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Integrated assessment modelling

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possible states of the system in the future with aspects and dynamics that cannot be known to observers of the current state of the system. This type of uncertainty around future states of an evolutionary system has been referred to as ‘radical’ or ‘fundamental’ uncertainty. This has led some researchers to call for more work on the broader array of possible futures and calling for modelling research on those alternative scenarios that have yet to receive substantial attention, for example post-growth scenarios.
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development. While the detail and extent of integrated disciplines varies strongly per model, all climatic integrated assessment modelling includes economic processes as well as processes producing greenhouse gases. Other integrated assessment models also integrate other aspects of human development such as education, health, infrastructure, and governance.
112:(IPCC) has relied on process-based integrated assessment models to quantify mitigation scenarios. They have been used to explore different pathways for staying within climate policy targets such as the 1.5 °C target agreed upon in the Paris Agreement. Moreover, these models have underpinned research including energy policy assessment and simulate the 143:, or the marginal social cost of emitting one more tonne of carbon (as carbon dioxide) into the atmosphere at any point in time. For instance, the DICE, PAGE, and FUND models have been used by the US Interagency Working Group to calculate the social cost of carbon and its results have been used for regulatory impact analysis. 70:. The word assessment comes from the use of these models to provide information for answering policy questions. To quantify these integrated assessment studies, numerical models are used. Integrated assessment modelling does not provide predictions for the future but rather estimates what possible scenarios look like. 701: 178:
All numerical models have shortcomings. Integrated Assessment Models for climate change, in particular, have been severely criticized for problematic assumptions that led to greatly overestimating the cost/benefit ratio for mitigating climate change while relying on economic models inappropriate to
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Models undertaking optimisation methodologies have received numerous different critiques, a prominent one however, draws on the ideas of dynamical systems theory which understands systems as changing with no deterministic pathway or end-state. This implies a very large, or even infinite, number of
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create a perception of knowledge and precision that is illusory, and can fool policy-makers into thinking that the forecasts the models generate have some kind of scientific legitimacy". Still, it has been argued that attempting to calculate the social cost of carbon is useful to gain insight into
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Rogelj, J. Popp, A. Calvin, K.V. Luderer, G. Emmerling, J. Gernaat, D. Fujimori, S. Strefler, J. Hasegawa, T. Marangoni, G. Krey, V. Kriegler, E. Riahi, K. van Vuuren, D.P. Doelman, J. Drouet, L. Edmonds, J. Fricko, O. Harmsen, M. Havlik, P. Humpenöder, F. Stehfest, E. Tavoni, M. (2018-03-05).
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that tries to link main features of society and economy with the biosphere and atmosphere into one modelling framework. The goal of integrated assessment modelling is to accommodate informed policy-making, usually in the context of climate change though also in other areas of human and social
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There are different types of integrated assessment models. One classification distinguishes between firstly models that quantify future developmental pathways or scenarios and provide detailed, sectoral information on the complex processes modelled. Here they are called process-based models.
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Keppo, Ilkka Johannes; Butnar, I; Bauer, N; Caspani, M; Edelenbosch, O; Emmerling, J; Fragkos, P; Guivarch, C; Harmsen, M; Lefèvre, J; Le Gallic, T; Leimbach, M; McDowall, W; Mercure, J-F; Schaeffer, R; Trutnevyte, E; Wagner, F (April 2021).
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Luderer, Gunnar; Leimbach, Marian; Bauer, Nico; Kriegler, Elmar; Baumstark, Lavinia; Bertram, Christoph; Giannousakis, Anastasis; Hilaire, Jerome; Klein, David (2015). "Description of the REMIND Model (Version 1.6)".
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Baumstark, Lavinia; Bauer, Nico; Benke, Falk; Bertram, Christoph; Bi, Stephen; Gong, Chen Chris; Dietrich, Jan Philipp; Dirnaichner, Alois; Giannousakis, Anastasis; Hilaire, Jérôme; Klein, David (2021-10-28).
