Comparison of spectral partitioning techniques for wind wave and swell.
The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme.
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| Format: | Journal Contribution biblioteca |
| Language: | English |
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2012
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| Subjects: | Wind waves, Swell, Wave spectra, |
| Online Access: | http://hdl.handle.net/1834/5846 |
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dig-aquadocs-1834-58462021-05-19T06:40:45Z Comparison of spectral partitioning techniques for wind wave and swell. Li, Shuiqing Zhao, Dongliang Wind waves Swell Wave spectra The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme. Published 2015-01-21T05:13:04Z 2015-01-21T05:13:04Z 2012 Journal Contribution Non-Refereed Article Marine Science Bulletin, 14 (2), 24-36 1000-9620 http://hdl.handle.net/1834/5846 en http://creativecommons.org/licenses/by-nc/3.0/ |
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Wind waves Swell Wave spectra Wind waves Swell Wave spectra |
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Wind waves Swell Wave spectra Wind waves Swell Wave spectra Li, Shuiqing Zhao, Dongliang Comparison of spectral partitioning techniques for wind wave and swell. |
| description |
The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme. |
| format |
Journal Contribution |
| topic_facet |
Wind waves Swell Wave spectra |
| author |
Li, Shuiqing Zhao, Dongliang |
| author_facet |
Li, Shuiqing Zhao, Dongliang |
| author_sort |
Li, Shuiqing |
| title |
Comparison of spectral partitioning techniques for wind wave and swell. |
| title_short |
Comparison of spectral partitioning techniques for wind wave and swell. |
| title_full |
Comparison of spectral partitioning techniques for wind wave and swell. |
| title_fullStr |
Comparison of spectral partitioning techniques for wind wave and swell. |
| title_full_unstemmed |
Comparison of spectral partitioning techniques for wind wave and swell. |
| title_sort |
comparison of spectral partitioning techniques for wind wave and swell. |
| publishDate |
2012 |
| url |
http://hdl.handle.net/1834/5846 |
| work_keys_str_mv |
AT lishuiqing comparisonofspectralpartitioningtechniquesforwindwaveandswell AT zhaodongliang comparisonofspectralpartitioningtechniquesforwindwaveandswell |
| _version_ |
1756076072177238016 |