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FIRST RESULTS OBTAINED IN THE OSIRIS PROJECT

机译:在Osiris项目中获得的第一个结果

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In the OSIRIS project funded by ESA a potential extension of the current level 2 ENVISAT ASAR wave mode product is investigated. The idea of the project which is still in its first phase is to complement the current product with a complete two dimensional ocean wave spectrum which results from a blending of the ASAR measurement with information from a numerical model. The estimate of the spectrum is based on a maximum a posteriori approach and is computed with the PARSA (Partition rescale and shift algorithm) developed by DLR. In the presentation first results obtained using a test data set of wave spectra from the WAM model and buoy data from the IFREMER colocation system are presented. The basic methodology of the inversion scheme is presented and different retrieval examples are presented. Triple co-locations of prototype products of the extended level-2 products with co-located buoy and WAM data are analysed. Furthermore the project structure is explained and the coming activities are summarised. A statistical validation and assessment will be performed in terms of spectral parameters most often used in practise, e.g., zero upcrossing period, peak period, significant wave height, swell wave height, wind sea wave height and propagation directions. Furthermore more sophisticated parameters like the crest length, the wave power and the expected maximum wave height will be investigated. The first analysis will concentrate on the North Atlantic with particular focus on storm events. Other regions will be considered as well to get a representative picture of the algorithm performance, e.g., in swell dominated regions. An additional analysis will be performed using the empirical CWAVE algorithm which provides estimates of integral wave parameters like the significant wave height without a priori information.
机译:在ESA资助的OSIRIS项目中,调查了当前级别2 Envisat ASAR波模式产品的潜在延期。仍然在其第一阶段的项目的想法是将目前产品与完整的二维海洋波谱相结合,这是由来自数值模型的信息的混合来实现的。频谱的估计基于最大的后验方法,并用DLR开发的PARSA(分区Rescale和Shift算法)计算。在演示中,呈现了使用来自WAM模型和来自IFremer Colocation系统的VAM模型和浮标数据的测试数据集获得的第一结果。提出了反演方案的基本方法,并呈现了不同的检索示例。分析了具有共同位于浮标和WAM数据的扩展电平-2产品的原型产品的三重服务。此外,该项目结构被解释,即将到来的活动总结。统计验证和评估将在实际上最常使用的频谱参数方面进行,例如零上调周期,峰周周期,显着波高,膨胀波高,风海波高度和传播方向。此外,将研究更复杂的参数,如峰值长度,波功率和预期的最大波高度。第一次分析将专注于北大西洋,特别关注风暴事件。其他地区将被认为也可以获得算法性能的代表性图片,例如,在膨胀主导地区。将使用经验CWAVE算法执行额外的分析,该算法提供了没有先验信息的显着波高的积分波参数的估计。

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    《SeaSAR》|2008年||共7页
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  • 中图分类 海洋学;
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