JP

We analyze the distributional and efficiency impacts of different allowance allocation schemes for a national cap and trade system using the USREP model, a new recursive dynamic computable general equilibrium model of the U.S. economy. The USREP model tracks nine different income groups and twelve different geographic regions within the United States. Recently proposed legislation include the Waxman-Markey House bill, the similar Kerry-Boxer bill in the Senate that has been replaced by a Kerry-Lieberman draft bill, and the Cantwell-Collins Senate bill that takes a different approach to revenue allocation. We consider allocation schemes motivated by these recent proposals applied to a comprehensive national cap and trade system that limits cumulative greenhouse gas emissions over the control period to 203 billion metric tons. The policy target approximates national goals identified in pending legislation. We find that the allocation schemes in all proposals are progressive over the lower half of the income distribution and proportional in the upper half of the income distribution. Scenarios based on the Cantwell-Collins allocation proposal are less progressive in early years and have lower welfare costs due to smaller redistribution to low income households and consequently lower income-induced increases in energy demand and less savings and investment. Scenarios based on the three other allocation schemes tend to overcompensate some adversely affected income groups and regions in early years but this dissipates over time as the allowance allocation effect becomes weaker. Finally we find that carbon pricing by itself (ignoring the return of carbon revenues through allowance allocations) is proportional to modestly progressive. This striking result follows from the dominance of the sources over uses side impacts of the policy and stands in sharp contrast to previous work that has focused only on the uses side. The main reason is that lower income households derive a large fraction of income from government transfers and, reflecting the reality that these are generally indexed to inflation, we hold the transfers constant in real terms. As a result this source of income is unaffected by carbon pricing, while wage and capital income is affected.

We analyze the distributional and efficiency impacts of different allowance allocation schemes motivated by recently proposed U.S. climate legislation for a national cap and trade system using a new dynamic computable general equilibrium model of the U.S. economy. The USREP model tracks nine different income groups and twelve different geographic regions within the U.S. We find that the allocation schemes in all proposals are progressive over the lower half of the income distribution and proportional in the upper half of the income distribution. Scenarios based on the Cantwell-Collins allocation proposal are less progressive in early years and have lower welfare costs due to smaller redistribution to low income households and, consequently, lower incomeinduced increases in energy demand and less savings and investment. Scenarios based on the three other allocation schemes tend to overcompensate some adversely affected income groups and regions in early years, but this dissipates over time as the allowance allocation effect becomes weaker. Finally, we find that carbon pricing by itself (ignoring the return of carbon revenues through allowance allocations) is proportional to modestly progressive. This striking result follows from the dominance of the sources over uses side impacts of the policy and stands in sharp contrast to previous work that has focused only on the uses side. The main reason is that lower income households derive a large fraction of income from government transfers, and we hold the transfers constant in real terms, reflecting the fact that transfers are generally indexed to inflation. As a result, this source of income is unaffected by carbon pricing while wage and capital income is affected.

© 2010 The Berkeley Electronic Press

After completing a 9?month field experiment studying air pollution and meteorology in the Kathmandu Valley, Nepal, we set up the mesoscale meteorological model MM5 to simulate the Kathmandu Valley's meteorology with a horizontal resolution of up to 1 km. After testing the model against available data, we used it to address specific questions to understand the factors that control the observed diurnal cycle of air pollution in this urban basin in the Himalayas. We studied the dynamics of the basin's nocturnal cold air pool, its dissipation in the morning, and the subsequent growth and decay of the mixed layer over the valley. During mornings, we found behavior common to large basins, with upslope flows and basin?center subsidence removing the nocturnal cold air pool. During afternoons the circulation in the Kathmandu Valley exhibited patterns common to plateaus, with cooler denser air originating over lower regions west of Kathmandu arriving through mountain passes and spreading across the basin floor, thereby reducing the mixed layer depth. We also examined the pathways of pollutant ventilation out of the valley. The bulk of the pollution ventilation takes place during the afternoon, when strong westerly winds blow in through the western passes of the valley, and the pollutants are rapidly carried out through passes on the east and south sides of the valley. In the evening, pollutants first accumulate near the surface, but then are lifted slightly when katabatic flows converge underneath. The elevated polluted layers are mixed back down in the morning, contributing to the morning pollution peak. Later in the morning a fraction of the valley's pollutants travels up the slopes of the valley rim mountains before the westerly winds begin.

