Published October 2024 | Published
Journal Article Open

Europa's H₂O₂: Temperature Insensitivity and a Correlation with CO₂

  • 1. ROR icon Cornell University
  • 2. ROR icon University of California, San Diego
  • 3. ROR icon California Institute of Technology

Abstract

H2O2 is part of Europa's water-ice radiolytic cycle and a potential source of oxidants to Europa's subsurface ocean. However, factors controlling the concentration of this critical surface species remain unclear. Though laboratory experiments suggest that Europa's H2O2 should be concentrated in the coldest, most ice-rich regions toward the poles, Keck adaptive optics observations have shown the strongest H2O2 signatures in comparatively warm, salt-bearing terrain at low latitudes. As a result, it was suggested that the local non-ice composition of these terrains—particularly hypothesized enrichments of CO2—may be a more dominant control on H2O2 than temperature or water-ice abundance. Here we use observations of Europa from the NASA Infrared Telescope Facility, Keck Observatory, and JWST to disentangle the potential effects of temperature and composition. In order to isolate the effect of temperature on Europa's H2O2, we use the ground-based observations to assess its response to temperature changes over timescales associated with Europa's daily eclipse and diurnal cycle. We use JWST Cycle 1 data to look for any geographic correlation between Europa's H2O2 and CO2. Changes in Europa's 3.5 μm H2O2 absorption band both from pre- to post-eclipse and across a local day suggest minimal effects of the local temperature on these timescales. In contrast, the JWST observations show a strong positive correlation between Europa's H2O2 and CO2 bands, supporting the previously suggested possibility that the presence of CO2 in the ice may enhance H2O2 concentrations via electron scavenging.

Copyright and License

© 2024. The Author(s). Published by the American Astronomical Society.

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

 

Acknowledgement

The IRTF/Spex data presented were obtained at the Infrared Telescope Facility, which is operated by the University of Hawaii under contract 80HQTR24DA010 with the National Aeronautics and Space Administration. The Keck AO data presented were obtained at Keck Observatory, which is a private 501(c)3 nonprofit organization operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. The JWST data were obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy under NASA contract NAS 5-03127 for JWST. These observations are associated with program No. 1250. The authors acknowledge H. Hammel and the GTO team led by PI G. Villanueva for developing their observing program with a zero-exclusive-access period. The specific observations analyzed can be accessed via DOI:10.17909/e269-sm44. S. K. Trumbo acknowledges support from the Heising-Simons Foundation through a 51 Pegasi b Fellowship. We thank Ryleigh Davis for fruitful discussions and Jonathan Lunine for insightful comments and constructive suggestions. We thank Erin Leonard for providing shape files for Europa's geologic units.

Facilities

IRTF/Spex - , Keck II - , JWST - James Webb Space Telescope.

Software References

Astropy (T. P. Robitaille et al. 2013; A. M. Price-Whelan et al. 20182022), Scikit-image (S. van der Walt et al. 2014), Scipy (P. Virtanen et al. 2020), Cartopy (Met Office 2010-2015), Astroquery (A. Ginsburg et al. 2019), Spextool (M. Cushing et al. 2004)

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Additional details

Created:
February 4, 2025
Modified:
February 4, 2025