Journal of Japan Society of Civil Engineers, Ser. B3 (Ocean Engineering)
Online ISSN : 2185-4688
ISSN-L : 2185-4688
Annual Journal of Civil Engineering in the Ocean Vol.36 (Special Feature)
LONG-TERM WAVE HINDCAST DATABESE AROUND JAPAN FOR OFFSHORE WIND FARM SITE SELECTION
Naoto KIHARAHidetoshi TAMURATakaki TSUBONOTakumi YOSHIIHiromaru HIRAKUCHI
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2020 Volume 76 Issue 2 Pages I_67-I_72

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Abstract

 It is necessary to collect wave data for evaluations of costs of installations and maintenances, which are important for decision making of offshore wind farm site selections. Authors had carried out wave hindcast for 1957-2010 by using sea surface wind evaluated by long-term meteorology hindcast for the same period. However, underestimation trend of wave heights of high waves for typhoons had been a technical issue, and it was caused by prediction accuracy of typhoons by the meteorology hindcast. The sea surface winds for typhoons were evaluated by the combination of traditional empirical typhoon model and global reanalysis data, and waves for typhoons were evaluated again by using the new sea surface wind data, resulting in good accuracies of predicted waves for typhoons. Accuracies of predicted waves for normal sea state and extreme waves for non-typhoons and typhoons were evaluated by comparison with measurement data using GPS buoys. By using the long-term hindcast wave data, database which provide valuable wave information for decision making of site selections for offshore wind farms were developed.

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© 2020 Japan Society of Civil Engineers
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