Improving the contribution of climate model information to decision making: the value and demands of robust decision frameworks

被引:246
作者
Weaver, Christopher P. [1 ]
Lempert, Robert J. [2 ]
Brown, Casey [3 ]
Hall, John A. [4 ]
Revell, David [5 ]
Sarewitz, Daniel [6 ]
机构
[1] US EPA, Off Res & Dev, Natl Ctr Environm Assessment, Washington, DC 20460 USA
[2] RAND Corp, Santa Monica, CA USA
[3] Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA
[4] US Dept Def, Strateg Environm Res & Dev Program, Environm Secur Technol Certificat Program, Alexandria, VA USA
[5] Environm Sci Associates Environm Hydrol, San Francisco, CA USA
[6] Arizona State Univ, Consortium Sci Policy & Outcomes, Tempe, AZ USA
关键词
WATER-RESOURCES; CHANGE UNCERTAINTIES; CHANGE ADAPTATION; PREDICTION; SCIENCE; MANAGEMENT; SYSTEM; POLICY; RISK; CALIFORNIA;
D O I
10.1002/wcc.202
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, we review the need for, use of, and demands on climate modeling to support so-called robust decision frameworks, in the context of improving the contribution of climate information to effective decision making. Such frameworks seek to identify policy vulnerabilities under deep uncertainty about the future and propose strategies for minimizing regret in the event of broken assumptions. We argue that currently there is a severe underutilization of climate models as tools for supporting decision making, and that this is slowing progress in developing informed adaptation and mitigation responses to climate change. This underutilization stems from two root causes, about which there is a growing body of literature: one, a widespread, but limiting, conception that the usefulness of climate models in planning begins and ends with regional-scale predictions of multidecadal climate change; two, the general failure so far to incorporate learning from the decision and social sciences into climate-related decision support in key sectors. We further argue that addressing these root causes will require expanding the conception of climate models; not simply as prediction machines within predict-then-act decision frameworks, but as scenario generators, sources of insight into complex system behavior, and aids to critical thinking within robust decision frameworks. Such a shift, however, would have implications for how users perceive and use information from climate models and, ultimately, the types of information they will demand from these modelsand thus for the types of simulations and numerical experiments that will have the most value for informing decision making. WIREs Clim Change 2013, 4:3960. doi: 10.1002/wcc.202 For further resources related to this article, please visit the WIREs website. This article is a U.S. Government work, and as such, is in the public domain in the United States of America.
引用
收藏
页码:39 / 60
页数:22
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