2017
DOI: 10.1175/jcli-d-16-0790.1
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Evolution of the Atlantic Multidecadal Variability in a Model with an Improved North Atlantic Current

Abstract: This article investigates the dynamics and temporal evolution of the Atlantic multidecadal variability (AMV) in a coupled climate model. The model contains a correction to the North Atlantic flow field to improve the path of the North Atlantic Current, thereby alleviating the surface cold bias, a common problem with climate models, and offering a unique opportunity to study the AMV in a model. Changes in greenhouse gas forcing or aerosol loading are not considered. A striking feature of the results is the cont… Show more

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Cited by 30 publications
(36 citation statements)
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References 92 publications
(143 reference statements)
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“…For example, the amplitudes of internal variability in subpolar North Atlantic SST and associated winter NAO in a CGCM's historical simulation are much weaker than observed at multidecadal timescales (Figures a and b), which are linked to the underestimated low‐frequency internal AMOC variability (Kim, Yeager, Chang, & Danabasoglu, ). Correcting the mean state North Atlantic SSS and AMOC biases in CGCMs might improve the pattern and amplitude of AMV‐related SST and surface turbulent heat fluxes (Drews & Greatbatch, , ; Park et al, ). The impact of AMV on the anticorrelated multidecadal variability in winter NAO is substantially underestimated in most CGCMs (e.g., Peings et al, ; Ting et al, ), due to the underestimated internally generated AMV signal and associated surface turbulent heat flux anomalies (Peings et al, ).…”
Section: Conclusion and Challenging Issuesmentioning
confidence: 99%
“…For example, the amplitudes of internal variability in subpolar North Atlantic SST and associated winter NAO in a CGCM's historical simulation are much weaker than observed at multidecadal timescales (Figures a and b), which are linked to the underestimated low‐frequency internal AMOC variability (Kim, Yeager, Chang, & Danabasoglu, ). Correcting the mean state North Atlantic SSS and AMOC biases in CGCMs might improve the pattern and amplitude of AMV‐related SST and surface turbulent heat fluxes (Drews & Greatbatch, , ; Park et al, ). The impact of AMV on the anticorrelated multidecadal variability in winter NAO is substantially underestimated in most CGCMs (e.g., Peings et al, ; Ting et al, ), due to the underestimated internally generated AMV signal and associated surface turbulent heat flux anomalies (Peings et al, ).…”
Section: Conclusion and Challenging Issuesmentioning
confidence: 99%
“…[] shows that the fundamental equation and mechanism governing the AMV in fully coupled models is well distinguished from that in slab ocean models. At low frequency there is a negative correlation/regression between net surface heat flux (or surface turbulent heat flux) and SST anomalies in subpolar NA in both observations and fully coupled models, indicating the important role of ocean dynamics in the AMV [ Gulev et al ., ; O ' Reilly et al ., ; Zhang et al ., ; Drews and Greatbatch , , ]. However, using a red noise model with no oceanic damping, Clement et al .…”
Section: Introductionmentioning
confidence: 99%
“…The leading mechanism of the observed Atlantic multidecadal variability (AMV) is often thought to be linked to the low‐frequency variability of the Atlantic Meridional Overturning Circulation (AMOC; e.g., Ba et al, , ; Delworth & Mann, ; Delworth et al, ; Drews & Greatbatch, , ; Kim, Yeager, Chang, et al, ; Kim, Yeager, & Danabasoglu, ; Knight et al, ; Kushnir, ; Latif et al, ; McCarthy et al, ; Park et al, ; Yan et al, , ; Zhang, ; Zhang et al, , ). However, some recent studies suggest that AMV is mainly a direct response of the North Atlantic sea surface temperature (SST) to changes in external radiative forcings (e.g., Bellomo et al, ; Bellucci et al, ; Booth et al, ; Murphy et al, ).…”
Section: Introductionmentioning
confidence: 99%