Earth science data plays a critical role in addressing diverse scientific, societal, and environmental challenges. As the volume and complexity of this data grow, the Earth science data ecosystem is undergoing a significant paradigm shift such as data access and analysis in Cloud and use of cloud-based tools. The integration of Artificial Intelligence (AI) and Machine Learning (ML) is fundamentally transforming how researchers discover, access, and analyze Earth science data.

This session seeks to highlight the broad spectrum of Earth science data applications and the infrastructure that makes them possible. We invite submissions that showcase innovative use cases of Earth science data across various disciplines, with a focus on the platforms, cloud environments, and tools that support translating Earth science into action. Submissions may address evolving user requirements, strategies for navigating the changing data paradigm, and the practical integration of AI/ML to enhance data utilization and scientific discovery.

• A - Atmospheric Sciences