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如果您有任何问题,欢迎您联系第一作者。(电子邮件:panqian@whu.edu.cn) 本文重点介绍了使用62列特征参数作为MLP和BiLSTM积分获得的模型的输入来预测热层质量密度。只有 Swarm 卫星数据用于模型的训练、验证和测试。 一、数据集 或者,您可以创建自己的数据集,该数据集由 62 列输入参数和 1 列输出参数(热层质量密度)组成,如文中所述,所有参数的分辨率线性插值为 10 秒均匀。总体时间范围为2014.02.01-2020.09.30。我们也提供生成的数据集,但由于数据集较大,因此将其拆分为多个文件(subset_i),使用时可以自行合并。 二、守则 模型框架在“模型framework.bmp”中进行了描述,有关详细说明,请参阅本文的模型构造部分,有关具体代码 ...
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Improving orbit prediction via thermospheric density calibration
2023The uncertainty on Thermospheric Mass Density (TMD), as derived from atmospheric models, can reach extremely high values. This effect is noteworthy in Low Earth Orbit (LEO), where atmospheric drag is the main perturbing force, as well as the most uncertain.
Callejon Cantero, M. (author) +2 more
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Thermospheric density variations associated with auroral electrojet activity
Journal of Geophysical Research, 1973Thermosphenc density variations observed during the time period of August 6-8, 1968, are studied in relation to auroral electrojet activity. In situ density measurements were obtained by the accelerometer experiment on the Air force low-altitude density research satellite OV1-15.
J. M. Forbes, F. A. Marcos
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Mean thermospheric density estimation derived from satellite constellations
Advances in Space Research, 2015Abstract This paper defines a method to estimate the mean neutral density of the thermosphere given many satellites of the same form factor travelling in similar regions of space. A priori information to the estimation scheme include ranging measurements and a general knowledge of the onboard ADACS, although precise measurements are not required for ...
Alan Li, Sigrid Close
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Thermospheric Density Variability and Forecast Model Development.
1997Abstract : Thermospheric densities derived from SETA-1, SETA-2 and SETA-3 accelerometer data, and cross track winds from SETA-1, were analyzed to determine the nature of latitudinal structures at latitudes greater than 45 degrees. Distinct dependencies on magnetic activity level, local time, hemisphere and season are revealed.
Timothy Fuller-Rowell, Jeffrey M. Forbes
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Density and composition of the lower thermosphere
Journal of Geophysical Research, 1973This paper presents a new median model of the lower thermosphere. It is based on a critical evaluation of all the measurements of density and composition in this region and carries forward the process of re-examination begun by von Zahn in this 1970 paper.
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Thermosphere density from accelerometer and GNSS data
Thermosphere density is one of the largest sources of uncertainty in the orbit estimation and prediction for satellites in low Earth orbit. With the rapidly growing number of satellites in this region, accurate knowledge of thermosphere density is becoming increasingly important for e.g.Jose van den IJssel +4 more
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Air density in the lower thermosphere
2nd Annual Meeting, 1965R. POE, H. SMALL
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Real‐Time Thermospheric Density Estimation via Radar and GPS Tracking Data Assimilation
Space Weather, 2021David J Gondelach, Richard Linares
exaly
Machine learning-based approach for thermospheric density prediction
For satellites at low altitudes, atmospheric drag is the dominant non-conservative perturbation force and is the most difficult cause for predicting the orbits of low Earth orbit (LEO) satellites. Among all the factors affecting the drag force, thermospheric density is presently the predominantly uncertain term. This dissertation presents a significantopenaire +1 more source