Journal article
Improving the reproducibility in geoscientific papers: lessons learned from a Hackathon in climate science
Abstract
Abstract 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 …
Authors
Coca-Castro A; Fouilloux A; Barros Lourenço R; McDonald A; Rao Y; Hosking JS
Journal
Environmental Data Science, Vol. 4, ,
Publisher
Cambridge University Press (CUP)
Publication Date
2025
DOI
10.1017/eds.2024.35
ISSN
2634-4602