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About the Workshop: The global energy system faces sweeping changes in the next few decades, with potentially critical implications for the global economy and the global environment. It is important that global institutions have the tools necessary to predict, analyze and plan for such massive change. This report summarizes the proceedings of an international workshop concerning methods of forecasting, analyzing, and planning for global energy transitions and their economic and environmental consequences. A specific case, it focused on the transition from conventional to unconventional oil and other energy sources likely to result from a peak in non-OPEC and/or global production of conventional oil. Leading energy models from around the world in government, academia and the private sector met, reviewed the state-of-the-art of global energy modeling and evaluated its ability to analyze and predict large-scale energy transitions.

The possible correlation between climate sensitivity and radiative forcing is studied using versions of the NCAR Community Atmospheric Model (CAM) model with different climate sensitivities. No such correlation was found for the CO2 forcing. A weak correlation for the direct sulfate aerosol forcing is associated with differences in cloud cover in control climate simulations with different versions of the model. Presented results suggest that correlation between sensitivity and radiative forcing in the 20th century simulations with different AOGCMs is not a reflection of physical reality but is a result of different treatments of forcing agents, primarily aerosols.

Recent studies on the Amazon deforestation problem predict that removal of the forest will result in a higher surface temperature, a significant reduction in evaporation and precipitation, and possibly significant changes in the tropical circulation. Here, we discuss the basic mechanisms contributing to the response of the tropical atmosphere to deforestation. A simple linear model of the tropical atmosphere is used in studying the effects of deforestation on climate. It is suggested that the impact of large-scale deforestation on the circulation of the tropical atmosphere consists of two components: the response of the tropical circulation to the negative change in precipitation (heating), and the response of the same circulation to the positive change in surface temperature. Owing to their different signs, the changes in predicted temperature and precipitation excite competing responses working in opposite directions.

The predicted change in tropical circulation determines the change, if any, in atmospheric moisture convergence, which is equivalent to the change in run-off. The dependence of run-off predictions on the relative magnitudes of the predicted changes in precipitation and surface temperature implies that the predictions about run-off are highly sensitive, which explains, at least partly, the disagreement between the different models concerning the sign of the predicted change in Amazonian run-off.

© 1993 Royal Meteorological Society

The four chloromethanes - methyl chloride (CH3Cl), dichloromethane (CH2Cl2), chloroform (CHCl3), and carbon tetrachloride (CCl4) are chlorine-containing gases contributing significantly to stratospheric ozone depletion and/or having adverse health effects. Large uncertainties in estimates of their source and sink magnitudes and temporal and spatial variations currently exist. GEIA inventories and other bottom-up emission results are used to construct a priori maps of surface fluxes of these species. The Model of Atmospheric Transport and CHemistry (MATCH), driven by NCEP interannually varying meteorological fields, is then used to simulate the trace gas mole fractions using the a priori emissions and to quantify the time series for sensitivities of tracer concentrations to different aseasonal, seasonal, and regional sources and sinks. We then implement the Kalman filter (with the unit pulse response method) to estimate time-varying surface fluxes at a monthly resolution for the three short-lived species between 2000-2004, and at a 3-month resolution for CCl4 between 1996-2004. The high frequency observations from AGAGE, SOGE, NIES and NOAA/GMD/ESRL HATS CATS and other low frequency flask observations from NOAA/GMD/ESRL HATS are used to constrain the source and sink magnitudes estimated as multiplying factors for the a priori emissions and contained in the state vector in the Kalman filter. The CH3Cl inversion results indicate large CH3Cl emissions of ~ 2278 Gg/yr from the tropical plants. Relative to their a priori magnitudes, the inversion nearly doubles global fungal emissions, slightly increases emissions from biomass burning and salt marshes, and reduces the global ocean source and soil sink. The inversion also implies greater seasonal oscillations of the natural sources and sink of CH3Cl compared to the a priori. These results and those for the CH2Cl2, CHCl3 and CCl4 inversions will be presented and discussed.

The four chloromethanes - methyl chloride (CH3Cl), dichloromethane (CH2Cl2), chloroform (CHCl3), and carbon tetrachloride (CCl4), are chlorine-containing gases contributing significantly to stratospheric ozone depletion and having adverse health effects. Large uncertainties in estimates of their source and sink magnitudes and temporal and spatial variations currently exist. GEIA inventories and other bottom-up emission estimates are used to construct a priori maps of surface fluxes of these species. The Model of Atmospheric Transport and CHemistry (MATCH), driven by NCEP interannually varying meteorological fields, is then used to simulate the trace gas mole fractions using the a priori emissions and to quantify the time series of sensitivities of tracer concentrations to different aseasonal, seasonal, and regional sources and sinks.

