Articles | Volume 19, issue 13
https://doi.org/10.5194/gmd-19-6189-2026
https://doi.org/10.5194/gmd-19-6189-2026
Model evaluation paper
 | 
10 Jul 2026
Model evaluation paper |  | 10 Jul 2026

New framework for benchmarking decadal predictions leveraging the PCMDI Metric Package with interactive visualization

Jung Choi, Jiwoo Lee, Kristin Chang, Paul A. Ullrich, Peter J. Gleckler, and Sang-Yoon Jun

Data sets

Dataset for PCMDI Metrics Package DCPP workflow and Metrics J. Choi and J. Lee https://doi.org/10.5281/zenodo.20822040

Model code and software

PCMDI Metrics Package DCPP Workflow and Metrics J. Lee et al. https://doi.org/10.5281/zenodo.20789780

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Short summary
As climate risks grow, society needs reliable predictions for the coming years and decades. We developed a framework to collectively compare climate prediction systems and examine their performances on global temperature, rainfall, and sea ice. As a complementary to traditional analyses, our new framework offers tracking evolution of model performance in simulation time, helping scientists and stakeholders better understand strengths and limits of decadal climate prediction.
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