Articles | Volume 28, issue 3
https://doi.org/10.5194/npg-28-371-2021
https://doi.org/10.5194/npg-28-371-2021
Research article
 | 
04 Aug 2021
Research article |  | 04 Aug 2021

Empirical evidence of a fluctuation theorem for the wind mechanical power input into the ocean

Achim Wirth and Bertrand Chapron

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Revised manuscript not accepted
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Cited articles

Bentamy, A., Grodsky, S. A., Elyouncha, A., Chapron, B., and Desbiolles, F.: Homogenization of scatterometer wind retrievals, Int. J. Climatol., 37, 870–889, 2017. a
Bentamy, A., Piollé, J. F., and Prevos, C.: Global Ocean Wind L4 Reprocessed 6 hourly Observations, CMEMS [data set], available at: https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=WIND_GLO_WIND_L4_REP_OBSERVATIONS_012_006, last access: 1 May 2019. a
Bernie, D., Guilyardi, E., Madec, G., Slingo, J., and Woolnough, S.: Impact of resolving the diurnal cycle in an ocean–atmosphere GCM. Part 1: A diurnally forced OGCM, Clim. Dynam., 29, 575–590, 2007. a
Boffetta, G. and Ecke, R. E.: Two-dimensional turbulence, Annu. Rev. Fluid Mech., 44, 427–451, 2012. a
Bonjean, F. and Lagerloef, G. S.: Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean, J. Phys. Oceanogr., 32, 2938–2954, 2002. a
Short summary
In non-equilibrium statistical mechanics, which describes forced-dissipative systems such as air–sea interaction, there is no universal probability density function (pdf). Some such systems have recently been demonstrated to exhibit a symmetry called a fluctuation theorem (FT), which strongly constrains the shape of the pdf. Using satellite data, the mechanical power input to the ocean by air–sea interaction following or not a FT is questioned. A FT is found to apply over specific ocean regions.