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Improvement of Advanced Microwave Sounding Unit Tropical CycloneIntensity and Size Estimation Algorithms

机译:先进的微波探测单元热带气旋强度和尺寸估算算法的改进

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摘要

Previous work, in which Advanced Microwave Sounding Unit (AMSU) data from the Atlantic Ocean and east Pacific Ocean basins during 1999-2001 were used to provide objective estimates of 1-min maximum sustained surface winds, minimum sea level pressure, and the radii of 34-, 50-, and 64-kt (1 kt identical with 0.5144 m s-1) winds in the northeast, southeast, southwest, and northwest quadrants of tropical cyclones, is updated to reflect larger datasets, improved statistical analysis techniques, and improved estimation through dependent variable transforms. A multiple regression approach, which utilizes best-subset predictor selection and cross validation, is employed to develop the estimation models, where the dependent data (i.e., maximum sustained winds, minimum pressure, wind radii) are from the extended best track and the independent data consist of AMSU-derived parameters that give information about retrieved pressure, winds, temperature, moisture, and satellite resolution. The developmental regression models result in mean absolute errors (MAE) of 10.8 kt and 7.8 hPa for estimating maximum winds and minimum pressure, respectively. The MAE for the 34-, 50-, and 64-kt azimuthally averaged wind radii are 16.9, 13.3, and 6.8 n mi (1 n mi identical with 1852 m), respectively.
机译:以前的工作,其中使用了1999-2001年来自大西洋和东太平洋海盆的先进微波探测装置(AMSU)数据,提供了1分钟最大持续地面风,最小海平面压力和海底半径的客观估计值。更新了热带气旋东北,东南,西南和西北象限的34kt,50kt和64kt(1kt等于0.5144 m s-1)风,以反映更大的数据集,改进的统计分析技术和通过因变量变换改进估计。利用最佳子集预测变量选择和交叉验证的多元回归方法来开发估计模型,其中相关数据(即最大持续风,最小压力,风半径)来自扩展的最佳航迹和独立数据由AMSU派生的参数组成,这些参数提供有关取回的压力,风,温度,湿度和卫星分辨率的信息。发展回归模型的平均绝对误差(MAE)为10.8 kt和7.8 hPa,分别用于估计最大风和最小压力。 34、50和64 kt方位角平均半径的MAE分别为16.9、13.3和6.8 n mi(1 n mi与1852 m相同)。

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