Imagine standing at the center of a Roman coliseum that is 20 miles across, with walls that soar 10 miles into the sky, towering walls with cascades of ice crystals falling along its brilliantly white surface. That's what it's like to stand in the eye of a hurricane. In this book, Kerry Emanuel, one of the world's leading authorities on hurricanes, gives us an engaging account of these awe-inspiring meteorological events, revealing how hurricanes and typhoons have literally altered human history, thwarting military incursions and changing the course of explorations. Offering an account of the physics of the tropical atmosphere, the author explains how such benign climates give rise to the most powerful storms in the world and tells what modern science has learned about them. Interwoven with this scientific account are descriptions of some of the most important hurricanes in history and relevant works of art and literature. For instance, he describes the 17th-century hurricane that likely inspired Shakespeare's The Tempest and that led to the British colonization of Bermuda. We also read about the Galveston Hurricane of 1900, by far the worst natural calamity in U.S. history, with a death toll between 8,000 and 12,000 that exceeded the San Francisco earthquake, the Johnstown Flood, and the Okeechobee Hurricane combined. Boasting more than one hundred color illustrations, from ultra-modern Doppler imagery to classic paintings by Winslow Homer, Divine Wind captures the profound effects that hurricanes have had on humanity.

© 2005 Oxford University Press

The workshop focused on the use of National Household Travel Survey (NHTS) data to inform transportation decision making on key issues such as energy use, congestion, highway finance, and safety. The presentation by Dr. Valerie Karplus was in the session on "Understanding Alternative Fuel Vehicle Demand", which examined the nation's current and future demand for alternative fuel vehicles through the NHTS data lens. Given the growing importance of low-emissions vehicle analyses in planning and policymaking, the capability of an expanding set of data users both in the private and public sector to use NHTS data for such studies becomes increasingly important.

Conference Program

Simulation of both the climate of the twentieth century and a future climate change requires taking into account numerous forcings, while climate sensitivities of general circulation models are defined as the equilibrium surface warming due to a doubling of atmospheric CO2 concentration. A number of simulations with the Massachusetts Institute of Technology (MIT) climate model of intermediate complexity with different forcings have been carried out to study to what extent sensitivity to changes in CO2 concentration (SCO2) represent sensitivities to other forcings.
        The MIT model, similar to other models, shows a strong dependency of the simulated surface warming on the vertical structure of the imposed forcing. This dependency is a result of "semidirect" effects in the simulations with localized tropospheric heating. A method for estimating semidirect effects associated with different feedback mechanisms is presented. It is shown that forcing that includes these effects is a better measure of expected surface warming than a forcing that accounts for stratospheric adjustment only.
        Simulations with the versions of the MIT model with different strengths of cloud feedback show that, for the range of sensitivities produced by existing GCMs, SCO2 provides a good measure of the model sensitivity to other forcings. In the case of strong cloud feedback, sensitivity to the increase in CO2 concentration overestimates model sensitivity to both negative forcings, leading to the cooling of the surface and "black carbon"-like forcings with elevated heating. This is explained by the cloud feedback being less efficient in the case of increasing sea ice extent and snow cover or by the above-mentioned semidirect effects, which are absent in the CO2 simulations, respectively.

Simulation of both the climate of the twentieth century and a future climate change requires taking into account numerous forcings, while climate sensitivities of general circulation models are defined as the equilibrium surface warming due to a doubling of atmospheric CO2 concentration. A number of simulations with the Massachusetts Institute of Technology (MIT) climate model of intermediate complexity with different forcings have been carried out to study to what extent sensitivity to changes in CO2 concentration (SCO2) represent sensitivities to other forcings.
        The MIT model, similar to other models, shows a strong dependency of the simulated surface warming on the vertical structure of the imposed forcing. This dependency is a result of "semidirect" effects in the simulations with localized tropospheric heating. A method for estimating semidirect effects associated with different feedback mechanisms is presented. It is shown that forcing that includes these effects is a better measure of expected surface warming than a forcing that accounts for stratospheric adjustment only.
        Simulations with the versions of the MIT model with different strengths of cloud feedback show that, for the range of sensitivities produced by existing GCMs, SCO2 provides a good measure of the model sensitivity to other forcings. In the case of strong cloud feedback, sensitivity to the increase in CO2 concentration overestimates model sensitivity to both negative forcings, leading to the cooling of the surface and "black carbon"-like forcings with elevated heating. This is explained by the cloud feedback being less efficient in the case of increasing sea ice extent and snow cover or by the above-mentioned semidirect effects, which are absent in the CO2 simulations, respectively. © 2006 American Meteorological Society

