2017
DOI: 10.1002/2017jc013125
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The warmer the ocean surface, the shallower the mixed layer. How much of this is true?

Abstract: Ocean surface warming is commonly associated with a more stratified, less productive, and less oxygenated ocean. Such an assertion is mainly based on consistent projections of increased near‐surface stratification and shallower mixed layers under global warming scenarios. However, while the observed sea surface temperature (SST) is rising at midlatitudes, the concurrent ocean record shows that stratification is not unequivocally increasing nor is MLD shoaling. We find that while SST increases at three study ar… Show more

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Cited by 87 publications
(90 citation statements)
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References 65 publications
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“…There is a transition from a broad range of T-S properties during low index years and narrower range (toward cold/less salty) during high index years probably due to the increase of water formed through deep convection in the Labrador Sea. As reported previously by Somavilla et al (2017) salinity changes can compensate for the expected surface density decrease due to surface warming.…”
Section: 1029/2018jc014822supporting
confidence: 78%
“…There is a transition from a broad range of T-S properties during low index years and narrower range (toward cold/less salty) during high index years probably due to the increase of water formed through deep convection in the Labrador Sea. As reported previously by Somavilla et al (2017) salinity changes can compensate for the expected surface density decrease due to surface warming.…”
Section: 1029/2018jc014822supporting
confidence: 78%
“…The w EK Ekman is related to the wind stress curl through the expression: wEK=curl()τρf1emwEK=1ρ·[]δτyδx·f·δτxδy·f where ρ is the sea water density and f the Coriolis parameter. Following this expression and using the zonal ( τ x ) and meridional ( τ y ) components of the wind stress obtained from the NCEP/NCAR Reanalysis data set, for each grid point in the central Greenland Sea (74°–76 ° N, 0–6°W), its corresponding w Ek (m/s) and resulting vertical displacement Δ h Ek (m) time series (Δ h Ek = w EK Δ t ; see Figure 8 in Somavilla et al, , for additional information) have been calculated.…”
Section: Methodsmentioning
confidence: 99%
“…We performed lake model simulations with different scenarios of seasonal extinction, which in these lakes is primarily determined by phytoplankton chlorophyll . Here the thermodynamic model was modified to account for seasonally variable extinction, following a typical bimodal pattern according to the Plankton Ecology Group (PEG) model (Sommer et al, 1986(Sommer et al, , 2012, as described in detail in Shatwell et al (2016). A base seasonal extinction pattern was derived from long-term observations of extinction and/or Secchi depth in each study lake, preserving important seasonal characteristics including long-term annual mean extinction (see Table 1), minimum extinction, and timing and magnitude of the spring and summer blooms (Fig.…”
Section: Extinction Scenariosmentioning
confidence: 99%