Rainband feature tracking for wind speeds around typhoon eyes using multiple sensors
Rainband feature tracking for wind speeds around typhoon eyes using multiple sensors
复制标题
DOI：
10.1080/01431161.2016.1142690
复制
发表时间：
2016-02
影响因子：
3.4
通讯作者：
Shuangyan He;Antony K. Liu;Cheng‐Ku Yu;Zhiguo He;Jingsong Yang;G. Zheng;Ying Chen
中科院分区：
文献类型：
--
作者：
Shuangyan He;Antony K. Liu;Cheng‐Ku Yu;Zhiguo He;Jingsong Yang;G. Zheng;Ying Chen
利用卫星合成孔径雷达（SAR）和中分辨率成像光谱仪（MODIS）准同步观测的5次台风，采用特征跟踪技术进行了研究。首先利用小波分析圈定台风眼周围的雨带特征，然后利用准并发多传感器图像进行特征跟踪估计风速。与联合台风预警中心（JTWC）报告的最大风速相比，特征跟踪估计的风速是合理的，这可以解释使用Rankine组合涡近似的风速的径向相关性。以台湾北部海岸附近多普勒雷达观测为例，多传感器的风速估算结果也较为一致。本研究表明，利用准并发多传感器图像进行雨带特征跟踪，可以获得台风眼周围不同径向距离的气旋风局地风分布。该技术可为台风模拟和预报提供有用的风力信息。
In this article, five typhoon cases observed by quasi-concurrent satellite-based synthetic aperture radar (SAR) and Moderate Resolution Imaging Spectroradiometer (MODIS) were studied with a feature-tracking technique. The rainband features around typhoon eyes were first delineated using wavelet analysis, and then the wind speeds were estimated by feature tracking using quasi-concurrent multi-sensor images. It was found that the feature tracking-estimated 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 observations near the northern coast of Taiwan, 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 centres 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.