1424: 1148: 158:, the cost of emissions is required. However, the estimates of the social cost of carbon are highly uncertain and will remain so for the foreseeable future. It has been argued that "IAM-based analyses of 890:"The MESSAGE Integrated Assessment Model and the ix modeling platform (ixmp): An open framework for integrated and cross-cutting analysis of energy, climate, the environment, and sustainable development" 179:
the problem. In 2021, the integrated assessment modeling community examined gaps in what was termed the "possibility space" and how these might best be consolidated and addressed. In an October
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Yumashev, Dmitry Hope, Chris Schaefer, Kevin Riemann-Campe, Kathrin Iglesias-Suarez, Fernando Jafarov, Elchin Burke, Eleanor J. Young, Paul J. Elshorbany, Yasin Whiteman, Gail (2019-04-23).
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Integrated assessment models have not been used solely to assess environmental or climate change-related fields. They have also been used to analyze patterns of conflict, the
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the effect of certain processes on climate impacts, as well as to better understand one of the determinants international cooperation in the governance of climate agreements.
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Huppmann, Daniel; Gidden, Matthew; Fricko, Oliver; Kolp, Peter; Orthofer, Clara; Pimmer, Michael; Kushin, Nikolay; Vinca, Adriano; Mastrucci, Alessio (February 2019).
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Climate change 2014: mitigation of climate change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
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equations), or models that determine (globally) optimal economic solutions from the perspective of a social planner, assuming (partial) equilibrium of the economy.
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Calvin, Katherine; Patel, Pralit; Clarke, Leon; Asrar, Ghassem; Bond-Lamberty, Ben; Cui, Ryna Yiyun; Di Vittorio, Alan; Dorheim, Kalyn; Edmonds, Jae (2019-02-15).
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to find estimates of the total costs of climate change. A second classification makes a distinction between models that extrapolate verified patterns (via
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argues that existing IAMs are inherently unable to capture the economic realities of the climate crisis under its current state of rapid progress.
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Böhringer, Christoph; Rutherford, Thomos F. (September 2009). "Integrated assessment of energy policies: Decomposing top-down and bottom-up".
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United States. Interagency Working Group on Social Cost of Carbon, issuing body. Council of Economic Advisers (U.S.), sponsoring body.
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Technical support document, technical update of the social cost of carbon for regulatory impact analysis--under executive order 12886
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DSK-model). These models typically do not assume rational and representative agents, nor market equilibrium in the long term.
2302: 1946: 467: 442: 417: 392: 259: 1149:"A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS" 800:
Riahi, Keywan; van Vuuren, Detlef P.; Kriegler, Elmar; Edmonds, Jae; O’Neill, Brian C.; Fujimori, Shinichiro; Bauer, Nico;
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Climate Change 2014: Mitigation of Climate Change : Working Group III Contribution to the IPCC Fifth Assessment Report
1912: 1054:"REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits" 2120: 655: 323: 806:"The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview" 947: 864: 298: 1810:"Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models" 857:
Integrated assessment of global environmental change with IMAGE 3.0 : model description and policy applications
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This type of modelling is carried out to find the total cost of climate impacts, which are generally considered a
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Hickel, J; Kallis, G; et al. (2021). "Urgent need for post-growth climate mitigation scenarios".
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Bosetti, Valentina; Carraro, Carlo; Galeotti, Marzio; Massetti, Emanuele; Tavoni, Massimo (2006).
964:"GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems" 2271: 930:
Fujimori, Shinichiro; Masui, Toshihiko; Matsuoka, Yuzuru (2017), "AIM/CGE V2.0 Model Formula",
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Mercure, Jean-Francois; Pollit, Hector; Neil, Edward; Holden, Philip; Unnada, Unnada (2018).
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Rothman, Dale; Irfan, Mohammod; Margolese-Malin, Eli; Hughes, Barry; Moyer, Jonathan (2014).
