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首页> 外文会议>Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International >Application of wave spectra retrieved from ERS-1 SAR wave mode spectra in a wind- and wave-data assimilation system
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Application of wave spectra retrieved from ERS-1 SAR wave mode spectra in a wind- and wave-data assimilation system

机译：从ERS-1 SAR波模谱中提取的波谱在风和波数据同化系统中的应用

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摘要

An improvement of an earlier algorithm for retrieving ocean wave spectra from SAR image spectra is presented. The scheme uses a modified cost function and an additional iteration loop. A spectral partitioning scheme decomposes the spectrum into a finite number of wave systems. At each iteration step the individual wave systems of the first guess spectrum are modified to agree in mean wave height, mean wave frequency and direction with the corresponding values of the SAR-inverted wave spectrum, thus yielding a new first guess for a new iteration, if necessary. The algorithm retrieves smooth wave spectra and in addition provides consistent spectral partitioning parameters which can be used in combined wind-and-wave data assimilation. Two assimilation schemes are presented: an optimal interpolation scheme which uses the first guess and SAR-retrieved characteristic parameter as input data and a Green's function approach which inverts the differential operator of the wave transport equation. The schemes are applied to the ERS-1 SAR data for the Atlantic Ocean and the resulting local wind corrections are intercompared.
机译：提出了一种从SAR图像光谱中检索海浪光谱的较早算法的改进。该方案使用修改后的成本函数和附加的迭代循环。频谱划分方案将频谱分解为有限数量的波系统。在每个迭代步骤中，都会修改第一猜测频谱的各个波系，以使其平均波高，平均波频率和方向与SAR反转频谱的相应值一致，从而为新的迭代产生新的第一猜测，如有必要。该算法检索平滑波谱，此外还提供一致的谱分区参数，可用于组合的风浪数据同化。提出了两种同化方案：一种采用第一猜测和SAR检索特征参数作为输入数据的最优内插方案，以及一种将波动方程的微分算子求逆的格林函数方法。将该方案应用于大西洋的ERS-1 SAR数据，并将得到的局部风向校正结果进行了比较。

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