Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science

Coca-Castro, Alejandro ORCID: https://orcid.org/0000-0002-9264-1539; Fouilloux, Anne ORCID: https://orcid.org/0000-0002-1784-2920; Barros Lourenço, Ricardo ORCID: https://orcid.org/0000-0002-4158-3244; McDonald, Andrew ORCID: https://orcid.org/0000-0001-9994-2476; Rao, Yuhan ORCID: https://orcid.org/0000-0001-6850-3403; Hosking, Scott ORCID: https://orcid.org/0000-0002-3646-3504. 2025 Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science. Environmental Data Science, 4. 10, pp. 10.1017/eds.2024.35

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Abstract/Summary

In this paper, we explore the crucial role and challenges of computational reproducibility in geosciences, drawing insights from the Climate Informatics Reproducibility Challenge (CICR) in 2023. The competition aimed at (1) identifying common hurdles to reproduce computational climate science; and (2) creating interactive reproducible publications for selected papers of the Environmental Data Science journal. Based on lessons learned from the challenge, we emphasize the significance of open research practices, mentorship, transparency guidelines, as well as the use of technologies such as executable research objects for the reproduction of geoscientific published research. We propose a supportive framework of tools and infrastructure for evaluating reproducibility in geoscientific publications, with a case study for the climate informatics community. While the recommendations focus on future CIRCs, we expect they would be beneficial for wider umbrella of reproducibility initiatives in geosciences.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1017/eds.2024.35
ISSN:	2634-4602
Additional Keywords:	climate informatics; computational research; notebooks; reproducible research; reproduction assessment
Date made live:	13 Feb 2025 14:05 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/538907

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