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Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan during 2014–2019 and the 2016 Kumamoto Earthquake

机译:2014 - 2019年期间在日本电离层总电子含量的空间和时间变化研究及2016年熊本震

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摘要

There are a large number of excellent research cases in Global Navigation Satellite System (GNSS) positioning and disaster prediction in Japan region, where the simulation and prediction of total electron content (TEC) is a powerful research method. In this study, we used the data of the GNSS Earth Observation Network (GEONET) established by the Geographical Survey Institute of Japan (GSI) to compare the performance of two regional ionospheric models in Japan, in which the spherical cap harmonic (SCH) model has the best performance. In this paper, we investigated the spatial and temporal variations of ionospheric TEC in Japan and their relationship with latitude, longitude, seasons, and solar activity. The results show that the TEC in Japan increases as the latitude decreases, with the highest average TEC in spring and summer and the lowest in winter, and has a strong correlation with solar activity. In addition, the observation and analysis of ionospheric disturbances over Japan before the 2016 Kumamoto earthquake and geomagnetic storms showed that GNSS observing of ionospheric TEC seems to be very effective in forecasting natural disasters and monitoring space weather.
机译:在全球导航卫星系统(GNSS)定位和日本地区灾害预测中存在大量优秀的研究案例,其中仿真和预测总电子含量(TEC)是一种强大的研究方法。在这项研究中,我们使用了由日本地理调查研究所(GSI)建立的GNSS地球观测网络(Geonet)的数据来比较日本两个区域电离层模型的性能,其中球形帽谐波(SCH)模型具有最佳性能。在本文中,我们调查了日本电离层TEC的空间和时间变化及其与纬度,经度,季节和太阳能活动的关系。结果表明,日本的TEC随着纬度的降低而增加,春季和夏季最高的平均TEC,冬季最低,与太阳能活动有着强烈的相关性。此外,在2016年熊本地震和地磁风暴之前对日本电离层紊乱的观察与分析表明,观察远离电离层TEC的GNSS似乎非常有效地预测自然灾害和监测空间天气。

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