Jovian Zonal Winds Revealed from Cassini/VIMS Observations
Shenghan Ma, Yuming Wang, Tao Li, Quanhao Zhang, Jiajia Liu, Ruobing Zheng

TL;DR
This study introduces a correlation-based method to analyze Cassini/VIMS near-infrared data, revealing Jupiter's zonal wind patterns and vertical wind shear at multiple latitudes and altitudes despite data limitations.
Contribution
A novel correlation-based technique for extracting Jupiter's zonal winds from Cassini/VIMS spectral data, enabling multi-wavelength and vertical wind structure analysis.
Findings
Revealed zonal winds at five main latitudes using three wavebands.
Detected weaker vertical wind shear than previous studies.
Maximized Cassini/VIMS data utility despite low resolution.
Abstract
Understanding Jupiter's zonal winds is crucial to unraveling the dynamics of its atmosphere. Over the last decades, multiple data sources and techniques have been used to study zonal winds in Jupiter. Here, we develop a correlation-based method for the near-infrared data from the Cassini spacecraft to investigate zonal winds at different altitudes. The new method uses Jupiter's rotation to scan the planet as it rotates, allowing retrieval of winds from the analysis of light-curves of specific pixels over the Jovian disc. The method allows the retrieval of winds at multiple wavelengths from the Cassini/VIMS spectral data despite the low spatial resolution and the non-uniform cadence of the data. By applying this method to two VIMS data cubes acquired on 15 January 2001 at 09:42 UT and 16 January 2001 at 03:22 UT, we reveal the zonal winds at five main latitudes using information from…
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