2006
DOI: 10.1029/2005pa001238
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Glacial abrupt climate changes and Dansgaard‐Oeschger oscillations in a coupled climate model

Abstract: [1] There are three fundamental features which characterize large glacial millennial (Dansgaard-Oeschger) oscillations: (1) the climatic transitions were abrupt and large; (2) the lengths of both interstadials and stadials and the period of Dansgaard-Oeschger oscillations were not uniform; and (3) there were no large millennial oscillations during an early stage of a glacial period and a peak glacial period. In this modeling study we offer a consistent explanation for these three features by employing an Earth… Show more

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Cited by 46 publications
(39 citation statements)
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“…Our data further indicate that (1) the duration and frequency of the millennial-scale events change systematically throughout the course of a glacial period, and (2) that the general nature of these changes is reproducible for the last two glacial periods. These observations suggest a link between ice volume, which could have changed in broadly the same fashion during the last two glacial periods, and the character, duration and pacing of millennial-scale events, consistent with recent simulation results that the mean climate state represented by global ice-volume can pace climatic events 8,9 . Therefore, ice volume, affecting ice dynamics, probably with feedbacks affecting atmospheric and oceanic circulation, may have a significant influence on GIS and CIS events.…”
supporting
confidence: 88%
See 1 more Smart Citation
“…Our data further indicate that (1) the duration and frequency of the millennial-scale events change systematically throughout the course of a glacial period, and (2) that the general nature of these changes is reproducible for the last two glacial periods. These observations suggest a link between ice volume, which could have changed in broadly the same fashion during the last two glacial periods, and the character, duration and pacing of millennial-scale events, consistent with recent simulation results that the mean climate state represented by global ice-volume can pace climatic events 8,9 . Therefore, ice volume, affecting ice dynamics, probably with feedbacks affecting atmospheric and oceanic circulation, may have a significant influence on GIS and CIS events.…”
supporting
confidence: 88%
“…Our understanding of these factors remains incomplete, however, owing to gaps in the record of monsoon history over the past two interglacial-glacial cycles. In particular, missing sections have hampered our ability to test ideas about orbital-scale controls on the monsoon [5][6][7] , the causes of millennial-scale events 8,9 and relationships between changes in the monsoon and climate in other regions. Here we present an absolute-dated oxygen isotope record from Sanbao cave, central China, that completes a Chinesecave-based record of the strength of the East Asian monsoon that covers the past 224,000 years.…”
mentioning
confidence: 99%
“…Wang and Mysak (2006) found self-sustaining DO-like oscillations and argued that brine rejection (and its effects on upper-ocean buoyancy) was an essential part of the mechanism. Loving and Vallis (2005) found weaker MOC in colder climates with more extensive sea ice cover (with deepwater formation shifted equatorward with the ice edge), arguing that the ice-induced insulation of the sea surface is a necessary condition for weakening the MOC.…”
Section: Discussionmentioning
confidence: 99%
“…Note that these influences may also be enhanced through feedbacks. In particular, sea ice extent variations are often given as trigger (Wang and Mysak, 2006) or amplifiers (Li et al, 2005) of abrupt warming events.…”
Section: Millennial To Sub-millennial Scale Gis Variabilitymentioning
confidence: 99%
“…Numerous studies have already shown that millennial scale climatic variability was reduced during MIS 2 and MIS 4 in relation with ice sheet volume (e.g. McManus et al, 1999;Schulz et al, 2002;Wang and Mysak, 2006;NorthGRIP c.m., 2004;Margari et al, 2010). Our study suggests that the bipolar seesaw was also affected during these cold periods.…”
Section: Millennial Scale Variationsmentioning
confidence: 99%