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Improved estimation of Mars ionosphere total electron content

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posted on 2018-01-23, 14:37 authored by M. Cartacci, B. Sánchez-Cano, R. Orosei, R. Noschese, A. Cicchetti, O. Witasse, F. Cantini, A. Rossi
We describe an improved method to estimate the Total Electron Content (TEC) of the Mars ionosphere from the echoes recorded by the Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) (Picardi et al., 2005; Orosei et al., 2015) onboard Mars Express in its subsurface sounding mode. In particular, we demonstrate that this method solves the issue of the former algorithm described at (Cartacci et al., 2013), which produced an overestimation of TEC estimates on the day side. The MARSIS signal is affected by a phase distortion introduced by the Mars ionosphere that produces a variation of the signal shape and a delay in its travel time. The new TEC estimation is achieved correlating the parameters obtained through the correction of the aforementioned effects. In detail, the knowledge of the quadratic term of the phase distortion estimated by the Contrast Method (Cartacci et al., 2013), together with the linear term (i.e. the extra time delay), estimated through a radar signal simulator, allows to develop a new algorithm particularly well suited to estimate the TEC for solar zenith angles (SZA) lower than 95° The new algorithm for the dayside has been validated with independent data from MARSIS in its Active Ionospheric Sounding (AIS) operational mode, with comparisons with other previous algorithms based on MARSIS subsurface data, with modeling and with modeling ionospheric distortion TEC reconstruction.

Funding

The authors gratefully acknowledge support from the Italian Space Agency (ASI) through contract I/032/12/1. The numerical code for the simulation of surface scattering was developed at the Consorzio Interuniversitario per il Calcolo Automatico dell'Italia Nord-Orientale (CINECA) in Bologna, Italy. Simulations were produced thanks to the Partnership for Advanced Computing in Europe (PRACE), awarding us access to the SuperMUC computer at the Leibniz-Rechenzentrum, Garching, Germany. Test simulations were run on the Jacobs University CLAMV HPC cluster, and we are grateful to Achim Gelessus for his support. B.S.-C. acknowledges support through STFC grants ST/N000749/1 and ST/K001000/1. Sandro.M. Radicella is acknowledged for useful discussions at an early stage of this work. Operations of the Mars Express spacecraft by the European Space Agency (ESA) are gratefully acknowledged.

History

Citation

Icarus, 2018, 299, pp. 396-410

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy

Version

  • VoR (Version of Record)

Published in

Icarus

Publisher

Elsevier for Academic Press

issn

0019-1035

Acceptance date

2017-07-30

Copyright date

2017

Available date

2018-01-23

Publisher version

https://www.sciencedirect.com/science/article/pii/S0019103516306935?via=ihub

Language

en

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