Integrated Assessment Model

The authors of this paper show that with medium estimates for damage functions, global damages are in the range of 10% to 12% of GDP by 2100 in a baseline scenario with 3 °C temperature change, and about 2% in a well-below 2 °C scenario. Read more

The authors of this paper define a model selection parameter, which switches on one of a suite of proposed climate nonlinearities and multidecadal climate feedbacks. find that a model with a temperature-dependent climate feedback is most consistent with global mean surface temperature observations, but that the sign of the temperature-dependence is opposite of what Earth system models suggest. Read more

This review seeks to provide a common basis for natural scientists, social scientists, and modellers to understand the research challenges involved in evaluating the economic risks of climate change. Read more

The authors of this paper argue that, despite their dominance in the economics literature and influence in public discussion and policymaking, the methodology employed by Integrated Assessment Models (IAMs) rests on flawed foundations, which become particularly relevant in relation to the realities of the immense risks and challenges of climate change, and the radical changes in our economies that a sound and effective response require. Read more

The case for action on climate change with urgency and at scale rests on the immense magnitude of climate risk,... Read more

The authors of this paper present an alternative approach to determining the Social Cost of Carbon (SCC) that takes as given the objectives of the Paris Agreement and the Biden administration’s commitment to the US reaching net-zero emissions by 2050. Read more

15 years on from the Stern Review, here Nicholas Stern argues that the COVID-19 and climate crises, and the weaknesses that produced them, should be tackled together and that the response must be a new sustainable, resilient and inclusive approach to growth and development. Read more

The authors of this paper contribute the first comprehensive synthesis of process-based IAM evaluation research, drawing on a wide range of examples across six different evaluation methods including historical simulations, stylised facts, and model diagnostics. Read more