Machine Learning for Space Weather

Coupling physics-based simulations with Artificial Intelligence

Goal

In this project we aim at enhancing the current state-of-the-art simulations for Space Weather, by using prior knowledge gathered from historical satellite data. Several Machine Learning techniques will be used for data-mining, classification, and regression. The long-term objective of the project is the creation of a portfolio of data-enhanced reduced models, along with automated rules for model selection. Depending on the real-time conditions observed by satellites, the resulting 'grey-box' model should choose the relative importance between physical and empirical estimations.

CWI/INRIA consortium

This project has started as funded by a CWI/INRIA collaboration. However, several other parties have joined in this activity, either as external collaborators, or more actively involved. Visit the team page for a list of all the people involved.

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CWI is the Dutch National Center for Mathematics and Computer Science. INRIA is the French Institute for Research in Computer Science and Automation.