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In China, elevated levels of urban air pollution result in substantial adverse health impacts for its large and rapidly growing urban population. An expanded version of the Emissions Prediction and Policy Analysis (EPPA), EPPA Health Effects, was used to evaluate air pollution-related health impacts on the Chinese economy. The effects of particulate matter and ozone were evaluated for 1975 to 2005, based on a set of epidemiological estimates of the effects of exposure to these pollutants. The estimated marginal welfare impact to the Chinese economy of air pollution levels above background levels increased from $22 billion in 1975 to $112 billion in 2005 (1997 US$), despite improvements in overall air quality. This increase is a result of the growing urban population and rising wages that thus increased the value of lost labor and leisure. Welfare losses from air pollution-related economic damage decreased from 14% of the historical welfare level in 1975 to 5% in 2005 because the total size of the economy grew much more rapidly than the absolute air pollution damages.

In China, elevated levels of urban air pollution result in significant adverse health impacts for its large and rapidly growing urban population. An expanded version of the Emissions Prediction and Policy Analysis (EPPA), EPPA Health Effects China (EPPA-HEC), was used to evaluate air pollution-related health impacts on the Chinese economy. EPPA-HEC, a computable general equilibrium model, was expanded to endogenously estimate the economy- wide impacts of air pollution. The effects of particulate matter (PM 10), sulfur dioxide (S02) and nitrogen oxides (NOx) were evaluated for 1970 to 2000, based on a set of epidemiological estimates of the effects of exposure to these pollutants. The estimated GDP impact to the Chinese economy of pollution levels above the WHO's recommended thresholds (ambient levels) increased from $15 ($23) billion in 1970 to $50 ($79) billion in 2000 (1997 $USD), despite improvements in overall air quality. This increase was caused by the growing urban population and rising wages that thus increased the value of lost labor and leisure. The benefit Damages as a percent of GDP decreased from a peak of 16% (10%) in 1975 to 7% (4%) in 2000 because the total size of the economy grew much more rapidly than the absolute air pollution damages. Forward simulations considered a cap on pollution, a greenhouse gas policy, and the two policies combined. The ancillary benefits from air pollution control resulting from the climate policy resulted in an increase in China's GDP of $2.4 billion in 2010. A scenario that caps air pollutant emissions at 2005 levels results in a $3.9 billion benefit to China's GDP in 2010, and the implementation of both policies results in a $5.8 billion benefit to China's GDP in 2010.
(cont.) The simulations extended to 2025, and the beneficial effects of these policies increased over the period to $17.1 billion, $37.4 billion and $43.8 billion respectively. Taking both the future and the historical analyses together, it is clear that the size of the urban population, as well as the increasing value of time due to rising wages are two of the major drivers of the increasing absolute costs of pollution-related health impacts to the Chinese economy. Thus, urbanization and rising incomes and wage rates over time imply a rising marginal benefit to pollution control.

The crude slate is likely to become heavier in the future with greater reliance on bitumens, tar sands, heavy oils, and eventually possibly shale oil. Under standard refining processes these crude oil sources produce a larger fraction of heavy products. At the same time, petroleum product demand growth is likely to disproportionately favor mid-weight products because of the strongly growing demand for transportation fuels including diesel, jet fuel, and gasoline. This will create a significant demand for new upgrading capacity in the refinery sector, and these upgrading facilities are themselves a significant source of carbon emissions. Using a version of the MIT Emissions Prediction and Policy Analysis (EPPA) model that separately considers five petroleum products we examine the need for, and the location of, refinery upgrading capacity under significant carbon policy in developed countries but not in developing countries. The results show that a carbon policy leads to a shift of most of the investment in upgrading capacity to developing countries, where the cost of carbon control is avoided, resulting in significant carbon leakage.

