Mathematics – Logic
Scientific paper
May 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusm.p23a..06i&link_type=abstract
American Geophysical Union, Spring Meeting 2005, abstract #P23A-06
Mathematics
Logic
0300 Atmospheric Composition And Structure, 0305 Aerosols And Particles (0345, 4801), 0933 Remote Sensing, 5405 Atmospheres: Composition And Chemistry, 6015 Dust
Scientific paper
A combined remote Raman and Laser Induced Fluorescence (RLIF) spectrometer was proposed as a mast-mounted instrument for the Mars Science Laboratory (MSL). This remote RLIF system is capable of conducting reconnaissance of fluorescence materials and minerals with high sensitivity (e.g., carbonates, sulfates, phosphates, quartz, etc.) that can be recorded with a single 532 nm (35 mJ) laser pulse of 8 ns half-width. The RLIF system is also capable of identification of mineral, organic, and biogenic materials and is sitable for atmospheric studies of Mars. This instrument design is based on a prototypes that was developed with partial support from NASA's Planetary Instrument Definition and Development Program (PIDDP) at the University of Hawaii. This prototype instrument has been modified to operate in the lidar mode to obtain Mie-Rayleigh scattering profiles in the atmosphere for studying meteorological processes in the marine atmosphere. Application of RLIF to obtain range-resolved atmospheric backscattering profiles using the AOTF technique are capable of providing atmospheric backscatter profiles. Data from RLIF can be used to retrieve optical properties of dust aerosols and clouds, including the profiling of scattering intensity, location of cloud base and thickness, atmospheric extinction, and de-polarization. These measurements can be made at high vertical resolution up to altitudes >5 km. Simultaneous measurements can be made of atmospheric CO2 and its variations; surface CO2-ice and water-ice; and surface and subsurface hydrated methane on Mars. Capability of RLIF and examples of atmospheric measurements applicable to RLIF will be presented in this paper.
Angel S. M.
Ismail Syed
Jeffrey Taylor G.
Lucey Paul G.
McKay Chris P.
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