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EXTREME WAVES OBSERVED BY SYNTHETIC APERTURE RADAR

机译:合成孔径雷达观察到的极端波

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Within the last years a considerable number of large ships have been lost due to severe sea state conditions. The cause of accidents are in many cases believed to be rogue waves, which are individual waves of exceptional wave height or abnormal shape. In particular steep breaking waves can be fatal for smaller ships. Damage is sometimes also be caused by unusual grouping of waves, which can lead to dangerous ship motion. In situ measurements of extreme waves are sparse with most observations reported by ship masters after the encounter. In this paper a global data set of 5 x 10 km sized synthetic aperture radar (SAR) images acquired by the European Remote Sensing satellite ERS-2 every 200 km along the track is used to analyse extreme ocean wave events. As the European Space Agency (ESA) does not provide this dataset as a standard product wave mode raw data were reprocessed to complex SAR images using the processor BSAR developed at the German Aerospace Center (DLR). About 1000 globally distributed SAR wave mode images are available every day. Two dimensional ocean wave fields are derived from SAR images by inversion of the SAR imaging mechanism. Individual high waves are detected in the derived wave fields using a matched filter technique. Grouping of waves is studied using wavelet techniques. Statistics are presented on wave group size and frequency. The inhomogeneity of ocean wave fields is anlysed using a parameter, which describes the shift invariance of the wave spectrum.
机译:在过去几年内,由于严重的海州条件,大量大型船只已经丢失。事故的原因在许多情况下被认为是流氓波,这是异常波浪高度或异常形状的单独波浪。特别是陡峭的破碎波可能是较小的船舶的致命。有时也是由于波浪的不寻常分组引起的损坏,这可能导致危险的船舶运动。原位测量极端波浪稀疏,大多数船舶大师在遇到后报告的大多数观察。在本文中,全球数据集5 x 10公里大小的合成孔径雷达(SAR)图像,沿着轨道每200公里沿着欧洲遥感卫星ERS-2获取的200公里的图像,用于分析极端海浪事件。由于欧洲空间机构(ESA)不提供该数据集作为标准产品波动模式,使用德国航空航天中心(DLR)开发的处理器BSAR再加工到复杂的SAR图像。大约1000个全局分布式SAR波模式图像每天都可以使用。通过SAR成像机制的反转来源于SAR图像的二维海洋波场。使用匹配的滤波器技术在导出的波场中检测单个高波。使用小波技术研究了波浪的分组。统计数据显示在波组大小和频率上。使用参数对海波场的不均匀性进行凌乱,该参数描述了波谱的换档不变性。

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