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Simulation of Daily Snow Depth Data in China Based on the NEX-GDDP

Classification of Snow Cover Persistence across China

Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
National Cryosphere Desert Data Center, Lanzhou 730000, China
School of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou 510275, China
Meteorological Institute of Qinghai Province, Xining 810001, China
Author to whom correspondence should be addressed.
Academic Editor: Juraj Parajka
Water 2022, 14(6), 933;
Received: 24 January 2022 / Revised: 12 March 2022 / Accepted: 14 March 2022 / Published: 16 March 2022
(This article belongs to the Special Issue The Role of Snow in High-Mountain Hydrologic Cycle)
In this study, we classified the variability in snow cover persistence across China by using a novel method; continuous snow cover days and variability of snow cover were used as the evaluation indicators based on a long-term Advanced Very High Resolution Radiometer (AVHRR) snow cover extent (SCE) product. The product has been generated by the snow research team in the Northwest Institute of Eco-Environment and Resources (NIEER), Chinese Academy of Sciences. There were obvious differences in snow cover classification in three snow cover areas (northern Xinjiang, northeast China, and the Tibetan Plateau): northern Xinjiang was dominated by persistent snow cover, most regions of northeast China were covered by persistent and periodic variable snow cover. There was the most abundant snow cover classification in the Tibetan Plateau. The extents of persistent and periodic variable snow cover were gradually shrinking due to rising temperatures and decreasing snowfall during 1981–2019. In contrast, non-periodic variable snow cover areas increased significantly. This method takes into account the stability, continuity, and variability of snow cover, and better captures the characteristics and changes of snow cover across China. Based on our research, we found that snow disasters in ephemeral-type (belong to non-periodic variable snow cover) regions cannot be well prevented because of the unfixed snow cover timing. Therefore, we recommend that monitoring and forecasting of snow cover in these snow cover regions should be strengthened. View Full-Text
Keywords: snow cover classification; interdecadal variation; snow disaster; China snow cover classification; interdecadal variation; snow disaster; China
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MDPI and ACS Style

Li, H.; Zhong, X.; Zheng, L.; Hao, X.; Wang, J.; Zhang, J. Classification of Snow Cover Persistence across China. Water 2022, 14, 933.

AMA Style

Li H, Zhong X, Zheng L, Hao X, Wang J, Zhang J. Classification of Snow Cover Persistence across China. Water. 2022; 14(6):933.

Chicago/Turabian Style

Li, Hongxing, Xinyue Zhong, Lei Zheng, Xiaohua Hao, Jian Wang, and Juan Zhang. 2022. "Classification of Snow Cover Persistence across China" Water 14, no. 6: 933.

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