Statistics – Computation
Scientific paper
Dec 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011agufm.p21a1652t&link_type=abstract
American Geophysical Union, Fall Meeting 2011, abstract #P21A-1652
Statistics
Computation
[0343] Atmospheric Composition And Structure / Planetary Atmospheres, [5405] Planetary Sciences: Solid Surface Planets / Atmospheres, [5464] Planetary Sciences: Solid Surface Planets / Remote Sensing, [6225] Planetary Sciences: Solar System Objects / Mars
Scientific paper
The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument on the Mars Reconnaissance Orbiter (MRO) spacecraft has been collecting spectra in the visible to near-infrared on Mars for over 5 years (almost 3 Martian years). Observations consist of image cubes, with two main spectral samplings (approximately 70 and 550 spectral channels) and two main imaging resolutions (approximately 20 and 200 m/pixel). We present retrievals of gas abundances, specifically CO2, H2O, and CO, from spectra collected in all observation modes. The retrievals are efficiently performed using a lookup table, where the strength of gas absorption features are pre-calculated for an N-dimensional discrete grid of known input parameters (season, location, environment, viewing geometry, etc.) and the one unknown parameter to be retrieved (gas abundance). A reverse interpolation in the lookup table is used to match the observed strength of the gas absorption to the gas abundance. This algorithm is extremely fast compared to traditional radiative transfer computations that seek to recursively fit calculated results to an observed spectral feature, and can therefore be applied on a pixel-by-pixel basis to the tens of thousands of CRISM images, to examine cross-scene structure as well as to produce climatological averages.
CRISM Science
Operations Teams
Seelos Frank P.
Smith Masson D.
Toigo Anthony D.
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