Comparison between MAVEN measurements and HELIOSARES coupled models

François Leblanc 1 Ronan Modolo 2 Jean-Yves Chaufray 2 Ludivine Leclercq 2 Shannon M. Curry 3 Janet G. Luhmann 3 Robert J. Lillis 3 Takuya Hara 3 James P. Mcfadden 3 Jasper S. Halekas 4 Nicholas M. Schneider 5 Justin Deighan 5 Bruce Martin Jakosky 5
1 IMPEC - LATMOS
LATMOS - Laboratoire Atmosphères, Milieux, Observations Spatiales
2 HEPPI - LATMOS
LATMOS - Laboratoire Atmosphères, Milieux, Observations Spatiales
3 SSL - Space Sciences Laboratory [Berkeley]
4 Department of Physics and Astronomy [Ames, Iowa]
5 LASP - Laboratory for Atmospheric and Space Physics [Boulder]
Abstract : Mars' MAVEN first measurements have clearly shown that heavy ion precipitation occur. One of the goals of MAVEN mission is to identify the different effects of this precipitation on Mars' atmosphere. In order to look for such effects, we will present a comparison between MAVEN observations and the results of modelling done by the HELIOSARES set of coupled models which describe the magnetosphere (hybrid magnetospheric model, LATHYS), the exosphere (Monte Carlo Exospheric General Model) and the atmosphere (LMD-GCM model). In particular, MAVEN provides the unique opportunity to couple observations of precipitation (STATIC, SWIA measurements) with observations of the exosphere (IUVS). In this work, we will present the comparison between these observations and HELIOSARES simulations and will show what can be deduced from the observations thanks to such comparison.
Document type :
Poster communications
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https://hal-insu.archives-ouvertes.fr/insu-01403778
Contributor : Catherine Cardon <>
Submitted on : Sunday, November 27, 2016 - 5:34:40 PM
Last modification on : Wednesday, August 7, 2019 - 12:19:23 PM

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  • HAL Id : insu-01403778, version 1

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INSU | UPMC | UVSQ | LATMOS | UNIV-PARIS-SACLAY | SORBONNE-UNIVERSITE | SU-SCIENCES

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François Leblanc, Ronan Modolo, Jean-Yves Chaufray, Ludivine Leclercq, Shannon M. Curry, et al.. Comparison between MAVEN measurements and HELIOSARES coupled models. AGU Fall Meeting 2016, Dec 2016, San Francisco, United States. pp.P13A-1899. ⟨insu-01403778⟩

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