Abstract
Here we present some theoretical aspects of the modeling of aerodynamic acceleration in the precise orbit determination of a LEO satellite. We have included this section because of the great importance of the role that aerodynamic drag plays in all gravity field missions, as they are typically placed in a very low LEO orbit. Thus, here we look at the geometrical properties of this effect. We show that the accuracy of the velocity in the calculation of the aerodynamic drag for a LEO satellite, in particular the velocity of thermospheric horizontal winds, is as important as the atmospheric density. We then give a geographical representation of the models used to calculate atmospheric density and thermospheric horizontal winds, with an emphasis on the GOCE (Sun-synchronous) orbit, and compare this with the orbits of altimetry satellites in high LEO. In addition, we present the prospects of investigating atmospheric density and thermospheric winds using the GOCE mission at 220–250 km altitude. Models of neutral horizontal winds show that thermospheric winds mainly occur around the geomagnetic poles where they are driven by the perturbations in the geomagnetic field. The highest thermospheric wind velocities may be expected along the dawn-dusk regions, and from that point of view, the GOCE orbit is the perfect candidate to provide unique information on the neutral horizontal winds in the lower thermosphere. Section 10.3 of this thesis triggered an ESA study that demonstrated the retrieval of thermospheric wind parameters from GOCE data. At the end of this section, we demonstrate a novel approach to calculating and predicting air density in the thermosphere based on the global TEC maps provided by IGS. This approach could be used to predict solar activity in an alternative way, independent of the number of Sun spots or the solar flux index at a wavelength of 10.7 cm (F10.7). We also show that information on the ionization of the thermospheric part of the ionosphere, as provided in IGS TEC maps, can be used to calculate the LEO mission duration (as was done for GOCE). This opens up new applications for the global IGS TEC maps in monitoring air density in the thermosphere, including spatial and temporal variations. In addition, we show that variations in air density driven by variations in solar activity (heating) are empirically proportional to the ionization of the ionosphere. Thermospheric density and TEC can be related by an empirical linear model as shown here.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bates DR (1959) Some problems concerning the terrestrial atmosphere above about the 100 km level. Proc R Soc Lond A 253:451–462. https://doi.org/10.1098/rspa.1959.0207
Bowman BR, Kent Tobiska W, Marcos FA et al (2008) A new empirical thermospheric density model JB2008 using new solar and geomagnetic indices
Bruinsma S, Loyer S, Lemoine JM et al (2003) The impact of accelerometry on CHAMP orbit determination. J Geodesy 77:86–93. https://doi.org/10.1007/s00190-002-0304-3
Doornbos E, Bruinsma S, Koppenwallner G et al (2012) Thermospheric density and wind from GOCE thruster activation and accelerometer data. In: EGU general assembly conference abstracts, p 5634
Hedin AE (1987) MSIS-86 thermospheric model. J Geophys Res 92:4649–4662
Hedin AE (1991) Extension of the MSIS thermosphere model into the middle and lower atmosphere. J Geophys Res 96:1159–1172
Hedin AE, Biondi MA, Burnside RG et al (1991) Revised global model of thermosphere winds using satellite and ground-based observations. J Geophys Res 96:7657–7688
Hedin AE, Fleming EL, Manson AH et al (1996) Empirical wind model for the upper, middle and lower atmosphere. J Atmos Terr Phys 58:1421–1447. https://doi.org/10.1016/0021-9169(95)00122-0
Hansen JR (1987) Engineer in charge: a history of the Langley Aeronautical Laboratory, 1917–1958. Scientific and Technical Information Office, National Aeronautics and Space Administration
Montenbruck O, Gill E (2000) Satellite orbits: models, methods, and applications. Springer
NOAA (2009) NOAA’s national geophysical data center (NGDC). ftp://ftp.ngdc.noaa.gov/STP/SOLAR_DATA/SOLAR_RADIO/FLUX
Peterseim N, Schlicht A, Stummer C, Yi W (2011) Impact of cross winds in polar regions on GOCE accelerometer and gradiometer data. In: Proceedings of 4th international GOCE user workshop, Munich, Germany, 31 March–1 April 2011 (ESA SP-696, July 2011), Munich, Germany
Picone JM, Hedin AE, Drob DP, Aikin AC (2002) NRLMSISE-00 empirical model of the atmosphere: statistical comparisons and scientific issues. J Geophys Res 107:1468. https://doi.org/10.1029/2002JA009430
Shum CK, Abusali PAM, Lee H, Ogle J, Raney RK, Ries JC, Smith WHF, Svehla D, Zhao C (2008) Orbit determination requirements for ABYSS: a proposed space station science payload. Adv Astronaut Sci 130:1207–1218
Shum CK, Abusali PAM, Kuo CY, Lee H, Ogle J, Raney RK, Ries JC, Smith WHF, Svehla D, Zhao C (2009) Orbit accuracy requirement for ABYSS: the space station radar altimeter to map global bathymetry. IEEE Geosci Remote Sens Lett 6(4):653–657. ISSN 1545-598X. https://doi.org/10.1109/lgrs.2009.2012877
Švehla D, Rothacher M (2002) Kinematic orbit determination of LEOs based on zero– or double–difference algorithms using simulated and real SST data. In: Vistas for geodesy in the new millenium. International Association of Geodesy Symposia, vol 125. Springer, Berlin, pp 322–328. https://doi.org/10.1007/978-3-662-04709-5_53
Švehla D, Rothacher M (2005a) Kinematic positioning of LEO and GPS satellites and IGS stations on the ground. Adv Space Res 36:376–381. https://doi.org/10.1016/j.asr.2005.04.066
Švehla D, Rothacher M (2005b) Kinematic precise orbit determination for gravity field determination. In: A window on the future of geodesy. International Association of Geodesy Symposia, vol 128. Springer, Berlin, pp 181–188. https://doi.org/10.1007/3-540-27432-4_32
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Svehla, D. (2018). Aerodynamics in Low LEO: A Novel Approach to Modeling Air Density Based on IGS TEC Maps. In: Geometrical Theory of Satellite Orbits and Gravity Field . Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-76873-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-76873-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76872-4
Online ISBN: 978-3-319-76873-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)