Abstract

Abstract Integrated assessment models (IAMs) are the main tools for combining physical and economic analyses to develop and assess climate change policy. Policy makers have relied heavily on three IAMs in particular—Dynamic Integrated model of Climate and the Economy (DICE), The Climate Framework for Uncertainty, Negotiation and Distribution (FUND), and Policy Analysis for the Greenhouse Effect (PAGE)—when trying to balance the benefits and costs of climate action. Unpacking the physics of these IAMs accomplishes four things. First, it reveals how the physics of these IAMs differ and the extent to which those differences give rise to different visions of the human and economic costs of climate change. Second, it makes these IAMs more accessible to the scientific community and thereby invites further physical expertise into the IAM community so that economic assessments of climate change can better reflect the latest physical understanding of the climate system. Third, it increases the visibility of the link between the physical sciences and the outcomes of policy assessments so that the scientific community can focus more sharply on those unresolved questions that loom largest in policy assessments. And finally, in making explicit the link between these IAMs and the underlying physical models, one gains the ability to translate between IAMs using a common physical language. This translation key will allow multimodel policy assessments to run all three models with physically comparable baseline scenarios, enabling the economic sources of uncertainty to be isolated and facilitating a more informed debate about the most appropriate mitigation pathway.

Highlights

  • Reuse of this item is permitted through licensing under the Creative Commons: This version available at: http://eprints.lse.ac.uk/68153/

  • When we make the physics of Integrated assessment models (IAMs) the focus of our inquiries, we find that there are challenges both in interpreting many of the physical parameters and equations and in relating them between models— a problem that cannot be solved by computational experiments alone

  • We show how this approach can be used as a basis for successively eliminating physically based differences in model output, and we illustrate our approach by comparing the temperature forecasting components of DICE, Policy Analysis for the Greenhouse Effect (PAGE), and FUND

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Summary

On the physics of three integrated assessment models

Original citation: Calel, Raphael and Stainforth, David A. (2017) On the physics of three integrated assessment models. Original citation: Calel, Raphael and Stainforth, David A. (2017) On the physics of three integrated assessment models. Bulletin of the American Meteorological Society, 98 (6). Reuse of this item is permitted through licensing under the Creative Commons:. LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website

ON THE PHYSICS OF THREE INTEGRATED ASSESSMENT MODELS
AMERICAN METEOROLOGICAL SOCIETY
THE PHYSICS OF TEMPERATURE FORECASTS
Findings
Biome switch
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