Issues and progress in the prediction of ocean submesoscale features and internal waves
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. Ho...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/97591 https://orcid.org/0000-0002-1869-3883 |
| _version_ | 1826197592358256640 |
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| author | 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 |
| author2 | Massachusetts Institute of Technology. Center for Ocean Engineering |
| author_facet | Massachusetts Institute of Technology. Center for Ocean Engineering 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 |
| author_sort | Duda, Timothy F. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:50:19Z |
| format | Article |
| id | mit-1721.1/97591 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:50:19Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/975912022-09-27T15:20:06Z Issues and progress in the prediction of ocean submesoscale features and internal waves 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 Massachusetts Institute of Technology. Center for Ocean Engineering Massachusetts Institute of Technology. Department of Mechanical Engineering Lermusiaux, Pierre F. J. Haley, Patrick 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. United States. Office of Naval Research (United States. Dept. of Defense. Multidisciplinary University Research Initiative (Ocean Acoustics Program Award N00014-11-1-0701)) United States. Office of Naval Research (Grant N00014-12-1-0944) National Science Foundation (U.S.) (Grant OCE-1061160) 2015-06-30T17:46:21Z 2015-06-30T17:46:21Z 2014-09 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-4918-2 978-1-4799-4920-5 978-1-4799-4919-9 http://hdl.handle.net/1721.1/97591 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). https://orcid.org/0000-0002-1869-3883 en_US http://dx.doi.org/10.1109/OCEANS.2014.7003282 Proceedings of the 2014 Oceans - St. John's Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | 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 Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title | Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title_full | Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title_fullStr | Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title_full_unstemmed | Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title_short | Issues and progress in the prediction of ocean submesoscale features and internal waves |
| title_sort | issues and progress in the prediction of ocean submesoscale features and internal waves |
| url | http://hdl.handle.net/1721.1/97591 https://orcid.org/0000-0002-1869-3883 |
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