Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies

dc.contributor.author Savage, Anna C.
dc.contributor.author Arbic, Brian K.
dc.contributor.author Richman, James G.
dc.contributor.author Shriver, Jay F.
dc.contributor.author Alford, Matthew H.
dc.contributor.author Buijsman, Maarten C.
dc.contributor.author Farrar, J. Thomas
dc.contributor.author Sharma, Hari
dc.contributor.author Voet, Gunnar
dc.contributor.author Wallcraft, Alan J.
dc.contributor.author Zamudio, Luis
dc.date.accessioned 2017-06-01T14:13:25Z
dc.date.available 2017-09-28T08:26:38Z
dc.date.issued 2017-03-28
dc.description Author Posting. © American Geophysical Union, 2017. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 122 (2017): 2519–2538, doi:10.1002/2016JC012331. en_US
dc.description.abstract High horizontal-resolution (1=12:5° and 1=25°) 41-layer global simulations of the HYbrid Coordinate Ocean Model (HYCOM), forced by both atmospheric fields and the astronomical tidal potential, are used to construct global maps of sea surface height (SSH) variability. The HYCOM output is separated into steric and nonsteric and into subtidal, diurnal, semidiurnal, and supertidal frequency bands. The model SSH output is compared to two data sets that offer some geographical coverage and that also cover a wide range of frequencies—a set of 351 tide gauges that measure full SSH and a set of 14 in situ vertical profilers from which steric SSH can be calculated. Three of the global maps are of interest in planning for the upcoming Surface Water and Ocean Topography (SWOT) two-dimensional swath altimeter mission: (1) maps of the total and (2) nonstationary internal tidal signal (the latter calculated after removing the stationary internal tidal signal via harmonic analysis), with an average variance of 1:05 and 0:43 cm2, respectively, for the semidiurnal band, and (3) a map of the steric supertidal contributions, which are dominated by the internal gravity wave continuum, with an average variance of 0:15 cm2. Stationary internal tides (which are predictable), nonstationary internal tides (which will be harder to predict), and nontidal internal gravity waves (which will be very difficult to predict) may all be important sources of high-frequency ‘‘noise’’ that could mask lower frequency phenomena in SSH measurements made by the SWOT mission. en_US
dc.description.embargo 2017-09-28 en_US
dc.description.sponsorship Office of Naval Research Grant Numbers: N00014-11-1-0487 , N00014-15-1-2288; NASA Earth and Space Science Grant Number: NNX16AO23H; University of Michigan; National Aeronautics and Space Administration Grant Numbers: NNX13AD95Q , NNX16AH79G; National Science Foundation Grant Number: OCE-1351837; National Aeronautics and Space Administration Grant Numbers: NNX13AE32G , NNX16AH76G , NNX13AE46G en_US
dc.identifier.citation Journal of Geophysical Research: Oceans 122 (2017): 2519–2538 en_US
dc.identifier.doi 10.1002/2016JC012331
dc.identifier.uri https://hdl.handle.net/1912/9006
dc.language.iso en_US en_US
dc.publisher John Wiley & Sons en_US
dc.relation.uri https://doi.org/10.1002/2016JC012331
dc.subject Internal gravity waves en_US
dc.subject Internal tides en_US
dc.subject Spectral density en_US
dc.title Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies en_US
dc.type Article en_US
dspace.entity.type Publication
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