Kelleher et al. (2026) LIVVkit/evv4esm: EVV v0.6.1

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-04-07
• Authors: Mike Kelleher, Joseph H Kennedy
• DOI: 10.5281/zenodo.19462415

Research Groups

LIVVkit project (developers of EVV)

Short Summary

This paper announces the release of EVV 0.6.1, an updated software tool providing statistical climate reproducibility tests for Earth system models, featuring new statistical tests and bug fixes.

Objective

• To present the updates and enhancements in EVV version 0.6.1, a software tool designed for statistical climate reproducibility testing of Earth system models.

Study Configuration

• Spatial Scale: Global (applicability to Earth system models, including atmosphere and sea ice components)
• Temporal Scale: Climate (applicability to long-term climate simulations)

Methodology and Data

• Models used: EVV (Earth system model Verification and Validation tool), specifically incorporating the Kolmogorov-Smirnov (K-S) test and its variants (MVKxx, KSO).
• Data sources: Model output data from Earth system models.

Main Results

• The EVV 0.6.1 release includes:
  • Integration of MVKxx into the Kolmogorov-Smirnov (K-S) test.
  • Introduction of new statistical tests for the K-S atmosphere test.
  • Resolution of issues encountered when applying KSO to MPAS sea ice model outputs.

Contributions

• Advancement of a robust open-source tool for statistical climate reproducibility testing of Earth system models.
• Improved capabilities for verifying and validating Earth system models, particularly for assessing non-bit-for-bit changes in model behavior.
• Specific enhancements to K-S testing for atmospheric and sea ice components, broadening the tool's applicability and accuracy.

Funding

• Not specified in the provided text.

Citation

@article{Kelleher2026LIVVkitevv4esm,
  author = {Kelleher, Mike and Kennedy, Joseph H},
  title = {LIVVkit/evv4esm: EVV v0.6.1},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19462415},
  url = {https://doi.org/10.5281/zenodo.19462415}
}