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Altimetry-Based Diagnosis of Deep-Reaching Sub-Mesoscale Ocean Fronts

Siegelman, Lia and Klein, Patrice and Thompson, Andrew F. and Torres, Hector S. and Menemenlis, Dimitris (2020) Altimetry-Based Diagnosis of Deep-Reaching Sub-Mesoscale Ocean Fronts. Fluids, 5 (3). Art. No. 145. ISSN 2311-5521. https://resolver.caltech.edu/CaltechAUTHORS:20200831-140539145

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Abstract

Recent studies demonstrate that energetic sub-mesoscale fronts (10–50 km width) extend in the ocean interior, driving large vertical velocities and associated fluxes. However, diagnosing the dynamics of these deep-reaching fronts from in situ observations remains challenging because of the lack of information on the 3-D structure of the horizontal velocity. Here, a realistic numerical simulation in the Antarctic Circumpolar Current (ACC) is used to study the dynamics of submesocale fronts in relation to velocity gradients, responsible for the formation of these fronts. Results highlight that the stirring properties of the flow at depth, which are related to the velocity gradients, can be inferred from finite-size Lyapunov exponent (FSLE) at the surface. Satellite altimetry observations of FSLE and velocity gradients are then used in combination with recent in situ observations collected by an elephant seal in the ACC to reconstruct frontal dynamics and their associated vertical velocities down to 500 m. The approach proposed here is well suited for the analysis of sub-mesoscale-resolving datasets and the design of future sub-mesoscale field campaigns.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.3390/fluids5030145DOIArticle
ORCID:
AuthorORCID
Siegelman, Lia0000-0003-3330-082X
Thompson, Andrew F.0000-0003-0322-4811
Torres, Hector S.0000-0003-2098-8012
Menemenlis, Dimitris0000-0001-9940-8409
Additional Information:© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Received: 10 August 2020; Accepted: 25 August 2020; Published: 28 August 2020. High-end computing resources for the numerical simulation were provided by the NASA Advanced Supercomputing (NAS) Division at the Ames Research Center. Thanks to Christopher Henze at NASA Ames Hyperwall and MITgcm developers and NAS scientists that made available the model outputs. This work was supported by the CNES-TOSCA project Elephant seals as Oceanographic Samplers of sub-mesoscale features led by C. Guinet with support of the French Polar Institute (Programs 109 and 1201). Thanks to Fabien Roquet and Baptiste Picard that made available the seal’s data. L.S., H.T. and D.M. carried research at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA with support from the Physical Oceanography (PO) and Modeling, Analysis, and Prediction (MAP) Programs. L.S. is a NASA-JVSRP affiliate and is supported by a Caltech-JPL postdoctoral fellowship. P.K. is supported by a NASA NPP Senior Fellowship and by the SWOT and S-Mode projects. A.F.T. is supported by the David and Lucille Packard Foundation and NASA grant NNX16AG42G. Author Contributions: Methodology, L.S. and P.K.; formal analysis, L.S., P.K.; writing—original draft preparation, L.S., P.K. and A.F.T.; writing—review and editing, L.S., P.K., A.F.T., H.S.T., D.M.; numerical simulation, D.M., H.S.T. All authors have read and agreed to the published version of the manuscript. The authors declare no conflict of interest.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
David and Lucile Packard FoundationUNSPECIFIED
NASANNX16AG42G
Subject Keywords:altimetry; finite-size Lyapunov exponent; ocean dynamics; sub-mesoscale
Issue or Number:3
Record Number:CaltechAUTHORS:20200831-140539145
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200831-140539145
Official Citation:Altimetry-Based Diagnosis of Deep-Reaching Sub-Mesoscale Ocean Fronts. Fluids 2020, 5, 145; doi:10.3390/fluids5030145
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105177
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 Sep 2020 19:11
Last Modified:08 Sep 2020 19:11

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