Issues and progress in the prediction of ocean submesoscale features and internal waves
Name
Lermusiaux_Issues and progress.pdf
Size
2.54 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Duda, Timothy F.
Zhang, Weifeng Gordon
Helfrich, Karl R.
Newhall, Arthur E.
Lin, Ying-Tsong
Lynch, James F.
Wilkin, John
Lermusiaux, Pierre F. J.
Haley, Patrick
Date Issued
September 2014
Journal
Proceedings of the 2014 Oceans - St. John's
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Duda, Timothy F., Weifeng Gordon Zhang, Karl R. Helfrich, Arthur E. Newhall, Ying-Tsong Lin, James F. Lynch, Pierre F. J. Lermusiaux, P. J. Haley, and John Wilkin. “Issues and Progress in the Prediction of Ocean Submesoscale Features and Internal Waves.” 2014 Oceans - St. John’s (September 2014).
Version
Author's final manuscript
Abstract
Data-constrained dynamical ocean modeling for the purpose of detailed forecasting and prediction continues to evolve and improve in quality. Modeling methods and computational capabilities have each improved. The result is that mesoscale phenomena can be modeled with skill, given sufficient data. However, many submesoscale features are less well modeled and remain largely unpredicted from a deterministic event standpoint, and possibly also from a statistical property standpoint. A multi-institution project is underway with goals of uncovering more of the details of a few submesoscale processes, working toward better predictions of their occurrence and their variability. A further component of our project is application of the new ocean models to ocean acoustic modeling and prediction. This paper focuses on one portion of the ongoing work: Efforts to link nonhydrostatic-physics models of continental-shelf nonlinear internal wave evolution to data-driven regional models. Ocean front-related effects are also touched on.
MIT Department
Massachusetts Institute of Technology. Center for Ocean Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/OCEANS.2014.7003282
