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Simulating the Earth system is crucial for studying Earth's climate and how it changes. Modeling approaches that simplify the Earth system while retaining key characteristics are important tools to advance understanding. The simplicity and flexibility of idealized models enables imaginative science and makes them powerful educational tools. Evolving scientific community needs and increasing model complexity, however, makes it challenging to maintain and support idealized configurations in cutting‐edge Earth system modeling frameworks. We call on the scientific community to re‐emphasize model hierarchies within these frameworks to aid in understanding the Earth system, advancing model development, and developing the future workforce. Key Points Idealized models enable imaginative science that push researchers to think in new and creative ways making them useful educational tools Reduced complexity configurations remain important tools for model development in Earth system science We call on the scientific community to re‐emphasize model hierarchies to aid in the continued understanding of the Earth system

This chapter describes the global simulations of climate change based on traditional cloud and cumulus parameterizations and the open issues in the global simulation of perturbed clouds. It discusses the emerging approaches in global process-oriented cloud modeling, which include global cloud-resolving models (GCRMs) and the multiscale modeling framework. In addition, the chapter considers cloud responses to an idealized global warming in a GCRM.