首页> 外文期刊>Journal of Advances in Modeling Earth Systems >Frequency, intensity, and sensitivity to sea surface temperature of North Atlantic tropical cyclones in best?¢????track and simulated data
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Frequency, intensity, and sensitivity to sea surface temperature of North Atlantic tropical cyclones in best?¢????track and simulated data

机译:在最佳跟踪和模拟数据中,北大西洋热带气旋的频率,强度和对海表温度的敏感性

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[1] Synthetic hurricane track data generated from a downscaling approach are compared to best?¢????track (observed) data to analyze differences in regional frequency, intensity, and sensitivity of limiting intensity to sea surface temperature (SST). Overall, the spatial distributions of observed and simulated hurricane counts match well, although there are relatively fewer synthetic storms in the eastern quarter of the basin. Additionally, regions of intense synthetic hurricanes tend to coincide with regions of intense observed hurricanes. The sensitivity of limiting hurricane intensity to SST computed from synthetic data is slightly lower than sensitivity computed from observed data (5.5?¢???????±?¢????1.31 m s ?¢????1 (standard error, SE) and 8.6?¢???????±?¢????1.57 m s ?¢????1 (SE), respectively); however, the synthetic data produce sensitivity values that are much closer to the observed values than those obtained from two global climate models (GCMs) in a previous study. Despite a close match in the magnitude of basin wide sensitivities, the spatial variability of sensitivities do not match. These values tend to be highest in the western portion of the basin for the observed data, while the opposite is true for the synthetic data.
机译:[1]将降尺度方法生成的合成飓风径迹数据与最佳(跟踪)数据进行比较,以分析区域频率,强度以及极限强度对海表温度(SST)的敏感性的差异。总体而言,尽管流域东半部的合成风暴相对较少,但观测到的和模拟的飓风数量的空间分布非常匹配。另外,强烈的合成飓风区域往往与强烈的观察到的飓风区域重合。根据合成数据计算得出的极限飓风强度对SST的灵敏度略低于根据观测数据计算得出的灵敏度(5.51 ???????±±??????? 1.31 ms ???????? 1(标准误差,SE)和8.6Ω·················································································································································(1(SE)但是,综合数据所产生的敏感度值比先前研究中从两个全球气候模型(GCM)获得的敏感度值更接近实测值。尽管流域范围的敏感性的大小紧密匹配,但是敏感性的空间变异性却不匹配。对于观测数据,这些值在盆地的西部地区往往最高,而对于合成数据,则相反。

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