ERA

Download the full-sized PDF of Modal decomposition of tidally-forced internal waves (reconstructed from timeseries data)Download the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R3K653

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Modal decomposition of tidally-forced internal waves (reconstructed from timeseries data) Open Access

Descriptions

Other title
Subject/Keyword
Modal decomposition
Varying stratification
Internal waves
Multiple forcing frequencies
Linear stratification
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Kaminski, Alexis K.
Supervisor and department
Flynn, Morris (Mechanical Engineering)
Examining committee member and department
Koch, Bob (Mechanical Engineering)
Swaters, Gordon E. (Mathematical and Statistical Sciences)
Department
Department of Mechanical Engineering
Specialization

Date accepted
2012-08-07T11:23:24Z
Graduation date
2012-11
Degree
Master of Science
Degree level
Master's
Abstract
An algorithm is presented that disentangles the temporal and spatial structure of polychromatic internal wave fields generated through tidal conversion without a-priori knowledge of the topographic details. This spatial structure is relevant in estimating the location of ocean mixing. Using the (J+1) forcing frequencies associated with the wave field, a 2(J +1)×2(J +1) system is solved yielding, mode-by-mode, the frequency-specific mode strengths γjn or normalized mode strength ratios γjn/|γj1|, where j = 0, . . . , J. Both linear and nonlinear stratifications are considered. Synthetic data at laboratory and oceanographic length scales are used for verification. Excellent agreement is seen between recovered mode strengths and theoretical values from the synthetic data when using exact forcing frequencies. When forcing frequencies are determined via fast Fourier transform, the agreement is slightly less robust, with up to 18% error, although qualitative trends are still well captured. The algorithm may therefore be extended to problems of internal wave generation beyond tidal conversion.
Language
English
DOI
doi:10.7939/R3K653
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-04-25T00:00:18.580+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 21209439
Last modified: 2015:10:12 12:21:15-06:00
Filename: Kaminski_Alexis_Fall 2012.pdf
Original checksum: abe19b54224901c1b8446d37b7033156
Well formed: true
Valid: true
Page count: 119
Activity of users you follow
User Activity Date