Fifteenth European Space Weather Week
November 5 - 9, 2018, Leuven, Belgium

Session 6 - Unveiling Current Challenges in Space Weather Forecasting

Anastasios Anastasiadis (National Observatory of Athens, IAASARS), Enrico Camporeale (Centre for Mathematics and Computer Science, CWI), Manolis K. Georgoulis (Academy of Athens, RCAAM), Ryan McGranaghan (Jet Propulsion Laboratory)
Wednesday 7/11, 09:00-10:30 & 11:15-12:45

Predicting the conditions of our space environment is a true challenge, due to the large size of the system and the complex interplay of physical mechanisms. Nowadays, forecasting techniques range from physics-based to data-driven statistical models. Massively expanded data availability and sophisticated means to analyze voluminous and complex information open new possibilities to innovative methodologies. This session is devoted to the broad spectrum of advanced forecasting techniques, including physical models, statistical methods, data assimilation, information theory, and machine learning. The goal of this session is to provide a forum for new and ongoing efforts that connect the dots between space weather research and future operational forecasting applications. We invite abstracts covering observations, models, and their combinations. Methods that use innovative and multidisciplinary approaches are particularly welcome.