Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province
Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis show...
Ausführliche Beschreibung
Autor*in: |
Liao, Fei [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Anmerkung: |
© The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Übergeordnetes Werk: |
Enthalten in: Acta Meteorologica Sinica - The Chinese Meteorological Society, 2011, 32(2018), 4 vom: Aug., Seite 627-635 |
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Übergeordnetes Werk: |
volume:32 ; year:2018 ; number:4 ; month:08 ; pages:627-635 |
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DOI / URN: |
10.1007/s13351-018-7098-6 |
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SPR031430465 |
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520 | |a Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. | ||
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10.1007/s13351-018-7098-6 doi (DE-627)SPR031430465 (SPR)s13351-018-7098-6-e DE-627 ger DE-627 rakwb eng Liao, Fei verfasserin aut Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. Deng, Hua aut Chan, Pak-wai aut Enthalten in Acta Meteorologica Sinica The Chinese Meteorological Society, 2011 32(2018), 4 vom: Aug., Seite 627-635 (DE-627)SPR031424376 nnns volume:32 year:2018 number:4 month:08 pages:627-635 https://dx.doi.org/10.1007/s13351-018-7098-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 32 2018 4 08 627-635 |
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10.1007/s13351-018-7098-6 doi (DE-627)SPR031430465 (SPR)s13351-018-7098-6-e DE-627 ger DE-627 rakwb eng Liao, Fei verfasserin aut Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. Deng, Hua aut Chan, Pak-wai aut Enthalten in Acta Meteorologica Sinica The Chinese Meteorological Society, 2011 32(2018), 4 vom: Aug., Seite 627-635 (DE-627)SPR031424376 nnns volume:32 year:2018 number:4 month:08 pages:627-635 https://dx.doi.org/10.1007/s13351-018-7098-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 32 2018 4 08 627-635 |
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10.1007/s13351-018-7098-6 doi (DE-627)SPR031430465 (SPR)s13351-018-7098-6-e DE-627 ger DE-627 rakwb eng Liao, Fei verfasserin aut Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. Deng, Hua aut Chan, Pak-wai aut Enthalten in Acta Meteorologica Sinica The Chinese Meteorological Society, 2011 32(2018), 4 vom: Aug., Seite 627-635 (DE-627)SPR031424376 nnns volume:32 year:2018 number:4 month:08 pages:627-635 https://dx.doi.org/10.1007/s13351-018-7098-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 32 2018 4 08 627-635 |
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10.1007/s13351-018-7098-6 doi (DE-627)SPR031430465 (SPR)s13351-018-7098-6-e DE-627 ger DE-627 rakwb eng Liao, Fei verfasserin aut Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. Deng, Hua aut Chan, Pak-wai aut Enthalten in Acta Meteorologica Sinica The Chinese Meteorological Society, 2011 32(2018), 4 vom: Aug., Seite 627-635 (DE-627)SPR031424376 nnns volume:32 year:2018 number:4 month:08 pages:627-635 https://dx.doi.org/10.1007/s13351-018-7098-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 32 2018 4 08 627-635 |
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10.1007/s13351-018-7098-6 doi (DE-627)SPR031430465 (SPR)s13351-018-7098-6-e DE-627 ger DE-627 rakwb eng Liao, Fei verfasserin aut Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. Deng, Hua aut Chan, Pak-wai aut Enthalten in Acta Meteorologica Sinica The Chinese Meteorological Society, 2011 32(2018), 4 vom: Aug., Seite 627-635 (DE-627)SPR031424376 nnns volume:32 year:2018 number:4 month:08 pages:627-635 https://dx.doi.org/10.1007/s13351-018-7098-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 32 2018 4 08 627-635 |
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Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province |
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Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
abstractGer |
Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
abstract_unstemmed |
Abstract We analyzed the frequency distribution characteristics of wind speeds occurring at different offshore sites within a range of 0–200 km based on the sea surface wind data captured via buoys and oil platforms located along the east coast of Guangdong Province. The results of the analysis showed that average wind speed measured for each station reached a maximum in winter while minima occurred in summer, corresponding to obvious seasonal variation, and average wind speed increased with offshore distance. The prevailing wind direction at the nearshore site is the easterly wind, and the frequency of winds within 6–10 m $ s^{–1} $ is considerable with that of winds at > 10 m $ s^{–1} $. With the increase of the offshore distance, the winds were less affected by the land, and the prevailing wind direction gradually became northerly winds, predominately those at > 10 m $ s^{–1} $. For areas of shorter offshore distance (< 100 km), surface wind speeds fundamentally conformed to a two-parameter Weibull distribution, but there was a significant difference between wind speed probability distributions and the Weibull distribution in areas more than 100 km offshore. The mean wind speeds and wind speed standard deviations increased with the offshore distance, indicating that with the increase of the wind speed, the pulsation of the winds increased obviously, resulting in an increase in the ratio of the mean wind speed to the standard deviation of wind speed. When the ratio was large, the skewness became negative. When a relatively great degree of dispersion was noted between the observed skewness and the skewness corresponding to the theoretical Weibull curve, the wind speed probability distribution could not be adequately described by a Weibull distribution. This study provides a basis for the verification of the adaptability of Weibull distribution in different sea areas. © The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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title_short |
Characteristics of Spatiotemporal Distribution of Sea Surface Wind along the East Coast of Guangdong Province |
url |
https://dx.doi.org/10.1007/s13351-018-7098-6 |
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Deng, Hua Chan, Pak-wai |
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Deng, Hua Chan, Pak-wai |
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10.1007/s13351-018-7098-6 |
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