Jupiter Cloud Sequence from Cassini
- Visualizations by:
- Tom Bridgman
- View full credits
But the time steps between images were large and exhibited significant jumping. The solution was to create additional images between the existing set by interpolation. But simple interpolation would not work due to significant changes between the images.
To solve this, we interpolated between the images using the velocity vector field of the cloud images. The velocity vector field was computed by performing a 2-dimensional cross-correlation (Wikipedia: Cross-correlation) between the images. This velocity field was checked against Jupiter velocity profiles from the scientific literature and agreement was excellent. With the addition of a simple vortex flow at the location of the Great Red Spot, the interpolation process was used to generate intermediate images, increasing the total number of images from 14 to 220 and resulting in a smoother animation. The elapsed time between each interpolated frame corresponds to about 1 hour. More info on the image sequence is available at Jupiter Mosaics and Movies - Rings, Satellites, Atmosphere
IMPORTANT NOTE: These images are for visualization purposes only. They are not suitable for scientific analysis.
The full set of interpolated images from Cassini.
This video is also available on our YouTube channel.
Credits
Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio, the Cassini Imaging Team, CICLOPS, and Cosmos Studios. Special thanks to Andrew Ingersoll (CalTech) for technical assistance.
Animators
- Tom Bridgman (GST) [Lead]
- Greg Shirah (NASA/GSFC)
Video editor
- Victoria Weeks (None)
Scientist
- Amy A. Simon (NASA/GSFC)
Producer
- Michael Starobin (KBRwyle)
Series
This visualization can be found in the following series:Datasets used in this visualization
Cassini Cassini/Jupiter imagery (Collected with the Imaging Science Subsystem sensor)
Cassini/Jupiter imagery
Dataset can be found at: http://ciclops.org/
See more visualizations using this data setNote: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.