UCL: Deep learning takes Saturn by storm

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Deep learning takes Saturn by storm
University College London | 2019 Apr 29

Saturn's Long-lived Storm ~ Credit: NASA/JPL-Caltech/SSI

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A ‘deep learning’ approach to detecting storms on Saturn is set to transform our understanding of planetary atmospheres, according to UCL and University of Arizona researchers.

The new technique, called PlanetNet, identifies and maps the components and features in turbulent regions of Saturn’s atmosphere, giving insights into the processes that drive them.

A study, published today in Nature Astronomy, provides results from the first demonstration of the PlanetNet algorithm, which clearly shows the vast regions affected by storms, and that dark storm clouds contain material swept up from the lower atmosphere by strong vertical winds.

Developed by UCL and the University of Arizona researchers, PlanetNet was trained and tested using infrared data from the Visible and Infrared Mapping Spectrometer (VIMS) instrument on Cassini, a joint mission between NASA, the European Space Agency, and the Italian Space Agency. ...

Mapping Saturn Using Deep Learning ~ I. P. Waldmann, C. A. Griffith

• Nature Astronomy (online 29 Apr 2019) DOI: 10.1038/s41550-019-0753-8