2005
DOI: 10.1029/2003jc002156
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How to identify winter convection in the Greenland Sea from hydrographic summer data

Abstract: [1] The identification of winter convection depths from later field observations is an often required but not trivial task. We show from field measurements that the effects of winter convection in the Greenland Sea can vary enormously, including such opposite changes as an increase or decrease of temperature, salinity, or stability. Also, small-scale fluctuations in the vertical can grow larger or cease. Commonly used indicators for past convection in the Greenland Sea like overall vertical homogeneity or a fr… Show more

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Cited by 9 publications
(18 citation statements)
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“…However, convection is not always combined with a stability reduction. While a mixed-layer type of convection results in outstandingly homogeneous vertical conditions in the Greenland Sea (as possibly not observed elsewhere), the second type, namely plume convection, does not destroy the vertical stratification [26]. The thermobaric effect is important for the latter convection type and it might therefore be particularly effective in the Greenland Sea.…”
Section: Density and Stability Developmentmentioning
confidence: 99%
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“…However, convection is not always combined with a stability reduction. While a mixed-layer type of convection results in outstandingly homogeneous vertical conditions in the Greenland Sea (as possibly not observed elsewhere), the second type, namely plume convection, does not destroy the vertical stratification [26]. The thermobaric effect is important for the latter convection type and it might therefore be particularly effective in the Greenland Sea.…”
Section: Density and Stability Developmentmentioning
confidence: 99%
“…When AW are distributed vertically by winter convection, the salinity increase can occasionally be recognised to depths just above the salinity/density step. A mixed layer type ventilation is related to this [26]. In contrast, plume convection transfers fresher waters to greater depths and is effective when the PW input dominates.…”
Section: Temperature and Salinity Developmentmentioning
confidence: 99%
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