Preprints
https://doi.org/10.5194/egusphere-2025-6108
https://doi.org/10.5194/egusphere-2025-6108
12 Mar 2026
 | 12 Mar 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Code accessibility and code quality across phases of the models of the Coupled Model Intercomparison Project

Michael García-Rodríguez, Javier Rodeiro-Iglesias, and Juan A. Añel

Abstract. This study extends previous research on CMIP5 models to investigate the reproducibility of climate models within the Coupled Model Intercomparison Project (CMIP). It evaluates the accessibility to the source code of the CMIP models through all their phases, emphasizing the need for public repositories to ensure transparency regarding model input, output, and usage rights, along with an analysis of licenses for compliance with scientific standards. A central focus of the research is the assessment of code quality against best practices. In addition, the study examines the historical evolution of computational and code quality across various phases of CMIP, highlighting progress and improving traceability to support scientific reproducibility. We provide valuable insights for future research, proposing solutions and tools designed to improve replicability and enhance project lifecycles that are applicable not only to CMIP but also to broader scientific contexts.

Competing interests: Juan A. Añel, co-author of this paper, is Executive Editor of the journal.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Michael García-Rodríguez, Javier Rodeiro-Iglesias, and Juan A. Añel

Status: open (until 07 May 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Michael García-Rodríguez, Javier Rodeiro-Iglesias, and Juan A. Añel
Michael García-Rodríguez, Javier Rodeiro-Iglesias, and Juan A. Añel

Viewed

Total article views: 152 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
103 36 13 152 9 9
  • HTML: 103
  • PDF: 36
  • XML: 13
  • Total: 152
  • BibTeX: 9
  • EndNote: 9
Views and downloads (calculated since 12 Mar 2026)
Cumulative views and downloads (calculated since 12 Mar 2026)

Viewed (geographical distribution)

Total article views: 152 (including HTML, PDF, and XML) Thereof 152 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
Short summary
We studied how accessible and reliable the computer code behind major climate models has been over time. By reviewing different phases of the Coupled Model Intercomparison Project, we found improvements in transparency and coding practices, but also gaps that limit reproducibility. Our work suggests practical steps to make future climate research more open, traceable, and trustworthy for scientists and society.
Share