Automated extraction of Saturn's winds and comparison with 3D simulations of Saturn's two polar vortices and transient vortices

该项目的中心是开发和应用一种新的自动化算法来测量土星可观测到的天气层中的风速。PI和一名研究生将改进他们的先进校正相关图像测速(ACCIV)技术；该算法自动跟踪从航天器获得的现场图像对之间的云特征移动，并以比现有自动或手动方法高得多的效率和分辨率提取速度场。他们将把这种分析应用于土星的卡西尼号图像，特别是在极地涡旋区域，并提取不确定度仅为每秒1米的速度。他们将制作一个公开的、用户友好的ACCIV版本，并将其提供给行星科学界和更广泛的研究界。

This project centers on the development and application of a new, automated algorithm to measure the speeds of winds in Saturn's observable weather layer. The PI and a graduate student will improve on their technique of Advected Corrected Correlation Image Velocimetry (ACCIV); this algorithm automatically tracks the movement of cloud features between pairs of in-situ images obtained from spacecraft, and extracts velocity fields with much higher efficiency and resolution than existing automated or manual methods. They will apply this analysis to Cassini images of Saturn, particularly in the region of the polar vortices, and extract velocities with uncertainties of only 1 meter per second. They will produce a public, user friendly version of ACCIV and make it available to the planetary science and broader research communities.