Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping
ICA 2013 MOntreal, Acoustical Oceanography Session 2aAO: Seismic Oceanography, 2-7 june 2013, Montreal, Canada.-- 7 pages, 3 figures, 1 table
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2013
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dig-icm-es-10261-1124382020-12-16T13:03:37Z Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping Buffett, Grant Hobbs, Richard W. Vsemirnova, Ekaterina Klaeschen, Dirk Hurich, Charles Ranero, César R. Sallarès, Valentí ICA 2013 MOntreal, Acoustical Oceanography Session 2aAO: Seismic Oceanography, 2-7 june 2013, Montreal, Canada.-- 7 pages, 3 figures, 1 table Processed multi-channel seismic (MCS) data acquired in the Tyrrhenian Sea in April-May 2010 provide images of oceanic thermohaline staircases. Using Stochastic Heterogeneity Mapping we characterize spatial reflector variations. This method is based on the band-limited von Kármán function. For scale sizes smaller than the correlation length, the von Kármán model describes a power law (fractal) process. We are most interested in the extraction of the exponent in the power law (The Hurst exponent) because it allows us to characterize the richness of scales present in the data set. Lower Hurst exponents represent a richer range of wavenumbers and therefore correspond to a broader range of heterogeneity in the observed seismic reflection events. The Hurst exponent is related to the fractal dimension and to the slope in the Garrett-Munk wavenumber spectrum. We interpret a richer range of heterogeneity as indicative of a greater degree of turbulent mixing. Data are presented alongside benchmark calibrations of synthetic seismic data generated from random fractal surfaces. We observe an oscillation in the Hurst exponent spectra as a function of frequency that is interpreted to represent a preferential coupling of energy across different spatial scales This research was funded by a Marie Curie Intra-European Fellowship (IEF): FP7-PEOPLE-2010-IEF. The data acquisition was funded by Spanish Plan Nacional: CTM2007-66179-C02-01/MAR and Spanish Acción Complementaria CTM2007-66179-C02-02/MAR Peer Reviewed 2015-03-17T07:46:52Z 2015-03-17T07:46:52Z 2013 2015-03-17T07:46:52Z artículo http://purl.org/coar/resource_type/c_6501 issn: 1939-800X e-issn: 1939-800X Proceedings of Meetings on Acoustics 19(1): 005013 (2013) http://hdl.handle.net/10261/112438 10.1121/1.4799057 https://doi.org/10.1121/1.4799057 none Acoustical Society of America |
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ICA 2013 MOntreal, Acoustical Oceanography Session 2aAO: Seismic Oceanography, 2-7 june 2013, Montreal, Canada.-- 7 pages, 3 figures, 1 table |
| format |
artículo |
| author |
Buffett, Grant Hobbs, Richard W. Vsemirnova, Ekaterina Klaeschen, Dirk Hurich, Charles Ranero, César R. Sallarès, Valentí |
| spellingShingle |
Buffett, Grant Hobbs, Richard W. Vsemirnova, Ekaterina Klaeschen, Dirk Hurich, Charles Ranero, César R. Sallarès, Valentí Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| author_facet |
Buffett, Grant Hobbs, Richard W. Vsemirnova, Ekaterina Klaeschen, Dirk Hurich, Charles Ranero, César R. Sallarès, Valentí |
| author_sort |
Buffett, Grant |
| title |
Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| title_short |
Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| title_full |
Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| title_fullStr |
Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| title_full_unstemmed |
Characterization of thermohaline staircases in the Tyrrhenian sea using stochastic heterogeneity mapping |
| title_sort |
characterization of thermohaline staircases in the tyrrhenian sea using stochastic heterogeneity mapping |
| publisher |
Acoustical Society of America |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10261/112438 |
| work_keys_str_mv |
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1777666241439203328 |