Weather and Climate Model Emulation

Term: 2024 -

Funding source: NSF NCAR Cooperative Agreement, AI2ES, and Schmidt Sciences, LLC

Partners: AI2ES, M2LinES

Website: CREDIT Docs

The MILES team has developed CREDIT, An open foundational platform for developing and deploying AI weather and Earth system prediction models. CREDIT enables users to build custom data and modeling pipelines to load data, train configurable AI forward models, and deploy them for real-time forecasting, hindcasting, or scenario projections.

CREDIT offers both scientifically validated model configurations and endless customization for any use case.

Papers

• Schreck, J., Sha, Y., Chapman, W., Kimpara, D., Berner, J., McGinnis, S., Kazadi, A., Sobhani, N., Kirk, B., Gagne, D.J., 2025: Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling. npj Climate and Atmospheric Science, 8, 239
• Sha, Y., J. Schreck, W. Chapman, and DJ Gagne, 2025: Improving AI weather prediction models using global mass and energy conservation schemes, Under Review in JAMES
• Sha, Y., J. S. Schreck, W. Chapman, and D. J. Gagne II, 2025: Investigating the contribution of terrain-following coordinates and conservation schemes in AI-driven precipitation forecasts. arXiv.
• Chapman, W. E., J. S. Schreck, Y. Sha, D. J. Gagne II, D. Kimpara, L. Zanna, K. J. Mayer, and J. Berner, 2025: CAMulator: Fast emulation of the Community Atmosphere Model. arXiv.