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dc.contributor.authorDever, Mathieu  Concept link
dc.contributor.authorSkagseth, Øystein  Concept link
dc.contributor.authorDrinkwater, Ken F.  Concept link
dc.contributor.authorHebert, David  Concept link
dc.date.accessioned2018-09-07T19:31:20Z
dc.date.available2019-01-28T10:00:57Z
dc.date.issued2018-07-28
dc.identifier.citationJournal of Geophysical Research: Oceans 123 (2018): 4988-5003en_US
dc.identifier.urihttps://hdl.handle.net/1912/10562
dc.descriptionAuthor Posting. © American Geophysical Union, 2018. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 123 (2018): 4988-5003, doi:10.1029/2017JC013338.en_US
dc.description.abstractThe focus of this study is on the relative roles of winds and buoyancy in driving the Nova Scotia Current (NSC) utilizing detailed hydrographic glider transects along the Halifax Line. We define a Hydrographic Wind Index (HWI) using a simplistic two‐layer model to represent the NSC and its frontal system. The HWI is based on local characteristics of the density front extracted from the glider data (e.g., frontal slope). The impact of wind‐driven isopycnal tilting on the frontal slope is estimated and corrected for to accurately scale the buoyancy‐driven component of the NSC. Observations from independent current profilers deployed across the NSC confirm that the HWI captures the low‐frequency variability of the NSC. The monthly wind‐driven flow is estimated to represent between 1.0% (±0.1%) and 48% (±1%) of the total alongshore currents, with a yearly mean of about 36% (±1%). We demonstrate that using local conditions is more appropriate to the study of buoyancy‐driven currents ranging over distances on the order of urn:x-wiley:jgrc:media:jgrc22972:jgrc22972-math-0001(100 km), compared to the traditional approach based on upstream conditions. Contrary to the traditional approach, the HWI is not affected by the advective time lag associated with the downshelf propagation of the buoyant water coming from the upstream source. However, the HWI approach requires high‐resolution data sets, as errors on the estimates of the buoyancy‐ and wind‐driven flows become large as the sampling resolution decreases. Despite being data intensive, we argue that the HWI is also applicable to multisource currents, where upstream conditions are difficult to define.en_US
dc.description.sponsorshipOcean Tracking Network (OTN) Grant Number: 375118-08; Natural Sciences and Engineering Research Council of Canada (NSERC); Canadian Foundation for Innovation Grant Number: 13011; Social Sciences and Humanities Research Council Grant Number: 871-2009-0001; University in Bergen through the POME exchange programen_US
dc.language.isoen_USen_US
dc.publisherJohn Wiley & Sonsen_US
dc.relation.urihttps://doi.org/10.1029/2017JC013338
dc.subjectCoastal currenten_US
dc.subjectUnderwater glideren_US
dc.subjectBuoyancyen_US
dc.subjectWindsen_US
dc.subjectUpwellingen_US
dc.subjectOcean tracking networken_US
dc.titleFrontal dynamics of a buoyancy‐driven coastal current : quantifying buoyancy, wind, and isopycnal tilting influence on the Nova Scotia Currenten_US
dc.typeArticleen_US
dc.description.embargo2019-01-28en_US
dc.identifier.doi10.1029/2017JC013338


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