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基于微波链路的降雨场反演方法研究
Investigation of the inversion of rainfall field based on microwave links
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摘要: 本文基于微波雨衰的幂律关系，研究了使用微波链路反演降雨场的方法，采用层析技术建立了降雨场反演模型。并利用 SIRT 算法与正则化算法实现对降雨场层析反演模型的求解。数值模拟结果表明，该模型与反演算法能够较为准确地重建降雨场强度与空间分布特征，能够提供高时空分辨率的二维降雨强度分布。因此，利用微波衰减数据进行降雨探测可以作为常规的雨量计与天气雷达观测手段的有效补充。Abstract: The accurate measurements of rainfall distribution with high spatial and temporal resolution have important implications in mete-orology, hydrology, agriculture, environmental policies, flood warning and weather forecasting. Based on the rain-induced power-law attenuation equation, a method is presented to reconstruct the rainfall field using rain-induced attenuation data from microwave links, and a tomographic model is formulated. Simutareous itesative reconstruction technigue (SIRT) algorithm and regularization method are employed in the tomographic model separately. The simulated result shows that the tomographic model and iterative algorithms are able to reconstruct the intensity and features of original rainfall field preferably. The distribution of rain rate with high spatial and temporal resolution is also available. Therefore, rain estimation exploiting microwave attenuation measurement data is a useful complement to traditional rain gauge and radar derived estimations.
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