2015
DOI: 10.1002/2015gl065603
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Temporal variability of the South Atlantic Meridional Overturning Circulation between 20°S and 35°S

Abstract: Altimetry-derived synthetic temperature and salinity profiles between 20°S and 34.5°S are used to estimate the Meridional Overturning Circulation (MOC) and meridional heat transport (MHT), which are assessed against estimates obtained from expendable bathythermograph (XBT) measurements. Consistent with studies from XBTs and Argo data, both the geostrophic and Ekman contributions to the MOC exhibit annual cycles and play an equal role in the MOC seasonal variations. The strongest variations on seasonal and inte… Show more

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Cited by 58 publications
(136 citation statements)
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References 39 publications
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“…The Liu et al (2015) surface-flux-based product suggests higher heat transports in good agreement with UR025.4 and GLORYS2V4 across the South Atlantic basin, although the surface integration method accumulates errors from all higher latitudes. The Liu et al (2015) estimates also reasonably agree with the XBT-AX18 and other South Atlantic observational studies at 35 and 30 • S. However, the observational estimates diverge north of 30 • S, with the transports from Dong et al (2015) and Majumder et al (2016) differing by ∼ 0.7 PW at 20 • S. These discrepancies underscore the uncertainties in observed transports through the South Atlantic. Figure 4a-f show maps of the east-west accumulated volume transports from the surface down to the depth of ψ max (typically ∼ 1000 m) for each latitude, defined hereafter as z max .…”
Section: Time Mean Transportssupporting
confidence: 68%
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“…The Liu et al (2015) surface-flux-based product suggests higher heat transports in good agreement with UR025.4 and GLORYS2V4 across the South Atlantic basin, although the surface integration method accumulates errors from all higher latitudes. The Liu et al (2015) estimates also reasonably agree with the XBT-AX18 and other South Atlantic observational studies at 35 and 30 • S. However, the observational estimates diverge north of 30 • S, with the transports from Dong et al (2015) and Majumder et al (2016) differing by ∼ 0.7 PW at 20 • S. These discrepancies underscore the uncertainties in observed transports through the South Atlantic. Figure 4a-f show maps of the east-west accumulated volume transports from the surface down to the depth of ψ max (typically ∼ 1000 m) for each latitude, defined hereafter as z max .…”
Section: Time Mean Transportssupporting
confidence: 68%
“…3a-b) suggests that both the SAMOC strength and MHT of the ORAs are more realistic than those of the FRMs. However, even the highest MHTs of UR025.4 and GLORYS2V4 are almost 0.1 PW lower than the lowest observational estimate from Dong et al (2015). The MHT underestimation of the FRMs and ORAs relative to the observations at 35 • S has already been reported by several authors (e.g.…”
Section: Time Mean Transportsmentioning
confidence: 56%
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“…Only in the past few years have observations been collected to study the MOC and/or the DWBC in the South Atlantic region, beginning with repeated upper ocean expendable bathythermograph (XBT) transects (e.g., Garzoli and Baringer, 2007;Dong et al, 2009Dong et al, , 2014 and full-depth hydrographic sections (e.g., Speer 2003, 2007;, and later adding continuous moored observations at a few locations including 11 • S (Hummels et al, 2015) and 34.5 • S (Meinen et al, 2012(Meinen et al, , 2013b. Gridded data sets from Argo float profiles in the upper 2000 m of the water column and satellite altimetry measurements have also been brought to bear on the meridional flows in the South Atlantic (e.g., Schmid, 2014;Dong et al, 2015;Majumder et al, 2016), providing important information about latitudinal variations of the MOC. Note that most of these systems focus only on the volume transport in the upper water column, and do not directly observe the DWBC (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…This extension of the time series is based on the assumption that the relationship between SSH and dynamic height do not change much over time (Dong et al, 2015;Lopez et al, 2017).…”
mentioning
confidence: 99%