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High-range resolution spectral analysis of precipitation through range imaging of the Chung-Li VHF radar

机译:通过Chung-Li VHF雷达测绘成像降水的高范围分辨率光谱分析

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Multi-frequency range imaging (RIM) has been operated in the Chung-Li very high-frequency (VHF) radar, located on the campus of National Central University, Taiwan, since 2008. RIM processes the echo signals with a group of closely spaced transmitting frequencies through appropriate inversion methods to obtain high-resolution distribution of echo power in the range direction. This is beneficial to the investigation of the small-scale structure embedded in dynamic atmosphere. Five transmitting frequencies were employed in the radar experiment for observation of the precipitating atmosphere during the period between 21 and 23?August?2013. Using the Capon and Fourier methods, the radar echoes were synthesized to retrieve the temporal signals at a smaller range step than the original range resolution defined by the pulse width, and such retrieved temporal signals were then processed in the Doppler frequency domain to identify the atmosphere and precipitation echoes. An analysis called conditional averaging was further executed for echo power, Doppler velocity, and spectral width to verify the potential capabilities of the retrieval processing in resolving small-scale precipitation and atmosphere structures. Point-by-point correction of range delay combined with compensation of range-weighting function effect has been performed during the retrieval of temporal signals to improve the continuity of power spectra at gate boundaries, making the small-scale structures in the power spectra more natural and reasonable. We examined stratiform and convective precipitation and demonstrated their different structured characteristics by means of the Capon-processed results. The new element in this study is the implementation of RIM on spectral analysis, especially for precipitation echoes.
机译:多频范围成像(RIM)在钟李非常高频(VHF)雷达中运行,位于台湾国家中央大学校园内,自2008年以来。RIM与一组紧密间隔的回声信号通过适当的反转方法传输频率,以获得在范围方向上的高分辨率分布。这对嵌入动态大气中的小规模结构的调查有益。在雷达实验中使用五个透射频率,用于观察沉淀气氛在21和23日之间的沉淀气氛?八月?2013年。使用CAPON和傅立叶方法,合成雷达回波以在比由脉冲宽度定义的原始范围分辨率的较小范围的步骤处检索时间信号,然后在多普勒频域中处理这种检索的时间信号以识别大气和降水回声。进一步执行称为条件平均值的分析,用于回声功率,多普勒速度和光谱宽度,以验证检索处理在解决小规模降水和大气结构方面的潜在能力。在检索时间信号的检索期间已经执行了范围延迟的点校正与范围加权函数效果的补偿,以改善栅极边界处的功率谱的连续性,使功率谱中的小规模结构更自然合理。我们检查了层状和对流降水,并通过Capon加工结果证明了它们不同的结构特征。本研究中的新元素是实施谱分析轮辋,特别是对于降水回波。

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