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Accuracy Assessment of the TLE-derived Orbital Atmospheric Densities

Ren, Tingling, Luo, Bingxian, Miao, Juan, Wang, Ronglan, Wang, Xin, and Liu, Siqing, 2025. Accuracy Assessment of the TLE-derived Orbital Atmospheric Densities. Chinese Journal of Space Science, 45(3):717–728, doi:10.11728/cjss2025.03.2024-0060.

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BibTeX

@ARTICLE{2025ChJSS..45..717R,
       author = {{Ren}, Tingling and {Luo}, Bingxian and {Miao}, Juan and {Wang}, Ronglan and {Wang}, Xin and {Liu}, Siqing},
        title = "{Accuracy Assessment of the TLE-derived Orbital Atmospheric Densities}",
      journal = {Chinese Journal of Space Science},
     keywords = {TLE-derived densities, Improvement ratios, Empirical atmospheric models},
         year = 2025,
        month = may,
       volume = {45},
       number = {3},
        pages = {717-728},
     abstract = "{In this research, we derived TLE-based atmospheric densities along CHAMP
        and GRACE-A orbits, and the density errors were calculated based
        on the high-accuracy accelerometer densities, empirical models
        errors including NRLMSISE-00, JB2008 and MSIS2.0 were also
        estimated for comparison. Improvement ratios, which defined as
        the percentage of TLE density errors smaller than that of
        empirical models, were given in the subsequent contents, and lay
        a theoretical foundation for the accuracy and application of the
        TLE-derived densities. TLE data ranged from 2002 to 2017, and
        two different kinds of densities, including TLE-averaged and
        TLE-calibrated densities, were derived. The former ones have a
        temporal resolution of 3 days, and were independent of the
        empirical models; the latter ones were calibrated values which
        relies on the empirical models. Results indicate that the TLE-
        averaged densities have a general average error smaller than
        5\%, and a standard deviation no bigger than 8\%; the TLE-
        calibrated densities have the minimum errors during geomagnetic
        quiet conditions, with the improvement ratios bigger than 80\%.}",
          doi = {10.11728/cjss2025.03.2024-0060},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025ChJSS..45..717R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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