Martian Dust Parameter Retrieval using the Sensitivity Matrix Method

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We present a new algorithm for parameter retrieval from Mars Global Surveyor Thermal Emission Spectrometer data. The retrieval uses model spectra comparison with data and knowledge of first-order spectral sensitivity to variation in parameters. The sensitivities are assembled into a matrix table for use by the algorithm. The algorithm can successfully retrieve aerosol optical depth, effective size, and surface temperatures for a wide selection of data. There is uncertainty about the optical depth, as its spectral response is similar to that of changes in the aerosol vertical distribution. We will present results of retrievals from a selection of data, including temporal and spatial trends. Particularly, dust effective radius shows a recognizable spatial gradient that can be compared with numerical models of dust evolution during global dust storms.

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