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An improved hurricane wind vector retrieval algorithm using SeaWinds scatterometer.

机译：使用SeaWinds散射仪的改进的飓风风矢量检索算法。

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摘要

Over the last three decades, microwave remote sensing has played a significant role in ocean surface wind measurement, and several scatterometer missions have flown in space since early 1990's. Although they have been extremely successful for measuring ocean surface winds with high accuracy for the vast majority of marine weather conditions, unfortunately, the conventional scatterometer cannot measure extreme winds condition such as hurricane.;The SeaWinds scatterometer, onboard the QuikSCAT satellite is NASA's only operating scatterometer at present. Like its predecessors, it measures global ocean vector winds; however, for a number of reasons, the quality of the measurements in hurricanes are significantly degraded. The most pressing issues are associated with the presence of precipitation and Ku-band saturation effects, especially in extreme wind speed regime such as tropical cyclones (hurricanes and typhoons).;Under this dissertation, an improved hurricane ocean vector wind retrieval approach, named as Q-Winds, was developed using existing SeaWinds scatterometer data. This unique data processing algorithm uses combined SeaWinds active and passive measurements to extend the use of SeaWinds for tropical cyclones up to approximately 50 m/s (Hurricane Category-3).;Results show that Q-Winds wind speeds are consistently superior to the standard SeaWinds Project Level 2B wind speeds for hurricane wind speed measurement, and also Q-Winds provides more reliable rain flagging algorithm for quality assurance purposes. By comparing to H*Wind, Q-Winds achieves ∼9% of error, while L2B-12.5km exhibits wind speed saturation at ∼30 m/s with error of ∼31% for high wind speed (>40 m/s).
机译：在过去的三十年中，微波遥感在海洋表面风的测量中发挥了重要作用，自1990年代初以来，数个散射仪任务已经在太空飞行。尽管它们在绝大多数海洋天气条件下以高精度测量海洋表面风都取得了巨大成功，但不幸的是，常规散射仪无法测量飓风等极端风况。; QuikSCAT卫星上的SeaWinds散射仪是NASA唯一运行的目前的散射仪。像它的前辈一样，它测量全球海洋矢量风。但是，由于多种原因，飓风的测量质量明显下降。最紧迫的问题与降水和Ku波段饱和效应的存在有关，特别是在极端风速条件下，如热带气旋（飓风和台风）。；在本论文中，一种改进的飓风海洋矢量风取回方法被称为Q-Winds是使用现有SeaWinds散射仪数据开发的。这种独特的数据处理算法结合使用SeaWinds主动和被动测量技术，将SeaWinds用于热带气旋的速度提高到大约50 m / s（飓风3级）;结果表明Q-Winds的风速始终优于标准风速SeaWinds Project Level 2B风速用于飓风风速测量，并且Q-Winds还提供了更可靠的降雨标记算法，以确保质量。与H * Wind相比，Q-Winds的误差约为9％，而L2B-12.5km的风速饱和度约为30 m / s，高风速（> 40 m / s）的误差约为31％。

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  • 作者

    Laupattarakasem, Peth.;

  • 作者单位

    University of Central Florida.;

  • 授予单位 University of Central Florida.;
  • 学科 Engineering Electronics and Electrical.;Atmospheric Sciences.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;遥感技术;
  • 关键词

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