Bringing together many of the world's leading experts, this volume is a comprehensive, state-of-the-art review of climate change science, impacts, mitigation, adaptation, and policy. It provides an integrated assessment of research on the key topics that underlie current controversial policy questions. The first part of the book addresses recent topics and findings related to the physical-biological earth system. The next part of the book surveys estimates of the impacts of climate change for different sectors and regions. The third part examines current topics related to mitigation of greenhouse gases and explores the potential roles of various technological options. The last part focuses on policy design under uncertainty. Dealing with the scientific, economic and policy questions at the forefront of the climate change issue, this book will be invaluable for graduate students, researchers and policymakers interested in all aspects of climate change and the issues that surround it.

Copyright Cambridge University Press 2007

We present a pedagogical paper on the detection of climate change and its attribution to anthropogenic influences. We attempt to separate the key thought processes and tools that are used when making qualitative statements about the level of human influence on climate.

Changes in tropical cyclone activity are among the more potentially consequential results of global climate change, and it is therefore of considerable interest to understand how anthropogenic climate change may affect such storms. Global climate models are currently used to estimate future climate change, but the current generation of models lacks the horizontal resolution necessary to resolve the intense inner core of tropical cyclones. Here we review a new technique for inferring tropical cyclone climatology from the output of global models, extend it to predict genesis climatologies (rather than relying on historical climatology), and apply it to current and future climate states simulated by a suite of global models developed in support of the most recent Intergovernmental Panel on Climate Change report. This new technique attacks the horizontal resolution problem by using a specialized, coupled ocean-atmosphere hurricane model phrased in angular momentum coordinates, which provide a high resolution of the core at low cost. This model is run along each of 2,000 storm tracks generated using an advection-and-beta model, which is, in turn, driven by large-scale winds derived from the global models. In an extension to this method, tracks are initiated by randomly seeding large areas of the tropics with weak vortices and then allowing the intensity model to determine their survival, based on large-scale environmental conditions. We show that this method is largely successful in reproducing the observed seasonal cycle and interannual variability of tropical cyclones in the present climate, and that it is more modestly successful in simulating their spatial distribution. When applied to simulations of global climate with double the present concentration of carbon dioxide, this method predicts substantial changes and geographic shifts in tropical cyclone activity, but with much variation among the global climate models used. Basinwide power dissipation and storm intensity generally increase with global warming, but the results vary from model to model and from basin to basin. Storm frequency decreases in the Southern Hemisphere and north Indian Ocean, increases in the western North Pacific, and is indeterminate elsewhere. We demonstrate that in these simulations, the change in tropical cyclone activity is greatly influenced by the increasing difference between the moist entropy of the boundary layer and that of the middle troposphere as the climate warms.

© 2008 American Meteorological Society

The possible trends for atmospheric carbon monoxide in the next 100 yr have been illustrated using a coupled atmospheric chemistry and climate model driven by emissions predicted by a global economic development model. Various model runs with different assumptions regarding emissions or model parameters have been carried out to investigate the impacts of model and emission uncertainties on the predictions. We have found complicated interactions among emissions, atmospheric chemistry, and climate regarding the distributions and evolution of CO in the atmosphere. Based on the predicted emissions of methane and carbon monoxide, the model predicts an increasing trend of carbon monoxide in the next century with a tropospheric mole fraction of CO in 2100 double its present-day value. Methane emissions are found to have the most important effect on the future atmospheric CO budget. High methane emissions cause significant depletion of tropospheric OH, increase of CO concentrations, and lengthening of lifetimes of many chemical species including CO and CH4. The global average atmospheric lifetime of CO is predicted in our reference model run to be about 0.6 month longer than its present value (~2 months). The predicted emissions of CO increase only slightly over the next century, so the impact of CO emissions on the predicted CO abundance appears to be less important than that of methane. Consequently, maintaining the emissions of CH4 at their current levels can prevent significant future changes in tropospheric chemistry, while similar controlling emissions of CO cannot achieve the same result. This study also indicates that climate variations, especially those causing changes in H2O concentrations, can influence atmospheric trends of carbon monoxide. A two-way interaction between chemistry and climate regarding CO is evident. Specifically, the budget of atmospheric CO affects the destruction of methane and the production of CO2, ozone, and sulfate aerosols and thus affects climate, while the resultant changes in climate modify the budget of CO-CH4 in turn through their effects on H2O and temperature.

© 1999 Elsevier Science

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