Acoustic tomography in the Greenland Sea

A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea to...

Full description

Bibliographic Details
Main Author: Joseph, John E.
Other Authors: Chiu, Ching-Sang, Nystuen, Jeffrey A., Naval Postgraduate School, Oceanography
Format: Thesis
Language:English
Published: Monterey, California. Naval Postgraduate School 1991
Subjects:
Online Access:https://hdl.handle.net/10945/26343
id ftnavalpschool:oai:calhoun.nps.edu:10945/26343
record_format openpolar
spelling ftnavalpschool:oai:calhoun.nps.edu:10945/26343 2024-06-09T07:46:19+00:00 Acoustic tomography in the Greenland Sea Joseph, John E. Chiu, Ching-Sang Nystuen, Jeffrey A. Naval Postgraduate School Oceanography 1991-06 55 p. application/pdf https://hdl.handle.net/10945/26343 en_US eng Monterey, California. Naval Postgraduate School https://hdl.handle.net/10945/26343 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Acoustic tomography Ocean acoustics Thesis 1991 ftnavalpschool 2024-05-15T00:53:53Z A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea tomography data. A computer simulated ocean is used to evaluate various aspects of system performance. We first consider the advantages and problems associated with using a ray theory based algorithm. Next, we made two adjustments to our inversion code and discuss the effects on system performance. The first adjustment allows for layers of different thicknesses in the inverse solution to increase the density of estimates in regions of interest. The second adjustment allows the estimator to expect variability of the unknown field to decrease exponentially with depth. The ray theory based algorithm is an adequate method of modeling ray paths in the Greenland Sea, but has limitations. Reliability of ray paths degrades as launch angles become shallower and if strong gradients and rapidly changing gradients in sound speed are present in the vicinity of the transceiver elements. A set of Greenland Sea data between one transceiver pair was processed. Although only three groups of eigenrays are involved, initial inversion results indicate the estimator detects seasonal variations and synoptic scale events occurring at time scales greater than 20 days, however, solutions show wide fluctuations at shorter times. Approved for public release; distribution is unlimited. Lieutenant, United States Navy http://archive.org/details/acoustictomograp00jose Thesis Greenland Greenland Sea Naval Postgraduate School: Calhoun Greenland
institution Open Polar
collection Naval Postgraduate School: Calhoun
op_collection_id ftnavalpschool
language English
topic Acoustic tomography
Ocean acoustics
spellingShingle Acoustic tomography
Ocean acoustics
Joseph, John E.
Acoustic tomography in the Greenland Sea
topic_facet Acoustic tomography
Ocean acoustics
description A six transceiver ocean acoustic tomography array was deployed to monitor ocean ventilation and circulation over the 1988-89 winter cooling season. A stochastic inverse method computer code which attains a solution by minimizing mean square error is used to perform inversions of the Greenland Sea tomography data. A computer simulated ocean is used to evaluate various aspects of system performance. We first consider the advantages and problems associated with using a ray theory based algorithm. Next, we made two adjustments to our inversion code and discuss the effects on system performance. The first adjustment allows for layers of different thicknesses in the inverse solution to increase the density of estimates in regions of interest. The second adjustment allows the estimator to expect variability of the unknown field to decrease exponentially with depth. The ray theory based algorithm is an adequate method of modeling ray paths in the Greenland Sea, but has limitations. Reliability of ray paths degrades as launch angles become shallower and if strong gradients and rapidly changing gradients in sound speed are present in the vicinity of the transceiver elements. A set of Greenland Sea data between one transceiver pair was processed. Although only three groups of eigenrays are involved, initial inversion results indicate the estimator detects seasonal variations and synoptic scale events occurring at time scales greater than 20 days, however, solutions show wide fluctuations at shorter times. Approved for public release; distribution is unlimited. Lieutenant, United States Navy http://archive.org/details/acoustictomograp00jose
author2 Chiu, Ching-Sang
Nystuen, Jeffrey A.
Naval Postgraduate School
Oceanography
format Thesis
author Joseph, John E.
author_facet Joseph, John E.
author_sort Joseph, John E.
title Acoustic tomography in the Greenland Sea
title_short Acoustic tomography in the Greenland Sea
title_full Acoustic tomography in the Greenland Sea
title_fullStr Acoustic tomography in the Greenland Sea
title_full_unstemmed Acoustic tomography in the Greenland Sea
title_sort acoustic tomography in the greenland sea
publisher Monterey, California. Naval Postgraduate School
publishDate 1991
url https://hdl.handle.net/10945/26343
geographic Greenland
geographic_facet Greenland
genre Greenland
Greenland Sea
genre_facet Greenland
Greenland Sea
op_relation https://hdl.handle.net/10945/26343
op_rights This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
_version_ 1801376116677541888