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Coupling Detection in Sea Ice of Bering Sea and Chukchi Sea: Information Entropy Approach

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Title
Coupling Detection in Sea Ice of Bering Sea and Chukchi Sea: Information Entropy Approach
Other Titles
베링해 해빙 상태와 척치해 해빙 변화 간의 연관성 분석 : 정보 엔트로피 접근
Authors
Oh, Mingi
Kim, Hyun-cheol
Subject
Science & Technology - Other Topics
Keywords
Bering Sea; Chukchi Sea; Sea-ice; Time series analysis; Transfer entropy
Issue Date
2018-12
Citation
Oh, Mingi, Kim, Hyun-cheol. 2018. "Coupling Detection in Sea Ice of Bering Sea and Chukchi Sea: Information Entropy Approach". Korean Journal of Remote Sensing, 34(6-2): 1229-1238.
Abstract
We examined if a state of sea-ice in Bering Sea acts as a prelude of variation in that of Chukchi Sea by using satellites-based Arctic sea-ice concentration time series. Datasets consist of monthly values of sea-ice concentration during 36 years (1982~2017). Time series analysis armed with Transfer entropy is performed to describe how sea-ice data in Chukchi Sea is affected by that in Bering Sea, and to explain the relationship. The transfer entropy is a measure which identifies a nonlinear coupling between two random variables or signals and estimates causality using modification of time delay. We verified this measure checked a nonlinear coupling for simulated signals. With sea-ice concentration datasets, we found that sea-ice in Bering Sea is influenced by that in Chukchi Sea 3, 5, 6 months ago through the transfer entropy measure suitable for nonlinear system. Particularly, when a sea-ice concentration of Bering Sea has a local minimum, sea ice concentration around Chukchi Sea tends to decline 5 months later with about 70% chance. This finding is considered to be a process that inflow of Pacific water through Bering strait reduces sea-ice in Chukchi Sea after lowering the concentration of sea-ice in Bering Sea. This approach based on information theory will continue to investigate a timing and time scale of interesting patterns, and thus, a coupling inherent in sea-ice concentration of two remote areas will be verified by studying ocean-atmosphere patterns or events in the period.
URI
https://repository.kopri.re.kr/handle/201206/10816
DOI
http://dx.doi.org/10.7780/kjrs.2018.34.6.2.7
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