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This article reviews the use of integrated assessment models (IAMs) in climate policy and research at the global scale. Two different types of IAMs are discussed. First, there are models that focus on climate change mitigation options and climate change impacts in some detail without necessarily valuing or aggregating all possible impacts into a single measure of projected climate damages. Here they are called detailed process (DP) IAMs. A second class of IAMs are much more highly aggregated and focus on calculating carbon emissions trajectories and carbon prices that maximize global welfare. Here these models are referred to as aggregate benefit–cost analysis (BCA) IAMs.Early IAMs of both types were introduced about 30 years ago and by now have been applied to many important policy and research design issues. Continual advancements in physical and economic system understanding, modeling techniques, and computational power should continue to open up many additional opportunities for using these models to provide relevant information to decision makers. While the models can be improved in many areas, much of the uncertainty that exists reflects a lack of complete scientific understanding of the systems involved rather than limitations of one or another approach to model construction and use.
John P. Weyant (Sun,) studied this question.