4.3 Article

The role of remote wind forcing in the subinertial current variability in the central and northern parts of the South Brazil Bight

期刊

OCEAN DYNAMICS
卷 68, 期 6, 页码 677-688

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10236-018-1153-9

关键词

Sao Paulo; Continental shelf; Remote wind; Continental shelf waves

资金

  1. FAPESP (Fundacao de Apoio a Pesquisa do Estado de Sao Paulo) [2010/05124-1, 2008/58101-9]
  2. CNPq

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Data analysis of continental shelf currents and coastal sea level, together with the application of a semi-analytical model, are used to estimate the importance of remote wind forcing on the subinertial variability of the current in the central and northern areas of the South Brazil Bight. Results from both the data analysis and from the semi-analytical model are robust in showing subinertial variability that propagates along-shelf leaving the coast to the left in accordance with theoretical studies of Continental Shelf Waves (CSW). Both the subinertial variability observed in along-shelf currents and sea level oscillations present different propagation speeds for the narrow northern part of the SBB (similar to 6-7 m/s) and the wide central SBB region (similar to 11 m/s), those estimates being in agreement with the modeled CSW propagation speed. On the inner and middle shelf, observed along-shelf subinertial currents show higher correlation coefficients with the winds located southward and earlier in time than with the local wind at the current meter mooring position and at the time of measurement. The inclusion of the remote (located southwestward) wind forcing improves the prediction of the subinertial currents when compared to the currents forced only by the local wind, since the along-shelf-modeled currents present correlation coefficients with observed along-shelf currents up to 20% higher on the inner and middle shelf when the remote wind is included. For most of the outer shelf, on the other hand, this is not observed since usually, the correlation between the currents and the synoptic winds is not statistically significant.

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