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Rainband Feature Tracking for Wind Speeds around Typhoon Eyes Using Multiple Sensors

机译:使用多个传感器的台风眼周围的风速追踪

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In this study, five typhoon cases observed by quasi-concurrent satellite-based Synthetic Aperture Radar (SAR) and Moderate Resolution Imaging Spectroradiometer (MODIS) data, and one of the cases also by ground-based Doppler radar observations have been studied. The rainband features around typhoon eyes are first delineated using wavelet analysis, and then the wind speeds are estimated by feature tracking using quasi-concurrent multi-sensor images. It was found that the resulting wind speeds are reasonable compared with the maximum wind speed reported by the Joint Typhoon Warning Center (JTWC), which accounts for the radial dependence of wind speed using the Rankine combined vortex approximation. In a specific case, with the aid of Doppler radar near the coast, wind speed estimation based on the multi-sensor also shows consistent results. This study demonstrates that the local wind distribution of cyclonic winds around typhoon eyes at different radial distances from the typhoon centers may be derived from rainband feature tracking using quasi-concurrent multi-sensor images. This technique may offer useful wind information for typhoon simulations and forecasting.
机译:在本研究中,已经研究了五个同时卫星的合成孔径雷达(SAR)和中等分辨率成像光谱仪(MODIS)数据观察到的五个台风病例,以及由基于地基的多普勒雷达观测的一个病例。首先使用小波分析首先描绘Typhoon Eyes周围的雨带特征,然后通过使用准同时的多传感器图像来估计风速。结果发现,与由联合台风警告中心(JTWC)报道的最大风速相比,所得风速是合理的,这会使用Quankine组合涡旋近似来占风速的径向依赖性。在特定情况下,借助于海岸附近的多普勒雷达,基于多传感器的风速估计也显示了一致的结果。本研究表明,在来自台风中心的不同径向距离的旋风眼周围的局部风分布可以通过使用准同时的多传感器图像来源于rainBand特征跟踪。该技术可以为台风模拟和预测提供有用的风信息。

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