Estimating Suppression of Eddy Mixing by Mean Flows
Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface height measurements from the South Pacific, in a region west of Drake Passage....
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American Meteorological Society
2011
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ftmit:oai:dspace.mit.edu:1721.1/78643 2023-06-11T04:04:34+02:00 Estimating Suppression of Eddy Mixing by Mean Flows Klocker, Andreas Ferrari, Raffaele LaCasce, Joseph H. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Klocker, Andreas Ferrari, Raffaele 2011-11 application/pdf http://hdl.handle.net/1721.1/78643 en_US eng American Meteorological Society http://dx.doi.org/10.1175/jpo-d-11-0205.1 Journal of Physical Oceanography 0022-3670 1520-0485 http://hdl.handle.net/1721.1/78643 Klocker, Andreas, Raffaele Ferrari, and Joseph H. LaCasce. “Estimating Suppression of Eddy Mixing by Mean Flows.” Journal of Physical Oceanography 42.9 (2012): 1566–1576. ©2013 American Meteorological Society orcid:0000-0002-3736-1956 orcid:0000-0002-2038-7922 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Meteorological Society Article http://purl.org/eprint/type/JournalArticle 2011 ftmit https://doi.org/10.1175/jpo-d-11-0205.1 2023-05-29T08:45:46Z Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface height measurements from the South Pacific, in a region west of Drake Passage. This velocity field has been used in a companion paper to show that both particle- and tracer-based estimates of eddy diffusivities are equivalent, despite recent claims to the contrary. These estimates of eddy diffusivities are here analyzed to show 1) that the degree of suppression of mixing across the strong Antarctic Circumpolar Current is correctly predicted by mixing length theory modified to include eddy propagation along the mean flow and 2) that the suppression can be inferred from particle trajectories by studying the structure of the autocorrelation function of the particle velocities beyond the first zero crossing. These results are then used to discuss how to compute lateral and vertical variations in eddy diffusivities using floats and drifters in the real ocean. National Science Foundation (U.S.) (Award OCE-0825376) Article in Journal/Newspaper Antarc* Antarctic Drake Passage DSpace@MIT (Massachusetts Institute of Technology) Antarctic Drake Passage Pacific Journal of Physical Oceanography 42 9 1566 1576 |
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Open Polar |
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DSpace@MIT (Massachusetts Institute of Technology) |
op_collection_id |
ftmit |
language |
English |
description |
Particle- and tracer-based estimates of lateral diffusivities are used to estimate the suppression of eddy mixing across strong currents. Particles and tracers are advected using a velocity field derived from sea surface height measurements from the South Pacific, in a region west of Drake Passage. This velocity field has been used in a companion paper to show that both particle- and tracer-based estimates of eddy diffusivities are equivalent, despite recent claims to the contrary. These estimates of eddy diffusivities are here analyzed to show 1) that the degree of suppression of mixing across the strong Antarctic Circumpolar Current is correctly predicted by mixing length theory modified to include eddy propagation along the mean flow and 2) that the suppression can be inferred from particle trajectories by studying the structure of the autocorrelation function of the particle velocities beyond the first zero crossing. These results are then used to discuss how to compute lateral and vertical variations in eddy diffusivities using floats and drifters in the real ocean. National Science Foundation (U.S.) (Award OCE-0825376) |
author2 |
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Klocker, Andreas Ferrari, Raffaele |
format |
Article in Journal/Newspaper |
author |
Klocker, Andreas Ferrari, Raffaele LaCasce, Joseph H. |
spellingShingle |
Klocker, Andreas Ferrari, Raffaele LaCasce, Joseph H. Estimating Suppression of Eddy Mixing by Mean Flows |
author_facet |
Klocker, Andreas Ferrari, Raffaele LaCasce, Joseph H. |
author_sort |
Klocker, Andreas |
title |
Estimating Suppression of Eddy Mixing by Mean Flows |
title_short |
Estimating Suppression of Eddy Mixing by Mean Flows |
title_full |
Estimating Suppression of Eddy Mixing by Mean Flows |
title_fullStr |
Estimating Suppression of Eddy Mixing by Mean Flows |
title_full_unstemmed |
Estimating Suppression of Eddy Mixing by Mean Flows |
title_sort |
estimating suppression of eddy mixing by mean flows |
publisher |
American Meteorological Society |
publishDate |
2011 |
url |
http://hdl.handle.net/1721.1/78643 |
geographic |
Antarctic Drake Passage Pacific |
geographic_facet |
Antarctic Drake Passage Pacific |
genre |
Antarc* Antarctic Drake Passage |
genre_facet |
Antarc* Antarctic Drake Passage |
op_source |
American Meteorological Society |
op_relation |
http://dx.doi.org/10.1175/jpo-d-11-0205.1 Journal of Physical Oceanography 0022-3670 1520-0485 http://hdl.handle.net/1721.1/78643 Klocker, Andreas, Raffaele Ferrari, and Joseph H. LaCasce. “Estimating Suppression of Eddy Mixing by Mean Flows.” Journal of Physical Oceanography 42.9 (2012): 1566–1576. ©2013 American Meteorological Society orcid:0000-0002-3736-1956 orcid:0000-0002-2038-7922 |
op_rights |
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. |
op_doi |
https://doi.org/10.1175/jpo-d-11-0205.1 |
container_title |
Journal of Physical Oceanography |
container_volume |
42 |
container_issue |
9 |
container_start_page |
1566 |
op_container_end_page |
1576 |
_version_ |
1768388838043942912 |