Climate model projections are used to inform policy decisions and constitute a major focus of climate research. Confidence in climate projections relies on the adequacy of climate models for those projections. The question of how to argue for the adequacy of models for climate projections has not gotten sufficient attention in the climate modeling community. The most common way to evaluate a climate model is to assess in a quantitative way degrees of 'model fit'; that is, how well model results fit observation-based data (empirical accuracy) and agree with other models or model versions (robustness). However, such assessments are largely silent about what those degrees of fit imply for a model's adequacy for projecting future climate. We provide a conceptual framework for discussing the evaluation of the adequacy of models for climate projections. Drawing on literature from philosophy of science and climate science, we discuss the potential and limits of inferences from model fit. We suggest that support of a model by background knowledge is an additional consideration that can be appealed to in arguments for a model's adequacy for long-term projections, and that this should explicitly be spelled out. Empirical accuracy, robustness and support by background knowledge neither individually nor collectively constitute sufficient conditions in a strict sense for a model's adequacy for long-term projections. However, they provide reasons that can be strengthened by additional information and thus contribute to a complex non-deductive argument for the adequacy of a climate model or a family of models for long-term climate projections. © 2017 The Authors.WIREs Climate Change published by Wiley Periodicals, Inc.
How to cite this article:WIREs Clim Change 2017Change , 8:e454. doi: 10.1002
INTRODUCTIONT here is now broad scientific consensus that the Earth's climate has changed significantly over the last century, that much of the observed large-scale warming can be attributed to greenhouse gas emissions associated with human activities, and that these trends will continue in the near future. 1 Less clear is how exactly the climate will change in the more distant future on the global and on regional scales if greenhouse gas emissions increase, stabilize or decrease in particular ways. Climate predictions that are conditional on forcing scenarios are called climate projections. They tell us how one or more climate characteristics would evolve if greenhouse gas concentrations and other external forcings were to follow specified pathways in the future. Projections are currently a major focus of climate research, which is undertaken (and funded) in part with the aim of providing input to policy decisions for mitigation and adaptation to anthropogenic climate change. To project climate change, climate scientists inevitably have to rely on complex numerical climate models. But to what extent can we trust model-based climate projections?Climate model projections cannot be directly evaluated. Most of them have forcing scenarios...