global scale, but uncertainties remain large. The primary objective of this study is to investigate spatial variability and temporal change in snow depth across the Eurasian continent. Data used include long-term (1966–2012) ground-based measurements from 1814 stations. Spatially, long-term (1971–2000) mean annual snow depths of >20 cm were recorded in northeastern European Russia, the Yenisei River basin, Kamchatka Peninsula, and Sakhalin. Annual mean and maximum snow depth increased by 0.2 and 0.6 cm decade−1 from 1966 through 2012. Seasonally, monthly mean snow depth decreased in autumn and increased in winter and spring over the study period. Regionally, snow depth significantly increased in areas north of 50° N. Compared with air temperature, snowfall had greater influence on snow depth during November through March across the former Soviet Union. This study provides a baseline for snow depth climatology and changes across the Eurasian continent, which would significantly help to better understanding climate system and climate changes on regional, hemispheric, or even global scales.