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The effects of physical events on the ionosphere structure is an important field of study, especially for navigation and radio communication. The paper presents the spatio-temporal ionospheric TEC response to the recent annular solar eclipse on June 21, 2020, which spans across two continents, Africa and Asia, and 14 countries. This eclipse took place on the same day as the June Solstice. The Global Navigation Satellite System (GNSS) based TEC data of the Global Ionosphere Maps (GIMs), 9 International GNSS Service (IGS) stations and FORMOSAT-7/COSMIC-2 (F7/C2) were utilized to analyze TEC response during the eclipse. The phases of the TEC time series were determined by taking the difference of the observed TEC values on eclipse day from the previous 5-day median TEC values. The results showed clear depletions in the TEC time series on June 21. These decreases were between 1 and 9 TECU (15–60%) depending on the location of IGS stations. The depletions are relatively higher at the stations close to the path of annular eclipse than those farther away. Furthermore, a reduction of about ?10 TECU in the form of an equatorial plasma bubble (EPB) was observed in GIMs at ~20° away from the equator towards northpole, between 08:00–11:00 UT where its maximum phase is located in southeast Japan. Additionally, an overall depletion of ~10% was observed in F7/C2 derived TEC at an altitude of 240 km (hmF2) in all regions affected by the solar eclipse, whereas, significant TEC fluctuations between the altitudes of 100 km ? 140 km were analyzed using the Savitzky-Golay smoothing filter. To prove TEC depletions are not caused by space weather, the variation of the sunspot number (SSN), solar wind (VSW), disturbance storm-time (Dst), and Kp indices were investigated from 16th to 22nd June. The quiet space weather before and during the solar eclipse proved that the observed depletions in the TEC time series and profiles were caused by the annular solar eclipse.  相似文献   
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介绍了以Google Maps为平台的模拟飞行轨迹动态显示系统的设计与实现过程。首先对Google Maps以及所使用的模拟飞行训练系统进行了介绍,然后对系统实现过程中的主要使用技术作了说明。本文的重点是模拟飞行轨迹显示系统的动态功能的实现过程,其中对系统的主要功能以及系统运行流程进行了阐述,并对所使用的算法进行了分析。最后是模拟飞行轨迹显示系统的运行效果图。  相似文献   
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For deriving global maps of the Total Electron Content (TEC) from space geodetic techniques usually observations from the Global Navigation Satellite System (GNSS) are taken. However, the GNSS stations are inhomogeneously distributed, with large gaps particularly over the sea surface.  相似文献   
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在日固坐标系(地磁纬度和地方时)下, 累积地方时过去24h的COSMIC(Constellation Observing System for Meteorology Ionosphere andClimate)观测资料, 通过对110$sim$750km高度范围内的电子密度进行数值积分得到各掩星点的垂直TEC值, 进而利用Kriging方法插值产生近实时的全球地方时MAGLat2.5°×2h的COSMIC TEC图. 利用2008年1月1日至2010年6月30日共30个月的COSMIC数据, 逐日构建COSMICTEC图, 将其与全球导航卫星系统服务组织(International GNSS Service,IGS)发布的全球电离层TEC图(Global Ionospheric Maps, GIMs)以及OSTM/JASON-2卫星高度计观测值分别进行比对,证明利用COSMIC掩星资料构建全球电离层垂直TEC图是可行的.   相似文献   
5.
为研究中国陆态网区域电离层TEC在空间小尺度、高分辨率情况下的变化特性及适用精度范围,利用陆态网260个GNSS连续运行观测站数据,解算并生成2016-2017年731天陆态网区域电离层RIM格网,并进行精度验证.在同一RIM格网中,分别在经度和纬度方向上对间隔不同经纬度的TEC格网点作差分析.结果表明:陆态网区域内经度方向上TEC最大变化率和平均变化率分别为0.30TECU·(°)-1和0.11TECU·(°)-1;经度间隔1°时,TEC差值小于2TECU,且随着经度间隔的增大,其TEC差值也随之增大,并表现出一定的半年和周年变化规律;纬度方向上TEC最大变化率和平均变化率分别为1.7TECU·(°)-1和0.46TECU·(°)-1;陆态网区域内电离层TEC随纬度减小而增大,纬度间隔1°时,99.4%的TEC差值小于4TECU,且随着纬度间隔的增大,其TEC差值也随之增大,并表现出一定的半年和周年变化规律;间隔相同情况下,纬度方向上TEC的变化比经度方向上大.   相似文献   
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