CCPortal
DOI10.1038/s41558-018-0355-y
Taking climate model evaluation to the next level
Eyring V.; Cox P.M.; Flato G.M.; Gleckler P.J.; Abramowitz G.; Caldwell P.; Collins W.D.; Gier B.K.; Hall A.D.; Hoffman F.M.; Hurtt G.C.; Jahn A.; Jones C.D.; Klein S.A.; Krasting J.P.; Kwiatkowski L.; Lorenz R.; Maloney E.; Meehl G.A.; Pendergrass A.G.; Pincus R.; Ruane A.C.; Russell J.L.; Sanderson B.M.; Santer B.D.; Sherwood S.C.; Simpson I.R.; Stouffer R.J.; Williamson M.S.
发表日期2019
ISSN1758678X
EISSN1758-6798
卷号9期号:2页码:102-110
英文摘要Earth system models are complex and represent a large number of processes, resulting in a persistent spread across climate projections for a given future scenario. Owing to different model performances against observations and the lack of independence among models, there is now evidence that giving equal weight to each available model projection is suboptimal. This Perspective discusses newly developed tools that facilitate a more rapid and comprehensive evaluation of model simulations with observations, process-based emergent constraints that are a promising way to focus evaluation on the observations most relevant to climate projections, and advanced methods for model weighting. These approaches are needed to distil the most credible information on regional climate changes, impacts, and risks for stakeholders and policy-makers. © 2019, Springer Nature Limited.
学科领域Environmental Sciences;Environmental Studies;Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000456994900012
scopus关键词climate modeling; climate prediction; model test; performance assessment; regional climate
来源期刊Nature Climate Change
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/83831
作者单位Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany; University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom; Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, Canada; Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory, Livermore, CA, United States; Climate Change Research Centre and ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; University of California, Los Angeles, CA, United States; Computational Earth Sciences Group and Climate Change Science Insti...
推荐引用方式
GB/T 7714
Eyring V.,Cox P.M.,Flato G.M.,et al. Taking climate model evaluation to the next level[J],2019,9(2):102-110.
APA Eyring V..,Cox P.M..,Flato G.M..,Gleckler P.J..,Abramowitz G..,...&Williamson M.S..(2019).Taking climate model evaluation to the next level.Nature Climate Change,9(2),102-110.
MLA Eyring V.,et al."Taking climate model evaluation to the next level".Nature Climate Change 9.2(2019):102-110.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Eyring V.]的文章
[Cox P.M.]的文章
[Flato G.M.]的文章
百度学术
百度学术中相似的文章
[Eyring V.]的文章
[Cox P.M.]的文章
[Flato G.M.]的文章
必应学术
必应学术中相似的文章
[Eyring V.]的文章
[Cox P.M.]的文章
[Flato G.M.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。