Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III
Over the past several decades, an increasing number of studies have focused on the global view of swell and wind sea climate. However, our understanding of wind sea and swell is still incomplete as is the lack of an integrated description for all the wave components. In this paper, the European Cent...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/8419580 |
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| author | Kaiwen Zheng Jian Sun Changlong Guan Weizeng Shao |
| author_facet | Kaiwen Zheng Jian Sun Changlong Guan Weizeng Shao |
| author_sort | Kaiwen Zheng |
| collection | DOAJ |
| description | Over the past several decades, an increasing number of studies have focused on the global view of swell and wind sea climate. However, our understanding of wind sea and swell is still incomplete as is the lack of an integrated description for all the wave components. In this paper, the European Centre for Medium-Range Weather Forecasts (ECMWF) Era-medium wind data is used to run the WAVEWATCH III model and the global wave fields in 2010 are reproduced. Using the spectra energy partition (SEP) method, two-dimensional wave spectra were separated and detailed information for the components of wind sea and swell was obtained. We found that the highest seasonal mean energy of swell and wind sea are distributed in the respective winter hemispheres. In most seas, swell carries a large part of the wave energy with Ws being higher than 50%. Compared to swell, the global distribution of wind sea energy is highly affected by the seasons. We also established a link between inverse wave age and the ratio of swell energy to total wave energy. This study aims to improve our understanding of surface wave energy composition and thus the parameterization of global-scale wind-wave interaction and air-sea momentum flux. |
| format | Article |
| id | doaj-art-903bfc65429745ac87ecadb45eec2841 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-903bfc65429745ac87ecadb45eec28412025-02-03T01:07:25ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/84195808419580Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH IIIKaiwen Zheng0Jian Sun1Changlong Guan2Weizeng Shao3Physical Oceanography Laboratory, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaPhysical Oceanography Laboratory, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaPhysical Oceanography Laboratory, Ocean University of China, 238 Songling Road, Qingdao 266100, ChinaZhejiang Ocean University, Zhoushan 316000, ChinaOver the past several decades, an increasing number of studies have focused on the global view of swell and wind sea climate. However, our understanding of wind sea and swell is still incomplete as is the lack of an integrated description for all the wave components. In this paper, the European Centre for Medium-Range Weather Forecasts (ECMWF) Era-medium wind data is used to run the WAVEWATCH III model and the global wave fields in 2010 are reproduced. Using the spectra energy partition (SEP) method, two-dimensional wave spectra were separated and detailed information for the components of wind sea and swell was obtained. We found that the highest seasonal mean energy of swell and wind sea are distributed in the respective winter hemispheres. In most seas, swell carries a large part of the wave energy with Ws being higher than 50%. Compared to swell, the global distribution of wind sea energy is highly affected by the seasons. We also established a link between inverse wave age and the ratio of swell energy to total wave energy. This study aims to improve our understanding of surface wave energy composition and thus the parameterization of global-scale wind-wave interaction and air-sea momentum flux.http://dx.doi.org/10.1155/2016/8419580 |
| spellingShingle | Kaiwen Zheng Jian Sun Changlong Guan Weizeng Shao Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III Advances in Meteorology |
| title | Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III |
| title_full | Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III |
| title_fullStr | Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III |
| title_full_unstemmed | Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III |
| title_short | Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III |
| title_sort | analysis of the global swell and wind sea energy distribution using wavewatch iii |
| url | http://dx.doi.org/10.1155/2016/8419580 |
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