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A wide variety of scenarios for future development have played significant roles in climate policy discussions. This paper presents projections of greenhouse gas (GHG) concentrations, sea level rise due to thermal expansion and glacial melt, oceanic acidity, and global mean temperature increases computed with the MIT Integrated Global Systems Model (IGSM) using scenarios for 21st century emissions developed by three different groups: intergovernmental (represented by the Intergovernmental Panel on Climate Change), government (represented by the U.S. government Climate Change Science Program) and industry (represented by Royal Dutch Shell plc). In all these scenarios the climate system undergoes substantial changes. By 2100, the CO2 concentration ranges from 470 to 1020 ppm compared to a 2000 level of 365 ppm, the CO2-equivalent concentration of all greenhouse gases ranges from 550 to 1780 ppm in comparison to a 2000 level of 415 ppm, sea level rises by 24 to 56 cm relative to 2000 due to thermal expansion and glacial melt, oceanic acidity changes from a current pH of around 8 to a range from 7.63 to 7.91. The global mean temperature increases by 1.8 to 7.0 degrees C relative to 2000.

Under the Kyoto Protocol, the world's wealthier countries assumed binding commitments to reduce greenhouse gas emissions. The agreement requires these countries to consider ways to minimize adverse effects on developing countries of these actions, transmitted through trade. Using a general equilibrium model of the world economy, we find that adverse effects fall mainly on energy-exporting countries, for some even greater than on countries that are assuming commitments. Removing existing fuel taxes and subsidies and using international permit trading would greatly reduce the adverse impacts and also reduce economic impacts on the countries taking on commitments. Another approach, preferential tariff reduction for developing countries, would benefit many developing countries, but would not target those most adversely affected. If instead, OECD countries directly compensated developing countries for losses, the required annual financial transfer would be on the order of $25 billion (1995 $US) in 2010.

© 2000 Elsevier Science Ltd.

Under the Kyoto Protocol, the world's wealthier countries assumed binding commitments to reduce greenhouse gas emissions. The agreement requires these countries to consider ways to minimize adverse effects on developing countries of these actions, transmitted through trade. Using a general equilibrium model of the world economy, we find that adverse effects fall mainly on energy-exporting countries, for some even greater than on countries that are assuming commitments. Removing existing fuel taxes and subsidies and using international permit trading would greatly reduce the adverse impacts and also reduce economic impacts on the countries taking on commitments. Another approach, preferential tariff reduction for developing countries, would benefit many developing countries, but would not target those most adversely affected. If instead, OECD countries directly compensated developing countries for losses, the required annual financial transfer would be on the order of $25 billion (1995 $US) in 2010.

Under the Kyoto Protocol, reductions in emissions of several radiative gases can be credited against a carbon equivalent emissions cap. We investigate the economic implications of including other greenhouse gases and sinks in the climate change control policy using our revised and updated version of the Emissions Prediction and Policy Analysis (EPPA) model. In addition we amended our methane abatement curves based on different interpretations of estimates that substantial abatement of methane can be obtained at no cost. The inclusion of other greenhouse gases and CO2 sinks reduces the costs of achieving CO2 emissions reductions specified under the agreement. © Springer Netherlands

The establishment of consensus by the IPCC is no longer as critical to governments as a full exploration of uncertainty. The emphasis on consensus in IPCC reports has put the spotlight on expected outcomes, which then become anchored via numerical estimates in the minds of policy-makers. With the general credibility of the science of climate change established, it is now equally important that policy-makers understand the more extreme possibilities that consensus may exclude or downplay.

© 2007 American Association for the Advancement of Science

The Emissions Prediction and Policy Analysis (EPPA) model is a component of an Integrated Framework of natural and social science models being developed by the MIT Global Change Joint Program. It is a detailed, global, computable general equilibrium (CGE) model with a long time horizon and regional as well as sectoral detail. The EPPA model can be used to project economic activity, energy use and greenhouse gas (GHG) emissions for each of 12 regions through the year 2100. The model can also be used to simulate different GHG mitigation policy scenarios and to analyze the impacts and consequences of these policies. Within the MIT Integrated Framework, the EPPA projections of anthropogenic GHG emissions are inputs to a coupled chemistry-climate model. It thereby forms the first link in an integrated analysis of global climate change.

The EPPA model is derived from the General Equilibrium Environmental (GREEN) model, which was developed by the Organization for Economic Cooperation and Development (OECD). The evolution of EPPA from GREEN involved adapting the model to the requirements of the Joint Program's integrated analysis. The processes of improving and extending the model are continuing. This report describes the basic structure of the EPPA model, and outlines the way that assumptions about technology and growth are used in defining alternative simulations. A brief discussion of the solution algorithm is included, as well as an introduction to the policy instruments implemented in the model. Simulation results are presented to illustrate the capabilities and behavior of the model, and anticipated future developments of the EPPA model are summarized.

The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed structure, data, and parameterization of the model for specialists in economic modeling. EPPA projects emissions of most of the climatically important substances emitted as a result of human activities including carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), nitrous oxide (N2O), nitrogen oxides (NOx), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), sulfate aerosols (SOx), non-methane volatile organic compounds (NMVOCs), black carbon, organic carbon, and ammonia (NH3). We present an updated and consistent inventory for 1995 of all of these emissions disaggregated to the regional and sectoral levels we use in EPPA. This more complete inventory of climatically important substances shows non-energy sources (e.g. agriculture, biomass burning) and developing countries to be important current sources of many of these emissions. A major use of EPPA, a computable general equilibrium model of the world economy with regional and sectoral detail, is to estimate the cost of greenhouse gas emissions control over the 100-year horizon of the model. Reference projections show rates of improvement in energy use per unit of output (Gross Domestic Product) consistent with historical rates although in EPPA we do not attempt to model short-term business cycle behavior so that our projections do not show the same variability as the historical data. Emissions of climatically important substances mostly grow over time in our reference projection (although rates differ substantially among them) despite considerable improvements in energy efficiency and reductions in emissions coefficients for other substances. Developing countries as group become larger sources of all greenhouse gas emissions than developed or transition economies by the middle of the century as their economies and populations are projected to grow more rapidly. There remain many uncertainties in projections of this type. The projections presented in this report are a starting point (i.e. reference) for evaluating alternative scenarios and climate policies.

