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Corrections to Scatterometer Wind Vectors During Hurricane Dennis Using High Resolution NEXRAD Radar Rain Corrections

机译:使用高分辨率Nexrad雷达雨矫正飓风丹尼斯飓风越南散散仪风传感器的校正

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Scatterometer wind measurements in Hurricanes have excellent potential for studying ocean forcing and the forecasting of coastal storm surges and flooding potential. These observations have the advantages of wide coverage, high resolution and accuracy. However, significant errors can occur when rain causes attenuation and backscatter of the scatterometer's microwave pencil-beam. For most of the rain conditions existing in Hurricanes, the signal returned to the satellite is larger than that reflected by the sea surface resulting in erroneously high estimates of the wind speed. One consequence can be large errors in estimates of the coastal storm surge. This study shows how NEXRAD measurements of the rain within each scatterometer cell can be used, with a physically based electromagnetics model, to correct the affected radar cross section data. Hurricane Dennis made landfall in the Gulf of Mexico on July 10, 2005, not far from the Florida/Alabama border. There was a serious impact on the Apalachee Bay and Cedar Key region because of a anomalously high storm surge. Heavy precipitation affected the ability of the QuikSCAT scatterometer to accurately predict this phenomena. The precipitation in this storm was continuously monitored by the NWS Tallahassee NEXRAD (S-band) radar. The mode of this instrument is to collect radar reflectivity data using conical scans at a sequence of elevations, resulting in a 3-D volume with 2 km spatial scales. This example studies herein underscores the necessity of correcting the scatterometer's normalized radar cross section (NRCS) measurements to remove the excess backscatter and attenuation provided by rain areas that exist within the 25-by-35 km antenna footprint. High resolution NWS-NEXRAD techniques are especially useful because of the wide variability of the rain intensity, both horizontally and vertically across each scatterometer footprint and along the incident beam.
机译:飓风中的散射仪风测量有很好的研究海洋迫使和沿海风暴浪涌和洪水潜力的预测。这些观察结果具有广泛覆盖率,高分辨率和准确性的优点。然而,当雨导致散射计的微波铅笔梁的衰减和反向散射时,可能会发生重大错误。对于飓风中存在的大部分雨季,返回卫星的信号大于海面反射的信号,从而产生错误的风速估计。沿海风暴浪涌估计的一个后果可能是大的错误。本研究表明,在物理上的电磁模型中,可以使用每个散射计单元内的雨量的Nexrad测量如何校正受影响的雷达横截面数据。飓风丹尼斯于2005年7月10日在墨西哥湾的登陆,离佛罗里达州/阿拉巴马州边境不远。由于异常高风暴浪涌,对Apalachee Bay和Cedar Key地区产生了严重影响。大量降水影响了Quikscat散射仪准确预测这种现象的能力。 NWS Tallahassee Nexrad(S频带)雷达连续监测该风暴中的沉淀。该仪器的模式是在升高序列中使用锥形扫描收集雷达反射率数据,从而产生3d卷,具有2公里的空间尺度。该示例研究在本文中,强调了校正散射仪的标准化雷达横截面(NRC)测量的必要性以消除由25×35km天线足迹内存的雨区提供的过量的反向散射和衰减。高分辨率NWS-NEXRAD技术特别有用,因为雨强度的宽度可变性,无论是水平和垂直地穿过每个散射计占地面积和沿着入射光束。

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