Machine Learning Based Modeling of Thermospheric Mass Density
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DOI: 10.1029/2023sw003844
Abstract: In this study, we propose a machine learning based approach to construct an empirical model of thermospheric mass densities, based on the MultiLayer Perceptron and bi‐directional Long Short‐Term Memory for ensemble learning model (MBiLE). The… read more here.
Keywords: mass density; mbile model; model; thermospheric mass ... See more keywords
Interplanetary Influence on Thermospheric Mass Density: Insights From Deep Learning Analyses
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DOI: 10.1029/2024sw003952
Abstract: In this study, the thermospheric mass density (TMD) features observed by the CHAllenging Minisatellite Payload between 2002 and 2010 were extracted using deep learning (DL) technology; the TMD features were then mapped and modeled with… read more here.
Keywords: deep learning; tmd features; mass density; thermospheric mass ... See more keywords
Eigen‐Swarm: Swarm's Thermospheric Mass Density Modeling via Eigen‐Decomposition
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DOI: 10.1029/2025sw004351
Abstract: Precise thermospheric mass density (TMD) prediction is essential for satellite orbital tracking, reentry calculations, and upper atmospheric processes under varying solar and magnetospheric conditions. In this paper, we construct an empirical model of TMD at… read more here.
Keywords: eigen; thermospheric mass; eigen decomposition; swarm ... See more keywords