- 1German Climate Computing Center (DKRZ), IPCC Data Distribution Centre (DDC), Hamburg, Germany (stockhause@dkrz.de)
- 2TSU WGI, France, and Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain
- 3Centre for Environmental Data Analysis (CEDA), STFC, NERC, Oxfordshire, UK
- 4Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
- 5British Oceanographic Data Centre (BODC), NOC, Liverpool, UK
- 6Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain
- 7German Aerospace Center (DLR), Oberpfaffenhofen, Germany
- 8Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA
- 9Climate Resource, Melbourne, Australia
- 10American Geophysical Union (AGU), Washington D.C., USA
- 11Australian National University (ANU), Canberra, Australia
The introduction of FAIR data practices into the assessment process of the Intergovernmental Panel on Climate Change (IPCC) enhances the transparency of the Assessment Reports (ARs). The approach focuses on the figure creation process and the reproducibility of figures within the reports. The process of creating figures for IPCC reports makes it particularly challenging to credit all contributors. A single figure can incorporate data from observations, models, and publications, originating from numerous sources and generated by multiple authors, each contributing to different parts of the figure. Additionally, it is not always straightforward to include all those involved in the creation process, as the final data (used to produce the figure) often result from assessments and post-processing of other data (input or intermediate data). Among the plans and recommendations for the current Seventh Assessment cycle is the use of the Complex Citation approach (Stockhause et al., 2024), which has been developed in the RDA Complex Citation Working Group (Agarwal et al., 2024).
Some chapters of the ARs use established community frameworks for the generation of their figures. These are currently harmonized in the CMIP Rapid Evaluation Framework (REF) project for the AR7 Fast Track simulations. Others use interactive and shareable Jupyter notebooks. The IPCC needs to support and harmonize both ways of working. Further, the authors’ additional effort to meet the metadata and data requirements needs to be minimized. Therefore, the collaboration with both projects, REF and Jupyter, is planned to offer broad support for the ways of working of a large number of authors.
This contribution analyzes how the Complex Citation approach, with the aims of giving credit to input providers and enabling the traceability of all digital objects used to create figures, can be implemented in REF and Jupyter and integrated in the AR7 process to support the IPCC’s FAIR and open data approach.
References:
Agarwal, D., Ayliffe, J., J. H. Buck, J., Damerow, J., Parton, G., Stall, S., Stockhause, M., & Wyborn, L. (2024). Complex Citation Working Group Recommendation. Zenodo. https://doi.org/10.5281/zenodo.14106602
Stockhause M, Huard D, Al Khourdajie A, Gutiérrez JM, Kawamiya M, Klutse NAB, et al. (2024) Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects. PLOS Clim 3(12): e0000533. https://doi.org/10.1371/journal.pclm.0000533
Links:
REF project: https://wcrp-cmip.org/cmip7/rapid-evaluation-framework/
Jupyter project: https://jupyter.org/
How to cite: Stockhause, M., Sitz, L., Pascoe, C., Agarwal, D., Ayliffe, J., Buck, J., Damerow, J., Gutiérrez, J. M., Hassler, B., Hoffman, F. M., Parton, G., Lewis, J., McRae, M., Stall, S., and Wyborn, L.: How can the Complex Citation be implemented in the IPCC AR7 using existing frameworks and interactive notebooks?, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15036, https://doi.org/10.5194/egusphere-egu25-15036, 2025.
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