The United States and other nations face the challenge of developing appropriate responses to global climate change. In general, such responses include both mitigation, to reduce future risks from climate change, and adaptation, to reduce damages from the climate change that does occur. Choosing appropriate actions requires an understanding of the several complex interacting systems, including economic growth and energy systems, the physical earth system, and other economic activities that are affected by changes in climate. Uncertainties in our understanding of these systems, their interactions, and their future evolution further complicate this task.A primary set of tools for supporting climate change decision-making are integrated assessment models (IAMs), which represent the human-climate coupled system. IAMs have contributed to our understanding of many issues in climate change, such as the development of internally consistent global emissions scenarios and the exploration of economic, technological, emissions, and climate impacts of alternative mitigation strategies. However, the evolving demands on decision makers and uncertainties in our ability to project future impacts on the human-climate system raise a set of scientific challenges for integrated assessment research. A recent report for the U.S. Department of Energy Office of Science outlined several key scientific challenges for IAMs. The proposed research aims to contribute to closing identified gaps in two of these areas, the representation of technological change, and the treatment of risk and uncertainty. In addition, some methods developed in this project could also be applied in the future to a third challenge, that of improving the spatial and temporal resolution of climate impacts. Specifically, the objective of this research is to develop improved methods in three areas:
- Modeling of climate mitigation as sequential decisions under uncertainty,
- Modeling of uncertainty in technological change that represents structural uncertainty,
- Reduced-form models of complex earth system processes to improve the ability to analyze the risks of climate impacts.
|Effective start/end date
|7/1/14 → 6/30/15
- Biological and Environmental Research
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