Retrieval of Water Vapor Column Abundance and Aerosol Properties from ChemCam Passive Sky Spectroscopy
Timothy H. McConnochie, Michael D. Smith, Michael J. Wolff, Steve, Bender, Mark Lemmon, Roger C. Wiens, Sylvestre Maurice, Olivier Gasnault,, Jeremie Lasue, Pierre-Yves Meslin, Ari-Matti Harri, Maria Genzer, Osku, Kemppinen, Germ\'an M. Mart\'inez, Lauren DeFlores, Diana Blaney

TL;DR
This study develops a method to derive water vapor and aerosol properties on Mars from ChemCam passive sky spectra, revealing seasonal patterns and diurnal interactions of water vapor with the surface.
Contribution
It introduces a novel retrieval technique combining radiative transfer modeling with ChemCam data to analyze Martian atmospheric composition and aerosols.
Findings
ChemCam water vapor data aligns with other orbital and surface measurements in seasonal trends.
ChemCam water vapor abundances are generally lower than orbital data but higher than pre-dawn REMS-H measurements.
Aerosol analysis shows seasonal dust size variation and inter-annual increase in water-ice cloud opacities.
Abstract
We derive water vapor column abundances and aerosol properties from Mars Science Laboratory (MSL) ChemCam passive mode observations of scattered sky light. Each ChemCam passive sky observation acquires spectra at two different elevation angles. We fit these spectra with a discrete-ordinates multiple scattering radiative transfer model, using the correlated-k approximation for gas absorption bands. The retrieval proceeds by first fitting the continuum of the ratio of the two elevation angles to solve for aerosol properties, and then fitting the continuum-removed ratio to solve for gas abundances. The final step of the retrieval makes use of the observed CO2 absorptions and the known CO2 abundance to correct the retrieved water vapor abundance for the effects of the vertical distribution of scattering aerosols and to derive an aerosol scale height parameter. The ChemCam-retrieved…
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