ACCESS Workshop: Connecting Machine Learning to Earth System Science

Weather extremes, climate shifts, and Earth system dynamics generate vast amounts of complex data, and making sense of it all is one of the great scientific challenges of our time. Machine learning (ML) offers powerful new tools to tackle this challenge, yet the communities developing these methods and those grappling with the science don’t always speak the same language.

This workshop is designed to bridge that gap. Whether you’re an ML researcher eager to apply ML methods to real-world problems, or an Earth system scientist working across weather, climate, atmosphere, oceans, sea-ice, or beyond, looking for ways to address open questions in your field, this is your space to connect, learn, and collaborate.

The main aim of the workshop is to build a common knowledge base between the machine learning (ML) and Earth system physics communities. This may include but is not limited to:

• Sharing latest potentially relevant machine learning tools;

• Articulating key open problems in Earth system physics that might benefit from the application of ML methods;

• Present case studies and progress to date in the broad area of ML applications to problems in weather and climate.