| dc.contributor.author | McClean, Julie L. | |
| dc.contributor.author | Mahadevan, Amala | |
| dc.contributor.author | Flierl, Glenn Richard | |
| dc.contributor.author | Wang, Jinbo, Ph. D. Massachusetts Institute of Technology | |
| dc.contributor.author | LaCasce, Joseph H., 1964- | |
| dc.date.accessioned | 2014-06-13T19:13:11Z | |
| dc.date.available | 2014-06-13T19:13:11Z | |
| dc.date.issued | 2013-08 | |
| dc.date.submitted | 2013-03 | |
| dc.identifier.issn | 0022-3670 | |
| dc.identifier.issn | 1520-0485 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/87786 | |
| dc.description.abstract | A new method is proposed for extrapolating subsurface velocity and density fields from sea surface density and sea surface height (SSH). In this, the surface density is linked to the subsurface fields via the surface quasigeostrophic (SQG) formalism, as proposed in several recent papers. The subsurface field is augmented by the addition of the barotropic and first baroclinic modes, whose amplitudes are determined by matching to the sea surface height (pressure), after subtracting the SQG contribution. An additional constraint is that the bottom pressure anomaly vanishes. The method is tested for three regions in the North Atlantic using data from a high-resolution numerical simulation. The decomposition yields strikingly realistic subsurface fields. It is particularly successful in energetic regions like the Gulf Stream extension and at high latitudes where the mixed layer is deep, but it also works in less energetic eastern subtropics. The demonstration highlights the possibility of reconstructing three-dimensional oceanic flows using a combination of satellite fields, for example, sea surface temperature (SST) and SSH, and sparse (or climatological) estimates of the regional depth-resolved density. The method could be further elaborated to integrate additional subsurface information, such as mooring measurements. | en_US |
| dc.description.sponsorship | United States. National Aeronautics and Space Administration (NNX12AD47G) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (OCE 0928617) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (OCE-0752346) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | American Meteorological Society | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1175/jpo-d-12-0204.1 | en_US |
| dc.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. | en_US |
| dc.source | American Meteorological Society | en_US |
| dc.title | Reconstructing the Ocean's Interior from Surface Data | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Wang, Jinbo, Glenn R. Flierl, Joseph H. LaCasce, Julie L. McClean, and Amala Mahadevan. “Reconstructing the Ocean’s Interior from Surface Data.” J. Phys. Oceanogr. 43, no. 8 (August 2013): 1611–1626. © 2013 American Meteorological Society | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences | en_US |
| dc.contributor.mitauthor | Flierl, Glenn Richard | en_US |
| dc.contributor.mitauthor | Mahadevan, Amala | en_US |
| dc.relation.journal | Journal of Physical Oceanography | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Wang, Jinbo; Flierl, Glenn R.; LaCasce, Joseph H.; McClean, Julie L.; Mahadevan, Amala | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0003-3589-5249 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-7522-4100 | |
| mit.license | PUBLISHER_POLICY | en_US |
| mit.metadata.status | Complete | |