2016
DOI: 10.1007/s00382-016-3467-y
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Mechanisms of decadal variability in the Labrador Sea and the wider North Atlantic in a high-resolution climate model

Abstract: trends in Labrador Sea densities are followed by important atmospheric impacts. In particular, a positive winter NAO response appears to follow the negative Labrador Sea density trends, and provides a phase reversal mechanism.

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Cited by 46 publications
(46 citation statements)
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References 96 publications
(153 reference statements)
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“…Therefore, NCAR and GFDL-MOM025 appear to reveal the physics of the MOC upper limb, whereby a change in the subtropical overturning would impact the intensity of LSW formation via changes in heat transport to the subpolar gyre. Such a scenario is consistent with recent modeling studies (e.g., Robson et al 2012;Ortega et al 2017). In contrast, it appears that GISS and GFDL-MOM are revealing the physics of the MOC lower limb, whereby a change in LSW volume leads to a downstream MOC change.…”
Section: A Lsw Volumesupporting
confidence: 90%
“…Therefore, NCAR and GFDL-MOM025 appear to reveal the physics of the MOC upper limb, whereby a change in the subtropical overturning would impact the intensity of LSW formation via changes in heat transport to the subpolar gyre. Such a scenario is consistent with recent modeling studies (e.g., Robson et al 2012;Ortega et al 2017). In contrast, it appears that GISS and GFDL-MOM are revealing the physics of the MOC lower limb, whereby a change in LSW volume leads to a downstream MOC change.…”
Section: A Lsw Volumesupporting
confidence: 90%
“…In Figure , middle column shows time series of the Labrador Sea MLD. The Labrador Sea has been shown to be an important region for forming deep water and influencing the AMOC in this model (Ortega et al, ).…”
Section: Resultsmentioning
confidence: 98%
“…We use 120 years of monthly mean data from a preindustrial control experiment of the HadGEM3-GC2 model (GC2 for short), which was analyzed in Ortega et al (2017). GC2 is a coupled atmosphere-ocean-sea ice configuration of the UK Met Office climate model (Williams et al, 2015).…”
Section: Model Datamentioning
confidence: 99%