CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5]

Abstract. This paper outlines the scope, development and publication of data requirements for a set of reference climate simulations, and describes the methodology used to gather and synthesise them into a cohesive 'Data Request' usable by data producers. The simulations supported by this Data Request comprise the initial phase of the next upgrade of research activities under the World Climate Research Programme (WCRP). Dunne et al. (2025) set out the scientific scope and objectives of the Assessment Fast Track and its role in initiating the seventh phase of the Coupled Model Intercomparison Project (CMIP7), a key part of the next WCRP activity upgrade. Building on the successes of past CMIP phases which have supported an ever-expanding scope of work, the Data Request Task Team reached out to new communities to enhance engagement in CMIP. A transparent and community-led approach was adopted, where domain experts from the CMIP community were recruited into five teams by domain called 'Thematic Author Teams' to co-create data requirements through wide consultation. This paper describes the process of gathering data requirements in the initial phase of CMIP7, along with the structure of the CMIP7 Data Request itself. Version 1.2.2.3 of the CMIP7 Data Request (DR7) covers the data production requirements for i) control simulations of the past climate (both distant and recent), ii) key sensitivity experiments focusing on critical aspects of climate and model behaviour, and iii) a range of future climate scenarios. It consists of a relational database that maps climate variables to reference experiments according to scientific objectives, with associated metadata to enable data production and tools to allow interoperability and content exploration. The usage of climate models and CMIP data is broadening from its origins in scientific study of the physical environment to support the analysis of climate impacts, and planning for an ever-increasing portfolio of mitigation and adaptation measures. To support this growing scope, DR7 introduces a new organising component, Opportunities, to support transparent mapping between variables and experiments. The 46 Opportunities in DR7 represent the key community-driven use cases across CMIP data users – each describing why its combination of variables and experiments is important and how they contribute to impact, providing both scientific justification and technical requirements. It is challenging to represent the needs of the rapidly expanding CMIP community and user base while respecting the capacity limitations of CMIP data production. DR7 addresses this through a process of wide stakeholder engagement centred around an open consultation and community co-creation, while prioritising stakeholder representation and diversity. Innovations in interactive web tools and enhanced WCRP support through the CMIP IPO and Task Teams were also critical to the process of developing data requirements in collaboration with the community.

Authors

Institutions

Publication Details

Journal
Geoscientific model development
Published
2026-09-01
DOI
https://doi.org/10.5194/gmd-19-8053-2026
Citations
2
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
34.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5]

Tomas Lovato, Briony Turner, Matthew Mizielinski, Charlotte Pascoe et al.
2 citations
Geoscientific model development
Research Data Management Practices
34.30
article

CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5]

Tomas Lovato, Briony Turner, Matthew Mizielinski, Charlotte Pascoe, Gaëlle Rigoudy, Eleanor O’Rourke, Michio Kawamiya, Martin Juckes, Chloe Mackallah, Tommi Bergman, Charles D. Koven, Beth Dingley, Alison Pamment, Martin Schupfner, Marie-Pierre Moine, Daniel Ellis, James Anstey
article en
2 citations

Abstract

Abstract. This paper outlines the scope, development and publication of data requirements for a set of reference climate simulations, and describes the methodology used to gather and synthesise them into a cohesive 'Data Request' usable by data producers. The simulations supported by this Data Request comprise the initial phase of the next upgrade of research activities under the World Climate Research Programme (WCRP). Dunne et al. (2025) set out the scientific scope and objectives of the Assessment Fast Track and its role in initiating the seventh phase of the Coupled Model Intercomparison Project (CMIP7), a key part of the next WCRP activity upgrade. Building on the successes of past CMIP phases which have supported an ever-expanding scope of work, the Data Request Task Team reached out to new communities to enhance engagement in CMIP. A transparent and community-led approach was adopted, where domain experts from the CMIP community were recruited into five teams by domain called 'Thematic Author Teams' to co-create data requirements through wide consultation. This paper describes the process of gathering data requirements in the initial phase of CMIP7, along with the structure of the CMIP7 Data Request itself. Version 1.2.2.3 of the CMIP7 Data Request (DR7) covers the data production requirements for i) control simulations of the past climate (both distant and recent), ii) key sensitivity experiments focusing on critical aspects of climate and model behaviour, and iii) a range of future climate scenarios. It consists of a relational database that maps climate variables to reference experiments according to scientific objectives, with associated metadata to enable data production and tools to allow interoperability and content exploration. The usage of climate models and CMIP data is broadening from its origins in scientific study of the physical environment to support the analysis of climate impacts, and planning for an ever-increasing portfolio of mitigation and adaptation measures. To support this growing scope, DR7 introduces a new organising component, Opportunities, to support transparent mapping between variables and experiments. The 46 Opportunities in DR7 represent the key community-driven use cases across CMIP data users – each describing why its combination of variables and experiments is important and how they contribute to impact, providing both scientific justification and technical requirements. It is challenging to represent the needs of the rapidly expanding CMIP community and user base while respecting the capacity limitations of CMIP data production. DR7 addresses this through a process of wide stakeholder engagement centred around an open consultation and community co-creation, while prioritising stakeholder representation and diversity. Innovations in interactive web tools and enhanced WCRP support through the CMIP IPO and Task Teams were also critical to the process of developing data requirements in collaboration with the community.

Geoscientific model developmentVol. 19(17)
CSIRO Oceans and Atmosphere (AU), Finnish Meteorological Institute (FI), Rutherford Appleton Laboratory (GB), Met Office (GB), Centre National de la Recherche Scientifique (FR), Japan Agency for Marine-Earth Science and Technology (JP), Environment and Climate Change Canada (CA), Lawrence Berkeley National Laboratory (US), Science and Technology Facilities Council (GB), Université Fédérale de Toulouse Midi-Pyrénées (FR), Tohoku University (JP), German Climate Computing Centre (DE), University of Oxford (GB), Centre National de Recherches Météorologiques (FR), Research Complex at Harwell (GB), European Centre for Space Applications and Telecommunications (GB), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (FR), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), National Centre for Atmospheric Science (GB), Météo-France (FR), Institut de Recherche pour le Développement (FR), Climat, Environnement, Couplages et Incertitudes (FR)
European Space Agency, Met Office, European Society for Medical Oncology, Development of Advanced Measurement and Analysis Systems
Climate action
Openalex Percentile: Top 1%
Research Data Management Practices
34.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.