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Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet – ARTEFACT AWARD

Published online by Cambridge University Press:  10 September 2025

Harish Baki Open the ORCID record for Harish Baki [Opens in a new window]  and
Sukanta Basu
Harish Baki*
Affiliation:
Faculty of Civil Engineering and Geosciences, TU Delft, Delft, The Netherlands
Sukanta Basu
Affiliation:
Atmospheric Sciences Research Center, University at Albany, Albany, NY, USA Department of Environmental and Sustainable Engineering, University at Albany, Albany, NY, USA
*
Corresponding author: Harish Baki; Email: h.baki@tudelft.nl

Abstract

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Information

Type
Artefact Award
Information
Environmental Data Science , Volume 4 , 2025 , e43
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.

Figure 1.

Climate informatics: artifact evaluation badges: available and functional.

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

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 artefact enabling independent researchers to reproduce the results of the research is available in Zenodo: https://zenodo.org/records/13855454.

References

Baki, H (2024) Dataset for “Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet” [Data set]. In Environmental Data Science. Climate Informatics 2024 (CI2024), Tavistock Square, Bloomsbury, London WC1H 9JP, UK. Zenodo. https://doi.org/10.5281/zenodo.13855454.Google Scholar
Baki, H and Basu, S (2024) Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet. Environmental Data Science 3, e32. https://doi.org/10.1017/eds.2024.41.CrossRefGoogle Scholar
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
Figure 0

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