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DOI10.1175/JCLI-D-20-0034.1
Fingerprints for early detection of changes in the AMOC
Jackson L.C.; Wood R.A.
发表日期2020
ISSN0894-8755
起始页码7027
结束页码7044
卷号33期号:16
英文摘要Different strategies have been proposed in previous studies for monitoring the Atlantic meridional overturning circulation (AMOC). As well as arrays to directly monitor the AMOC strength, various fingerprints have been suggested to represent an aspect of the AMOC based on properties such as temperature and density. The additional value of fingerprints potentially includes the ability to detect a change earlier than a change in the AMOC itself, the ability to extend a time series back into the past, and the ability to detect crossing a threshold. In this study we select metrics that have been proposed as fingerprints in previous studies and evaluate their ability to detect AMOC changes in a number of scenarios (internal variability, weakening from increased greenhouse gases, weakening from hosing and hysteresis) in the eddy-permitting coupled climate model HadGEM3-GC2. We find that the metrics that perform best are the temperature metrics based on large-scale differences, the large-scale meridional density gradient, and the vertical density difference in the Labrador Sea. The best metric for monitoring the AMOC depends somewhat on the processes driving the change. Hence the best strategy would be to consider multiple fingerprints to provide early detection of all likely AMOC changes. © For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/ PUBSReuseLicenses).
英文关键词Climate models; Greenhouse gases; Palmprint recognition; Atlantic meridional overturning circulations; Coupled climate model; Density difference; Density gradients; Detection of changes; Internal variability; Labrador Sea; Oceanography; climate modeling; detection method; eddy; meridional circulation; overturn; time series analysis; Atlantic Ocean; Labrador Sea
语种英语
来源期刊Journal of Climate
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/171186
作者单位Hadley Centre, Met Office, Exeter, United Kingdom
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GB/T 7714
Jackson L.C.,Wood R.A.. Fingerprints for early detection of changes in the AMOC[J],2020,33(16).
APA Jackson L.C.,&Wood R.A..(2020).Fingerprints for early detection of changes in the AMOC.Journal of Climate,33(16).
MLA Jackson L.C.,et al."Fingerprints for early detection of changes in the AMOC".Journal of Climate 33.16(2020).
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