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Estimating internal wave spectra using constrained models of the dynamic ocean
Author(s) -
Vsemirnova E.,
Hobbs R.,
Serra N.,
Klaeschen D.,
Quentel E.
Publication year - 2009
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2009gl039598
Subject(s) - interpolation (computer graphics) , geology , spectral line , temporal resolution , image resolution , resolution (logic) , wavenumber , calibration , remote sensing , geodesy , geophysics , seismology , computer science , image (mathematics) , physics , optics , artificial intelligence , quantum mechanics , astronomy
Multi‐Channel Seismic method (MCS), with its ability to image events down to a lateral resolution of 10 m has been successfully applied to address questions in physical oceanography. However, to date, these analyses have overlooked an important detail; the imaged boundaries are dynamic and move on a timescale that can be resolved by the MCS method. An important step in understanding the effect of the movement is calibration against constrained models. We demonstrate in this paper that it is possible using careful interpolation to take high resolution models of dynamic water (160 m × 2 m spatial resolution and 15 min temporal resolution) and generate models for synthetic seismic simulations (20 m × 4 m spatial resolution and 20 sec temporal resolution). We show that moving water, when ignored, will distort analyses of wavenumber spectra estimated from seismic data since the relative movement of water masses and the seismic acquisition vessel will change the apparent slope of spectra.