Applicability of Synthetic Aperture Radar Wind Retrievals on Offshore Wind Resources Assessment in Hangzhou Bay, China

Rui Chang, Rong Zhu, Merete Badger, Charlotte Bay Hasager, Rongwei Zhou, Dong Ye and Xiaowei Zhang
Additional contact information
Rui Chang: Public Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, China
Rong Zhu: National Climate Center, Beijing 10081, China
Merete Badger: Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 339, 4000 Roskilde, Denmark
Charlotte Bay Hasager: Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 339, 4000 Roskilde, Denmark
Rongwei Zhou: Public Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, China
Dong Ye: Public Meteorological Service Center of China Meteorological Administration (CMA), Beijing 10081, China
Xiaowei Zhang: Climate Center of the Zhejiang Meteorological Bureau, Hangzhou 310000, China

Energies, 2014, vol. 7, issue 5, 1-16

Abstract: 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.

Keywords: synthetic aperture radar (SAR) winds; high resolution; off-shore wind resources assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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