%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Bourras, D.
%A Cambra, R.
%A Marié, L.
%A Bouin, M.N.
%A Baggio, L.
%A Branger, H.
%A Beghoura, G.
%A Reverdin, G.
%A Dewitte, Boris
%A Paulmier, Aurélien
%A Maes, Christophe
%A Ardhuin, F.
%A Pairaud, I.
%A Fraunié, P.
%A Luneau, C.
%A Hauser, D.
%T Air-sea turbulent fluxes from a wave-following paltform during six experiments at sea
%D 2019
%L fdi:010076311
%G ENG
%J Journal of Geophysical Research : Oceans
%@ 2169-9275
%K ATLANTIQUE
%K IROISE MER
%M ISI:000477722200047
%N 6
%P 4290-4321
%R 10.1029/2018JC014803
%U https://www.documentation.ird.fr/hor/fdi:010076311
%> https://www.documentation.ird.fr/intranet/publi/depot/2019-07-17/010076311.pdf
%V 124
%W Horizon (IRD)
%X Turbulent fluxes at the air-sea interface are estimated with data collected in 2011 to 2017 with a low-profile platform during six experiments in four regions. The observations were carried out with moderate winds (2-10 m/s) and averaged wave heights of 1.5 m. Most of the time, there was a swell, with an averaged wave age (the ratio between wave phase speed and wind speed) being equal to 2.8 ± 1.6. Three flux calculation methods are used, namely, the eddy covariance (EC), the inertial dissipation (ID), and the bulk methods. For the EC method, a spectral technique is proposed to correct wind data from platform motion. A mean bias affecting the friction velocity (u*) is then evaluated. The comparison between EC u* and ID u* estimates suggests that a constant imbalance term (ϕimb) equal to 0.4 is required in the ID method, possibly due to wave influence on our data. Overall, the confidence in the calculated u* estimates is found to be on the order of 10%. The values of the drag coefficient (CD) are in good agreement with the parameterizations of Smith (1988, https://doi.org/10.1029/JC093iC12p15467) in medium-range winds and of Edson et al. (2013, https://doi.org/10.1175/JPO-D-12-0173.1) in light winds. According to our data, the inverse wave age varies linearly with wind speed, as in Edson et al. (2013, https://doi.org/10.1175/JPO-D-12-0173.1), but our estimates of the Charnock coefficient do not increase with wind speed, which is possibly related to sampling swell-dominated seas. We find that the Stanton number is independent from wind speed.
%$ 032