Climate change presents decisionmakers with a fundamental quandary: how to address a potentially serious, long-term, and uncertain threat. A joint project of RAND Infrastructure, Safety, and Environment and the RAND Pardee Center sought to address this problem through basic research and computer modeling.
Journal Article
Probability-based estimates can have serious limitations when applied to a problem such as climate change. The Intergovernmental Panel on Climate Change should also consider approaches to decision-making under conditions of uncertainty that do not depend on expert consensus on probabilities.
Commentary
In case after case, the theory that best fits the data is the one that also leads inexorably to the conclusion that human influence is one of the most important forces currently changing the climate, writes Robert J. Lempert.
Journal Article
This study compares two widely used approaches for robustness analysis of decision problems: the info-gap method originally developed by Ben-Haim and the robust decision making (RDM) approach originally developed by Lempert, Popper, and Bankes.
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This paper summarizes the additional uncertainty that is created by climate change, and reviews the tools that are available to project climate change (including downscaling techniques) and to assess and quantify the corresponding uncertainty.
Journal Article
Any successful response to climate change--both the challenges of limiting the magnitude of future climate change and adapting to its impacts--will clearly involve policies that evolve over time in response to new information and that are robust over a wide range of difficult-to-predict future conditions.
Commentary
If it were really possible to explain millions of years of Earth data with a theory that doesn't also imply a recent human influence on the climate, some ambitious, self-interested team of scientists somewhere in the world would seek scientific renown by doing so, writes Robert Lempert.
Journal Article
The authors present the concept of robust decision making (RDM), which draws on already-existing knowledge of practitioners to choose actions that are viable in both the short- and long-term.
Journal Article
This article provides a concise overview of methods for analyzing policy choices that have been used in the study of long-term environmental challenges.
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Water managers in Southern California, who grapple with how to address climate change in their near-term and long-term plans, are beginning to seek methods for incorporating such changes in their planning processes.
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This study uses a simple computer simulation model to compare several alternative frameworks for decision making under uncertainty—optimal expected utility, the precautionary principle, and three different approaches to robust decision making—for addressing the challenge of adding pollution to a lake without triggering unwanted and potentially irreversible eutrophication.
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Integrated assessment modeling of global climate change has focused primarily on gradually occurring changes in the climate system. However, atmospheric and earth scientists have become increasingly concerned that the climate system may be subject to abrupt, discontinuous changes on short time scales, and that anthropogenic greenhouse-gas emissions could trigger such shifts.
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This study performs a standard econometric analysis on the simulation model outputs from six scenarios from the Special Report on Emissions Scenarios (SRES) to assess the extent to which the projected CO 2 and NO x emissions reflect Environmental Kuznets Curve (EKC) behavior.
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In this paper, we use the optimal estimation technique with a formal characterization of the errors to retrieve NO2 concentration profiles from slant column observations made at Eureka during March and April 1999.
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In this chapter the authors argue for a different approach to climate-change policy and thus a different use for forecasts.
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Computer-Assisted Reasoning, an approach to decision-making under conditions of uncertainty suited to applying complex systems to policy analysis.
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The retrieval of accurate vertical column amounts of stratospheric constituents from zenith-sky spectroscopy is dependent on accurately modeling the transfer of radiation through the atmosphere and calculating suitable air mass factors (AMFs).
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Recommendation for use of ensembles of multiple scenarios to capture what is known about the long-term climate future.
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Many governments use technology incentives as an important component of their greenhouse gas abatement strategies.
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Upper air densities obtained by means of rockets and satellites in the region from 100 to about 800 km are presented.
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Movement of geomagneticall trapped radiation toward lower latitudes on the night side of the earth.