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
Editorial note: on 17 July 2026, Figure 10 was updated because an older version had been uploaded by mistake instead of the revised version prepared by the authors during the review process.

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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Please read the editorial note first before accessing the article.

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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