2018
DOI: 10.1029/2018gl077378
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Underestimated AMOC Variability and Implications for AMV and Predictability in CMIP Models

Abstract: The Atlantic Meridional Overturning Circulation (AMOC) has profound impacts on various climate phenomena. Using both observations and simulations from the Coupled Model Intercomparison Project Phase 3 and 5, here we show that most models underestimate the amplitude of low-frequency AMOC variability. We further show that stronger low-frequency AMOC variability leads to stronger linkages between the AMOC and key variables associated with the Atlantic multidecadal variability (AMV), and between the subpolar AMV s… Show more

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Cited by 85 publications
(116 citation statements)
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References 61 publications
(95 reference statements)
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“…Multidecadal AMOC variability is a key player in AMV's impact on global and Northern Hemisphere mean surface temperature in CGCMs' control simulations (Barcikowska et al, ; Park et al, ; Stolpe et al, ; Wu et al, ; Yan et al, ), consistent with the simulated impact of multidecadal AMOC change or collapse on global and Northern Hemisphere mean surface temperature in CGCMs' internally perturbed or externally forced simulations (Delworth et al, ; Delworth & Zeng, ; Drijfhout, ; Stolpe et al, ). The linkage between AMV and the Northern Hemisphere mean surface temperatures is stronger (weaker) in CGCMs with relatively stronger (weaker) low‐frequency AMOC variability (Yan et al, ). The impact of the AMOC on the Northern Hemisphere mean surface temperature is stronger in some CGCMs with the mean state North Atlantic SSS biases artificially corrected than otherwise (Park et al, ; Wu et al, ).…”
Section: Climate Impacts Of Multidecadal Amoc Variability and Amvmentioning
confidence: 56%
See 1 more Smart Citation
“…Multidecadal AMOC variability is a key player in AMV's impact on global and Northern Hemisphere mean surface temperature in CGCMs' control simulations (Barcikowska et al, ; Park et al, ; Stolpe et al, ; Wu et al, ; Yan et al, ), consistent with the simulated impact of multidecadal AMOC change or collapse on global and Northern Hemisphere mean surface temperature in CGCMs' internally perturbed or externally forced simulations (Delworth et al, ; Delworth & Zeng, ; Drijfhout, ; Stolpe et al, ). The linkage between AMV and the Northern Hemisphere mean surface temperatures is stronger (weaker) in CGCMs with relatively stronger (weaker) low‐frequency AMOC variability (Yan et al, ). The impact of the AMOC on the Northern Hemisphere mean surface temperature is stronger in some CGCMs with the mean state North Atlantic SSS biases artificially corrected than otherwise (Park et al, ; Wu et al, ).…”
Section: Climate Impacts Of Multidecadal Amoc Variability and Amvmentioning
confidence: 56%
“…The directly observed AMOC at 26°N from the RAPID program exhibits a significant downward shift over the recent decade since 2004, which has been widely interpreted as arising from intrinsic decadal/multidecadal AMOC variability and a reversal from the previous AMOC strengthening (e.g., Jackson et al, ; Robson, Hodson, et al, ; Robson et al, ; Smeed et al, , ; Yan et al, , ). The total reduction of the directly observed AMOC at 26°N between 2004–2009 and 2009–2014 is 2.9 Sv and is statistically significant (Frajka‐Williams et al, ).…”
Section: Amoc‐amv Linkagementioning
confidence: 99%
“…As the AMO shows long persistence of phase and relatively high decadal predictability, which mainly stems from the Atlantic Meridional Overturning Circulation (Keenlyside et al, 2008;Trenary & DelSole, 2016;Yan et al, 2018). As the AMO shows long persistence of phase and relatively high decadal predictability, which mainly stems from the Atlantic Meridional Overturning Circulation (Keenlyside et al, 2008;Trenary & DelSole, 2016;Yan et al, 2018).…”
Section: Resultsmentioning
confidence: 99%
“…Further analysis is also required to identify the model biases that lead to weaker-than-observed IPO and AMV. Biases in simulations of AMV might be linked with underestimated variability in modeled Atlantic Meridional Overturning Circulation (Yan et al, 2018). In the model-mean, multidecadal GMST trends are more strongly correlated with SST trends in the tropics.…”
Section: Discussionmentioning
confidence: 98%