Hostname: page-component-54dcc4c588-b5cpw Total loading time: 0 Render date: 2025-09-19T16:15:18.510Z Has data issue: false hasContentIssue false
  • English
  • Français

Scalable data assimilation with message passing – ARTEFACT AWARD

Published online by Cambridge University Press:  15 September 2025

Oscar Key Open the ORCID record for Oscar Key [Opens in a new window] ,
So Takao ,
Daniel Giles Open the ORCID record for Daniel Giles [Opens in a new window]  and
Marc Peter Deisenroth Open the ORCID record for Marc Peter Deisenroth [Opens in a new window]
Oscar Key*
Affiliation:
UCL Centre for Artificial Intelligence, University College London, London, UK
So Takao
Affiliation:
UCL Centre for Artificial Intelligence, University College London, London, UK Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA
Daniel Giles*
Affiliation:
UCL Centre for Artificial Intelligence, University College London, London, UK
Marc Peter Deisenroth
Affiliation:
UCL Centre for Artificial Intelligence, University College London, London, UK The Alan Turing Institute, London, UK
*
Corresponding authors: Oscar Key and Daniel Giles; Email: oscar.key.20@ucl.ac.uk
Corresponding authors: Oscar Key and Daniel Giles; Email: oscar.key.20@ucl.ac.uk

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Information

Type
Artefact Award
Information
Environmental Data Science , Volume 4 , 2025 , e44
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Following the acceptance of their article in Climate Informatics 2024, the authors provided an artifact that was assessed by reviewers as part of a reproducibility challenge that took place after the event.

The Climate Informatics Reproducibility Committee are delighted to award the authors the Available and Functional Badges to recognize their commitment to open reproducible research.

Figure 1. Climate informatics: Artifact evaluation badges: available and functional.

To read more about the initiative, including the evaluation guidelines and the review process, see: https://zenodo.org/records/15303531.

We thank the authors and the reviewers for taking part in this initiative.

Data availability statement

The artifact enabling independent researchers to reproduce the results of the research is available in Zenodo: https://zenodo.org/records/14176688.

References

Coca-Castro, A, Hyde, A, Gould van Praag, C, Orchard, D, Perera, R and Weinzierl, M (2025) Climate informatics 2024 artifact evaluation initiative (2025.04.0). Zenodo. https://doi.org/10.5281/zenodo.15303531.Google Scholar
Key, O, Takao, S, Giles, D and Deisenroth, MP (2024) Message passing for data assimilation (v0.1.4). Zenodo. https://doi.org/10.5281/zenodo.14176688.Google Scholar
Key, O, Takao, S, Giles, D and Deisenroth, MP (2025) Scalable data assimilation with message passing. Environmental Data Science 4, e1. https://doi.org/10.1017/eds.2024.47.CrossRefGoogle Scholar
Figure 0

Figure 1. Climate informatics: Artifact evaluation badges: available and functional.