首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Calibrating the Quikscat/SeaWinds Radar for measuring rainrate over the oceans
【24h】

Calibrating the Quikscat/SeaWinds Radar for measuring rainrate over the oceans

机译:校准Quikscat / SeaWinds雷达以测量海洋上的降雨率

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This effort continues a study of the effects of rain, over the oceans, on the signal retrieved by the SeaWinds scatterometer. It is determined that the backscatter radar cross section can be used to estimate the volumetric rain rate, averaged horizontally, across the surface resolution cells of the scatterometer. The dual polarization of the radar has a key role in developing this capability. The relative magnitudes of the radar backscatter depends on the volumetric rain rate, the rain column height and surface wind velocity, the viewing angle, as well as the polarization (due to the oblateness of raindrops at the higher rain rates). The approach to calibrating the SeaWinds normalized radar cross section (NRCS) is to collect National Weather Service Next Generation Weather Radar (NEXRAD) radar-derived rain rate measurements (4-km spatial resolution and 6-min rotating cycles) colocated in space (offshore) and time with scatterometer observations. These calibration functions lead to a Z-R relationship, which is then used at mid-ocean locations to estimate the rain rate in 0.25/spl deg/ or larger resolution cells, which are compared with Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) rain estimates. Experimental results to date are in general agreement with simplified theoretical models of backscatter from rain, for this frequency, 14 GHz. These comparisons show very good agreement on a cell-by-cell basis with the TMI estimates for both wide areas (1000 km) and smaller area rain events.
机译:这项工作将继续研究海洋上的雨水对SeaWinds散射仪获取的信号的影响。可以确定,后向散射雷达横截面可用于估计散射仪表面分辨率单元上水平平均的体积降雨率。雷达的双极化在开发此功能方面起着关键作用。雷达反向散射的相对大小取决于体积降雨率,降雨柱高度和地表风速,视角以及极化(由于较高降雨率下雨滴的扁度)。校准SeaWinds归一化雷达横截面(NRCS)的方法是收集位于同一空间(近海)的国家气象局下一代气象雷达(NEXRAD)雷达降雨率测量值(4 km空间分辨率和6分钟旋转周期) )和使用散射仪观察的时间。这些校准功能会导致ZR关系,然后将其用于大洋中部,以0.25 / spl deg /或更高分辨率的单元估算降雨率,然后将其与热带降雨测绘任务(TRMM)微波成像仪(TMI)进行比较雨估计。迄今为止的实验结果与这个频率为14 GHz的雨水反向散射的简化理论模型基本一致。这些比较表明,对于大范围(1000 km)和小范围降雨事件,TMI估计在逐个单元的基础上具有很好的一致性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号