1998
DOI: 10.1029/97jc02217
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Intermittent stability and frontogenesis in an area influenced by land runoff

Abstract: Abstract. A frontal structure in Liverpool Bay was studied using conductivitytemperature-depth (CTD) and current meter data. At times of weak vertical mixing by wind and tides, a density-driven gravity flow, induced by river discharge, distorts the thermohaline field, so that an expanding stratified region develops, bounded offshore by a surface front. Expansion of this frontal structure is increasingly curbed by rotation as a near-geostrophic balance is attained. Owing to friction, the space scale and time sc… Show more

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Cited by 4 publications
(4 citation statements)
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References 17 publications
(33 reference statements)
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“…Where the volume of fresh water input is sufficient to offset the negative buoyancy contribution from the temperature a surface-advected plume may develop in the winter. Further evidence for winter stratification, in spite of destabilizing temperature gradients, is found in Sharples and Simpson (1995) and Czitrom and Simpson (1998). Yankovsky and Chapman (1997), and references therein, help explain some of the features of results presented here.…”
Section: Discussionmentioning
confidence: 52%
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“…Where the volume of fresh water input is sufficient to offset the negative buoyancy contribution from the temperature a surface-advected plume may develop in the winter. Further evidence for winter stratification, in spite of destabilizing temperature gradients, is found in Sharples and Simpson (1995) and Czitrom and Simpson (1998). Yankovsky and Chapman (1997), and references therein, help explain some of the features of results presented here.…”
Section: Discussionmentioning
confidence: 52%
“…The limitations of using SST as an indicator of the fronts' position should therefore be considered. Between May and August the salinity and temperature structures contribute equally to the vertical density distribution (Czitrom and Simpson, 1998), and CEFAS SmartBuoy data shows temperature and salinity to be significantly negatively correlated during the summer months. For example, during July 2007 the correlation coefficient for the raw 30 minute time series is -0.8, significant at the 99% level.…”
Section: Discussionmentioning
confidence: 99%
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