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Preprints
https://doi.org/10.5194/tc-2020-202
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2020-202
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Aug 2020

12 Aug 2020

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A revised version of this preprint is currently under review for the journal TC.

Snow cover variations across China from 1951–2018

Xiaodong Huang1, Changyu Liu2, Zhaojun Zheng3, Yunlong Wang2, Xubing Li1, and Tiangang Liang2 Xiaodong Huang et al.
  • 1School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
  • 3Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China

Abstract. Based on a snow depth dataset retrieved from meteorological stations, this experiment explored snow indices, including snow depth (SD), snow covered days (SCDs), and snow phenology variations, across China from 1951 to 2018. The results indicated that the snow cover in China exhibits regional differences. The annual mean SD tended to increase, and the increases in mean and maximum snow depth were 0.04 cm and 0.1 cm per decade, respectively. SCDs tended to increase by approximately 0.5 days per decade. The significant increases were concentrated at latitudes higher than 40° N, especially in Northeast China. However, in the Tibetan Plateau, the SD and SCDs tended to decrease but not significantly. Regarding the snow phenology variations, the snow duration days in China decreased, and 25.2 % of the meteorological stations showed significant decreasing trends. This result was mainly caused by the postponement of the snow onset date and the advancement of the snow end date. Geographical and meteorological factors are closely related to snow cover, especially the change in temperature, which will lead to significant changes in snow depth and phenology.

Xiaodong Huang et al.

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Xiaodong Huang et al.

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Short summary
In the study, the long-term snow cover variation and distribution characteristics are illustrated across China during the period of 1951–2018, using the snow depth dataset retrieve from the National Meteorological Information Center of the China Meteorological Administration. The geographical and meteorological factors were closely related to snow cover change, especially the change in temperature, which will lead to significant changes in snow depth and phenology in mainland China.
In the study, the long-term snow cover variation and distribution characteristics are...
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