Strong Relationship between Eye Radius and Radius of Maximum Wind of Tropical Cyclones
Strong Relationship between Eye Radius and Radius of Maximum Wind of Tropical Cyclones
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DOI：
10.1175/mwr-d-22-0106.1
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发表时间：
2022-11
影响因子：
3.2
通讯作者：
T. Tsukada;T. Horinouchi
中科院分区：
文献类型：
--
作者：
T. Tsukada;T. Horinouchi
估算热带气旋的最大风半径对防灾减灾具有重要意义。如果rmw是根据地球同步气象卫星拍摄的红外（IR）图像估计的，那么无论海洋盆地如何，它们的估计都是密集及时的。科辛和他的合作者表明，当tc有清晰的眼睛时，从红外图像中估计的眼睛半径与从飞机侦察中估计的RMW高度相关。前者对后者的回归显示出平均绝对误差（MAE）为4.7 km。利用c波段合成孔径雷达（SAR）估算海面风，重新研究了基于ir的RMW估算方法。简化了选择明眼病例的标准。发现Kossin等人方法的MAE比先前建议的要小：当使用所提出的关系时为3.1 km，而当使用sar测量的rmw修正回归时为2.7 km。我们进一步提出了一种改进的基于红外的方法来估计眼睛半径。所得MAE为1.7 km，这表明基于ir的RMW估计比建议的更准确。眼壁斜度与眼尺寸之间有很强的相关性。我们还研究了眼内可能与RMW和RMW周围风结构密切相关的云特征。讨论了高精度RMW估计的潜在应用。
Estimation of the radius of maximum wind (RMW) of tropical cyclone (TC) is helpful for the disaster prevention and mitigation. If RMWs are estimated from infrared (IR) imagery taken by geostationary meteorological satellites, their estimation is available densely in time, regardless of the ocean basin. Kossin and coauthors showed that when TCs have clear eyes, the eye radii estimated from IR images have a high correlation with the RMW estimated from aircraft reconnaissance. The regression of the former onto that latter was shown to have a mean absolute error (MAE) of 4.7 km. We revisit the IR-based RMW estimation by using C-band synthetic aperture radar (SAR) sea surface wind estimates. The criteria for selecting clear-eye cases are simplified. The MAE of the Kossin et al. method is found to be smaller than previously suggested: 3.1 km when the proposed relation is used and 2.7 km when the regression is revised with the SAR-measured RMWs. We further propose an improvement of the IR-based method to estimate the eye radii. The resultant MAE is shown to be 1.7 km, which indicates that the IR-based RMW estimation is more accurate than has been suggested. A strong correlation between eyewall slope and eye size is confirmed. We also investigated cloud features in the eye that may be closely related to RMW and wind structure around RMW. Potential applications of highly accurate RMW estimation are discussed.