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DOI | 10.1038/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 |
ISSN | 1758678X |
EISSN | 1758-6798 |
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. |
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