Arctic multiyear sea ice variability observed from satellites: a review | |
Bi Haibo1,2,3,4; Liang Yu1,2,3,4; Wang Yunhe1,2,3,4; Liang Xi5; Zhang Zehua1,2,3,4; Du Tingqin5; Yu Qinglong6; Huang Jue7; Kong Mei8; Huang Haijun1,2,3,4 | |
2020-07-01 | |
发表期刊 | JOURNAL OF OCEANOLOGY AND LIMNOLOGY |
ISSN | 2096-5508 |
卷号 | 38期号:4页码:962-984 |
通讯作者 | Bi Haibo([email protected]) ; Wang Yunhe([email protected]) |
摘要 | In comparison with seasonal sea ice (first-year ice, FY ice), multiyear (MY) sea ice is thicker and has more opportunity to survive through the summer melting seasons. Therefore, the variability of wintertime MY ice plays a vital role in modulating the variations in the Arctic sea ice minimum extent during the following summer. As a response, the ice-ocean-atmosphere interactions may be significantly affected by the variations in the MY ice cover. Satellite observations are characterized by their capability to capture the spatiotemporal changes of Arctic sea ice. During the recent decades, many active and passive sensors onboard a variety of satellites (QuikSCAT, ASCAT, SSMIS, ICESat, CryoSat-2, etc.) have been used to monitor the dramatic loss of Arctic MY ice. The main objective of this study is to outline the advances and remaining challenges in monitoring the MY ice changes through the utilization of multiple satellite observations. We summarize the primary satellite data sources that are used to identify MY ice. The methodology to classify MY ice and derive MY ice concentration is reviewed. The interannual variability and trends in the MY ice time series in terms of coverage, thickness, volume, and age composition are evaluated. The potential causes associated with the observed Arctic MY ice loss are outlined, which are primarily related to the export and melting mechanisms. In addition, the causes to the MY ice depletion from the perspective of the oceanic water inflow from Pacific and Atlantic Oceans and the water vapor intrusion, as well as the roles of synoptic weather, are analyzed. The remaining challenges and possible upcoming research subjects in detecting the rapidly changing Arctic MY ice using the combined application of multisource remote sensing techniques are discussed. Moreover, some suggestions for the future application of satellite observations on the investigations of MY ice cover changes are proposed. |
关键词 | multiyear sea ice Arctic Ocean satellite observation |
DOI | 10.1007/s00343-020-0093-7 |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Marine & Freshwater Biology ; Oceanography |
WOS类目 | Limnology ; Oceanography |
WOS记录号 | WOS:000551529700004 |
出版者 | SCIENCE PRESS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/168039 |
专题 | 海洋地质与环境重点实验室 |
通讯作者 | Bi Haibo; Wang Yunhe |
作者单位 | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266200, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Shandong Acad Environm Sci Co Ltd, Jinan 250013, Peoples R China 6.Natl Marine Environm Forecasting Ctr, Beijing 100081, Peoples R China 7.Shandong Univ Sci & Technol, Qingdao 266590, Peoples R China 8.Shandong Prov Ecoenvironm Monitoring Ctr, Jinan 250101, Peoples R China |
第一作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
通讯作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
推荐引用方式 GB/T 7714 | Bi Haibo,Liang Yu,Wang Yunhe,et al. Arctic multiyear sea ice variability observed from satellites: a review[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2020,38(4):962-984. |
APA | Bi Haibo.,Liang Yu.,Wang Yunhe.,Liang Xi.,Zhang Zehua.,...&Huang Haijun.(2020).Arctic multiyear sea ice variability observed from satellites: a review.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,38(4),962-984. |
MLA | Bi Haibo,et al."Arctic multiyear sea ice variability observed from satellites: a review".JOURNAL OF OCEANOLOGY AND LIMNOLOGY 38.4(2020):962-984. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Arctic multiyear sea(5213KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 |
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