Temporal-spatial characteristics of observed key parameters of snow cover in China during 1957-2009

被引:4
作者
LiJuan Ma DaHe Qin National Climate Center Beijing China China Meteorological Administration Beijing China State Key Laboratory of Cryospheric Sciences Cold and Arid Regions Environmental and Engineering Research Institute Lanzhou Gansu China [1 ,2 ,3 ,1 ,100081 ,2 ,100081 ,3 ,730000 ]
机构
关键词
snow cover; snow density; snow depth; snow water equivalent; climate change;
D O I
暂无
中图分类号
P468.025 [];
学科分类号
0706 ; 070601 ;
摘要
Using observed snow cover data from Chinese meteorological stations, this study indicated that annual mean snow depth, Snow Water Equivalent (SWE), and snow density during 1957-2009 were 0.49 cm, 0.7 mm, and 0.14 g/cm 3 over China as a whole, respectively. On average, they were all the smallest in the Qinghai-Tibetan Plateau (QTP), and were greater in northwestern China (NW). Spatially, the regions with greater annual mean snow depth and SWE were located in northeastern China including eastern Inner Mongolia (NE), northern Xinjiang municipality, and a small fraction of southwestern QTP. Annual mean snow density was below 0.14 g/cm 3 in most of China, and was higher in the QTP, NE, and NW. The trend analyses revealed that both annual mean snow depth and SWE presented increasing trends in NE, NW, the QTP, and China as a whole during 1957-2009. Although the trend in China as a whole was not significant, the amplitude of variation became increasingly greater in the second half of the 20th century. Spatially, the statistically significant (95%-level) positive trends for annual mean snow depth were located in western and northern NE, northwestern Xinjiang municipality, and northeastern QTP. The distribution of positive and negative trends for annual mean SWE were similar to that of snow depth in position, but not in range. The range with positive trends of SWE was not as large as that of snow depth, but the range with negative trends was larger.
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收藏
页码:384 / 393
页数:10
相关论文
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Assessment of Snow Cover Vulnerability over the Qinghai-Tibetan Plateau[J]. Lijuan Ma~1,Dahe Qin~(2,3),Lingen Bian~4,Cunde Xiao~(3,4),Yong Luo~1 1 National Climate Center,China Meteorological Administration,Beijing 100081,China 2 China Meteorological Administration,Beijing 100081,China 3 State Key Laboratory of Cryospheric Sciences,Cold and Arid Regions Environmental and Engineering Research Institute,Lanzhou 730000,China 4 Chinese Academy of Meteorological Sciences,Beijing 100081,China.Advances
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