Published September 2016 | Version Published
Journal Article Open

On the Minimum Potential Energy State and the Eddy Size–Constrained APE Density

  • 1. ROR icon California Institute of Technology

Abstract

Exactly solving the absolute minimum potential energy state (Lorenz reference state) is a difficult problem because of the nonlinear nature of the equation of state of seawater. This problem has been solved recently but the algorithm comes at a high computational cost. As the first part of this study, the authors develop an algorithm that is ~10^3–10^5 times faster, making it useful for energy diagnosis in ocean models. The second part of this study shows that the global patterns of Lorenz available potential energy (APE) density are distinct from those of eddy kinetic energy (EKE). This is because the Lorenz APE density is based on the entire domainwide parcel rearrangement, while mesoscale eddies, if related to baroclinic instability, are typically generated through local parcel rearrangement approximately around the eddy size. Inspired by this contrast, this study develops a locally defined APE framework: the eddy size–constrained APE density based on the strong constraint that the parcel rearrangement/displacement to achieve the minimum potential energy state should not exceed the local eddy size horizontally. This concept typically identifies baroclinically unstable regions. It is shown to be helpful to detect individual eddies/vortices and local EKE patterns, for example, around the Southern Ocean fronts and subtropical western boundary currents. This is consistent with the physical picture that mesoscale eddies are associated with a strong signature in both the velocity field (i.e., EKE) and the stratification (i.e., local APE). The new APE concept may be useful in parameterizing mesoscale eddies in ocean models.

Additional Information

© 2016 American Meteorological Society. Manuscript received 26 March 2016, in final form 2 June 2016. Z.S.'s and A.P.I.'s research was supported by NSF Award AST-1109299. We thank Andrew Thompson and Patrice Klein for useful comments. Sincere thanks go to Andrew Stewart for some constructive discussions. We gratefully acknowledge the helpful comments from two anonymous reviewers. We thank Dimitris Menemenlis for providing the ECCO2 data.

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Identifiers

Eprint ID
71308
Resolver ID
CaltechAUTHORS:20161020-080826201

Funding

NSF
AST-1109299

Dates

Created
2016-10-20
Created from EPrint's datestamp field
Updated
2021-11-11
Created from EPrint's last_modified field

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