4.5 Article

Ionization Efficiency in the Dayside Ionosphere of Mars: Structure and Variability

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
Volume 126, Issue 12, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021JE006923

Keywords

Mars; ionization; efficiency; ionosphere; dayside; electron

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Efficiency of ionization on Mars is investigated using MAVEN data, showing a positive correlation with solar activity but negligible dependence on crustal magnetic fields. The increase in ionization efficiency is mainly attributed to solar EUV levels and variability in neutral composition, rather than spectral changes.
Ionization efficiency, the ratio between photoelectron impact ionization and primary photoionization, is an important quantity from the perspective of ionospheric energy balance and as a quantity to be parameterized for use in global simulations. We investigate ionization efficiency using MAVEN in situ measurements of solar extreme ultraviolet (EUV) flux, suprathermal electron flux, and neutral density. Its behavior with respect to pressure and solar zenith angle (SZA) is explained by ionization cross-sections and photoabsorption, plus photoelectron transport near the terminator. We find similar ionization efficiencies between the species CO2, O, N-2, and CO, with Argon similar to 40% higher, explained largely by its higher ionization potential. Efficiency depends positively on solar activity, increasing by similar to 50-100% (depending on season) from low to moderate solar EUV levels, before flattening at higher EUV levels. EUV spectral hardening appears to be responsible for only similar to 15% of this increase, the remainder best explained by variability in neutral composition. We find a negligible dependence of ionization efficiency on the strength and direction of crustal magnetic fields. Efficiencies agree poorly with the theoretical model of Nicholson et al. (2009), , possibly reflecting differences in model versus measured solar EUV spectrum and neutral densities. We fit the data to the empirical parameterization of Mendillo et al. (2011), but find that a single fit cannot capture ionization efficiency behavior across all dayside SZA values. We believe that an empirical model of Mars ionization efficiency will require MAVEN data and validated transport modeling to reach to sufficiently high pressures to capture Mars' photochemical peaks M1 and M2.

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