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Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland

机译:爱尔兰周边风电和平均风力估算的验证

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摘要

In this paper, surface wind speed and average wind power derived from Sentinel-1 Synthetic Aperture Radar Level?2 Ocean (OCN) product were validated against four weather buoys and three coastal weather stations around Ireland. A total of 1544?match-up points was obtained over a 2-year period running from May?2017 to May?2019. The match-up comparison showed that the satellite data underestimated the wind speed compared to in situ devices, with an average bias of 0.4 m s?1, which decreased linearly as a function of average wind speed. Long-term statistics using all the available data, while assuming a Weibull law for the wind speed, were also produced and resulted in a significant reduction of the bias. Additionally, the average wind power was found to be consistent with in situ data, resulting in an error of 10 % and 5 % for weather buoys and coastal stations, respectively. These results show that the Sentinel-1 Level?2 OCN product can be used to estimate the wind resource distribution, even in coastal areas. Maps of the average and seasonal wind speed and wind power illustrated that the error was spatially dependent, which should be taken into consideration when working with Sentinel-1 Synthetic Aperture Radar data.
机译:在本文中,表面风速和来自哨兵-1合成孔径雷达水平?2海洋(OCN)产品的平均风力验证了爱尔兰四个天气浮标和三个沿海气象站。共有1544个?匹配点是在5月份跑的2年期间获得的,2017年5月至2019年。匹配比较表明,与原位设备相比,卫星数据低估了风速,平均偏置为0.4M S?1,其作为平均风速的函数线性降低。还生产了使用所有可用数据的长期统计数据,同时也产生了对风速的Weibull定律,并导致偏差显着降低。另外,发现平均风力能量与原位数据一致,导致突变浮标和沿海站的10%和5%的误差。这些结果表明,即使在沿海地区,也可以使用Sentinel-1级别?2 OCN产品来估算风力资源分布。平均和季节风速和风电的地图示出了误差在空间上依赖,在使用Sentinel-1合成孔径雷达数据时应该考虑到这应该考虑。

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