|Copyright||2017 Informa UK Limited|
|Author(s)||Resseguier Valentin1, 2, Memin E.1, Chapron Bertrand2|
|Affiliation(s)||1 : Irstea, IRMAR, Inria, Fluminance Grp, Rennes, France.
2 : IFREMER, LOPS, Plouzane, France.
|Source||Geophysical And Astrophysical Fluid Dynamics (0309-1929) (Taylor & Francis Ltd), 2017 , Vol. 111 , N. 3 , P. 149-176|
|WOS© Times Cited||7|
|Keyword(s)||Stochastic flows, uncertainty quantification, ensemble forecasts, upper ocean dynamics|
A stochastic flow representation is considered with the Eulerian velocity decomposed between a smooth large scale component and a rough small-scale turbulent component. The latter is specified as a random field uncorrelated in time. Subsequently, the material derivative is modified and leads to a stochastic version of the material derivative to include a drift correction, an inhomogeneous and anisotropic diffusion, and a multiplicative noise. As derived, this stochastic transport exhibits a remarkable energy conservation property for any realizations. As demonstrated, this pivotal operator further provides elegant means to derive stochastic formulations of classical representations of geophysical flow dynamics.
Resseguier Valentin, Memin E., Chapron Bertrand (2017). Geophysical flows under location uncertainty, Part I Random transport and general models. Geophysical And Astrophysical Fluid Dynamics, 111(3), 149-176. Publisher's official version : http://doi.org/10.1080/03091929.2017.1310210 , Open Access version : http://archimer.ifremer.fr/doc/00385/49598/