Weather and Climate Model Emulation
Term: 2024 -
Funding source: NSF Base, AI2ES, and Schmidt Sciences
Partners: AI2ES
Website: CREDIT Docs
The MILES team has developed the CREDIT framework to train a host of weather and climate emulators.
Papers
- Schreck, J., Sha, Y., Chapman, W., Kimpara, D., Berner, J., McGinnis, S., Kazadi, A., Sobhani, N., Kirk, B., Gagne, D.J., 2024: Community Research Earth Digital Intelligence Twin (CREDIT). arXiv [cs.AI].
- 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 [physics.ao-ph],.
- 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 [physics.ao-ph],.
