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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 34, issue 9
Ann. Geophys., 34, 725–736, 2016
https://doi.org/10.5194/angeo-34-725-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 34, 725–736, 2016
https://doi.org/10.5194/angeo-34-725-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular paper 01 Sep 2016

Regular paper | 01 Sep 2016

Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)

Davide Masutti1, Günther March2, Aaron J. Ridley3, and Jan Thoemel1 Davide Masutti et al.
  • 1Von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode 1640, Belgium
  • 2Delft University of Technology, Delft 2629 HS, the Netherlands
  • 3University of Michigan, Ann Arbor, MI 48109, USA

Abstract. The accuracy of global atmospheric models used to predict the middle/lower thermosphere characteristics is still an open topic. Uncertainties in the prediction of the gas properties in the thermosphere lead to inaccurate computations of the drag force on space objects (i.e. satellites or debris). Currently the lifetime of space objects and therefore the population of debris in low Earth orbit (LEO) cannot be quantified with a satisfactory degree of accuracy. In this paper, the Global Ionosphere Thermosphere Model (GITM) developed at the University of Michigan has been validated in order to provide detailed simulations of the thermosphere. First, a sensitivity analysis has been performed to investigate the effect of the boundary conditions on the final simulations results. Then, results of simulations have been compared with flight measurements from the CHallenging Minisatellite Payload (CHAMP) and Gravity Recovery and Climate Experiment (GRACE) satellites and with existing semi-empirical atmospheric models (IRI and MSIS). The comparison shows a linear dependency of the neutral density values with respect to the solar activity. In particular, GITM shows an over-predicting or under-predicting behaviour under high or low solar activity respectively. The reasons for such behaviour can be attributed to a wrong implementation of the chemical processes or the gas transport properties in the model.

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The Global Ionosphere Thermosphere Model has been validated against flight data. The validation shows a linear dependency of the neutral density values with respect to the solar activity. In particular, the thermosphere model shows an over-predicting or under-predicting behaviour under high or low solar activity respectively. The reasons for such behaviour can be attributed to an erroneous implementation of the chemical processes or the gas transport properties in the model.
The Global Ionosphere Thermosphere Model has been validated against flight data. The validation...
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