globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-12-227-2018
Scopus记录号: 2-s2.0-85041231993
论文题名:
Spatiotemporal variability of snow depth across the Eurasian continent from 1966 to 2012
作者: Zhong X; , Zhang T; , Kang S; , Wang K; , Zheng L; , Hu Y; , Wang H
刊名: Cryosphere
ISSN: 19940416
出版年: 2018
卷: 12, 期:1
起始页码: 227
结束页码: 245
语种: 英语
英文关键词: air temperature ; depth determination ; energy balance ; ground-based measurement ; hydrological cycle ; land surface ; remote sensing ; snow cover ; spatiotemporal analysis ; surface energy ; thermal regime ; water supply ; Kamchatka ; Kamchatka Peninsula ; Russian Federation ; Sakhalin ; USSR ; Yenisei Basin
英文摘要: 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 0.6ĝ€cmĝ€decadeĝ'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°ĝ€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. © Author(s) 2018.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75436
Appears in Collections:影响、适应和脆弱性
气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: Key Laboratory of Remote Sensing of Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences (CAS), Lanzhou, China; Key Laboratory of Western China's Environmental Systems, Ministry of Education, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China; State Key Laboratory of Cryospheric Science, Cold and Arid Regions Environmental and Engineering Research Institute, CAS, Lanzhou, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States; Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

Recommended Citation:
Zhong X,, Zhang T,, Kang S,et al. Spatiotemporal variability of snow depth across the Eurasian continent from 1966 to 2012[J]. Cryosphere,2018-01-01,12(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhong X]'s Articles
[, Zhang T]'s Articles
[, Kang S]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhong X]'s Articles
[, Zhang T]'s Articles
[, Kang S]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhong X]‘s Articles
[, Zhang T]‘s Articles
[, Kang S]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.