Global climate modelling of Saturn’s atmosphere, Part V: Large-scale vortices

• Published in: Icarus (New York, N.Y. 1962) N.Y. 1962), 2025-01, Vol.425 (January), p.116302, Article 116302
• Main Authors: Donnelly, Padraig T., Spiga, Aymeric, Guerlet, Sandrine, James, Matt K., Bardet, Deborah
• Format: Article
• Language: English
• Subjects: Atmospheric dynamics; Dynamical detection; Eddy-to-mean flow interactions; Gas giants; Geospatial information systems; Global climate model; Machine learning; Saturn; Sciences of the Universe; Vortices
• ISSN: 0019-1035; 1090-2643
• DOI: 10.1016/j.icarus.2024.116302

This paper presents an analysis of large-scale vortices in the atmospheres of gas giants, focusing on a detailed study conducted using the Saturn-DYNAMICO global climate model (GCM). Large-scale vortices, a prominent feature of gas giant atmospheres, play a critical role in their atmospheric dynamics. By employing three distinct methods – manual detection, machine learning via artificial neural networks (ANN), and dynamical detection using the Automated Eddy-Detection Algorithm (AMEDA) – we characterise the spatial, temporal, and dynamical properties of these vortices within the Saturn-DYNAMICO GCM. Our findings reveal a consistent production of vortices due to well-resolved eddy-to-mean flow interactions, exhibiting size and intensity distributions broadly in agreement with observational data. However, notable differences in vortex location, size, and concentration highlight the model’s limitations and suggest areas for further refinement. The analysis underscores the importance of zonal wind conditions in influencing vortex characteristics and suggests that more accurate modelling of giant planet vortices may require improved representation of moist convection and jet structure. This study not only provides insights into the dynamics of Saturn’s atmosphere as simulated by the GCM but also offers a framework for comparing vortex characteristics across observations and models of planetary atmospheres. •New insights on large-scale vortices in multi-year global circulation model of Saturn.•Comparison of vortex detection methods: GIS, neural network, and dynamical algorithm.•Spatial, temporal, and dynamical distributions consistent with giant planet vortices.