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CLC number: TP391
On-line Access: 2018-10-05
Received: 2017-11-29
Revision Accepted: 2018-03-16
Crosschecked: 2018-08-09
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Effect of wind stress forcing on ocean dynamics at air-sea interface
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Hussein Yahia, Veronique Garçon, Joel Sudre, Christophe Maes. Effect of wind stress forcing on ocean dynamics at air-sea interface[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(8): 1056-1062.
@article{title="Effect of wind stress forcing on ocean dynamics at air-sea interface",
author="Hussein Yahia, Veronique Garçon, Joel Sudre, Christophe Maes",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="19",
number="8",
pages="1056-1062",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700797"
}
%0 Journal Article
%T Effect of wind stress forcing on ocean dynamics at air-sea interface
%A Hussein Yahia
%A Veronique Garçon
%A Joel Sudre
%A Christophe Maes
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 8
%P 1056-1062
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700797
TY - JOUR
T1 - Effect of wind stress forcing on ocean dynamics at air-sea interface
A1 - Hussein Yahia
A1 - Veronique Garçon
A1 - Joel Sudre
A1 - Christophe Maes
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 8
SP - 1056
EP - 1062
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700797
Abstract: We evidence and study the differences in turbulence statistics in ocean dynamics carried by wind forcing at the air-sea interface. Surface currents at the air-sea interaction are of crucial importance because they transport heat from low to high latitudes. At first order, oceanic currents are generated by the balance of the Coriolis and pressure gradient forces (geostrophic current) and the balance of the Coriolis and the frictional forces dominated by wind stress (Ekman current) in the surface ocean layers. The study was conducted by computing statistical moments on the shapes of spectra computed within the framework of microcanonical multi-fractal formalism. Remotely sensed daily datasets derived from one year of altimetry and wind data were used in this study, allowing for the computation of two kinds of vector fields: geostrophy with and geostrophy without wind stress forcing. We explore the statistical properties of singularity spectra computed from velocity norms and vorticity data, notably in relation with kurtosis information to underline the differences in the turbulent regimes associated with both kinds of velocity fields.
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