DOI: 10.1002/wcc.454
Scopus记录号: 2-s2.0-85018214663
论文题名: Building confidence in climate model projections: an analysis of inferences from fit
作者: Baumberger C ; , Knutti R ; , Hirsch Hadorn G
刊名: Wiley Interdisciplinary Reviews: Climate Change
ISSN: 17577780
出版年: 2017
卷: 8, 期: 3 语种: 英语
英文关键词: Technology
; Back-ground knowledge
; Climate projection
; Climate research
; Conceptual frameworks
; Long term climate projections
; Model communities
; Philosophy of science
; Policy decisions
; Climate models
; climate modeling
; climate prediction
; conceptual framework
; empirical analysis
; observational method
英文摘要: Climate model projections are used to inform policy decisions and constitute a major focus of climate research. Confidence in climate projections relies on the adequacy of climate models for those projections. The question of how to argue for the adequacy of models for climate projections has not gotten sufficient attention in the climate modeling community. The most common way to evaluate a climate model is to assess in a quantitative way degrees of ‘model fit’; that is, how well model results fit observation-based data (empirical accuracy) and agree with other models or model versions (robustness). However, such assessments are largely silent about what those degrees of fit imply for a model's adequacy for projecting future climate. We provide a conceptual framework for discussing the evaluation of the adequacy of models for climate projections. Drawing on literature from philosophy of science and climate science, we discuss the potential and limits of inferences from model fit. We suggest that support of a model by background knowledge is an additional consideration that can be appealed to in arguments for a model's adequacy for long-term projections, and that this should explicitly be spelled out. Empirical accuracy, robustness and support by background knowledge neither individually nor collectively constitute sufficient conditions in a strict sense for a model's adequacy for long-term projections. However, they provide reasons that can be strengthened by additional information and thus contribute to a complex non-deductive argument for the adequacy of a climate model or a family of models for long-term climate projections. WIREs Clim Change 2017, 8:e454. doi: 10.1002/wcc.454. For further resources related to this article, please visit the WIREs website. © 2017 The Authors. WIREs Climate Change published by Wiley Periodicals, Inc. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76175
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Recommended Citation:
Baumberger C,, Knutti R,, Hirsch Hadorn G. Building confidence in climate model projections: an analysis of inferences from fit[J]. Wiley Interdisciplinary Reviews: Climate Change,2017-01-01,8(3)