Physics
Scientific paper
Dec 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agufm.p32e..02l&link_type=abstract
American Geophysical Union, Fall Meeting 2001, abstract #P32E-02
Physics
3309 Climatology (1620), 5409 Atmospheres: Structure And Dynamics, 5445 Meteorology (3346), 6225 Mars
Scientific paper
Over two years of Viking Infrared Thermal Mapper (IRTM) data and over a year of Mars Global Surveyor Thermal Emission Spectrometer (TES) data now provide the most solid basis for our knowledge of the contemporary Martian climate. Both instruments observed Mars in the thermal infrared, including bands diagnostic of atmospheric temperature (from the 15-micron CO2 band), atmospheric dust (from the 9-micron silicate feature), and atmospheric water ice (at 11-microns). Although the styles of data collection were quite different for the two instruments (MGS provides regular data from a low circular orbit, while Viking provided a wider range of local times and observation elevations; TES is a spectrometer, while IRTM was a 6-channel radiometer), they provide by far the strongest basis for reliable assessment of interannual climate variability. Key to this reliability is the fact that the TES data can be used to generate "equivalent" IRTM data by passing the IRTM spectral response functions over the TES spectra. This allows truly direct "apples-for-apples" comparison between the data sets, greatly reducing the possibility of confusing observational and retrieval biases for true variations in climate. For the retrieval of dust and water ice, we employ the method originally developed by T.Z. Martin [Icarus, 1986], while for air temperatures, we choose to compare the brightness temperatures in the band defined by the well-known IRTM 15-micron channel. We examine the likely biases in the IRTM 15-micron data, and compare a suggested correction [Wilson and Richardson, Icarus, 2000] with the TES observations. In discussing the interannual record of climate, we will highlight the behavior of mid-level air temperatures, the tropical cloud belt, and the variety of dust storms observed in both data sets. Where appropriate, for illustrative purposes, we will compare with results from GFDL Mars GCM.
Liu Jinjie
Richardson Mark I.
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