文献类型：期刊文献

英文题名：Multiscale variations in Arctic sea ice motion and links to atmospheric and oceanic conditions

作者：Fu, Dongyang[1,2];Liu, Bei[1];Qi, Yali[1,2];Yu, Guo[1,2];Huang, Haoen[1];Qu, Lilian[1]

机构：[1]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang, Guangdong, Peoples R China;[2]Guangdong Prov Engn & Technol Res Ctr Marine Remo, Zhanjiang, Guangdong, Peoples R China

年份：2021

卷号：15

期号：8

起止页码：3797

外文期刊名：CRYOSPHERE

收录：SCI-EXPANDED(收录号：WOS:000687040600003)、、Scopus(收录号：2-s2.0-85113740194)、WOS

基金：This research has been supported by the Science and Technology Planning Project of Guangdong Province of China (grant no. 2016A020222016), the Guangdong Education Department (grant no. 2019KZDXM019), the Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (grant no. ZJW-2019-08), the high-level marine discipline team project of Guangdong Ocean University (grant no. 002026002009), by Guangdong graduate academic forum project (grant no. 230420003), and the "first class" discipline construction platform project in 2019 of Guangdong Ocean University (grant no. 231419026).

语种：英文

外文摘要：Arctic sea ice drift motion affects the global material balance, energy exchange and climate change and seriously affects the navigational safety of ships along certain channels. Due to the Arctic's special geographical location and harsh natural conditions, observations and broad understanding of the Arctic sea ice motion are very limited. In this study, sea ice motion data released by the National Snow and Ice Data Center (NSIDC) were used to analyze the climatological, spatial and temporal characteristics of the Arctic sea ice drift from 1979 to 2018 and to understand the multiscale variation characteristics of the three major Arctic sea ice drift patterns. The empirical orthogonal function (EOF) analysis method was used to extract the three main sea ice drift patterns, which are the anticyclonic sea ice drift circulation pattern on the scale of the Arctic basin, the average sea ice transport pattern from the Arctic Ocean to the Fram Strait, and the transport pattern moving ice between the Kara Sea (KS) and the northern coast of Alaska. By using the ensemble empirical mode decomposition (EEMD) method, each temporal coefficient series extracted by the EOF method was decomposed into multiple timescale sequences. We found that the three major drift patterns have four significant interannual variation periods of approximately 1, 2, 4 and 8 years. Furthermore, the second pattern has a significant interdecadal variation characteristic with a period of approximately 19 years, while the other two patterns have no significant interdecadal variation characteristics. Combined with the atmospheric and oceanic geophysical variables, the results of the correlation analysis show that the first EOF sea ice drift pattern is mainly related to atmospheric environmental factors, the second pattern is related to the joint action of atmospheric and oceanic factors, and the third pattern is mainly related to oceanic factors. Our study suggests that the ocean environment also has a strong correlation with sea ice movement. Especially for some sea ice transport patterns, the correlation even exceeds atmospheric forcing.