Characterizing uncertainty in expert assessments
Ozone depletion and the West Antarctic ice sheet
Bibliographic Data
| ID | 12929521 |
|---|---|
| Authors | Jessica O’reilly (0000-0002-0281-5903, St. John's University), Keynyn Brysse (Princeton University, corresponding author), Michael Oppenheimer (0000-0002-9708-5914, Woodrow Wilson International Center for Scholars), Naomi Oreskes (0000-0001-6122-9843, University of California San Diego) |
| Year | 2011 |
| Volume | 2 |
| Issue | 5 |
| Pages | 728-743 |
| Publication date | 2011-07-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Wiley Interdisciplinary Reviews Climate Change (JOURNAL) |
| Journal identifiers | ISSN: 1757-7780 • E-ISSN: 1757-7799 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/wcc.135 |
| OpenAlex | W2114286906 |
| Language | EN |
| Citations received | 8 |
| References cited | 75 |
Large‐scale assessments have become an important vehicle for organizing, interpreting, and presenting scientific information relevant to environmental policy. At the same time, identifying and evaluating scientific uncertainty with respect to the very questions these assessments were designed to address has become more difficult, as ever more complex problems involving greater portions of the Earth system and longer timescales have emerged at the science–policy interface. In this article, we explore expert judgments about uncertainty in two recent cases: the assessment of stratospheric ozone depletion, and the assessment of the response of the West Antarctic ice sheet (WAIS) to global warming. These assessments were fairly adept at characterizing one type of uncertainty in models (parameter uncertainty), but faced much greater difficulty in dealing with structural model uncertainty, sometimes entirely avoiding grappling with it. In the absence of viable models, innovative approaches were developed in the ozone case for consolidating information about highly uncertain future outcomes, whereas little such progress has been made thus far in the case of WAIS. Both cases illustrate the problem of expert disagreement, suggesting that future assessments need to develop improved approaches to representing internal conflicts of judgment, in order to produce a more complete evaluation of uncertainty. WIREs Clim Change 2011 2 728–743 DOI: 10.1002/wcc.135 This article is categorized under: Integrated Assessment of Climate Change > Integrated Assessment by Expert Panels
Antarctic ice sheet · Business · Cartography · Climate change · Climatology · Cryosphere · Environmental resource management · Expert elicitation · Geography · Ice sheet · Meteorology · Operations research · Order (exchange · Ozone · Ozone Depletion · Scale (ratio · Sea ice · Atmospheric and Environmental Gas Dynamics · Climate Change Communication and Perception · Computer Science · Engineering · Environmental Science · Risk Perception and Management · Geology
Risk Society
Acceptable Evidence
Designs on Nature
Protecting the Ozone Layer
The Rejection of Continental Drift
Stratospheric sink for chlorofluoromethanes
Defining Uncertainty
Global and regional drivers of accelerating CO 2 emissions
Global sea level linked to global temperature
Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences
A Semi-Empirical Approach to Projecting Future Sea-Level Rise
How Experiments End
Large losses of total ozone in Antarctica reveal seasonal ClOx/NOx interaction
Quantification of modelling uncertainties in a large ensemble of climate change simulations
The Social Amplification of Risk
Uncertainty
The Perception of Risk
Risk Communication
Risk and Rationality
Risk and Culture
How science makes environmental controversies worse
Assessing model-based and conflict-based uncertainty
A pro-active stratospheric ozone protection scenario
The rapid disintegration of projections
Whole World on Fire
Purity and Danger
Risk society
Theory-Driven Reasoning About Plausible Pasts and Probable Futures in World Politics
Design Paradigms
| Unique citing works | 8 |
|---|---|
| Citations per year | 0,57 |
| Citation span | 2012 - 2024 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |