Published July 2025 | Published
Journal Article Open

Observed Latitudinal, Longitudinal and Temporal Variability of Io's Atmosphere Simulated by a Purely Sublimation Driven Atmosphere

  • 1. ROR icon University of Cologne
  • 2. ROR icon Johns Hopkins University
  • 3. ROR icon California Institute of Technology
  • 4. ROR icon University of California, Berkeley

Abstract

How much of Io's SO₂ atmosphere is driven by volcanic outgassing or sublimation of  surface frost is a question with a considerable history. We develop a time dependent surface temperature model including thermal inertia and the exact celestial geometry to model the radiation driven global structure and temporal evolution of Io's atmosphere. We show that many observations can be explained by assuming a purely sublimation driven atmosphere. We find that a thermal diffusivity ∝ = 2.41 x 10⁻⁷ m²s⁻¹ yields an averaged atmospheric SO₂ column density decreasing by more than one order of magnitude from the equator to the poles in accordance with the observed spatial variations of Io's column densities. Our model produces a strong day-night-asymmetry with modeled column density variations of almost two orders of magnitude at the equator as well as a sub-anti-Jovian hemisphere asymmetry, with maximum dayside column densities of 3.7 x 10¹⁶ cm⁻² for the sub-Jovian and  8.5 x 10¹⁶ cm⁻² for the anti-Jovian hemisphere. Both are consistent with the observed temporal and large-scale longitudinal variation of Io's atmosphere. We find that the diurnal variations of the surface temperature affect the subsurface structure up to a depth of 0.6 m. Furthermore, we quantify seasonal effects with Io having a northern summer close to perihelion and a northern winter close to aphelion. Finally, we found that at Io's anomalous warm polar regions a conductive heat flux of at least 1.2 Wm⁻² is necessary to reach surface temperatures consistent with observations.

Copyright and License

Acknowledgement

IdP acknowledges funding from NASA SSW Grant 80NSSC24K0306, as a subawardee of the lead campus, University of Texas at Austin. Open Access funding enabled and organized by Projekt DEAL.

Data Availability

The model used in this work has been implemented with Python, with which the results were obtained as well. The source code is publicly available at GitHub (https://github.com/ACDott/Software) and in a repository (Dott, 2024).

 

Files

JGR Planets - 2025 - Dott - Observed Latitudinal Longitudinal and Temporal Variability of Io s Atmosphere Simulated by a.pdf

Additional details

Created:
July 10, 2025
Modified:
July 10, 2025