Trends of sea surface wind energy over the South China Sea
Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The resul...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiang, Bo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Anmerkung: |
© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Chinese journal of oceanology and limnology - Beijing : Science Press, 1982, 37(2019), 5 vom: 25. Feb., Seite 1510-1522 |
|---|---|
| Übergeordnetes Werk: |
volume:37 ; year:2019 ; number:5 ; day:25 ; month:02 ; pages:1510-1522 |
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10.1007/s00343-019-8307-6 |
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| 520 | |a Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). | ||
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10.1007/s00343-019-8307-6 doi (DE-627)SPR004284402 (SPR)s00343-019-8307-6-e DE-627 ger DE-627 rakwb eng Jiang, Bo verfasserin aut Trends of sea surface wind energy over the South China Sea 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). Wei, Yongliang aut Ding, Jie aut Zhang, Rong aut Liu, Yuxin aut Wang, Xiaoyong aut Fang, Yizhou aut Enthalten in Chinese journal of oceanology and limnology Beijing : Science Press, 1982 37(2019), 5 vom: 25. Feb., Seite 1510-1522 (DE-627)521479606 (DE-600)2262662-1 1993-5005 nnns volume:37 year:2019 number:5 day:25 month:02 pages:1510-1522 https://dx.doi.org/10.1007/s00343-019-8307-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_374 GBV_ILN_612 GBV_ILN_2522 GBV_ILN_2700 AR 37 2019 5 25 02 1510-1522 |
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10.1007/s00343-019-8307-6 doi (DE-627)SPR004284402 (SPR)s00343-019-8307-6-e DE-627 ger DE-627 rakwb eng Jiang, Bo verfasserin aut Trends of sea surface wind energy over the South China Sea 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). Wei, Yongliang aut Ding, Jie aut Zhang, Rong aut Liu, Yuxin aut Wang, Xiaoyong aut Fang, Yizhou aut Enthalten in Chinese journal of oceanology and limnology Beijing : Science Press, 1982 37(2019), 5 vom: 25. Feb., Seite 1510-1522 (DE-627)521479606 (DE-600)2262662-1 1993-5005 nnns volume:37 year:2019 number:5 day:25 month:02 pages:1510-1522 https://dx.doi.org/10.1007/s00343-019-8307-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_374 GBV_ILN_612 GBV_ILN_2522 GBV_ILN_2700 AR 37 2019 5 25 02 1510-1522 |
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10.1007/s00343-019-8307-6 doi (DE-627)SPR004284402 (SPR)s00343-019-8307-6-e DE-627 ger DE-627 rakwb eng Jiang, Bo verfasserin aut Trends of sea surface wind energy over the South China Sea 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). Wei, Yongliang aut Ding, Jie aut Zhang, Rong aut Liu, Yuxin aut Wang, Xiaoyong aut Fang, Yizhou aut Enthalten in Chinese journal of oceanology and limnology Beijing : Science Press, 1982 37(2019), 5 vom: 25. Feb., Seite 1510-1522 (DE-627)521479606 (DE-600)2262662-1 1993-5005 nnns volume:37 year:2019 number:5 day:25 month:02 pages:1510-1522 https://dx.doi.org/10.1007/s00343-019-8307-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_374 GBV_ILN_612 GBV_ILN_2522 GBV_ILN_2700 AR 37 2019 5 25 02 1510-1522 |
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10.1007/s00343-019-8307-6 doi (DE-627)SPR004284402 (SPR)s00343-019-8307-6-e DE-627 ger DE-627 rakwb eng Jiang, Bo verfasserin aut Trends of sea surface wind energy over the South China Sea 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). Wei, Yongliang aut Ding, Jie aut Zhang, Rong aut Liu, Yuxin aut Wang, Xiaoyong aut Fang, Yizhou aut Enthalten in Chinese journal of oceanology and limnology Beijing : Science Press, 1982 37(2019), 5 vom: 25. Feb., Seite 1510-1522 (DE-627)521479606 (DE-600)2262662-1 1993-5005 nnns volume:37 year:2019 number:5 day:25 month:02 pages:1510-1522 https://dx.doi.org/10.1007/s00343-019-8307-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_374 GBV_ILN_612 GBV_ILN_2522 GBV_ILN_2700 AR 37 2019 5 25 02 1510-1522 |
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10.1007/s00343-019-8307-6 doi (DE-627)SPR004284402 (SPR)s00343-019-8307-6-e DE-627 ger DE-627 rakwb eng Jiang, Bo verfasserin aut Trends of sea surface wind energy over the South China Sea 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). Wei, Yongliang aut Ding, Jie aut Zhang, Rong aut Liu, Yuxin aut Wang, Xiaoyong aut Fang, Yizhou aut Enthalten in Chinese journal of oceanology and limnology Beijing : Science Press, 1982 37(2019), 5 vom: 25. Feb., Seite 1510-1522 (DE-627)521479606 (DE-600)2262662-1 1993-5005 nnns volume:37 year:2019 number:5 day:25 month:02 pages:1510-1522 https://dx.doi.org/10.1007/s00343-019-8307-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_374 GBV_ILN_612 GBV_ILN_2522 GBV_ILN_2700 AR 37 2019 5 25 02 1510-1522 |
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Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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Abstract Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind. We used the Cross-Calibrated Multi-Platform (CCMP) 24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988–2011. The results reveal a clear trend of increase in wind power density for each of three base statistics (i.e., mean, $ 90^{th} $ percentile and $ 99^{th} $ percentile) in all seasons and for annual means. The trends of wind power density showed obvious temporal and spatial variations. The magnitude of the trends was greatest in winter, intermediate in spring, and smallest in summer and autumn. A greater trend of increase was found in the northern areas of the South China Sea than in southern parts. The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events (i.e., $ 90^{th} $ and $ 99^{th} $ percentiles) compared to the mean conditions. Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means, except for winter (41.7%). © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
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Trends of sea surface wind energy over the South China Sea |
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Wei, Yongliang Ding, Jie Zhang, Rong Liu, Yuxin Wang, Xiaoyong Fang, Yizhou |
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