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.
Figure 1. Elements of the model architecture and assembly, which includes model compilation, hyperparameter tuning, optimization, fitting, inverse transformation, evaluation, prediction, and error quantification. Source: documentation/architecture.pdf
Citation: Gay, B.A., N.J. Pastick, J.D. Watts, A.H. Armstrong, K. Miner, and C.E. Miller. 2025. GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2371