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

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)....

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Main Authors: D. Masutti, G. March, A. J. Ridley, J. Thoemel
Format: Article
Language:English
Published: Copernicus Publications 2016-09-01
Series:Annales Geophysicae
Online Access:https://www.ann-geophys.net/34/725/2016/angeo-34-725-2016.pdf
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spelling doaj-46f06d7f9e8c4c5695aee7aeb372e47e2020-11-24T20:59:53ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762016-09-013472573610.5194/angeo-34-725-2016Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)D. Masutti0G. March1A. J. Ridley2J. Thoemel3Von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode 1640, BelgiumDelft University of Technology, Delft 2629 HS, the NetherlandsUniversity of Michigan, Ann Arbor, MI 48109, USAVon Karman Institute for Fluid Dynamics, Sint-Genesius-Rode 1640, BelgiumThe 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.https://www.ann-geophys.net/34/725/2016/angeo-34-725-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Masutti
G. March
A. J. Ridley
J. Thoemel
spellingShingle D. Masutti
G. March
A. J. Ridley
J. Thoemel
Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
Annales Geophysicae
author_facet D. Masutti
G. March
A. J. Ridley
J. Thoemel
author_sort D. Masutti
title Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
title_short Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
title_full Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
title_fullStr Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
title_full_unstemmed Effect of the solar activity variation on the Global Ionosphere Thermosphere Model (GITM)
title_sort effect of the solar activity variation on the global ionosphere thermosphere model (gitm)
publisher Copernicus Publications
series Annales Geophysicae
issn 0992-7689
1432-0576
publishDate 2016-09-01
description 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.
url https://www.ann-geophys.net/34/725/2016/angeo-34-725-2016.pdf
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