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Modelling and prediction of atmospheric drag coefficients in LEO satellite orbit determination and prediction with Bi-LSTM approach
Xiang Chen, Chengpan Tang, Wujiao Dai, Xiaogong Hu, Liucheng Chen, Zhongying Zhang, Xinhui Zhu and Mingzhe Li Advances in Space Research 75(3) 2874 (2025) https://doi.org/10.1016/j.asr.2024.10.063
Evaluating F10.7 and F30 radio fluxes as long-term solar proxies of energy deposition in the thermosphere
Sean Bruinsma, Thierry Dudok de Wit, Tim Fuller-Rowell, Katherine Garcia-Sage, Piyush Mehta, Fabian Schiemenz, Yuri Y. Shprits, Ruggero Vasile, Jia Yue and Sean Elvidge Advances in Space Research (2023) https://doi.org/10.1016/j.asr.2023.05.011
Research Advancements in Key Technologies for Space-Based Situational Awareness
Beichao Wang, Shuang Li, Jinzhen Mu, Xiaolong Hao, Wenshan Zhu and Jiaqian Hu Space: Science & Technology 2022 (2022) https://doi.org/10.34133/2022/9802793
A deep learning approach to solar radio flux forecasting
Medium-term Predictions of F10.7 and F30 cm Solar Radio Flux with the Adaptive Kalman Filter
Elena Petrova, Tatiana Podladchikova, Astrid M. Veronig, Stijn Lemmens, Benjamin Bastida Virgili and Tim Flohrer The Astrophysical Journal Supplement Series 254(1) 9 (2021) https://doi.org/10.3847/1538-4365/abef6d
Forecasting the Daily 10.7 cm Solar Radio Flux Using an Autoregressive Model
Review and comparison of empirical thermospheric mass density models
Changyong He, Yang Yang, Brett Carter, Emma Kerr, Suqin Wu, Florent Deleflie, Han Cai, Kefei Zhang, Luc Sagnières and Robert Norman Progress in Aerospace Sciences 103 31 (2018) https://doi.org/10.1016/j.paerosci.2018.10.003