We implement the Kalman filter (with the unit pulse response method) to estimate both constant (if applicable) and time-varying surface fluxes on regional/global scales at a monthly resolution for the three short-lived species between 2000-2004, and the continental industrial emissions and global oceanic sink for CCl4 at a 3-month resolution between 1996-2004. The high frequency observations from AGAGE, SOGE, NIES and NOAA/GMD HATS and other low frequency flask observations are used to constrain the source and sink magnitudes estimated as multiplying factors for the a priori fluxes and contained in the state vector in the Kalman filter. The CH3Cl inversion results indicate large CH3Cl emissions of 2240 ± 370 Gg yr-1 from tropical plants. The inversion implies greater seasonal oscillations of the natural sources and sink of CH3Cl compared to the a priori. Seasonal cycles have been derived for both the oceanic (for CHCl3 and CH2Cl2) and terrestrial (for CHCl3) sources, with summer maxima and winter minima emissions. Our inversion results show significant industrial sources of CH2Cl2 and CCl4 from the Southeast Asian region. Our inversions also exhibit the strong effects of the 2002/2003 globally wide-spread heat and drought conditions on the emissions of CH3Cl from tropical plants and global salt marshes, on the soil fluxes of CH3Cl and CHCl3, on the biomass burning sources of CH3Cl and CH2Cl2, and on the derived oceanic flux of CHCl3.
 

This paper provides an initial analysis of the European Union Emissions Trading Scheme (EU ETS) based on the installation-level data for verified emissions and allowance allocations in the first trading year. Those data, released on May 15, 2006, and subsequent updates revealed that CO2 emissions were about 4% lower than the allocated allowances. The main objective of the paper is to shed light on the extent to which over-allocation and abatement have taken place in 2005. We propose a measure by which over-allocation can be judged and provide estimates of abatement based on emissions data and indicators of economic activity as well as trends in energy and carbon intensity. Finally, we discuss the insights and implications that emerge from this tentative assessment.

This paper provides an initial analysis of the EU Emissions Trading Scheme (ETS) based on the installation-level data for verified emissions and allowance allocations in the first 2 years of the first trading period. These data reveal that CO2 emissions were about 3% lower than the allocated allowances. The main objective of the paper is to shed light on the extent to which over-allocation and abatement have taken place in 2005 and 2006, when a significant CO2 price was observed. We propose a measure by which over-allocation can be judged and provide estimates of abatement based on emissions data and indicators of economic activity as well as trends in energy and carbon intensity. Finally, we discuss the insights and implications that emerge from this tentative assessment.

© 2008 Springer

The Energy Modeling Forum 22 study included a set of U.S. transition scenarios designed to bracket a range of potential U.S. climate policy goals. Models from the six teams that participated in this part of the study include models that have been prominently involved in analyzing proposed U.S. climate legislation, as well as models that have been involved in the Climate Change Science Program and other parts of this EMF 22 study. This paper presents an overview of the results from the U.S. transition scenarios, and provides insights into the comparison of results from the participating models.

© 2009 Elsevier

The effects of air pollution on vegetation may provide an important control on the carbon cycle that has not yet been widely considered. Prolonged exposure to high levels of ozone, in particular, has been observed to inhibit photosynthesis by direct cellular damage within the leaves and through changes in stomatal conductance. We have incorporated empirical equations derived for trees (hardwoods and pines) and crops into the Terrestrial Ecosystem Model version 4.3 (TEM 4.3) to explore the effects of ozone on net primary production and carbon sequestration across the conterminous United States. Our results show up to a 5% reduction in Net Primary Production (NPP) in response to modeled historical ozone levels during the late 1980s to early 1990s. The largest decreases (over 20% in some locations) occur in the eastern U.S. and Midwest, during months with high ozone levels and high productivity. Carbon sequestration during the 1980s is reduced by 30 to 70 Tg C/yr with the presence of ozone, or 5 to 23% of recent estimates of the total carbon sequestration for the U.S. Thus the effects of ozone on NPP and carbon sequestration should be factored into future calculations of the U.S. carbon budget.

Nonlinear regression is a useful statistical tool, relating observed data and a nonlinear function of unknown parameters. When the parameterdependent nonlinear function is computationally intensive, a straightforward regression analysis by maximum likelihood is not feasible. The method presented in this paper proposes to construct a faster running surrogate for such a computationally intensive nonlinear function, and to use it in a related nonlinear statistical model that accounts for the uncertainty associated with this surrogate. A pivotal quantity in the Earth’s climate system is the climate sensitivity: the change in global temperature due to doubling of atmospheric CO2 concentrations. This, along with other climate parameters, are estimated by applying the statistical method developed in this paper, where the computationally intensive nonlinear function is the MIT 2D climate model.

© Institute of Mathematical Statistics, 2008

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