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Doppler Velocity Characteristics During Tropical Cyclones Observed Using ScanSAR Raw Data

机译:利用ScanSAR原始数据观测热带气旋期间的多普勒速度特征

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Doppler velocity can be derived by calculating Doppler shift anomalies between predicted and estimated Doppler centroids. The predicted Doppler centroid is calculated based on a geometric model of satellite assuming that the target is not moving. The estimated Doppler centroid can be directly extracted from the raw SAR signal data by applying the average cross-correlation coefficient method. It is known that wind-generated ocean waves can significantly contribute to Doppler velocity due to the correlation between orbital motions of the waves and (tilt and hydrodynamic) modulated radar cross sections, in addition to what sea surface current contributes. In this study, the characteristics of Doppler velocities under hurricane conditions were investigated using RADARSAT-1 ScanSAR raw data. Five different hurricanes (Hurricane Dean, Hurricane Ivan, Hurricane Kyle, Hurricane Lili, and Typhoon Xangsane) and sequential acquisitions of two hurricanes (Hurricane Kyle and Hurricane Lili) were selected to study the contribution of wind-induced waves to Doppler velocities and compared with measurements of drifting buoys. The results show that hurricane-generated seas and associated winds and waves appear to be different from ordinary sea state. This leads to lower estimates of Doppler velocities than expected and much closer to sea surface current velocities.
机译:可以通过计算预测的和估计的多普勒质心之间的多普勒频移异常来推导多普勒速度。假设目标没有移动,则根据卫星的几何模型计算预测的多普勒质心。通过使用平均互相关系数方法,可以直接从原始SAR信号数据中提取估计的多普勒质心。众所周知,除了海面海流的贡献外,由于海浪的轨道运动与(倾斜和水动力)调制雷达横截面之间的相关性,风力产生的海浪还可以显着影响多普勒速度。在这项研究中,使用RADARSAT-1 ScanSAR原始数据研究了飓风条件下的多普勒速度特征。选择了五种不同的飓风(迪安飓风,伊万飓风,凯尔飓风,丽丽飓风和台风X桑)和两个飓风的连续采集(凯尔飓风和丽丽飓风)来研究风浪对多普勒速度的贡献,并与之比较测量浮标。结果表明,飓风产生的海洋和相关的风浪似乎与普通海况不同。这导致对多普勒速度的估计值比预期的要低,并且更接近海面洋流的速度。

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