Document Information
A New Analytic Method for Finding Policy-Relevant Scenarios
Groves and Lempert describe an application of their new analytic method to the challenge of water resource management in California. Scenarios play a prominent role in policy debates over climate change, but questions continue about how best to use them. The authors describe a new analytic method, based on robust decisionmaking, for suggesting narrative scenarios that emerge naturally from a decision analytic framework. The authors identify key scenarios, those most important to the choices facing decisionmakers, and find such cases with statistical analysis of datasets created by multiple runs of computer simulation models. The resulting scenarios can communicate quantitative judgments about uncertainty. These scenarios support a well-defined decision process without the drawbacks of currently available approaches. The paper closes with observations about the strengths and weaknesses of this new approach and how it might be applied more broadly to climate change policy questions.
Reprinted with permission from Global Environmental Change, Vol. 17, No 1, 2007, pp 78-85. Copyright © 2006 by Elsevier Ltd.
Free, downloadable PDF file(s) are available below.
RAND makes an electronic version of this document available for free as a public service.
Use Adobe Acrobat Reader version 7.0 or higher for the best experience.
Originally published in: Global Environmental Change: Human and and Policy Dimensions, Vol. 17, No. 1, pp. 78-85, February 2007.
This product is part of the RAND Corporation reprint series. RAND reprints present previously published journal articles, book chapters, and reports with the permission of the publisher. RAND reprints have been formally reviewed in accordance with the publisher's editorial policy, and are compliant with RAND's rigorous quality assurance standards for quality and objectivity.
Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.
The RAND Corporation is a nonprofit research organization providing objective analysis and effective solutions that address the challenges facing the public and private sectors around the world. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.
* RAND research is conducted across divisions, centers, and projects; these organizational components are represented in the "Related RAND Divisions" section above.


Top