EUMETSAT satellite data across scales and communities.

EUMETSAT serves a diverse range of value chains, from numerical weather prediction to climate monitoring, air quality, and atmospheric chemistry. The data flows into direct products or various modeling chains that underpin a wide array of services.

The operational data streams from the Meteosat Third Generation imager and the upcoming Sounder mission provide an unprecedented source of information for a wide range of applications, including global and regional numerical weather prediction, nowcasting, atmospheric composition, ocean monitoring, and climate studies. In this new era, where AI and machine learning can further exploit the potential of satellite data, the importance of scale interactions and the possibilities for training new Earth system models to directly learn from satellite data such interactions are growing.

As the weather enterprise evolves toward a more direct use of machine learning methods to 'assimilate' observations, the entry point for new predictive applications is lowering. In the near future, more communities and stakeholders will benefit from the availability of high-quality satellite data.