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Determining Selected Tropical Cyclone Characteristics Using QuikSCAT's Ultra-High Resolution Images

机译:使用QuikSCAT的超高分辨率图像确定选定的热带气旋特征

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摘要

Operational SeaWinds on QuikSCAT data can be enhanced to yield a 2.5 km ultra-high resolution (UHR) wind product, which can be used to help estimate tropical cyclone (TC) characteristics such as TC center and wind radii. This paper provides the results of two studies in which the QuikSCAT UHR wind product's effectiveness in estimating these TC characteristics is evaluated. First, a comparison is made between an analyst's choice of center location based on UHR images and interpolated best track position. In this analysis, the UHR images are divided into two categories based on the analyst's confidence level of finding the center location. In each category, statistical error quantities between the analyst's choice of center location and interpolated best track location are computed. UHR images within the high-confidence category can provide, for a given year and basin, mean error distance as small as 19 km with a 10 km standard deviation.
机译:可以增强QuikSCAT数据上的可运行SeaWinds以产生2.5 km超高分辨率(UHR)风积,该风积可用于帮助估算热带气旋(TC)特征,例如TC中心和风半径。本文提供了两项研究的结果,其中评估了QuikSCAT UHR风产品在估算这些TC特性方面的有效性。首先,在分析人员根据UHR图像选择的中心位置与插值的最佳轨道位置之间进行比较。在此分析中,根据分析师对找到中心位置的置信度,将UHR图像分为两类。在每个类别中,都会计算分析人员选择的中心位置与插值的最佳轨道位置之间的统计误差量。对于给定的年份和盆地,高置信度类别中的UHR图像可提供平均误差距离小至19 km(标准差为10 km)。

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