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A time for action on climate change and a time for change in economics — Working paper 370
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Nordhaus, William (1992). "An optimal transition path for controlling greenhouse gases".
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Hughes, Barry; Kuhn, Randall; Peterson, Cecilia; Rothman, Dale; Solorzano, Jose (2011).
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Gambhir, Ajay; Butnar, Isabela; Li, Pei-Hao; Smith, Pete; Strachan, Neil (2019-05-08).
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These models are integrated because they span multiple academic disciplines, including
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Five Times Faster: Rethinking the Science, Economics, and Diplomacy of Climate Change
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Moyer, Jonathan; Bohl, David; Hanna, Taylor; Mayaki, Ibrahim; Bwalya, Martin (2019).
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Hughes, Barry; Joshi, Devin; Moyer, Jonathan; Sisk, Timothy; Solorzano, Jose (2014).
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Hafner, Sarah; Anger-Kraavi, Annela; Monasterolo, Irene; Jones, Aled (2020-11-01).
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Pauliuk, Stefan; Arvesen, Anders; Stadler, Konstantin; Hertwich, Edgar G. (2017).
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Cost-benefit integrated assessment models are the main tools for calculating the
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Ricke, Katharine; Drouet, Laurent; Caldeira, Ken; Tavoni, Massimo (2019-03-25).
645: 2202: 1981: 1834: 1809: 1450: 753: 511: 184: 151: 116:. Notable modelling frameworks include IMAGE, MESSAGEix, AIM/GCE, GCAM, REMIND- 63: 1792: 1775: 1594: 1569: 1458: 1331: 1304: 1223: 776:"Explainer: How 'Shared Socioeconomic Pathways' explore future climate change" 712: 688: 290: 2286: 2181: 2171: 1888: 1853: 1644: 1603: 1537: 1340: 1281: 1231: 1177: 1125: 1087: 1078: 1029: 997: 874: 841: 761: 665: 605: 553: 369: 344:"Some Contributions of Integrated Assessment Models of Global Climate Change" 51: 988: 963: 1476: 1403: 1192: 832: 633: 79: 1676: 1659: 360: 343: 74:
Secondly, there are models that aggregate the costs of climate change and
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Lamperti, F.; Dosi, G.; Napoletano, M.; Roventini, A.; Sapio, A. (2018).
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Scientific modeling that combines society, economy and the climate system
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Scenarios towards limiting global mean temperature increase below 1.5 °C
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Non-equilibrium models include those based on econometric equations and
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Africa's path to 2063: choice in the face of great transformation
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not captured by conventional markets. In order to correct such a
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climate scenarios 2022, based on the REMIND-MAgPIE model by the
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Intergovernmental Panel on Climate Change Staff. (2015-01-26).
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Radical Uncertainty: Decision-making for an unknowable future
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Hedden, Steve; Rafa, Mickey; Moyer, Jonathan (August 2018).
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NGFS Climate Scenario Database: Technical Documentation V3.1
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Wang, Zheng; Wu, Jing; Liu, Changxin; Gu, Gaoxiang (2017).
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Intergovernmental Panel on Climate Change, issuing body.
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Integrated Assessment Models of Climate Change Economics
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Dickson, Janet; Hughes, Barry; Irfan, Mohammod (2010).
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International Futures: Building and Using Global Models
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Index

scientific modelling
economics
climate science
energy systems
land-use change
agriculture
infrastructure
health
climate change mitigation
econometrics

greenhouse gas emissions
NGFS
Potsdam Institute for Climate Impact Research
Intergovernmental Panel on Climate Change
Shared socioeconomic pathways
MAgPIE
evolutionary economics
agent-based
social cost of carbon
negative externality
market failure
carbon tax
climate policy
Sustainable Development Goals
Nicholas Stern
IPCC Fifth Assessment Report
"Chapter 6: Assessing transformation pathways"
Cambridge University Press
ISBN

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