Ocean feature models − their use and effectiveness in ocean acoustic forecasting
The aim of this paper is to test the effectiveness of feature models in ocean acoustic forecasting. Feature models are simple mathematical representations of the horizontal and vertical structures of ocean features (such as fronts and eddies), and have been used primarily for assimilating new observ...
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ftdoajarticles:oai:doaj.org/article:7d05db4811d44a6d91f2c3b2e89358c2 2023-05-15T16:51:11+02:00 Ocean feature models − their use and effectiveness in ocean acoustic forecasting J. Small L. Shackleford G. Pavey 1997-01-01T00:00:00Z https://doi.org/10.1007/s00585-997-0101-7 https://doaj.org/article/7d05db4811d44a6d91f2c3b2e89358c2 EN eng Copernicus Publications https://www.ann-geophys.net/15/101/1997/angeo-15-101-1997.pdf https://doaj.org/toc/0992-7689 https://doaj.org/toc/1432-0576 doi:10.1007/s00585-997-0101-7 0992-7689 1432-0576 https://doaj.org/article/7d05db4811d44a6d91f2c3b2e89358c2 Annales Geophysicae, Vol 15, Pp 101-112 (1997) Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 article 1997 ftdoajarticles https://doi.org/10.1007/s00585-997-0101-7 2022-12-31T02:55:42Z The aim of this paper is to test the effectiveness of feature models in ocean acoustic forecasting. Feature models are simple mathematical representations of the horizontal and vertical structures of ocean features (such as fronts and eddies), and have been used primarily for assimilating new observations into forecasts and for compressing data. In this paper we describe the results of experiments in which the models have been tested in acoustic terms in eddy and frontal environments in the Iceland Faeroes region. Propagation-loss values were obtained with a 2D parabolic-equation (PE) model, for the observed fields, and compared to PE results from the corresponding feature models and horizontally uniform (range-independent) fields. The feature models were found to represent the smoothed observed propagation-loss field to within an rms error of 5 dB for the eddy and 7 dB for the front, compared to 10–15-dB rms errors obtained with the range-independent field. Some of the errors in the feature-model propagation loss were found to be due to high-amplitude 'oceanographic noise' in the field. The main conclusion is that the feature models represent the main acoustic properties of the ocean but do not show the significant effects of small-scale internal waves and fine-structure. It is recommended that feature models be used in conjunction with stochastic models of the internal waves, to represent the complete environmental variability. Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles Annales Geophysicae 15 1 101 112 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 J. Small L. Shackleford G. Pavey Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
topic_facet |
Science Q Physics QC1-999 Geophysics. Cosmic physics QC801-809 |
description |
The aim of this paper is to test the effectiveness of feature models in ocean acoustic forecasting. Feature models are simple mathematical representations of the horizontal and vertical structures of ocean features (such as fronts and eddies), and have been used primarily for assimilating new observations into forecasts and for compressing data. In this paper we describe the results of experiments in which the models have been tested in acoustic terms in eddy and frontal environments in the Iceland Faeroes region. Propagation-loss values were obtained with a 2D parabolic-equation (PE) model, for the observed fields, and compared to PE results from the corresponding feature models and horizontally uniform (range-independent) fields. The feature models were found to represent the smoothed observed propagation-loss field to within an rms error of 5 dB for the eddy and 7 dB for the front, compared to 10–15-dB rms errors obtained with the range-independent field. Some of the errors in the feature-model propagation loss were found to be due to high-amplitude 'oceanographic noise' in the field. The main conclusion is that the feature models represent the main acoustic properties of the ocean but do not show the significant effects of small-scale internal waves and fine-structure. It is recommended that feature models be used in conjunction with stochastic models of the internal waves, to represent the complete environmental variability. |
format |
Article in Journal/Newspaper |
author |
J. Small L. Shackleford G. Pavey |
author_facet |
J. Small L. Shackleford G. Pavey |
author_sort |
J. Small |
title |
Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
title_short |
Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
title_full |
Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
title_fullStr |
Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
title_full_unstemmed |
Ocean feature models − their use and effectiveness in ocean acoustic forecasting |
title_sort |
ocean feature models − their use and effectiveness in ocean acoustic forecasting |
publisher |
Copernicus Publications |
publishDate |
1997 |
url |
https://doi.org/10.1007/s00585-997-0101-7 https://doaj.org/article/7d05db4811d44a6d91f2c3b2e89358c2 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Annales Geophysicae, Vol 15, Pp 101-112 (1997) |
op_relation |
https://www.ann-geophys.net/15/101/1997/angeo-15-101-1997.pdf https://doaj.org/toc/0992-7689 https://doaj.org/toc/1432-0576 doi:10.1007/s00585-997-0101-7 0992-7689 1432-0576 https://doaj.org/article/7d05db4811d44a6d91f2c3b2e89358c2 |
op_doi |
https://doi.org/10.1007/s00585-997-0101-7 |
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Annales Geophysicae |
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15 |
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1 |
container_start_page |
101 |
op_container_end_page |
112 |
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1766041294866481152 |