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基于混合相态降雨粒子的降雨分布反演算法

Rainfall Distribution Inversion Algorithm Based on Mixed-Phase Rainfall Particles
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摘要 针对深对流降雨垂直结构特点,并考虑SAR降雨测量的正演模型(即归一化雷达散射截面模型)忽略冻结高度附近过冷水的情况,导致SAR降雨分布反演算法反演结果低估的问题,提出了一种基于混合相态降雨粒子的降雨分布反演算法。通过分析计算混合相态降雨粒子的散射衰减特性,并利用三层结构的降雨分布模型重新构建了反演算法公式。仿真结果表明,在对流降雨分布模型的配置下,提高了降雨分布反演算法的精度。 A rainfall distribution inversion algorithm based on mixed-phase rainfall particles is proposed to address the vertical structure characteristics of deep convective rainfall and to consider the problem that the forward model of SAR rainfall measurement(i.e.,normalized radar scattering cross-section model)ignores the case of supercooled water near the freezing height,which leads to the underestimation of the inversion results of the SAR rainfall distribution inversion algorithm.The scattering attenuation characteristics of mixed-phase rainfall particles are analytically calculated,and the formulation of the inversion algorithm is reconstructed by using the rainfall distribution model with a three-layer structure.The simulation results show that the accuracy of the rainfall distribution inversion algorithm is improved with the configuration of the convective rainfall distribution model.
出处 《工业控制计算机》 2024年第4期69-71,共3页 Industrial Control Computer
关键词 SAR 散射衰减特性 归一化雷达散射截面 反演算法 SAR scattering attenuation characteristics normalized radar scattering cross section inversion algorithm
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