The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model of the world economy, which is built on the GTAP dataset and additional data for the greenhouse gas and urban gas emissions. It is designed to develop projections of economic growth and anthropogenic emissions of greenhouse related gases and aerosols. The main purpose of this report is to provide documentation of a new version of EPPA, EPPA version 4. In comparison with EPPA3, it includes greater regional and sectoral detail, a wider range of advanced energy supply technologies, improved capability to represent a variety of different and more realistic climate policies, and enhanced treatment of physical stocks and flows of energy, emissions, and land use to facilitate linkage with the earth system components of the IGSM. Reconsideration of important parameters and assumptions led to some revisions in reference projections of GDP and greenhouse gas emissions. In EPPA4 the global economy grows by 12.5 times from 2000 to 2100 (2.5%/yr) compared with an increase of 10.7 times (2.4%/yr) in EPPA3. This is one of the important revisions that led to an increase in CO2 emissions to 25.7 GtC in 2100, up from 23 GtC in 2100 projected by EPPA3. There is considerable uncertainty in such projections because of uncertainty in various driving forces. To illustrate this uncertainty we consider scenarios where the global GDP grows 0.5% faster (slower) than the reference rate, and these scenarios result in CO2 emissions in 2100 of 34 (17) GtC. A sample greenhouse gas policy scenario that puts the world economy on a path toward stabilization of atmospheric CO2 at 550 ppmv is also simulated to illustrate the response of EPPA4 to a policy constraint.

The MIT Integrated Global System Model (IGSM) is designed for analyzing the global environmental changes that may result from anthropogenic causes, quantifying the uncertainties associated with the projected changes, and assessing the costs and environmental effectiveness of proposed policies to mitigate climate risk. This report documents Version 2 of the IGSM, which like the previous version, includes an economic model for analysis of greenhouse gas and aerosol precursor emissions and mitigation proposals, a coupled atmosphere-ocean-land surface model with interactive chemistry, and models of natural ecosystems. In this global framework the outputs of the combined anthropogenic and natural emissions models provide the driving forces for the coupled atmospheric chemistry and climate models. Climate model outputs then drive a terrestrial model predicting water and energy budgets, CO2, CH4, and N2O fluxes, and soil composition, which feed back to the coupled climate/chemistry model.

The first version of the integrated framework (which we will term IGSM1) is described in Prinn et al. (1999; Climatic Change, 41: 469) and in publications and Joint Program Reports and Technical Notes provided on the Program's website. Subsequently, upgrades of component model capabilities have been achieved, allowing more comprehensive and realistic studies of global change. Highlights of these improvements include: a substantially improved economics model, needed to provide emissions projections and to assess an increasingly complex policy environment; a new global terrestrial model comprised of state-of-the-art biogeophysical, ecological and natural biogeochemical flux components, which provides an improved capacity to study consequences of hydrologic and ecologic change; the addition of a three-dimensional ocean representation, replacing the previous two-dimensional model, which allows examination of the global thermohaline circulation and its associated climate change impacts; the addition of an explicit oceanic carbon cycle including the impact of the biological pump; the addition of a new urban air pollution model enabling better treatments of human health and climate impacts; and the addition of greater flexibility for study of terrestrial ecosystem and urban pollution effects. This report documents the essential features of the new IGSM structure.

In response to the threat of global warming a variety of policy measures have been proposed to reduce the emissions of carbon dioxide (CO2). However, policies which reduce CO2 emissions will also decrease the emissions of greenhouse-relevant gases methane, nitrous oxide, nitrogen oxides, carbon monoxide, and sulfur oxides. When these additional effects are overlooked the net effect of CO2 reduction policies on global warming is understated. Thus, emissions of all greenhouse-relevant gases should be included when evaluating CO2 reduction policies.

Other proposals which recognize the need to reduce emissions of all greenhouse gases have called for the reduction of a “CO2-equivalent" amount. Policymakers evaluate these policies by using a Global Warming Potential (GWP) which is an index that supposedly indicates the relative radiative power of a greenhouse gas with respect to CO2 . This method, however, is flawed, as calculation of the GWP depends critically on the lifetime of the gas as well as the radiative effect of CO2 which can change depending on the composition of the atmosphere. When analyzing the effect of gases on global warming, an atmospheric chemistry model which describes the interactions of all the gases should be used in place of the GWP. In this case, specification of future emissions of all greenhouse-relevant gases is also required. This thesis addresses these two problems by developing a model which forecasts emissions of all greenhouse-relevant gases. This emissions model uses the GREEN model as the underlying economic model and incorporates the emissions of greenhouse-relevant gases from activities in energy, agriculture, industry, and land use. The results of the model are then fed into an atmospheric chemistry model to evaluate the effect on warming.

The atmospheric chemistry model is used to compare the results of a reference case with a Toronto-type agreement. The thesis finds that including other greenhouse-relevant gases results in an additional decrease of 40% in warming as compared to when only CO2 is specified. Additional analyses are performed to illustrate the interaction between chemical species and the importance of including all greenhouse-relevant gases when evaluating global warming policies.

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