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Estimating Tropical Cyclone Wind Structure and Intensity From Spaceborne Radiometer and Synthetic Aperture Radar

机译:估计来自空间辐射计和合成孔径雷达的热带旋风风力结构和强度

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摘要

We present a relatively simple method to estimate tropical cyclone (TC) surface wind structure (34-, 50-, and 64-kt wind radii) and intensity [maximum wind speed (MWS)] from wind fields acquired from the L-band SMAP radiometer and C-band Sentinel-1A/B and RADARSAT-2 synthetic aperture radar (SAR) between 2015 and 2020. The radiometer and SAR-derived wind radii and MWS are systematically compared with the best-track estimates. The root-mean-square errors (RMSEs) of R34, R50, and R64 are 31.2, 21.8, and 17.0 nmi (1 nmi = 1.852 km) for radiometer, and 21.7, 16.5, and 16.3 nmi for SAR, respectively. These error values are smaller than the averaged best-track uncertainty estimates for the three wind radii. Compared with the best-track reports, the bias and RMSE for the MWS estimates are −0.2 m/s and 5.8 m/s for radiometer, and 4.4 m/s and 9.1 m/s for SAR, respectively. These results are for the wind speeds in the range of 17–80 m/s. For the two typical TCs (Lionrock and Noru) in the Northwest Pacific Ocean, our results show that a combination of the radiometer and SAR wind data acquired within a very short time interval has the potential to simultaneously obtain reasonable measurements of the wind radii and intensity parameters. Moreover, for a TC with a long lifecycle, such as Typhoon Noru, we demonstrate that the high-resolution and multitemporal synergistic observations from SAR and radiometer are valuable for studying fine-scale features of the wind field and characteristics of wind asymmetry associated with intensity change, as well as the evolution of TC surface wind structure and intensity.
机译:我们提出了一个相对简单的方法来估计热带气旋(TC)表面风结构(34-,50-,和64克拉风半径)和强度从L波段获得的风场[最大风速(MWS)] SMAP辐射计和C波段的Sentinel-1A / B和2015年到2020年间RADARSAT-2的合成孔径雷达(SAR)的辐射计和SAR衍生风半径和MWS进行系统的最佳轨迹的估计进行比较。 R34,R50,R64和的根均方误差(RMSEs)是31.2,21.8,和17.0 NMI(1 NMI =1.852公里)为辐射计,和21.7,16.5,和16.3 NMI的SAR,分别。这些错误值比平均最佳轨道的不确定性估值三个风半径小。最好的轨道报告相比,对于MWS估计的偏差和均方根误差是-0.2米/秒和5.8米/秒辐射计,和4.4米/秒,9.1米/秒SAR。这些结果是在的17-80微米的范围内的风速/秒。对于在西北太平洋的两个典型的热带气旋(狮子山和Noru),我们的研究结果表明,在很短的时间间隔内所获得的辐射计和SAR风数据的组合必须同时获得风半径和强度的合理测量的潜力参数。此外,对于具有较长的生命周期,如台风Noru一个TC,我们证明了高分辨率和多时的协同观测从SAR和辐射计是研究精细尺度有价值的风场的特点和风力不对称的特性与强度有关变化,以及TC表面风结构和强度的演变。

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