Computer Science
Scientific paper
Oct 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011epsc.conf..595c&link_type=abstract
EPSC-DPS Joint Meeting 2011, held 2-7 October 2011 in Nantes, France. http://meetings.copernicus.org/epsc-dps2011, p.595
Computer Science
Scientific paper
Between 2004 and 2007 the CASSINI spacecraft discovered dark patches in the polar regions of Titan. These features are interpreted as hydrocarbon lakes and seas with ethane and methane identified as the main compounds. In this context, we have developed a lake-atmosphere equilibrium model allowing the determination of the chemical composition of these liquid areas present on Titan. The model is based on uncertain thermodynamic data of organic species predicted to be present in the lakes. Here we explore the influence of these uncertainties. The errors and uncertainties relevant to thermodynamic data are simulated thanks to a Monte-Carlo method. 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 sensitivity to thermodynamic data used as inputs. When we combine all considered uncertainties, the ranges of obtained mole fractions are rather large (up to 8500%). No significant difference is found between the composition of lakes located in north and south poles.
Cordier Daniel
Ferreira Ana M. G.
Lavvas Panayiotis
Lebonnois Sébastien
Lobo L. Q.
No associations
LandOfFree
The hydrocarbon lakes of Titan: uncertainties on their chemical composition does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The hydrocarbon lakes of Titan: uncertainties on their chemical composition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The hydrocarbon lakes of Titan: uncertainties on their chemical composition will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1478549