万卫星1,2,3,
乐新安1,2,3,,,
任志鹏1,2,3,
佘承莉1,2,3
1. 地球与行星物理重点实验室, 中国科学院地质与地球物理研究所, 北京 100029
2. 中国科学院地球科学研究院, 北京 100029
3. 中国科学院大学地球与行星科学学院, 北京 100049
基金项目: 国家自然科学基金重大仪器专项(41427901)和基金委创新群体(41621063)资助
详细信息
作者简介: 王林, 女, 1992年生, 中国科学院地质与地球物理研究所硕士研究生, 目前从事电离层探测研究
通讯作者: 乐新安, 男, 研究员, 博士生导师, 现主要从事非相干散射探测技术、电离层及空间天气效应、数据同化、GNSS无线电掩星技术等研究.E-mail:yuexinan@mail.iggcas.ac.cn
中图分类号: P352收稿日期:2018-05-05
修回日期:2019-01-20
上线日期:2019-05-05
Estimate the topside electron density profile using empirical orthogonal function
WANG Lin1,2,3,WAN WeiXing1,2,3,
YUE XinAn1,2,3,,,
REN ZhiPeng1,2,3,
SHE ChengLi1,2,3
1. Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
2. Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China
3. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
More Information
Corresponding author: YUE XinAn,E-mail:yuexinan@mail.iggcas.ac.cn
MSC: P352--> Received Date: 05 May 2018
Revised Date: 20 January 2019
Available Online: 05 May 2019
摘要
摘要:本文基于IRI模型、地面数字测高仪和GNSS TEC数据,提出了一种利用经验正交函数(Empirical Orthogonal Function,简称EOF)估算顶部电离层电子密度剖面的方法,并将其应用于美国Millstone Hill测高仪和GNSS数据以估算顶部电离层电子密度剖面.通过将估算的临界频率、峰值高度、400 km以上电子密度分别与测高仪实测临界频率、测高仪实测峰值高度以及非相干散射雷达实测400 km以上电子密度作对比以对方法的有效性进行验证.统计结果显示估算临界频率、峰值高度与测高仪实测数据基本一致,400 km以上估算电子密度相较于非相干散射雷达实测的绝对误差平均值仅是测高仪推算400 km以上电子密度绝对误差平均值的一半左右.所以本文提出的方法可以更加精确地估算顶部电离层电子密度.
关键词: 数字测高仪/
IRI/
TEC/
经验正交函数/
顶部电离层/
电子密度
Abstract:Based on the international reference ionosphere (IRI) model, digital ionosonde and GNSS TEC data, we proposed a method which uses the empirical orthogonal function to estimate the topside ionospheric electron density profile and applied it to the Millstone Hill station. We then compared the estimated critical frequency and peak height with the digital ionosonde observations, and compared the estimated electron density above 400 km with density observed by incoherent scatter radar (ISR). Statistical results show that the estimated critical frequency and peak height are in consistent with the digital ionosonde data, the absolute error between modeled and ISR measured density above 400 km reduces 50% in comparison with that between digital ionosonde derivations and ISR. In summary, adding GNSS TEC in addition to digisonde could improve the topside ionospheric electron density estimation by our method accurately.
Key words:Digital ionosonde/
IRI/
TEC/
Empirical orthogonal function/
Topside ionosphere/
Electron density
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