DPS 2001 meeting, November 2001
Session 11. Outer Planet Atmospheres Posters
Displayed, 9:00am Tuesday - 3:00pm Saturday, Highlighted, Tuesday, November 27, 2001, 5:00-7:00pm, French Market Exhibit Hall

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[11.07] Interpretation of NIMS/ Jupiter Images with the PCA Method

S. Vicente, M. Roos-Serote (CAAUL/Obs. Ast. de LIsboa ,Portugal), U.A. Dyudina (Caltech, California, USA), P. Drossart (Obser. Meudon, France), R.W. Carlson (JPL , California, USA)

The Near Infrared Mapping Spectrometer (NIMS) on the Galileo spacecraft give us spectra from Jupiter in the 4 - 5 micron window.

The well known and studied 5 micron window (4.6 - 5.2 micron) contains information on the water vapor mixing ratio between 3 and 8 bar and the cloud opacity above 2 bars. The shape of the spectrum in this range contains information on the presence of a possible cloud deck at pressures between 3 and 8 bar. The 4 - 4.5 micron region has been very little studied, as terrestrial CO2 blocks this region, and previous space based instruments (Voyager/IRIS) were not sensitive in this range. The NIMS data set is the first with a good spatial and spectral coverage of this region. It contains strong absorptions of methane on the blue side and phosphine on the red side, with two little windows around 4.3 micron.

In this work we apply the Principal Component Analysis (PCA) method to isolate a small number of Empirical Orthogonal Functions. The EOF represent the (spatial) variance of the spectral intensities at different wavelengths. From this analysis we search to understand the relation between the physical processes which determine the spectra in the well understood 4.5 - 5.2 micron and those which determine the spectra in the 4.0 - 4.5 micron range.

If you would like more information about this abstract, please follow the link to http://www.oal.ul.pt. This link was provided by the author. When you follow it, you will leave the Web site for this meeting; to return, you should use the Back comand on your browser.

The author(s) of this abstract have provided an email address for comments about the abstract: svicente@oal.ul.pt

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