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Unexpected increase of the deuterium to hydrogen ratio in the Venus mesosphere.

Arnaud MahieuxSébastien ViscardyRoger Vincent YelleHiroki KaryuSarah ChamberlainSéverine RobertArianna PiccialliLoïc TrompetJustin Tyler ErwinSoma UbukataHiromu NakagawaShungo KoyamaRomain MaggioloNuno PereiraGaël CessateurYannick WillameAnn Carine Vandaele
Published in: Proceedings of the National Academy of Sciences of the United States of America (2024)
This study analyzes H 2 O and HDO vertical profiles in the Venus mesosphere using Venus Express/Solar Occultation in the InfraRed data. The findings show increasing H 2 O and HDO volume mixing ratios with altitude, with the D/H ratio rising significantly from 0.025 at ~70 km to 0.24 at ~108 km. This indicates an increase from 162 to 1,519 times the Earth's ratio within 40 km. The study explores two hypotheses for these results: isotopic fractionation from photolysis of H 2 O over HDO or from phase change processes. The latter, involving condensation and evaporation of sulfuric acid aerosols, as suggested by previous authors [X. Zhang et al. , Nat. Geosci. 3, 834-837 (2010)], aligns more closely with the rapid changes observed. Vertical transport computations for H 2 O, HDO, and aerosols show water vapor downwelling and aerosols upwelling. We propose a mechanism where aerosols form in the lower mesosphere due to temperatures below the water condensation threshold, leading to deuterium-enriched aerosols. These aerosols ascend, evaporate at higher temperatures, and release more HDO than H 2 O, which are then transported downward. Moreover, this cycle may explain the SO 2 increase in the upper mesosphere observed above 80 km. The study highlights two crucial implications. First, altitude variation is critical to determining the Venus deuterium and hydrogen reservoirs. Second, the altitude-dependent increase of the D/H ratio affects H and D escape rates. The photolysis of H 2 O and HDO at higher altitudes releases more D, influencing long-term D/H evolution. These findings suggest that evolutionary models should incorporate altitude-dependent processes for accurate D/H fractionation predictions.
Keyphrases
  • water soluble
  • gene expression
  • machine learning
  • big data
  • high resolution
  • artificial intelligence