NASA and IBM have teamed up to create an AI Foundation Model for Weather and Climate - Prithvi WxC, using MERRA-2 data. By embracing the principles of open science, both organizations are actively contributing to the global mission of promoting knowledge sharing and accelerating innovations in addressing critical environmental challenges. With Hugging Face’s platform, they simplify model training and deployment, making it accessible for open science users, startups, and enterprises on multi-cloud AI platforms like watsonx. Additionally, Hugging Face enables easy sharing of the pipelines of the model family, which our team calls Prithvi WxC, within the community, fostering global collaboration and engagement. Prithvi WxC has been fine-tuned for several tasks including climate downscaling (released as part of the enterprise-grade IBM granite family of models) and gravity wave parameterization. More details on Prithvi WxC can be found in the joint IBM NASA technical paper.

Current downstreams tasks of PrithviWxC are (please feel free to submit a PR if you want to add yours):
Downscaling (IBM Granite Model) >>>Try it on Colab<<< (Please select the T4 GPU runtime)
Gravity Wave

More information:Paper, Code, Model V1 PRs: prithvi-weather-climate-foundation-model (NASA), weather-climate-foundation-model (IBM) nasa-ibm-weather-climate-foundation-model (NASA)