Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations

doi:10.1109/JSTARS.2018.2823735

IOCAS-IR > 海洋地质与环境重点实验室

	Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations
	Bi, Haibo 1; Zhang, Jinlun 2; Wang, Yunhe3 ; Zhang, Zehua1 ; Zhang, Yi 1; Fu, Min 4; Huang, Haijun 1; Xu, Xiuli 5
	2018-07-01
发表期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
卷号	11 期号:7 页码:2223-2237
通讯作者	Bi, Haibo([email protected])
摘要	Satellite remote sensing provides new insight into the large-scale changes within the Arctic sea ice cover. In this study, satellite-derived sea ice parameters (thickness and age) were explored to investigate age-dependent Arctic sea ice volume changes. Between 2003-2008 (ICESat) and 2011-2015 (CyroSat-2), Arctic Ocean sea ice experienced a net depletion of roughly 4.68 x 10(3) km(3) during autumn (October-November) and about 87% (or 4.11 x 10(3) km(3)) is caused by the removal in multiyear ice (two years and older). In spring (February-March), the net ice depletion amounts to 1.46 x 10(3) km(3), with the multiyear ice loss of 3.74 x 10(3) km(3) and seasonal ice increment of 2.24 x 10(3) km(3). Among multiyear ice loss, about 74% (autumn) and 93% (spring) of the loss were attributable to the depletion of the oldest ice type (5 years and older). Analyses also affirm that the marvelous volume loss of multiyear ice during cold months (October-May) in 2006/2007 and 2011/2012, along with the low replenishment of perennial ice as noted in the following autumns in 2007 and 2012, plays a major role in leading to a younger Arctic sea ice cover. Consequently, these processes together favors for the overall substantial volume loss observed in the Arctic sea ice cover.
关键词	Age-dependent volume arctic remote sensing
DOI	10.1109/JSTARS.2018.2823735
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[41406215]###115; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Postdoctoral Science Foundation of China[2014M561971]###2026; National Natural Science Foundation of China[41406215]###115; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Postdoctoral Science Foundation of China[2014M561971]###2026; National Natural Science Foundation of China[41406215]; Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Postdoctoral Science Foundation of China[2014M561971]
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000440035600007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/159668
专题	海洋地质与环境重点实验室
通讯作者	Bi, Haibo
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Univ Washington, Appl Phys Lab, Seattle, WA 98195 USA 3.Chinese Acad Sci, Inst Oceanol, Marine Remote Sensing, Qingdao 266071, Peoples R China 4.Natl Marine Environm Forecasting Ctr, Polar Sci, Beijing 100081, Peoples R China 5.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Bi, Haibo,Zhang, Jinlun,Wang, Yunhe,et al. Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(7):2223-2237.
APA	Bi, Haibo.,Zhang, Jinlun.,Wang, Yunhe.,Zhang, Zehua.,Zhang, Yi.,...&Xu, Xiuli.(2018).Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(7),2223-2237.
MLA	Bi, Haibo,et al."Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.7(2018):2223-2237.

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