CMIP6 Data Citation and Long-Term Archival
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I. Data Citation / Data References

Motivation and Concept

For the evolving CMIP6 data disseminated by ESGF (Earth System Grid Federation) an early citation reference has been requested by WGCM CMIP6. These data references have to meet the requirements of Force 11’s ‘Joint Declaration of Data Citation Principles’ . The mayor publishers in Earth Sciences have signed the Commitment to Enabling FAIR Data in the Earth, Space, and Environmental Sciences and are changing their author guidelines, accordingly. For the CMIP6 data subset transferred in the long-term archive of the IPCC DDC (Data Distribution Centre) AR6, the established DataCite data publication is planned. The data citations are provided on model/MIP and simulation granularities to meet different citation requirements in literature.

Details of the concept are described in the WIP White Paper .

Statistics of DOI registrations:

Information for Data Users

Find Data References (see also blob post at
Core citation information is displayed in the ESGF portal including a link to the landing page with complete citation information. CMIP6 data citations are also discoverable in

Static tables with CMIP6 Data References (2020-03-27): CMIP6_Data_References

Information for Modeling Centers

Information for ESGF Data Node Managers and other infrastructure developers

All technical components of the citation service and the long-term archival in the DDC are summarized with examples in the specification document at:

Data Node Managers should check the completion of the data reference information. The citation service provides a specific API for this:
with a JSON formatted response and the following AND-connected attributes: institutionId, sourceId, complete (true|false), drsId

Example Calls:

CMIP6 Data Citation Service Development

User Workflows for the Data Citation Service
Figure 1: Citation Workflows and API for Data Citation Information Access.

The integration of the service in the ESGF was co-ordinated by the ESGF-QCWT (Quality Control Working Team).


II. CMIP6 Long-Term Archival and IPCC DDC AR6

IPCC DDC AR6 Reference Data Archive (

The long-term archival in the DDC adds a level of curation and long-term availability to the data according to the TRUST principles (Transparency, Responsibility, User Focus, Sustainability, Technology; Lin et al., 2020, This ensures FAIR data remains FAIR. Tasks are:
  • Metadata Enrichment with information on model, simulation, experiment, errata, citation, quality based on the CMIP6 Controlled Vocabulary and ancillary metadata resources available via the ESGF index
  • Long-Term Archival (LTA) of CMIP6 snapshot data in WDCC (World Data Center for Climate) and DataCite DOI registration including Quality Checks
  • Transfer of LTA data into IPCC DDC AR6 and documentation on web pages

Additional non-CMIP6 input/source data, which is not long-term archived in a TRUSTed repository can be archived in the IPCC DDC as supplementary data.

IPCC DDC support of IPCC AR6 Working Groups and authors

The DDC supports the IPCC authors during the preparation of the AR6 via:



M. Stockhause, M. Juckes, R. Chen, W. Moufouma Okia, A. Pirani, T. Waterfield, X. Xing, R. Edmunds (2019): Data Distribution Centre Support for the IPCC Sixth Assessment. Data Science Journal, 18(1), p.20. doi:10.5334/dsj-2019-020 .
P. J. Durack, K. E. Taylor, V. Eyring, S. K. Ames, T. Hoang, D. Nadeau, C. Doutriaux, M. Stockhause, P. J. Gleckler (2018): Toward standardized data sets for climate model experimentation. Eos, 99. doi:10.1029/2018EO101751 . Published on 02 July 2018.
M. Stockhause and M. Lautenschlager (2017): CMIP6 Data Citation of Evolving Data. Data Science Journal. 16, p.30. doi:10.5334/dsj-2017-030 .
M. Stockhause, F. Toussaint, M. Lautenschlager (2015): CMIP6 Data Citation and and Long-Term Archival. WIP white paper. Zenodo. doi:10.5281/zenodo.35178 .
M. Stockhause, H. Höck, F. Toussaint, and M. Lautenschlager (2012): Quality assessment concept of the World Data Center for Climate and its application to CMIP5 data. Geosci. Model Dev., 5, 1023-1032. 2012. doi:10.5194/gmd-5-1023-2012 .


M. Stockhause, M. Lautenschlager (2019): The importance of data references in CMIP6 data usage and IPCC climate assessments. CMIP6 Model Analysis Workshop, 25-28 March 2019, Barcelona, Spain. Zenodo. doi:10.5281/zenodo.2621084 .
M. Stockhause, M. Lautenschlager (2017): Data citation in climate sciences: Improvements in CMIP6 compared to CMIP5. AGU 2017, New Orleans, USA. Zenodo. doi:10.5281/zenodo.1148953 .
M. Stockhause, M. Lautenschlager (2017): CMIP6 Data Citation and IPCC Data Distribution Centre Services. PICO presentation at EGU 2017, Vienna, Austria. Zenodo. doi:10.5281/ZENODO.5696466 .
M. Stockhause (2016): Long-term archiving Workflow for CMIP6. Zenodo. doi:10.5281/ZENODO.157358 .
K. Berger, G. Levavasseur, M. Stockhause, and M. Lautenschlager (2015): Integration of external metadata into the Earth System Grid Federation (ESGF). PICO presentation at EGU 2015, Vienna, Austria. .
M. Stockhause (2014): Long-term archiving workflow in CMIP5 - a first review. Zenodo. doi:10.5281/zenodo.29104 .


Data Citation
(ESGF Conference 2015, Monterey, CA, USA.)
Data Citation
(ESGF Conference 2016, Washington DC, USA.)
(ESGF Conference 2016, Washington DC, USA.)
Data Citation IPCC DDC
(CMIP6 Model Analysis Workshop, 25-28 March 2019, Barcelona, Spain.)



CMIP6 Citation (this page):
CMIP6 Data Citation Search:
CMIP6 DOI Statistics:
DDC Support:
DDC Support:

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