Titan's lakes chemical composition: sources of uncertainties and variability
D. Cordier, O. Mousis, J. I. Lunine, S. Lebonnois, P. Rannou, P., Lavvas, L.Q. Lobo, A.G.M. Ferreira

TL;DR
This study models Titan's lakes' chemical composition, analyzing how uncertainties in thermodynamic data and precipitation rates influence the predicted compositions and highlighting the need for improved experimental data.
Contribution
Developed a lake-atmosphere equilibrium model incorporating uncertainties and used Monte Carlo and GCM methods to assess their impact on Titan's lake chemistry.
Findings
Mole fractions are highly sensitive to thermodynamic data.
Uncertainties can cause up to 8500% variation in predicted compositions.
Surface pressure variations have negligible impact.
Abstract
Between 2004 and 2007 the instruments of the CASSINI spacecraft discovered hydrocarbon lakes in the polar regions of Titan. We have developed a lake-atmosphere equilibrium model allowing the determination of the chemical composition of these liquid areas. The model is based on uncertain thermodynamic data and precipitation rates of organic species predicted to be present in the lakes and seas that are subject to spatial and temporal variations. Here we explore and discuss the influence of these uncertainties and variations. The errors and uncertainties relevant to thermodynamic data are simulated via Monte-Carlo simulations. Global Circulation Models (GCM) are also employed in order to investigate the possibility of chemical asymmetry between the south and the north poles, due to differences in precipitation rates. We find that mole fractions of compounds in the liquid phase have a high…
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