Articles | Volume 17, issue 1
https://doi.org/10.5194/esd-17-23-2026
https://doi.org/10.5194/esd-17-23-2026
Research article
 | 
06 Jan 2026
Research article |  | 06 Jan 2026

Enhanced climate reproducibility testing with false discovery rate correction

Michael E. Kelleher and Salil Mahajan

Data sets

Detectable Climate Bootstrap Data (Version v2) M. Kelleher and S. Mahajan https://doi.org/10.5281/zenodo.17438071

Model code and software

Detectable Climate (v1.1.0) M. Kelleher and S. Mahajan https://doi.org/10.5281/zenodo.17438094

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Short summary
Building numerical models of the Earth is a complex task that scientists and engineers around the world work on. It is important that results are repeatable accurately to help advance science. This study uses a statistical method to reduce errors when comparing two sets of simulations to see if they agree with each other. This approach helps identify if changes made to the model's code result in unexpected or unintended effects.
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