Thermosphere densities derived from Swarm GPS observations
| Autor: | Günther March, Eelco Doornbos, Elisabetta Iorfida, Christian Siemes, Jose van den IJssel, Oliver Montenbruck |
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| Rok vydání: | 2020 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences GPS Aerospace Engineering 01 natural sciences Computer Science::Robotics Acceleration 0103 physical sciences Swarm 010303 astronomy & astrophysics 0105 earth and related environmental sciences Thermosphere density business.industry Swarm behaviour Astronomy and Astrophysics Geodesy Geophysics Space and Planetary Science Temporal resolution Physics::Space Physics Orbit (dynamics) Global Positioning System General Earth and Planetary Sciences Environmental science Satellite Astrophysics::Earth and Planetary Astrophysics Thermosphere business Orbit determination |
| Zdroj: | BASE-Bielefeld Academic Search Engine Advances in Space Research, 65(7) |
| ISSN: | 0273-1177 |
| Popis: | After the detection of many anomalies in the Swarm accelerometer data, an alternative method has been developed to determine thermospheric densities for the three-satellite mission. Using a precise orbit determination approach, non-gravitational and aerodynamic-only accelerations are estimated from the high-quality Swarm GPS data. The GPS-derived non-gravitational accelerations serve as a baseline for the correction of the Swarm-C along-track accelerometer data. The aerodynamic accelerations are converted directly into thermospheric densities for all Swarm satellites, albeit at a much lower temporal resolution than the accelerometers would have been able to deliver. The resulting density and acceleration data sets are part of the European Space Agency Level 2 Swarm products. To improve the Swarm densities, two modifications have recently been added to our original processing scheme. They consist of a more refined handling of radiation pressure accelerations and the use of a high-fidelity satellite geometry and improved aerodynamic model. These modifications lead to a better agreement between estimated Swarm densities and NRLMSISE-00 model densities. The GPS-derived Swarm densities show variations due to solar and geomagnetic activity, as well as seasonal, latitudinal and diurnal variations. For low solar activity, however, the aerodynamic signal experienced by the Swarm satellites is very small, and therefore it is more difficult to accurately resolve latitudinal density variability using GPS data, especially for the higher-flying Swarm-B satellite. Therefore, mean orbit densities are also included in the Swarm density product. |
| Databáze: | OpenAIRE |
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