2015
DOI: 10.1002/2014jc010379
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Seasonal variability of alongshore winds and sea surface temperature fronts in Eastern Boundary Current Systems

Abstract: Seven years of satellite observations (2003)(2004)(2005)(2006)(2007)(2008)(2009)) are used to describe variability in sea surface temperature (SST) fronts and in the alongshore component of ocean winds, and to investigate their relations in four Eastern Boundary Current Systems (EBCS). The general patterns of SST frontal activity are remarkably similar in all EBCS, with high frontal probabilities along the coast decreasing with distance from the coastline. Results from empirical orthogonal function decompositi… Show more

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Cited by 65 publications
(78 citation statements)
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“…But during the Chlorophyll a maximum (late spring and summer), most of the CO 2 was consumed and/or exported and, therefore, the rate was strongly reduced. (Wang et al, 2015). The different changes in temperature in the coastal slope and offshore waters are related to the different origins of the waters upwelled from depths of about 100 m to the surface (Mittelstaedt, 1983) that spread off the coastal area.…”
Section: Carbon Dioxide Variabilitymentioning
confidence: 99%
“…But during the Chlorophyll a maximum (late spring and summer), most of the CO 2 was consumed and/or exported and, therefore, the rate was strongly reduced. (Wang et al, 2015). The different changes in temperature in the coastal slope and offshore waters are related to the different origins of the waters upwelled from depths of about 100 m to the surface (Mittelstaedt, 1983) that spread off the coastal area.…”
Section: Carbon Dioxide Variabilitymentioning
confidence: 99%
“…In those cases, T o f f shore − T nearshore can be approximated by the sum of DT and the SST differences across all these secondary fronts. The occurrence of such secondary SST gradients is enhanced during summer [34], increasing the difference between DT and T o f f shore − T nearshore . Between March and November, the front is also broadened (Figure 8b).…”
Section: Front Intensitymentioning
confidence: 99%
“…The algorithm has proved to be robust off Central Chile, where it was able to distinguish the main upwelling front from this strong mesoscale field. Mesoscale SST gradients in this region are particularly strong [34]. Thus, the method can all the more be applied to SST fields presenting less strong SST mesoscale field such as other areas, time-averaged SST maps, or lower resolution products.…”
Section: Strengthmentioning
confidence: 99%
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