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Estimation of sea surface wind vector using RADARSAT data

机译:利用RADARSAT数据估算海面风向

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Synthetic aperture radars (SAR) have higher spatial resolution than scatterometers and we can obtain more detailed wind vector information from space-borne SAR data. This type of high spatial resolution wind information can be very useful particularly in coastal regions, where the scatterometer wind information can be altered by the coastal effects because the larger footprint spatial averaging of baekscattered energy is unavoidable. This paper tested RADARSAT data with CMOD_4 and CMOD_IFR2 algorithms for extracting wind information over selected coastal test areas around the Korean peninsula. Because the CMOD algorithms were originally developed for the C-band, VV-Polarized scatterometer data, we applied currently available polarization ratio models (e.g., Kirchhoff, Elfouhaily, and Thompson models) for RADARSAT data processing. Three test areas, the West Sea and East Sea on both sides of the Korea peninsula and the open sea off Jeju Island, were tested with the RADARSAT Fine, Standard, and ScanSAR beam mode data. The correlation of the wind vector results with the buoy and meteorological station data agrees well with each other but with some variations. The RMS error for the SAR-derived wind direction is somewhat great, and the wind speed RMS error using CMOD_4 algorithm is about 1.7 m/s (Kirchhoff), 1.84 m/s (Elfouhaily), and 2.4 m/s (Thompson polarization ratio model), respectively.
机译:合成孔径雷达(SAR)具有比散射仪更高的空间分辨率,我们可以从星载SAR数据中获得更详细的风矢量信息。这种类型的高空间分辨率风信息可能非常有用,尤其是在沿海地区,因为沿岸效应会改变散射仪的风信息,因为不可避免地会产生更大的足迹散布能量平均空间分布。本文使用CMOD_4和CMOD_IFR2算法测试了RADARSAT数据,以提取朝鲜半岛周围选定沿海测试区域的风信息。由于CMOD算法最初是为C波段,VV极化散射仪数据开发的,因此我们将当前可用的极化率模型(例如Kirchhoff,Elfouhaily和Thompson模型)应用于RADARSAT数据处理。使用RADARSAT Fine,Standard和ScanSAR波束模式数据对朝鲜半岛两侧的西海和东海以及济州岛附近的公海三个测试区域进行了测试。风矢量结果与浮标和气象站数据的相关性彼此吻合得很好,但有一些差异。 SAR得出的风向的RMS误差有些大,使用CMOD_4算法的风速RMS误差约为1.7 m / s(基尔霍夫),1.84 m / s(Elfouhaily)和2.4 m / s(汤普森极化率)型号)。

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