Velocity and Vorticity Measurements of Jupiter's Great Red Spot Using Automated Cloud Feature Tracking
David S. Choi, Don Banfield, Peter J. Gierasch, Adam P. Showman

TL;DR
This study uses automated cloud feature tracking on Galileo spacecraft images to produce detailed wind and vorticity maps of Jupiter's Great Red Spot, revealing new features and changes over time.
Contribution
Introduces an automated wind measurement technique that produces high-density velocity maps and uncovers persistent cyclonic rings around the GRS.
Findings
High wind velocities around 170 m/s detected
A persistent cyclonic vorticity ring identified
No major structural changes since Voyager era
Abstract
We have produced mosaics of the Great Red Spot (GRS) using images taken by the Galileo spacecraft in May 2000, and have measured the winds of the GRS using an automated algorithm that does not require manual cloud tracking. Our technique yields a high-density, regular grid of wind velocity vectors that is advantageous over a limited number of scattered wind vectors that result from manual cloud tracking. The high-velocity collar of the GRS is clearly seen from our velocity vector map, and highest wind velocities are measured to be around 170 m/s. The high resolution of the mosaics have also enabled us to map turbulent eddies inside the chaotic central region of the GRS, similar to those mapped by Sada et al. (1996) and Vasavada et al. (1998). Using the wind velocity measurements, we computed particle trajectories around the GRS as well as maps of relative and absolute vorticities. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
