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CMIP7 Data Request: atmosphere priorities and opportunities

  • Beth Dingley
  • , James A. Anstey
  • , Marta Abalos
  • , Carsten Abraham
  • , Tommi Bergman
  • , Lisa Bock
  • , Sonya Fiddes
  • , Birgit Hassler
  • , Ryan J. Kramer
  • , Fei Luo
  • , Fiona M. O'Connor
  • , Petr Šácha
  • , Isla R. Simpson
  • , Laura J. Wilcox
  • , Mark D. Zelinka
  • ECSAT
  • Université Laval and Environment and Climate Change Canada
  • Complutense University
  • University of Victoria BC
  • Finnish Meteorological Institute
  • German Aerospace Center
  • University of Tasmania
  • National Oceanic and Atmospheric Administration
  • Meteorological Service Singapore
  • Vrije Universiteit Amsterdam
  • Royal Netherlands Meteorological Institute
  • Met Office
  • University of Exeter
  • Charles University
  • National Center for Atmospheric Research
  • University of Reading
  • Lawrence Livermore National Laboratory

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper presents a comprehensive overview of the Coupled Model Intercomparison Project Phase 7 (CMIP7) request for data unlocking key research avenues in atmospheric science and provides justification for the resources needed to produce this data. Topics within the CMIP7 Atmosphere Theme centre around processes and feedbacks in atmospheric science such as clouds, aerosols and atmospheric chemistry, atmospheric circulation, temperature variability and extremes, radiative forcings, and Earth system model evaluation. These topics are summarised in this paper as scientific “opportunities” which will be realised through CMIP7 experiments and Earth system model outputs. These opportunities were submitted by a thematic group of atmospheric science community representatives combined with an extended consultation process. The production of these variables will close key gaps and uncertainties identified during previous rounds of CMIP, and will be broadly used by scientific, policy, governmental, industry, and other communities that rely on climate model projections for research and decision making, including supporting the 7th Intergovernmental Panel on Climate Change Assessment Report (AR7). As an author group, we also reflect on the process used to collate this data request and make recommendations to future CMIP governance on implementing a consultation on this scale in the future.

Original languageEnglish
Pages (from-to)2945-2984
Number of pages40
JournalGeoscientific Model Development
Volume19
Issue number7
DOIs
StatePublished - Apr 17 2026
Externally publishedYes

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