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Improved Hurricane Ocean Vector Winds Using SeaWinds Active/Passive Retrievals

机译:使用SeaWinds主动/被动检索改进的飓风海洋矢量风

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The SeaWinds scatterometer, onboard the QuikSCAT satellite, infers global ocean vector winds (OVWs); however, for a number of reasons, these measurements in hurricanes are significantly degraded. This paper presents an improved hurricane OVW retrieval approach, known as Q-Winds, which is derived from combined SeaWinds active and passive measurements. In this technique, the effects of rain are implicitly included in a new geophysical model function, which relates oceanic brightness temperature and radar backscatter measurements (at the top of the atmosphere) to the surface wind vector under both clear sky and in the presence of light to moderate rain. This approach extends the useful wind speed measurement range for tropical cyclones beyond that exhibited by the standard SeaWinds Project Level-2B (L2B) 12.5-km wind vector algorithm. A description of the Q-Winds algorithm is given, and examples of OVW retrievals are presented for the Q-Winds and L2B 12.5-km algorithms for ten hurricane overpasses in 2003–2008. These data are also compared to independent surface wind vector estimates from the National Oceanic and Atmospheric Administration Hurricane Research Division's objective hurricane surface wind analysis technique known as H$^{ast}$Wind. These comparisons suggest that the Q-Winds OVW product agrees better with independently derived H$^{ast}$ Wind analysis winds than does the conventional L2B OVW product.
机译:QuikSCAT卫星上的SeaWinds散射仪可推断全球海洋矢量风(OVW);但是,由于多种原因,飓风中的这些测量值明显下降。本文提出了一种改进的飓风OVW检索方法,称为Q-Winds,它是从SeaWinds主动和被动测量的组合得出的。在这项技术中,雨水的影响隐含在一个新的地球物理模型函数中,该函数将海洋亮度温度和雷达反向散射测量值(在大气层顶部)与晴空和有光情况下的表面风向矢量相关联中雨。这种方法将热带气旋的有用风速测量范围扩展到标准SeaWinds Project Level-2B(L2B)12.5公里风矢量算法所展示的范围之外。给出了Q-Winds算法的描述,并给出了2003-2008年10次飓风立交的Q-Winds和L2B 12.5公里算法的OVW检索示例。还将这些数据与美国国家海洋与大气管理局飓风研究部的客观飓风表面风分析技术(称为H $ ^ ast)$ Wind的独立地表风矢量估算值进行了比较。这些比较表明,与传统的L2B OVW产品相比,Q-Winds OVW产品与独立派生的H $ ^ {ast} $ Wind分析风更好地吻合。

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