Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China
In view of the high cost and sparse spatial resolution of offshore meteorological observations, ocean winds retrieved from satellites are valuable in offshore wind resource assessment as a supplement to in situ measurements. This study examines satellite synthetic aperture radar (SAR) images from EN...
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MDPI AG
2014-05-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/7/5/3339 |
| _version_ | 1811262730281156608 |
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| author | Rui Chang Rong Zhu Merete Badger Charlotte Bay Hasager Rongwei Zhou Dong Ye Xiaowei Zhang |
| author_facet | Rui Chang Rong Zhu Merete Badger Charlotte Bay Hasager Rongwei Zhou Dong Ye Xiaowei Zhang |
| author_sort | Rui Chang |
| collection | DOAJ |
| description | In view of the high cost and sparse spatial resolution of offshore meteorological observations, ocean winds retrieved from satellites are valuable in offshore wind resource assessment as a supplement to in situ measurements. This study examines satellite synthetic aperture radar (SAR) images from ENVISAT advanced SAR (ASAR) for mapping wind resources with high spatial resolution. Around 181 collected pairs of wind data from SAR wind maps and from 13 meteorological stations in Hangzhou Bay are compared. The statistical results comparing in situ wind speed and SAR-based wind speed show a standard deviation (SD) of 1.99 m/s and correlation coefficient of R = 0.67. The model wind directions, which are used as input for the SAR wind speed retrieval, show a high correlation coefficient (R = 0.89) but a large standard deviation (SD = 42.3°) compared to in situ observations. The Weibull probability density functions are compared at one meteorological station. The SAR-based results appear not to estimate the mean wind speed, Weibull scale and shape parameters and wind power density from the full in situ data set so well due to the lower number of satellite samples. Distributions calculated from the concurrent 81 SAR and in situ samples agree well. |
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| id | doaj.art-871bc7849b5346708c651c3023476883 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-12T19:30:40Z |
| publishDate | 2014-05-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj.art-871bc7849b5346708c651c30234768832022-12-22T03:19:20ZengMDPI AGEnergies1996-10732014-05-01753339335410.3390/en7053339en7053339Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, ChinaRui Chang0Rong Zhu1Merete Badger2Charlotte Bay Hasager3Rongwei Zhou4Dong Ye5Xiaowei Zhang6Public Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, ChinaNational Climate Center, Beijing 10081, ChinaDepartment of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 339, 4000 Roskilde, DenmarkDepartment of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 339, 4000 Roskilde, DenmarkPublic Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, ChinaPublic Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, ChinaClimate Center of the Zhejiang Meteorological Bureau, Hangzhou 310000, ChinaIn view of the high cost and sparse spatial resolution of offshore meteorological observations, ocean winds retrieved from satellites are valuable in offshore wind resource assessment as a supplement to in situ measurements. This study examines satellite synthetic aperture radar (SAR) images from ENVISAT advanced SAR (ASAR) for mapping wind resources with high spatial resolution. Around 181 collected pairs of wind data from SAR wind maps and from 13 meteorological stations in Hangzhou Bay are compared. The statistical results comparing in situ wind speed and SAR-based wind speed show a standard deviation (SD) of 1.99 m/s and correlation coefficient of R = 0.67. The model wind directions, which are used as input for the SAR wind speed retrieval, show a high correlation coefficient (R = 0.89) but a large standard deviation (SD = 42.3°) compared to in situ observations. The Weibull probability density functions are compared at one meteorological station. The SAR-based results appear not to estimate the mean wind speed, Weibull scale and shape parameters and wind power density from the full in situ data set so well due to the lower number of satellite samples. Distributions calculated from the concurrent 81 SAR and in situ samples agree well.http://www.mdpi.com/1996-1073/7/5/3339synthetic aperture radar (SAR) windshigh resolutionoff-shore wind resources assessment |
| spellingShingle | Rui Chang Rong Zhu Merete Badger Charlotte Bay Hasager Rongwei Zhou Dong Ye Xiaowei Zhang Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China Energies synthetic aperture radar (SAR) winds high resolution off-shore wind resources assessment |
| title | Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China |
| title_full | Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China |
| title_fullStr | Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China |
| title_full_unstemmed | Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China |
| title_short | Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China |
| title_sort | applicability of synthetic aperture radar wind retrievals on offshore wind resources assessment in hangzhou bay china |
| topic | synthetic aperture radar (SAR) winds high resolution off-shore wind resources assessment |
| url | http://www.mdpi.com/1996-1073/7/5/3339 |
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