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Disentangling the Oceanic General Circulation

ORAL

Abstract

The coupling between scales ranging from $O(10^4)$ km down to $O(1)$ mm presents a major difficulty in understanding, modeling, and predicting oceanic circulation and mixing, where our constraints on the energy budget suffer from large uncertainties. To address this problem, we are working toward mapping out a Lorenz Energy Cycle concurrently in (i) scale, (ii) space, and (iii) time. We have developed a coarse-graining framework on the sphere that is more versatile and powerful than the classical `mean-eddy' decomposition. Coarse-graining has a rigorous mathematical foundation and is closely related to well-established physics techniques, including macroscopic electromagnetism, renormalization group, and large eddy simulation. Moreover, unlike the classical decomposition, coarse-graining is consistent with the parameterization requirements of coarse-resolution climate simulations. I will focus on three applications using satellite and model data: the first measurement of the global oceanic energy spectrum, the energy cascade, and the killing of eddies by wind.

Publication: B. Storer et al. (submitted). Global Energy Spectrum of the General Oceanic Circulation.<br>S. Rai et al. (2021). Scale of Oceanic Eddy-Killing by Wind from Global Satellite Observations, Science Advances, 7(28), eabf4920 (2021). [https://doi.org/10.1126/sciadv.abf4920]<br>M. Buzzicotti et al. (2021). A Coarse-grained Decomposition of Surface Geostrophic Kinetic Energy in the Global Ocean. [https://doi.org/10.1002/essoar.10507290.1]<br>H. Aluie, (2019). Convolutions On The Sphere: Commutation With Differential Operators. GEM: International Journal on Geomathematics, Springer, 10(9), 1-31. [https://rdcu.be/bhWj8]<br>H. Aluie, M. Hecht, G. Vallis (2018). Mapping the Energy Cascade in the North Atlantic Ocean: The Coarse-graining Approach, Journal of Physical Oceanography, 48 (2), 225-244. [https://doi.org/10.1175/JPO-D-17-0100.1]<br>M. Sadek and H. Aluie (2018). Extracting the Spectrum of a Flow by Spatial Filtering, Physical Review Fluids, 3(12), 124610 (2018). [https://doi.org/10.1103/PhysRevFluids.3.124610]

Presenters

  • Hussein Aluie

    University of Rochester, Univ. of Rochester

Authors

  • Hussein Aluie

    University of Rochester, Univ. of Rochester

  • Michele Buzzicotti

    INFN-Rome, Department of Physics and INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy, University of Roma Tor Vergata & INFN

  • Stephen Griffies

    Princeton

  • Matthew Hecht

    LANL

  • Hemant Khatri

    U. Liverpool

  • Matthew Maltrud

    LANL

  • Shikhar Rai

    Univ. of Rochester

  • Mahmoud Sadek

    Cairo Univ

  • Benjamin Storer

    Univ. of Rochester

  • Geoffrey Vallis

    Univ. of Exeter