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Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit

机译:从SIR-C / X-SAR数据中提取海表风的回顾

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The Geophysical Model Function (GMF) XMOD1 provides a linear algorithm for sea surface wind field retrievals for the Spaceborne Imaging Radar-C/X-band Synthetic Aperture Radar (SIR-C/X-SAR). However, the relationship between the normalized radar cross section (NRCS) and the sea surface wind speed, wind direction and incidence angles is non-linear. Therefore, in this paper, XMOD1 is revisited using the full dataset of X-SAR acquired over the ocean. We analyze the detailed relationship between the X-SAR NRCS, incidence angle and sea surface wind speed. Based on the C-band GMF CMOD_IFR2, an updated empirical retrieval model of the sea surface wind field called SIRX-MOD is derived. In situ buoy measurements and the scatterometer data of ERS-1/SCAT are used to validate the retrieved sea surface wind speeds from the X-SAR data with SIRX-MOD, which respectively yield biases of 0.13 m/s and 0.16 m/s and root mean square (RMS) errors of 1.83 m/s and 1.63 m/s.
机译:地球物理模型功能(GMF)XMOD1为星载成像雷达C / X波段合成孔径雷达(SIR-C / X-SAR)的海面风场检索提供了一种线性算法。但是,归一化雷达横截面(NRCS)与海面风速,风向和入射角之间的关系是非线性的。因此,本文使用海洋上获取的X-SAR完整数据集来重新研究XMOD1。我们分析了X-SAR NRCS,入射角和海面风速之间的详细关系。基于C波段GMF CMOD_IFR2,推导了更新后的海面风场经验反演模型SIRX-MOD。使用ERS-1 / SCAT的原位浮标测量值和散射仪数据,通过SIRX-MOD验证从X-SAR数据中检索到的海面风速,其产生的偏差分别为0.13 m / s和0.16 m / s,均方根(RMS)误差为1.83 m / s和1.63 m / s。

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