False alarms: How early warning signals falsely predict abrupt sea ice loss

© 2015. American Geophysical Union. All Rights Reserved. Uncovering universal early warning signals for critical transitions has become a coveted goal in diverse scientific disciplines, ranging from climate science to financial mathematics. There has been a flurry of recent research proposing such s...

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Published in:Geophysical Research Letters
Main Authors: Wagner, TJW, Eisenman, I
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2015
Subjects:
Online Access:http://www.escholarship.org/uc/item/2n03p7qb
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spelling ftcdlib:qt2n03p7qb 2023-05-15T18:17:29+02:00 False alarms: How early warning signals falsely predict abrupt sea ice loss Wagner, TJW Eisenman, I 10333 - 10341 2015-12-16 application/pdf http://www.escholarship.org/uc/item/2n03p7qb english eng eScholarship, University of California qt2n03p7qb http://www.escholarship.org/uc/item/2n03p7qb public Wagner, TJW; & Eisenman, I. (2015). False alarms: How early warning signals falsely predict abrupt sea ice loss. Geophysical Research Letters, 42(23), 10333 - 10341. doi:10.1002/2015GL066297. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/2n03p7qb article 2015 ftcdlib https://doi.org/10.1002/2015GL066297 2018-07-13T22:55:55Z © 2015. American Geophysical Union. All Rights Reserved. Uncovering universal early warning signals for critical transitions has become a coveted goal in diverse scientific disciplines, ranging from climate science to financial mathematics. There has been a flurry of recent research proposing such signals, with increasing autocorrelation and increasing variance being among the most widely discussed candidates. A number of studies have suggested that increasing autocorrelation alone may suffice to signal an impending transition, although some others have questioned this. Here we consider variance and autocorrelation in the context of sea ice loss in an idealized model of the global climate system. The model features no bifurcation, nor increased rate of retreat, as the ice disappears. Nonetheless, the autocorrelation of summer sea ice area is found to increase in a global warming scenario. The variance, by contrast, decreases. A simple physical mechanism is proposed to explain the occurrence of increasing autocorrelation but not variance when there is no approaching bifurcation. Additionally, a similar mechanism is shown to allow an increase in both indicators with no physically attainable bifurcation. This implies that relying on autocorrelation and variance as early warning signals can raise false alarms in the climate system, warning of "tipping points" that are not actually there. Article in Journal/Newspaper Sea ice University of California: eScholarship Geophysical Research Letters 42 23
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
description © 2015. American Geophysical Union. All Rights Reserved. Uncovering universal early warning signals for critical transitions has become a coveted goal in diverse scientific disciplines, ranging from climate science to financial mathematics. There has been a flurry of recent research proposing such signals, with increasing autocorrelation and increasing variance being among the most widely discussed candidates. A number of studies have suggested that increasing autocorrelation alone may suffice to signal an impending transition, although some others have questioned this. Here we consider variance and autocorrelation in the context of sea ice loss in an idealized model of the global climate system. The model features no bifurcation, nor increased rate of retreat, as the ice disappears. Nonetheless, the autocorrelation of summer sea ice area is found to increase in a global warming scenario. The variance, by contrast, decreases. A simple physical mechanism is proposed to explain the occurrence of increasing autocorrelation but not variance when there is no approaching bifurcation. Additionally, a similar mechanism is shown to allow an increase in both indicators with no physically attainable bifurcation. This implies that relying on autocorrelation and variance as early warning signals can raise false alarms in the climate system, warning of "tipping points" that are not actually there.
format Article in Journal/Newspaper
author Wagner, TJW
Eisenman, I
spellingShingle Wagner, TJW
Eisenman, I
False alarms: How early warning signals falsely predict abrupt sea ice loss
author_facet Wagner, TJW
Eisenman, I
author_sort Wagner, TJW
title False alarms: How early warning signals falsely predict abrupt sea ice loss
title_short False alarms: How early warning signals falsely predict abrupt sea ice loss
title_full False alarms: How early warning signals falsely predict abrupt sea ice loss
title_fullStr False alarms: How early warning signals falsely predict abrupt sea ice loss
title_full_unstemmed False alarms: How early warning signals falsely predict abrupt sea ice loss
title_sort false alarms: how early warning signals falsely predict abrupt sea ice loss
publisher eScholarship, University of California
publishDate 2015
url http://www.escholarship.org/uc/item/2n03p7qb
op_coverage 10333 - 10341
genre Sea ice
genre_facet Sea ice
op_source Wagner, TJW; & Eisenman, I. (2015). False alarms: How early warning signals falsely predict abrupt sea ice loss. Geophysical Research Letters, 42(23), 10333 - 10341. doi:10.1002/2015GL066297. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/2n03p7qb
op_relation qt2n03p7qb
http://www.escholarship.org/uc/item/2n03p7qb
op_rights public
op_doi https://doi.org/10.1002/2015GL066297
container_title Geophysical Research Letters
container_volume 42
container_issue 23
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