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April 19, 2026Geoscientific model development3 citationsOpen Access

CMIP7 Data Request: atmosphere priorities and opportunities

BDBeth DingleyJAJames A. AnsteyMAMarta Abalos

Key Points

  • The aim is to outline key data requests and research opportunities for atmospheric science in CMIP7.
  • Reviewed processes and feedbacks in atmospheric science.
  • Collected input from a thematic group of community representatives.
  • Conducted an extensive consultation process for data prioritization.
  • Identified key atmospheric themes such as clouds and aerosols.
  • Highlighted the need for data to address gaps from previous CMIP rounds.
  • Emphasized the significance of data for various societal sectors relying on climate models.

Abstract

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.

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Cite This Study

Dingley et al. (2026) studied this question.

synapsesocial.com/papers/69e47321010ef96374d8f04fhttps://doi.org/10.5194/gmd-19-2945-2026
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