Statistics – Computation
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005dps....37.3335s&link_type=abstract
American Astronomical Society, DPS meeting #37, #33.35; Bulletin of the American Astronomical Society, Vol. 37, p.1567
Statistics
Computation
Scientific paper
An important component of the continuing Mars research program is the accurate determination of atmospheric and meteorological parameters, and analysis of how these parameters vary spatially and temporally. Ground-based observations are particularly useful in this regard, as they allow simultaneous global coverage and use of high-resolution spectroscopy to complement orbital measurements. Aside from the perils of atmospheric turbulence (correctable to some degree using adaptive optics), infrared observations of planetary atmospheres face another challenge -- correcting for the presence of telluric spectral lines. Based on atmospheric simulations using the SMART radiative transfer modelling tool1, we present evidence that the current technique of mitigating the effect of Earth's atmosphere by observing a nearby star of known spectral type (the ``standard star" method) can generate significant errors. Indeed, our simulations of measurements of the Martian 2-micron carbon dioxide band at a resolving power of 1000 produced variation between ``standard reduced" spectra and original modelled spectra of up to 50%2. Furthermore, we outline our proposed computational technique of iterative reduction by progressing modelled parameters towards observed values (which negates the ``standard star" issue), to be validated on data obtained from IRTF/Gemini South observations in October/November 2005, and present results to date.
1Meadows, V.S., Crisp, D., 1996, Ground-based near-infrared observations of the Venus nightside: The thermal structure and water abundance near the surface, JGR 101:E2, 4595
2Bailey, J. A., Simpson, A. J., Crisp, D., 2005, Correcting Infrared Spectra for Atmospheric Absorption, in preparation
Bailey Jeremy
Crisp Dave
Simpson Alex
Walter Malcolm
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