Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-923-2021
https://doi.org/10.5194/gmd-14-923-2021
Review and perspective paper
 | 
12 Feb 2021
Review and perspective paper |  | 12 Feb 2021

Current status on the need for improved accessibility to climate models code

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

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Cited articles

ACM: Artifact Review and Badging, Tech. rep., available at: https://www.acm.org/publications/policies/artifact-review-badging (last access: 9 February 2021), 2018. a
Allison, D., Shiffrin, R., and Stodden, V.: Reproducibility of research: Issues and proposed remedies, P. Natl. Acad. Sci. USA, 115, 2561–2562, https://doi.org/10.1073/pnas.1802324115, 2018. a, b
Añel, J. A.: The importance of reviewing the code, Commun. ACM, 54, 40–41, https://doi.org/10.1145/1941487.1941502, 2011. a
Añel, J. A.: Comment on 'Most computational hydrology is not reproducible, so is it really science?' by Hutton et al., Water Resour. Res., 53, 2572–2574, https://doi.org/10.1002/2016WR020190, 2017. a, b, c
Añel, J. A.: Reflections on the Scientific Method at the beginning of the twenty-first century, Contemp. Phys., 60, 60–62, https://doi.org/10.1080/00107514.2019.1579863, 2019. a, b, c
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Short summary
This work shows that it continues to be hard, if not impossible, to obtain some of the most used climate models worldwide. We reach this conclusion through a systematic study and encourage all development teams and research centres to make public the models they use to produce scientific results.