The launch version of the Climate Collaboratorium provides estimates of the relative costs of emission reductions generated by a response surface based on a set of runs of the Integrated Global System Model (IGSM). These runs of IGSM were published in a 2007 study undertaken as part of the U.S. Climate Change Science Program.
Overview
Model name Integrated Global System Model (IGSM)
Brief description IGSM combines a sophisticated earth system model with the Emissions Prediction and Policy Analysis (EPPA) model, a complex integrated assessment model (IAM). The date on costs used to create the response surfaces was generated by EPPA, so the remainder of this write-up focuses primarily on that model.
Model developer(s) EPPA developers include Z. Yang, Richard S. Eckaus,A. Denny Ellerman, Henry D. Jacoby, Mustafa H. Babiker, John M. Reilly, Monika Mayer, Ian Sue Wing, Robert C. Hyman, Sergey Paltsev, James McFarland, Marcus Sarofim, and Malcolm Asadoorian
Institutional affiliation of developer(s)
MIT Joint Program on the Science and Policy of Global Climate Change
Date created 1996
Date of most recent revision 2005
Model accessibility EPPA is run in the lab, with results published in papers in academic journals and reports issues by the Joint Center.
Documentation
Sergey Paltsev, John M. Reilly, Henry D. Jacoby, Richard S. Eckaus, James McFarland, Marcus Sarofim, Malcolm Asadoorian and Mustafa Babiker. 2005. The MIT Emissions Prediction and Policy Analysis(EPPA) Model: Version 4. MIT Joint Program on the Science and Policy of Global Change Report No. 125
Mustafa H. Babiker, John M. Reilly, Monika Mayer, Richard S. Eckaus, Ian Sue Wing and Robert C. Hyman. 2001. The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Revisions, Sensitivities, and Comparisons of Results. MIT Joint Program on the Science and Policy of Global Change Report No. 71.
Andrei P. Sokolov, C. Adam Schlosser, Stephanie Dutkiewicz, Sergey Paltsev, David W. Kicklighter, Henry D. Jacoby, Ronald G. Prinn, Chris E. Forest, John Reilly, Chien Wang, Benjamin Felzer, Marcus C. Sarofim, Jeff Scott, Peter H. Stone, Jerry M. Melillo and Jason Cohen. 2005. MIT Integrated Global System Model (IGSM) Version 2: Model Description and Baseline Evaluation. MIT Joint Program on the Science and Policy of Global Change Report No. 124
Key publications
Leon E. Clarke, James A. Edmonds, Henry D. Jacoby, Hugh M. Pitcher, John M. Reilly, Richard G. Richels. 2007. Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations. U.S. Climate Change Science Program
Synthesis and Assessment Product 2.1a.
Click here for "information that was collected from the modeling teams to support the development of this report."
Click here for a complete list of publications issues in connection with this report, including public review comments and meeting minutes)
Model attributes
Model type EPPA is an integrated assessment model. The earth systems model to which is it link in IGSM is a general circulation model (GCM).
Geographic scope Global
Geographic resolution 16 regions (with greater detail possible for analysis of policies in Europe)
Start date 2000
End date 2100
Time step 5 years
Data sources
Detailed information on the data sources used in EPPA can be found in Paltsev et al. 2005 and Babiker et al. 2001.
Approach for addressing risk/uncertainty The develelopers of the EPPA model address uncertainty primarily by running th emodel with differing values for key variables and assessing the results.
Key modules and linkages between them
Detailed information on the EPPA's modeuls and the linkages between them can be found in Paltsev et al. 2005 and Babiker et al. 2001.
Model structure
Variables and key assumptions
Input variables
Global atmospheric concentration of carbon dioxide (CO2) at ten-year intervals between 2000 and 2100. (e.g. 2000, 2010, 2020, etc.)
Key assumptions
- CCSP study published results of 5 emission stabilization scenarios that were generated using IGSM:
Output variables
Reduction in global gross domestic product (GDP) at the stated level of global atmospheric concentration of CO2 at ten-year intervals between 2000 and 2100. (e.g. 2000, 2010, 2020, etc.)
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