INTRODUCING THE LIMITS SPECIAL ISSUE

2013 ◽  
Vol 04 (04) ◽  
pp. 1302002 ◽  
Author(s):  
ELMAR KRIEGLER ◽  
MASSIMO TAVONI ◽  
KEYWAN RIAHI ◽  
DETLEF P. VAN VUUREN

This paper provides an introduction to the Special issue of Climate Change Economics containing twelve papers describing findings of the LIMITS project. These papers assess post 2020 climate policies aimed at achieving the 2°C target. The assessment is based on an ensemble of scenarios consistently implemented by a suite of leading integrated assessment models. The scenarios, conceptualized as possible outcomes of the Durban Platform negotiation process, allow for a comprehensive assessment of the implementation of policies consistent with 2°C in the major economies, under different assumptions about medium-term action and its distribution across regions.

2021 ◽  
Vol 26 (3) ◽  
pp. 205-210
Author(s):  
Simone Borghesi

AbstractThe present article describes the main insights deriving from the papers collected in this special issue which jointly provide a ‘room with a view’ on some of the most relevant issues in climate policy such as: the role of uncertainty, the distributional implications of climate change, the drivers and applications of decarbonizing innovation, the role of emissions trading and its interactions with companion policies. While looking at different issues and from different angles, all papers share a similar attention to policy aspects and implications, especially in developing countries. This is particularly important to evaluate whether and to what extent the climate policies adopted thus far in developed countries can be replicated in emerging economies.


2021 ◽  
Vol 166 (1-2) ◽  
Author(s):  
Charlie Wilson ◽  
Céline Guivarch ◽  
Elmar Kriegler ◽  
Bas van Ruijven ◽  
Detlef P. van Vuuren ◽  
...  

AbstractProcess-based integrated assessment models (IAMs) project long-term transformation pathways in energy and land-use systems under what-if assumptions. IAM evaluation is necessary to improve the models’ usefulness as scientific tools applicable in the complex and contested domain of climate change mitigation. We 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. For each evaluation method, we identify progress and milestones to date, and draw out lessons learnt as well as challenges remaining. We find that each evaluation method has distinctive strengths, as well as constraints on its application. We use these insights to propose a systematic evaluation framework combining multiple methods to establish the appropriateness, interpretability, credibility, and relevance of process-based IAMs as useful scientific tools for informing climate policy. We also set out a programme of evaluation research to be mainstreamed both within and outside the IAM community.


Author(s):  
Zili Yang ◽  
Yi-Ming Wei ◽  
Zhifu Mi

Integrated assessment models (IAMs) for climate change refers to a broad category of research approaches in climate change. Climate change is the most complicated global environmental problem. By the very nature of climate change, research has to be interdisciplinary and multifaceted. IAM is the mainstream methodological approach in climate change research. Most researchers in climate change utilize IAMs directly or indirectly. IAMs draw knowledge and strengths from various disciplines related to climate change; contributions from each discipline rely on the mathematical representations of certain relationships connected to climate change; disciplinary components are linked through a unified modeling platform(s). In particular, IAMs for climate change usually involve social-economic components as well as natural sciences components. The key linkages in IAM platforms are anthropogenic greenhouse gas (GHG) emissions in climate systems and climate change impacts on social-economic systems. The outputs of IAMs are numerical simulation results based on assumptions, historical data, and scenario designs. IAMs are widely used in assessing various GHG mitigation policies and climate impacts. In fact, conclusions in the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports are drawn substantially from numerous IAMs. IAMs for climate change started in the late 1980s. Since then, IAMs for climate change have developed into a full-fledged interdisciplinary research field that involves hundreds of models, thriving online resources, and thousands of academic publications and policy reports around the world. IAM for climate change, as an interdisciplinary research approach, has received recognition by mainstream disciplines. The Dynamic Integrated model of Climate and the Economy (DICE) and the Regional Integrated model of Climate and the Economy (RICE)—two IAMs for climate change—are part of the core contributions in William Nordhaus’s Nobel Prize in Economic Sciences in 2018.


2020 ◽  
Author(s):  
David Stainforth ◽  
Raphael Calel ◽  
Sandra Chapman ◽  
Nicholas Watkins

<p>Integrated Assessment Models (IAMs) are widely used to evaluate the economic costs of climate change, the social cost of carbon and the value of mitigation policies. These IAMs include simple energy balance models (EBMs) to represent the physical climate system and to calculate the timeseries of global mean temperature in response to changing radiative forcing[1]. The EBMs are deterministic in nature which leads to smoothly varying GMT trajectories so for simple monotonically increasing forcing scenarios (e.g. representative concentration pathways (RCPs) 8.5, 6.0 and 4.5) the GMT trajectories are also monotonically increasing. By contrast real world, and global-climate-model-derived, timeseries show substantial inter-annual and inter-decadal variability. Here we present an analysis of the implications of this intrinsic variability for the economic consequences of climate change.</p><p>We use a simple stochastic EBM to generate large ensembles of GMT trajectories under each of the RCP forcing scenarios. The damages implied by each trajectory are calculated using the Weitzman damage function. This provides a conditional estimate of the unavoidable uncertainty in implied damages. It turns out to be large and positively skewed due to the shape of the damage function. Under RCP2.6 we calculate a 5-95% range of -30% to +52% of the deterministic value; -13% to +16% under RCP 8.5. The risk premia associated with such unavoidable uncertainty are also significant. Under our economic assumptions a social planner would be willing to pay 32 trillion dollars to avoid just the intrinsic uncertainty in RCP8.5. This figure rises further when allowance is made for epistemic uncertainty in relation to climate sensitivity. We conclude that appropriate representation of stochastic variability in the climate system is important to include in future economic assessments of climate change.</p><p><br>[1] Calel, R. and Stainforth D.A., “On the Physics of Three Integrated Assessment Models”, Bulletin of the American Meteorological Society, 2017.</p><p> </p>


2011 ◽  
Vol 113 (3-4) ◽  
pp. 897-917 ◽  
Author(s):  
Andries F. Hof ◽  
Chris W. Hope ◽  
Jason Lowe ◽  
Michael D. Mastrandrea ◽  
Malte Meinshausen ◽  
...  

2012 ◽  
Vol 7 (2) ◽  
pp. 024012 ◽  
Author(s):  
Detlef P van Vuuren ◽  
Laura Batlle Bayer ◽  
Clifford Chuwah ◽  
Laurens Ganzeveld ◽  
Wilco Hazeleger ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document