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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Latitudinally dependent Trimpi effects: Modeling and observations
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Latitudinally dependent Trimpi effects: Modeling and observations

机译:经纬度相关的Trimpi效应:建模和观察

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Modeling studies show that the exclusion of the propagating VLF wave from the ionospheric region results in the decline of Trimpi magnitude with patch altitude. In large models such as Long Wave Propagation Capability (LWPC) this exclusion does not occur inherently in the code, and high-altitude precipitation modeling can produce results that are not consistent with observations from ground-based experiments. The introduction to LWPC of realistic wave attenuation of the height gain functions in the ionosphere solves these computational problems. This work presents the first modeling of (Born) Trimpi scattering at long ranges, taking into account global inhomogeneities and continuous mode conversion along all paths, by employing the full conductivity perturbation matrix. The application of the more realistic height gain functions allows the prediction of decreasing Trimpi activity with increasing latitude, primarily through the mechanism of excluding the VLF wave from regions of high conductivity and scattering efficiency. Ground-based observations from Faraday and Rothera, Antarctica, in September and October 1995 of Trimpi occurring on the NPM (Hawaii) path provide data that are consistent with these predictions. Latitudinal variations in Trimpi occurrence near L = 2.5, with a significant decrease of about 70% occurrence between L = 2.4 and L = 2.8, have been observed at higher L shell resolution than in previous studies (i.e., 2 < L < 3).
机译:建模研究表明,从电离层区域排除正在传播的VLF波会导致Trimpi幅度随斑块高度而下降。在诸如长波传播能力(LWPC)的大型模型中,此排除并非固有地发生在代码中,并且高空降水模型所产生的结果可能与来自地面实验的观测结果不一致。在LWPC中引入电离层中高度增益函数的实际波衰减解决了这些计算问题。这项工作提出了第一个(Born)Trimpi散射的长距离建模,该模型考虑了全局不均匀性以及通过使用完整的电导率扰动矩阵沿所有路径的连续模式转换。更现实的高度增益函数的应用主要是通过从高电导率和散射效率区域中排除VLF波的机制,可以预测随着纬度的增加Trimpi活性会降低。 1995年9月和1995年10月在南太平洋法拉第和罗瑟拉的Trimpi在NPM(夏威夷)路径上进行的地面观测提供的数据与这些预测相符。在L壳分辨率高于以前的研究中(2

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