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Estimate of tropical cyclone parameters based on microwave humidity sounders.

机译:根据微波湿度探测器估算热带气旋参数。

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摘要

TC structures consisting of eye, eyewall and rainband can be clearly resolved by Microwave Humidity Sounder (MHS) window channels. High brightness temperatures are found in cloud-free hurricane eye and cloud streaks, and low brightness temperatures are found in cloud rainbands. In this study, MHS is used to estimate TC center and radius of maximum wind. The TC center location is determined by the warmest brightness temperature of MHS channel 2 within TC eyewall region. The radius of maximum wind is estimated based on the radial profiles brightness temperatures calculating at six-degree azimuthal angles. The shortest distance between the hurricane center and the minimum point of brightness temperature with some minimum points on its neighboring radial profiles is taken as the estimate of the radius of maximum wind. This method for estimating the TC center location and the radius of maximum wind was applied to twelve arbitrarily selected TCs that occurred in 2010, 2011 or 2012 over Atlantic basin. More than 78% of cases have the differences of TC center location and radius of maximum wind between MHS and NHC being less than 15 km and 10 km, respectively. The infrared observations from Advanced Very High Resolution Radiometer (AVHRR) on board the same satellite as MHS are also used for further comparison. It was found that the large differences between MHS estimate and Best Track analysis seem to occur for TCs with asymmetric structure or high-latitude locations.
机译:微波湿度探测器(MHS)窗口通道可以清晰地分辨出由眼,眼墙和雨带组成的TC结构。在无云的飓风眼和云纹中发现高亮度温度,在云雨带中发现低亮度温度。在这项研究中,MHS用于估算TC中心和最大风的半径。 TC中心位置由TC眼墙区域内MHS通道2的最暖亮度温度确定。根据在六度方位角上计算出的径向轮廓亮度温度估算最大风的半径。飓风中心与亮度温度的最小点之间的最短距离(在其相邻径向轮廓上具有一些最小点)被用作最大风半径的估计。这种估算TC中心位置和最大风半径的方法被应用于2010年,2011年或2012年在大西洋盆地上空发生的12个任意选择的TC。超过78%的案例中,MHS和NHC之间的TC中心位置和最大风半径的差异分别小于15 km和10 km。与MHS在同一颗卫星上的高级超高分辨率辐射计(AVHRR)的红外观测也用于进一步比较。研究发现,对于结构不对称或高纬度位置的TC,MHS估算值与最佳跟踪分析之间似乎存在很大差异。

著录项

  • 作者

    Shi, Qi.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Meteorology.
  • 学位 M.S.
  • 年度 2014
  • 页码 44 p.
  • 总页数 44
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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