The focus of this thesis is the sensitivity of the strength of the meridional overturning circulation to surface forcing and mixing on climatological time scales. An adjoint model is used to gain new insights into the spatial characteristics of the sensitivity patterns.

Adjoint models provide the sensitivity of a diagnostic, often called cost function, to all model parameters in a single integration. In contrast, traditional sensitivity analyses are performed by repeated integrations of the so-called "forward" model, perturbing slightly the value of a single parameter at each integration. The results of the adjoint model allows us to calculate global maps of sensitivity. These maps provide a geographic picture of where on the ocean heat and freshwater flux, wind stress and diapycnal mixing perturbations have the greatest impact on the meridional overturning and its heat transport.

The adjoint model provides clear identification of the physical mechanisms which can influence the meridional overturning on times scales of years to decades. Boundary and equatorial Kelvin waves and equatorially trapped Rossby waves carry information around the boundaries of the basin and across the equator in less than a decade for a basin of the size of the Atlantic. Advection of buoyancy perturbations has an important influence on the meridional overturning on the decadal time scale. Diffusion is important in determining the final equilibrated state of the meridional overturning on the centennial scale.

The role of diapycnal mixing in determining the overturning’s strength is confined to the regions near the lateral boundaries in the Northern hemisphere and to the tropical region in both hemispheres. The important role played by the tropics in setting the overturning’s strength seems to confirm the thermodynamic principles outlined by Sandström (1908), Jeffreys (1925) and Munk and Wunsch (1998): upward advection of heat is balanced by downward diffusion. The strength of the meridional is then determined by the power available to return the fluid to the surface across the ocean’s stratification. Because the ocean is most strongly stratified in the tropics, the mixing process is most efficient in that region. Along the eastern boundary in the extratropics, the importance of diapycnal mixing is confined to a shallow layer at the base of the thermocline. The large vertical temperature contrast between the western and deep western boundary currents induces efficient mixing in that region. Surface wind stress has two effects on the ocean’s stratification which concentrate the sensitivity in the eastern equatorial region. Ekman suction increases the stratification along the equator while Ekman pumping decreases it in the rest of the tropics. The equatorial easterlies lift the thermocline on the eastern side of the basin, further increasing the stratification and the efficiency of the vertical mixing process in that region. These processes are similar in the results from a coupled model. Atmospheric feedbacks do, however, allow vertical mixing in the Pacific to play a role as important as mixing in the Atlantic in determining the overturning’s strength. The large uncertainties in the global value of the diapycnal mixing in the ocean, estimated here at κv = 3·10-5 ± 2 ·10-5m2s-1, translate into an uncertainty of approximately 6 Sv in the maximum value of the meridional overturning streamfunction.

The role of surface buoyancy forcing on the overturning’s strength depends on the formulation of the surface boundary conditions. The sensitivities are confined to high latitudes and the vicinity of convection sites when the surface forcing is prescribed as restoring the sea surface salinity or temperature towards observations. When the forcing is prescribed as a flux of heat or freshwater, advection allows buoyancy perturbations in the Atlantic basin to play an important role in determining the evolution of the meridional overturning. For annual and decadal time scales, heat flux perturbations in the North Atlantic are likely to have the greatest impact on the meridional overturning. On climatological time scales, it is the uncertainty in the precipitation and evaporation fields in the tropics which have the greatest impact on the uncertainty in the streamfunction, the latter can be estimated at: ψMAX = 29 ± 4 Sv. Over the intermediate time scale of climate change, the overturning is likely to weaken at first because of warming and freshening in high latitudes. It will, however, eventually recover as positive salinity anomalies are advected northwards from the tropics.

