Other
Scientific paper
Sep 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006dps....38.1104a&link_type=abstract
American Astronomical Society, DPS meeting #38, #11.04; Bulletin of the American Astronomical Society, Vol. 38, p.496
Other
Scientific paper
We have used a variety of new methods and also a collection of old techniques, borrowed from fields as diverse as laboratory flow diagnostics, image reconstruction, data assimilation of satellite imagery and animation, to extract Jovian velocity fields (and their uncertainties) from HST image pairs. Velocity measurements are derived from cloud displacement in the image pairs. However, our methods go far beyond the traditional technique of deriving a velocity vector by setting it equal to an image pair's cloud displacement vector divided by the time between images. The images in some pairs were taken as few as 12 minutes apart, while the images in other pairs were separated by as much as 10 hours (a Jovian day). To understand why new techniques are needed, we note that although typical peak velocities in the jet streams and vortices are 100ms-1, the characteristic wind speeds within the vortices are 30ms-1. Therefore, a cloud's displacement inside a vortex over 12 minutes is only 22km, which is less than half a pixel (and the spatial resolution in our observations was 5 pixels). To obtain sub-pixel resolution, it was necessary for us to use all of the data from all of the image pairs and to employ all of our techniques in an iterative manner. We outline how these methods work and how they can be applied to archived data sets of satellite imagery of the giant planets.
This work was supported by NASA NNG06GA09G, HST and CFAO.
Asay-Davis Xylar
de Pater Imke
Go Christopher
Lockwood Samuel
Marcus Philip S.
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