Articles | Volume 36, issue 3
https://doi.org/10.5194/angeo-36-761-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-36-761-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
18 May 2018
Regular paper |
| 18 May 2018
| 18 May 2018
Comparison of accelerometer data calibration methods used in thermospheric neutral density estimation
Kristin Vielberg
CORRESPONDING AUTHOR
Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
Ehsan Forootan
Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
School of Earth and Ocean Sciences, Cardiff University, Cardiff CF10 3AT, UK
Christina Lück
Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
Anno Löcher
Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
Jürgen Kusche
Institute of Geodesy and Geoinformation, University of Bonn, Nussallee 17, 53115 Bonn, Germany
Klaus Börger
German Space Situational Awareness Centre (GSSAC), Mühlenstrasse 89, 47589 Uedem, Germany
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Cited
26 citations as recorded by crossref.
- A New 1‐Hourly ERA5‐Based Atmosphere De‐Aliasing Product for GRACE, GRACE‐FO, and Future Gravity Missions F. Yang et al. https://doi.org/10.1029/2021JB021926
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- Joint optimization of a GRACE radiation pressure model, the accelerometer scale factors, and an empirical magnetic-field-induced accelerometer bias F. Jacobs et al. https://doi.org/10.1016/j.asr.2026.04.043
- Density Correction of NRLMSISE-00 in the Middle Atmosphere (20–100 km) Based on TIMED/SABER Density Data X. Cheng et al. https://doi.org/10.3390/atmos11040341
- Precise Orbit Determination and Accuracy Analysis for BDS-3 Satellites Using SLR Observations Z. An et al. https://doi.org/10.3390/rs15071833
- Extended forward and inverse modeling of radiation pressure accelerations for LEO satellites K. Vielberg & J. Kusche https://doi.org/10.1007/s00190-020-01368-6
- Estimating and predicting corrections for empirical thermospheric models E. Forootan et al. https://doi.org/10.1093/gji/ggz163
- Tailored accelerometer calibration by POD for thermospheric density retrieval with GRACE and GRACE-FO F. Wöske et al. https://doi.org/10.1016/j.asr.2024.09.021
- Improved GRACE-FO orbit determination during the 2024 intense geomagnetic storms using onboard accelerometer measurements H. She et al. https://doi.org/10.1007/s10291-026-02104-x
- A method for improving the BDS3-based kinematic precise orbit determination of LEO satellites with single-receiver ambiguity resolution H. Zhang et al. https://doi.org/10.1016/j.asr.2025.01.004
- New thermosphere neutral mass density and crosswind datasets from CHAMP, GRACE, and GRACE-FO C. Siemes et al. https://doi.org/10.1051/swsc/2023014
- Autonomous Exploration of a Small Near-Earth Asteroid S. Takahashi & D. Scheeres https://doi.org/10.2514/1.G005733
- Thermosphere densities derived from Swarm GPS observations J. van den IJssel et al. https://doi.org/10.1016/j.asr.2020.01.004
- GRACE-FO accelerometer performance analysis and calibration J. Zhang et al. https://doi.org/10.1007/s10291-023-01487-5
- Updated radiation pressure force modeling and validation: case studies for GRACE and Sentinel-6 MF K. Vielberg et al. https://doi.org/10.1007/s00190-025-02000-1
- Calibration of spaceborne accelerometer through satellite dynamic precise orbit determination: Enhancements and evaluations C. Wei et al. https://doi.org/10.1016/j.ast.2025.111601
- A simultaneous calibration and data assimilation (C/DA) to improve NRLMSISE00 using thermospheric neutral density (TND) from space-borne accelerometer measurements E. Forootan et al. https://doi.org/10.1093/gji/ggaa507
- GROOPS: A software toolkit for gravity field recovery and GNSS processing T. Mayer-Gürr et al. https://doi.org/10.1016/j.cageo.2021.104864
- Concept of small mission for space weather investigations of magnetosphere–ionosphere–thermosphere coupling P. Jujeczko et al. https://doi.org/10.1016/j.actaastro.2026.05.057
- Time-variable gravity fields and ocean mass change from 37 months of kinematic Swarm orbits C. Lück et al. https://doi.org/10.5194/se-9-323-2018
- Calibration of high accuracy accelerometers for ESA missions BepiColombo and JUICE at INRIM M. Astrua et al. https://doi.org/10.1088/1361-6501/ace20c
- Assimilation and Modeling of Thermospheric Neutral Density Using Observations from LEO Satellites G. Ghazavi et al. https://doi.org/10.66224/jgit.13.3.47
- Improving the estimation of thermospheric neutral density via two-step assimilation of in situ neutral density into a numerical model A. Corbin & J. Kusche https://doi.org/10.1186/s40623-022-01733-z
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- Enhanced orbit and baseline determination for formation-flying LEO satellites with spaceborne accelerometer measurements C. Wei et al. https://doi.org/10.1007/s00190-023-01753-x
- ASSESSMENT OF PASSIVE DEORBITING OF THE KAZAKH EARTH REMOTE SENSING SATELLITES KAZEOSAT-1 AND KAZEOSAT-2 A. Kulakayeva et al. https://doi.org/10.37943/25KZEM7835
Latest update: 13 Sep 2026
Short summary
To predict the satellite's motion or its re-entry, the density surrounding the satellite needs to be known as precisely as possible. Usually empirical models are used to estimate the neutral density of the thermosphere, which is the region of the neutrally charged atmosphere. Here, based on calibrated accelerations measured by instruments on board satellites, we compute daily global maps to correct modeled densities. During times of high solar activity, corrections of up to 28 % are necessary.
To predict the satellite's motion or its re-entry, the density surrounding the satellite needs...