The sensitivity of the overturning to the wind stress forcing is also dependent on the surface boundary conditions. Under restoring boundary conditions, large positive sensitivities are observed in the Antarctic Circumpolar Channel in a pattern reminiscent of the so-called Drake Passage effect. According to that hypothesis, upwelling of North Atlantic Deep Water takes place predominantly in a branch of the Deacon cell in the Drake Passage region. The importance of wind in the Drake Passage vanishes when the surface buoyancy fields are less tightly constrained, for example in the model forced by mixed boundary conditions or in the coupled model. The Agulhas Plateau, the Chilean coastline and the Indonesian throughflow play an important role in setting the overturning’s strength in the ocean model forced by mixed boundary conditions. These "gateways" act as a regulator of the salinity of the Atlantic basin. The wind stress determines the balance between the inflow of relatively salty Indian Ocean water through the Agulhas current, the inflow of fresher Benguela current water southwest of Africa and the flow of very cold and fresh water through the Drake Passage. A wind stress of perturbation of ±0.03 N m-2 over the Agulhas Plateau would have a significant impact on the meridional streamfunction’s maximum, estimated at ψMAX = 29 ± 0.5 Sv. Both Drake Passage and gateway effects disappear almost completely in the coupled version of the model, which shows the strongest positive sensitivities to wind stress in the region of equatorial Ekman upwelling.

Our study shows that, in a climatological ocean model, the choice of air-sea boundary conditions is crucial in determining the sensitivity of the meridional overturning circulation. The climatology of the forward ocean model is credible and quite similar in all scenarios. However, including interactive atmospheric transports of heat and moisture changes the manner in which the ocean model state adjusts in wind stress, heat flux and diapycnal mixing. Considering the role of both the atmosphere and the ocean when studying the climatological behavior of the MOC is, therefore, clearly important. Models which keep one of the components fixed can lead to a very different conclusions from models in which both components are represented.
 

This paper provides a penetrating analysis of the Clinton Administration's pre-Kyoto proposal for imposing national limits on greenhouse gas emissions in the context of negotiations for an international agreement. The Administration's "U.S. Draft Protocol Framework" (17 January 1997), which suggests tradable permits and joint implementation are the favored policy vehicles to achieve emissions reductions, shows neglect of important issues. It has the potential to take us for a bumpy ride (with non-negligible implementation problems and potentially excessive abatement costs) in the wrong direction (toward short-run reductions in rich country emissions from fossil fuels). The subsequent Commentary continues the metaphor to discuss: How good are the climate road maps?, What road are we on?, and Can backseat drivers (scientists) help?

Convective clouds provide an efficient mechanism for transporting aerosols to the upper troposphere. Although observational data in the upper troposphere are still limited, the few measurements available all indicate the existence of high concentrations of small particles, possibly due to the vertical transport related to deep convection. In addition, with sufficiently low temperature, high relative humidity, and relatively high concentrations of aerosol precursors; the outflow regions of convective clouds are likely areas for new aerosols to form, adding even more particles to the upper troposphere. In order to simulate convective cloud transport along with cloud processing of aerosols we have developed a 3-D cloud-resolving model with an interactive explicit aerosol module. A baseline simulation suggests good agreement in the upper troposphere between modeled and observed results including concentrations of aerosols in different size ranges, mole fractions of key chemical species, and concentrations of ice particles. A set of 34 sensitivity simulations has been carried out to investigate the sensitivity of modeled results to the treatment of various aerosol physical and chemical processes in the model. The size distribution of aerosols is proved to be an important factor in determining the aerosols' fate within the convective cloud. Nucleation mode aerosols (0< d <5.84 nm) are quickly transferred to the larger modes as they grow through coagulation and condensation of H2SO4. Accumulation mode aerosols (d >31.0 nm) are almost completely removed by nucleation and impact scavenging. However, a substantial part (up to 10% of the boundary layer concentration) of the Aitken mode aerosol population (5.84 nm< d <31.0 nm) reaches the top of the cloud and the free troposphere. The sensitivity simulations performed indicate that in order to sustain a vigorous storm cloud, the supply of CCN must be continuous over a considerably long time period of the simulation. Hence, the treatment of the growth of particles is in general more important than the initial aerosol concentration itself.

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