2023
DOI: 10.1038/s43247-023-00848-9
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Seasonality of the Meridional Overturning Circulation in the subpolar North Atlantic

Abstract: Understanding the variability of the Atlantic Meridional Overturning Circulation is essential for better predictions of our changing climate. Here we present an updated time series (August 2014 to June 2020) from the Overturning in the Subpolar North Atlantic Program. The 6-year time series allows us to observe the seasonality of the subpolar overturning and meridional heat and freshwater transports. The overturning peaks in late spring and reaches a minimum in early winter, with a peak-to-trough range of 9.0 … Show more

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Cited by 22 publications
(33 citation statements)
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“…The strongest AMOC volume transports appear from August to November, the weakest in January. This agrees with other observations of the seasonal cycle in the subpolar North Atlantic at the OSNAP array (Fu et al., 2023), finding a minimum AMOC volume transport in winter (NDJ). The shape of the seasonal cycle does not depend on whether it is calculated over the whole period, the RAPID measuring period, or the OSNAP measuring period.…”
Section: Resultssupporting
confidence: 92%
“…The strongest AMOC volume transports appear from August to November, the weakest in January. This agrees with other observations of the seasonal cycle in the subpolar North Atlantic at the OSNAP array (Fu et al., 2023), finding a minimum AMOC volume transport in winter (NDJ). The shape of the seasonal cycle does not depend on whether it is calculated over the whole period, the RAPID measuring period, or the OSNAP measuring period.…”
Section: Resultssupporting
confidence: 92%
“…MOC in the density space is the maximum of the stream function, MOC(t)=maxσ0[]ψ()σ0,t=σmaxσMOC(t)xwxev()x,σ,tdx0.25emdσ, $\text{MOC}(t)={\max }_{{\sigma }_{0}}\left[\psi \left({\sigma }_{0},t\right)\right]=\int \nolimits_{{\sigma }_{\max }}^{{\sigma }_{\text{MOC}}(t)}\int \nolimits_{{x}_{w}}^{{x}_{e}}v\left(x,\sigma ,t\right)dx\,d\sigma ,$ where σ MOC represents the density at which the overturning stream function reaches its maximum. To maintain consistency with the observational results reported by the OSNAP team (e.g., Fu et al., 2023; Lozier et al., 2019), the density employed here is σ 0 , that is, the potential density referenced to the sea surface. The comparison of the ECCO data set and the OSNAP observation is detailed in Text S1 of Supporting Information .…”
Section: Methodsmentioning
confidence: 83%
“…Despite the limited overlap in time span between ECCO v4r3 (1992between ECCO v4r3 ( -2015 and the OSNAP observation (2014 onwards), the performance of ECCO in capturing the OSNAP MOC can still be evaluated by examining its ability to reproduce the long-term mean and seasonal variability. Following previous studies, it is more proper to define the subpolar MOC in the density space than the depth space (e.g., Fu et al, 2023;Li et al, 2021;Lozier et al, 2019). The overturning stream function in the density space, written as ψ(σ 0 ,t), is obtained by integrating from a high-density extreme (σ max ) over the zonal section extending from x w to x e ,…”
Section: Data: Ecco V4r3mentioning
confidence: 99%
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“…The OSNAP data used for this work are available online at https://www.o-snap.org/observations/data/ (Fu et al, 2023a(Fu et al, , 2023b.…”
Section: Data Availability Statementmentioning
confidence: 99%