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CAN SYNTHETIC APERTURE RADAR DATA IMPROVE HURRICANE FORECASTS*

机译:合成孔径雷达数据可以改善飓风预测*

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Wind fields under hurricane conditions are retrieved from the synthetic aperture radar (SAR) utilizing an algorithm, which has shown to give good results under low and moderate wind conditions. The algorithm extracts wind directions from wind-induced streaks imaged by the SAR at scales above 200 m. Wind speeds are derived from the SAR measured normalized radar cross section (NRCS) utilizing the geophysical model functions CMOD4 and CMOD5, which describes the dependency of the NRCS on wind. It will be shown that the algorithm is capable to determine wind directions as well as wind speeds of over 50 ms ms-1 -1. The SAR-retrieved wind fields are compared to results of a high resolution numerical tropical cyclone model.
机译:利用算法从合成孔径雷达(SAR)下检索飓风条件下的风场,该算法显示在低和中等风能下提供良好的效果。该算法从SAR成像的风引起的条纹提取风向,在200米以上的尺度上。利用地球物理模型功能CMOD4和CMOD5导出风速从SAR测量的标准化雷达横截面(NRC),其描述了NRC在风中的依赖性。将表明,该算法能够确定风向以及超过50ms的MS-1 -1的风速。将SAR检索的风电场与高分辨率数值热带气旋模型的结果进行比较。

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