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Glacier Mass Balance Pattern and Its Variation Mechanism in the West Kunlun Mountains in Tibetan Plateau
Gao, Le1,2,3; Yang, Xiaofeng4; Qi, Jifeng1,2,3; Chen, Wenfeng5
2022-06-01
发表期刊REMOTE SENSING
卷号14期号:11页码:16
通讯作者Yang, Xiaofeng(yangxf@radi.ac.cn)
摘要Mass balance observations are beneficial for assessing climate change in different world regions. This study analyzed the glacier elevation change, ice flux divergence, and surface mass balance (SMB) in the West Kunlun Mountains (WKM) on the Tibetan Plateau using remote sensing data, including satellite altimetry, glacier surface velocity, and thickness fields. Seventeen local glaciers were examined in detail and showed varying surface elevation changes from -0.39 +/- 0.11 to 0.83 +/- 0.10 m/a. Overall, we obtained a reasonably rapid elevation trend of 0.21 +/- 0.14 m/a. By combining the ice flux divergence and surface mass balance, the overall thickness change of the WKM glacier over time is almost zero, and the WKM glacier shows a positive mass balance of 0.21 +/- 0.98 m/a. Moreover, the ice flux divergence is more significant on the ice tongue than in the flat region due to the more considerable gradient of surface velocity and thickness fields. We found that glacier heterogeneity dynamics were associated with a surging dynamic mechanism concentrated in the glacier tongue and were induced by inner terrain instabilities. The glacier surging causes a drastic drop in glacier elevation but does not cause a glacier mass gain or loss, and it has an enhanced effect on the ice flux divergence. Therefore, glacier surging is the main reason for the decline of the two glaciers monitored. In addition, the long-term meteorological data analysis found that, since 2000, the air temperature warming hiatus may have balanced the three glaciers, and significantly increasing precipitation variation may cause the glacier to thicken the most.
关键词satellite altimetry glacier elevation change glacier inner terrain glacier surging ice flux divergence surface mass balance climate change
DOI10.3390/rs14112634
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[42090044] ; National Natural Science Foundation of China[U2006211] ; Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao)[2022QNLM050301-2] ; Natural Science Foundation of Shandong Province, China[ZR2021MD022] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060101] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000] ; Major scientific and technological innovation projects in Shandong Province[2019JZZY010102] ; CAS Program[Y9KY04101L]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000809005700001
出版者MDPI
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文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/179525
专题海洋环流与波动重点实验室
通讯作者Yang, Xiaofeng
作者单位1.Chinese Acad Sci, CAS Key Laboratary Ocean Circulat & Waves, Inst Oceanol, 7 Nanhai Rd, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Ctr Ocean Mega Sci, 7 Nanhai Rd, Qingdao 266071, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, 1 Wenhai Rd, Qingdao 266237, Peoples R China
4.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Beijing 100101, Peoples R China
第一作者单位中国科学院海洋研究所
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Gao, Le,Yang, Xiaofeng,Qi, Jifeng,et al. Glacier Mass Balance Pattern and Its Variation Mechanism in the West Kunlun Mountains in Tibetan Plateau[J]. REMOTE SENSING,2022,14(11):16.
APA Gao, Le,Yang, Xiaofeng,Qi, Jifeng,&Chen, Wenfeng.(2022).Glacier Mass Balance Pattern and Its Variation Mechanism in the West Kunlun Mountains in Tibetan Plateau.REMOTE SENSING,14(11),16.
MLA Gao, Le,et al."Glacier Mass Balance Pattern and Its Variation Mechanism in the West Kunlun Mountains in Tibetan Plateau".REMOTE SENSING 14.11(2022):16.
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