European Space Weather Week 2026

Welcome to Florence!

In 2026, the European Space Weather Week will take place in Florence, Italy from November 2 to 6 2026. The ESWW is the main annual event in the European Space Weather and Space Climate calendar. It is an international meeting organised annually within the European Region in collaboration with prominent members of the European space weather and space climate community. It began as a forum for the European Space Weather community and has since grown into an international event with global attendance.

ESWW2026 will once again bring together the diverse groups in Europe working on different aspects of Space Weather and Space Climate — including scientists, engineers, satellite operators, power grid technicians, communication and navigation specialists, aviation experts, space weather service providers, and STEM practitioners. The conference remains highly interdisciplinary and promotes the exploration of new technologies and approaches such as artificial intelligence and machine learning in a space weather context.

ESWW also welcomes space weather end users — groups and organisations making use of space weather data and services. Fields include spacecraft operation and design, telecommunications, navigation, power distribution, pipeline management, aviation safety, rail systems, insurance, civil contingency planning, and scientific research.

The ESWW is an excellent opportunity to meet people, exchange knowledge and ideas, discuss the latest solar and space weather developments, understand their effects on Earth and technology, and collaborate on strategies to mitigate their impact.

Theme

This year’s overall theme for the ESWW is “Data-driven and physics-based cross-scale space weather”. It highlights recent advances in understanding space weather processes across multiple scales — from the large-scale dynamics of coronal mass ejections (CMEs) to the small-scale regions where energy is dissipated in the solar wind and Earth's near-space environment. The theme also emphasizes cutting-edge developments in machine learning and theoretical modeling, showcasing how data-driven and physics-based approaches can be combined to improve our understanding and prediction of space weather