In the context of the active use of ML/AI for Earth system science, many conceptual, technical, educational, and cultural challenges remain, as well as emerging approaches and opportunities to address ...

The concept of a digital twin of Earth envisages the convergence of Big Earth Data with physics-based models in an interactive computational framework that enables monitoring and prediction of ...

Developing Earth science data products that meet the needs of diverse users is a challenging task for both data producers and service providers, as user requirements can vary significantly and evolve ...

Come engage in the many facets of the Earth Sciences at CU-Boulder, one of the top 10 Earth Science schools in the US! Earth Scientists figure out how the world works through discovery-based science.

Machine learning and artificial intelligence (ML/AI) techniques have advanced considerably across many domains and applications in recent years, and the field of Earth system science is increasingly ...