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A systematic comparison of QuikSCAT and SAR ocean surface wind speeds

机译：对QuikSCAT和SAR海洋表面风速的系统比较

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摘要

We performed a systematic comparison of wind speed measurements from the SeaWinds QuikSCAT scatterometer and wind speeds computed from RADARSAT-1 synthetic aperture radar (SAR) normalized radar cross section measurements. These comparisons were made over in the Gulf of Alaska and extended over a two-year period, 2000 and 2001. The SAR wind speed estimates require a wind direction to initialize the retrieval. Here, we first used wind directions from the Navy Operational Global Atmospheric Prediction System (NOGAPS) model. For these retrievals, the standard deviation between the resulting SAR and QuikSCAT wind speed measurements was 1.78 m/s. When we used the QuikSCAT-measured wind directions to initialize the inversion, comparisons improve to a standard deviation of 1.36 m/s. We used these SAR-scatterometer comparisons to generate a new C-band horizontal polarization model function. With this new model function, the wind speed inversion improves to a standard deviation of 1.24 m/s with no mean bias. These results strongly suggest that SAR and QuikSCAT measurements can be combined to make better high-resolution wind measurements than either instrument could alone in coastal areas.
机译：我们对SeaWinds QuikSCAT散射仪的风速测量结果与RADARSAT-1合成孔径雷达（SAR）归一化雷达横截面测量结果计算出的风速进行了系统的比较。这些比较是在阿拉斯加湾进行的，并在2000年和2001年的两年中进行了扩展。SAR的风速估算需要使用风向来初始化检索。在这里，我们首先使用了来自海军作战全球大气预测系统（NOGAPS）模型的风向。对于这些检索，所得的SAR和QuikSCAT风速测量值之间的标准偏差为1.78 m / s。当我们使用QuikSCAT测量的风向初始化反演时，比较结果提高到了1.36 m / s的标准偏差。我们使用这些SAR散射仪比较来生成新的C波段水平极化模型函数。借助这一新的模型功能，风速反演可在没有平均偏差的情况下提高到1.24 m / s的标准偏差。这些结果强烈表明，SAR和QuikSCAT测量可以组合在一起，比沿海地区的任何一种仪器都能进行更好的高分辨率风测量。

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