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A semi-empirical representation of the temporal variation of total greenhouse gas levels expressed as equivalent levels of carbon dioxide
(MIT Joint Program on the Science and Policy of Global Change, 2009-06)
In order to examine the underlying longer-term trends in greenhouse gases, that are driven for example by anthropogenic emissions or climate change, it is useful to remove the recurring effects of natural cycles and ...
Development of a Fast and Detailed Model of Urban-Scale Chemical and Physical Processing
(MIT Joint Program on the Science and Policy of Global Change, 2009-10)
A reduced form metamodel has been produced to simulate the effects of physical, chemical, and meteorological processing of highly reactive trace species in hypothetical urban areas, which is capable of efficiently simulating ...
Potential Climatic Impacts and Reliability of Very Large-Scale Wind Farms
(MIT Joint Program on the Science and Policy of Global Change, 2009-06)
Meeting future world energy needs while addressing climate change requires large-scale deployment of low or zero greenhouse gas (GHG) emission technologies such as wind energy. The widespread availability of wind power has ...
Analysis of Climate Policy Targets under Uncertainty
(MIT Joint Program on the Science and Policy of Global Change, 2009-09)
Although policymaking in response to the climate change is essentially a challenge of risk management, most studies of the relation of emissions targets to desired climate outcomes are either deterministic or subject to a ...
Global Health and Economic Impacts of Future Ozone Pollution
(MIT Joint Program on the Science and Policy of Global Change, 2009-08)
We assess the human health and economic impacts of projected 2000-2050 changes in ozone pollution using the MIT Emissions Prediction and Policy Analysis-Health Effects (EPPA-HE) model, in combination with results from the ...
Probabilistic Forecast for 21st Century Climate Based on Uncertainties in Emissions (without Policy) and Climate Parameters
(MIT Joint Program on the Science and Policy of Global Change, 2009-01)
The MIT Integrated Global System Model is used to make probabilistic projections of climate change from 1861 to 2100. Since the model's first projections were published in 2003 substantial improvements have been made to ...