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Analysis of the data processing strategies of spherical harmonic expansion model on global ionosphere mapping for moderate solar activity

机译:适度太阳能活动全局电离层映射的球面谐波扩展模型数据处理策略分析

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Spherical harmonic (SH) expansion is widely used to model the global ionosphere map (GIM) of vertical total electron content (VTEC). According to the impact of different data processing methods of the SH expansion model on the VTEC maps, we specifically performed comprehensive analysis in terms of the data sampling rate, the time resolution, the spherical harmonic degree, and the relative constraint. One month of GPS data (January in 2016) from the International GNSS (Global Navigation Satellite System) Service (IGS) network in a moderate ionospheric activity period at the descending phase of Solar Cycle 24 was processed. To improve the computational efficiency of the daily GIM generation, the data sampling rate of 5 min was recommended allowing the GIM precision loss within 0.10 TECU (total electron content unit). The global VTEC map could be better represented in temporal and spatial domains with higher time resolution and higher spherical harmonic degree, especially at low latitude bands and in the southern hemisphere. The GIM precision improvement was about 10.91% for 1-h and about 15.15% for 0.5-h compared with the commonly used 2-h time resolution. The use of spherical harmonic degree 17 or 20 instead of 15 could improve the precision by 3.19% or 6.06%. We also found that an optimal relative constraint had to be found experimentally considering both the GIM precision and the GIM root mean square (RMS) map. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:球形谐波(SH)膨胀广泛用于模拟垂直总电子含量(VTEC)的全局电离层地图(GIM)。根据SH扩展模型在VTEC地图上的不同数据处理方法的影响,我们在数据采样率,时间分辨率,球面谐波度和相对约束方面具体进行了综合分析。处理了从国际GNSS(2016年1月)的GPS数据(全球导航卫星系统)服务(IGS)网络在太阳循环24的下降阶段的中等电离层活动期间中的使用(IGS)网络。为了提高日常GIM生成的计算效率,建议使用5分钟的数据采样率,允许在0.10 TECU(总电子含量单位)内的GIM精度损失。全局VTEC地图可以更好地代表时间和空间域中,具有较高的时间分辨率和更高的球形谐波度,尤其是在低纬度带和南半球的较高的球形谐波度。与常用的2-H时间分辨率相比,GIM精度改善约为10.91%,约为15.15%,约为15.15%。球形谐波度17或20代替15的使用可以将精度提高3.19%或6.06%。我们还发现,必须通过实验地考虑GIM精度和GIM均方格(RMS)图来实验地发现最佳的相对约束。 (c)2018 Cospar。 elsevier有限公司出版。保留所有权利。

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