ORNL DAAC Data Release - GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022

[ORNL - blancohl]

ORNL DAAC recently released a new dataset by Gay, B.A. et al (2025):

GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022

This dataset provides model code, input data, sample results, and documentation for an artificial intelligence-driven model, GeoCryoAI. GeoCryoAI is a hybridized process-constrained ensemble learning framework consisting of stacked convolutionally layered long short-term memory-encoded recurrent neural networks.

Citation: Gay, B. A., Pastick, N. J., Watts, J. D., Armstrong, A. H., Miner, K., & Miller, C. E. (2025). GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2371