Review of climate simulation by Simple Climate Models

Abstract. Simple Climate Models (SCMs) are a key tool in climate research, enabling the rapid exploration of climate responses beyond the reach of more complex models and aiding in the estimation of future climate uncertainty. Over the past two decades, the number and diversity of SCMs have expanded considerably, increasing their use but also complicating efforts to understand differences in model structure and their implications. The reduced-complexity model intercomparison project (RCMIP) has begun to address this challenge by comparing output from a wide range of SCMs. However, the need for a systematic analysis of model structure remains. Here, we complement RCMIP's work by systematically analysing the structure, components, and development histories of the 14 SCMs participating in RCMIP. We begin with a summary of the core principles underpinning SCM-based climate simulation, then review genealogy and design choices of each model. This synthesis provides a comprehensive reference for both developers and users, clarifying the diverse approaches within the SCM landscape and supporting informed use and further development of these models.

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Publication Details

Journal
Geoscientific model development
Published
2026-01-07
DOI
https://doi.org/10.5194/gmd-19-115-2026
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
36.62
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article

Review of climate simulation by Simple Climate Models

Camilla Mathison, Chris Smith, Alejandro Romero-Prieto
1 citations
Geoscientific model development
Climate variability and models
36.62
article

Review of climate simulation by Simple Climate Models

Camilla Mathison, Chris Smith, Alejandro Romero-Prieto
article en
1 citations

Abstract

Abstract. Simple Climate Models (SCMs) are a key tool in climate research, enabling the rapid exploration of climate responses beyond the reach of more complex models and aiding in the estimation of future climate uncertainty. Over the past two decades, the number and diversity of SCMs have expanded considerably, increasing their use but also complicating efforts to understand differences in model structure and their implications. The reduced-complexity model intercomparison project (RCMIP) has begun to address this challenge by comparing output from a wide range of SCMs. However, the need for a systematic analysis of model structure remains. Here, we complement RCMIP's work by systematically analysing the structure, components, and development histories of the 14 SCMs participating in RCMIP. We begin with a summary of the core principles underpinning SCM-based climate simulation, then review genealogy and design choices of each model. This synthesis provides a comprehensive reference for both developers and users, clarifying the diverse approaches within the SCM landscape and supporting informed use and further development of these models.

Geoscientific model developmentVol. 19(1)
Met Office (GB), University of Leeds (GB), International Institute for Applied Systems Analysis (AT), Vrije Universiteit Brussel (BE)
Climate action
Openalex Percentile: Top 2%
Climate variability and models
36.62
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Review of climate simulation by Simple Climate Models — Camilla Mathison, Chris Smith, et al. · Geoscientific model development (2026) | TGRS Research Map | TGRS