首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >SeaWinds Scatterometer Wind Vector Retrievals Within Hurricanes Using AMSR and NEXRAD To Perform Corrections for Precipitation Effects: Comparison of AMSR and NEXRAD retrievals of rain
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SeaWinds Scatterometer Wind Vector Retrievals Within Hurricanes Using AMSR and NEXRAD To Perform Corrections for Precipitation Effects: Comparison of AMSR and NEXRAD retrievals of rain

机译:Seawinds散射仪风向量检索飓风内使用AMSR和Nexrad进行降水效果的矫正:AMSR和Nexrad Revertivals的雨量比较

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The opportunity provided by satellite scatterometers to measure ocean surface winds in strong storms and hurricanes is diminished by the errors in the received backscatter (SIGMA-0) caused by the attenuation, scattering and surface roughening produced by heavy rain. Providing a good rain correction is a very challenging problem, particularly at Ku band (13.4 GHz) where rain effects are strong. Corrections to the scatterometer measurements of ocean surface winds can be pursued with either of two different methods: empirical or physical modeling. The latter method is employed in this study because of the availability of near simultaneous and collocated measurements provided by the MIDORI-II suite of instruments. The AMSR was designed to measure atmospheric water-related parameters on a spatial scale comparable to the SeaWinds scatterometer. These quantities can be converted into volumetric attenuation and scattering at the Ku-band frequency of SeaWinds. Optimal estimates of the volume backscatter and attenuation require a knowledge of the three dimensional distribution of reflectivity on a scale comparable to that of the precipitation. Studies selected near the US coastline enable the much higher resolution NEXRAD reflectivity measurements evaluate the AMSR estimates. We are also conducting research into the effects of different beam geometries and nonuniform beamfilling of precipitation within the field-of-view of the AMSR and the scatterometer. Furthermore, both AMSR and NEXRAD estimates of atmospheric correction can be used to produce corrected SIGMA-0s, which are then input to the JPL wind retrieval algorithm.
机译:卫星散射仪提供的机会,以测量强风暴和飓风的海洋表面风,由受重雨产生的衰减,散射和表面粗糙度引起的接收的反向散射(Sigma-0)中的误差减少。提供良好的雨校正是一个非常具有挑战性的问题,特别是在KU频段(13.4 GHz),雨水效应强劲。可以用两种不同的方法中的任何一种追求对海洋表面风的散射计测量的校正:经验或物理建模。后一种方法是在本研究中使用的,因为Midori-II仪器提供的近同时和并置测量的可用性。 AMSR旨在测量与海风散射仪相当的空间尺度上的大气水有关的参数。这些数量可以转换成海风的Ku带频率的体积衰减和散射。体积反向散射和衰减的最佳估计需要了解与沉淀相当的规模上的反射率的三维分布。在美国海岸线附近选择的研究使得高得多的Nexrad反射率测量评估了AMSR估计。我们还在AMSR和散射仪的视野下进行了不同梁几何形状和非均匀光束填充的影响。此外,AMSR和NEXRAD对大气校正的估计可以用于产生校正的SIGMA-0S,然后输入到JPL风检测算法。

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