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Communication Dans Un Congrès Année : 2021

Stochastic modeling of the oceanic mesoscale eddies

Résumé

<p>In this work, a stochastic representation [Bauer2020a, Bauer2020b] based on a physical transport principle is proposed to account for mesoscale eddy effects on the the large-scale oceanic circulation. This stochastic framework [M&#233;min2014] arises from a decomposition of the Lagrangian velocity into a time-smooth component and a highly oscillating noise term. One important characteristic of this random model is that it conserves the energy of any transported tracer. Such an energy-preserving representation has been successfully implemented in a well established multi-layered quasi-geostrophic dynamical core (http://www.q-gcm.org). The empirical spatial correlation of the small-scale noise is estimated from the eddy-resolving simulation data. In particular, a sub-grid correction drift has been introduced in the noise due to the bias ensuing from the coarse-grained procedure. This non intuitive term seems quite important in reproducing on a coarse mesh the meandering jet of the wind-driven double-gyre circulation. In addition, a new projection method has been proposed to constrain the noise living along the iso-surfaces of the vertical stratification. The resulting noise enables us to improve the intrinsic low-frequency variability of the large-scale current. From some statistical studies and energy transfers analysis, this improvement is well demonstrated.</p><ul><li><span>[</span>Bauer2020a] W. Bauer, P. Chandramouli, B. Chapron, L. Li, and E. M&#233;min. Deciphering the role&#160;of small-scale inhomogeneity on geophysical flow structuration: a stochastic approach. Journal of Physical Oceanography, 50(4):983-1003, 2020a.<span>&#160; &#160; &#160; &#160;</span></li> <li><span>[</span>Bauer2020b] W. Bauer, P. Chandramouli, L. Li, and E. M&#233;min. Stochastic representation of mesoscale&#160;eddy effects in coarse-resolution barotropic models. Ocean Modelling, 151:101646 (2020b). <span>&#160; &#160;</span></li> <li>[M&#233;min2014] E. M&#233;min. Fluid flow dynamics under location uncertainty. Geophysical & Astrophysical Fluid Dynamics, 108(2):119-146, 2014.<span>&#160; &#160; &#160;</span></li> </ul>
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Dates et versions

hal-03140513 , version 1 (15-02-2021)

Identifiants

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Long Li, Bruno Deremble, Noé Lahaye, Etienne Mémin. Stochastic modeling of the oceanic mesoscale eddies. STUOD 2021 - 6th Sandbox Stochastic Transport in Upper Ocean Dynamics Workshop, Feb 2021, London, United Kingdom. pp.1-24, ⟨10.5194/egusphere-egu21-15010⟩. ⟨hal-03140513⟩
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