Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Journal Article · Sat Oct 15 00:00:00 EDT 2022 · Scientific Data

DOI:https://doi.org/10.1038/s41597-022-01739-y· OSTI ID:2424337

Iturbide, Maialen ^[1]; Fernández, Jesús ^[1]; Gutiérrez, José M. ^[1]; Pirani, Anna ^[2]; Huard, David ^[3]; Al Khourdajie, Alaa ^[4]; Baño-Medina, Jorge ^[1]; Bedia, Joaquin ^[1]; Casanueva, Ana ^[1]; Cimadevilla, Ezequiel ^[1]; Cofiño, Antonio S. ^[1]; De Felice, Matteo ^[5]; Diez-Sierra, Javier ^[1]; García-Díez, Markel ^[6]; Goldie, James ^[7]; Herrera, Dimitris A. ^[8]; Herrera, Sixto ^[1]; Manzanas, Rodrigo ^[1]; Milovac, Josipa ^[1]; Radhakrishnan, Aparna ^[9] ; San-Martín, Daniel ^[6]; Spinuso, Alessandro ^[10]; Thyng, Kristen M. ^[11]; Trenham, Claire ^[12]; Yelekçi, Özge ^[13]

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1. Univ. of Cantabria, Santander, Cantabria (Spain)
2. International Centre for Theoretical Physics (ICTP), Trieste (Italy)
3. Ouranos, Montréal, QC (Canada)
4. Imperial College London (United Kingdom)
5. European Commission, Petten (Netherlands). Joint Research Centre (JRC)
6. Predictia Intelligent Data Solutions S.L., Santander (Spain)
7. Monash Univ., Melbourne, VIC (Australia)
8. Universidad Autónoma de Santo Domingo (Dominican Republic); Univ. of Tennessee, Knoxville, TN (United States)
9. Princeton Univ., NJ (United States)
10. Koninklijk Nederlands Meteorologisch Instituut (KNMI), De Bilt (Netherlands)
11. Axion Data Science, Anchorage, AK (United States)
12. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT (Australia)
13. Univ. Paris-Saclay, Gif-sur-Yvette (France)

The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has adopted the FAIR Guiding Principles. We present the Atlas chapter of Working Group I (WGI) as a test case. We describe the application of the FAIR principles in the Atlas, the challenges faced during its implementation, and those that remain for the future. We introduce the open source repository resulting from this process, including coding (e.g., annotated Jupyter notebooks), data provenance, and some aggregated datasets used in some figures in the Atlas chapter and its interactive companion (the Interactive Atlas), open to scrutiny by the scientific community and the general public. We describe the informal pilot review conducted on this repository to gather recommendations that led to significant improvements. Finally, a working example illustrates the re-use of the repository resources to produce customized regional information, extending the Interactive Atlas products and running the code interactively in a web browser using Jupyter notebooks.

• Research Organization: US Department of Energy (USDOE), Washington, DC (United States). Program for Climate Model Diagnosis
• Sponsoring Organization: European Union Horizon 2020 Program; USDOE
• OSTI ID: 2424337
• Journal Information: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 9; ISSN 2052-4463
• Publisher: Nature Publishing Group
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
Climate and Earth system modelling
Projection and prediction