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DOI10.1175/BAMS-D-19-0337.1
Evaluating climate models with the CLIVAR 2020 ENSO metrics package
Planton Y.Y.; Guilyardi E.; Wittenberg A.T.; Lee J.; Gleckler P.J.; Bayr T.; McGregor S.; McPhaden M.J.; Power S.; Roehrig R.; Vialard J.; Voldoire A.
发表日期2021
ISSN00030007
起始页码E193
结束页码E217
卷号102期号:2
英文摘要El Niño–Southern Oscillation (ENSO) is the dominant mode of interannual climate variability on the planet, with far-reaching global impacts. It is therefore key to evaluate ENSO simulations in state-of-the-art numerical models used to study past, present, and future climate. Recently, the Pacific Region Panel of the International Climate and Ocean: Variability, Predictability and Change (CLIVAR) Project, as a part of the World Climate Research Programme (WCRP), led a community-wide effort to evaluate the simulation of ENSO variability, teleconnections, and processes in climate models. The new CLIVAR 2020 ENSO metrics package enables model diagnosis, comparison, and evaluation to 1) highlight aspects that need improvement; 2) monitor progress across model generations; 3) help in selecting models that are well suited for particular analyses; 4) reveal links between various model biases, illuminating the impacts of those biases on ENSO and its sensitivity to climate change; and to 5) advance ENSO literacy. By interfacing with existing model evaluation tools, the ENSO metrics package enables rapid analysis of multipetabyte databases of simulations, such as those generated by the Coupled Model Intercomparison Project phases 5 (CMIP5) and 6 (CMIP6). The CMIP6 models are found to significantly outperform those from CMIP5 for 8 out of 24 ENSO-relevant metrics, with most CMIP6 models showing improved tropical Pacific seasonality and ENSO teleconnections. Only one ENSO metric is significantly degraded in CMIP6, namely, the coupling between the ocean surface and subsurface temperature anomalies, while the majority of metrics remain unchanged. © 2021 American Meteorological Society.
语种英语
scopus关键词Atmospheric pressure; Climate change; Petroleum reservoir evaluation; Climate research; Coupled Model Intercomparison Project; Interannual climate variability; Model evaluation; Model generation; Southern oscillation; State of the art; Subsurface temperature; Climate models
来源期刊Bulletin of the American Meteorological Society
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/177710
作者单位LOCEAN-IPSL, CNRS-IRD-MNHN-Sorbonne Université, Paris, France; LOCEAN-IPSL, CNRS-IRD-MNHN-Sorbonne Université, Paris, France; National Centre for Atmospheric Science—Climate, University of Reading, Reading, United Kingdom; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Lawrence Livermore National Laboratory, Livermore, CA, United States; GEOMAR Helmholtz Centre for Ocean Research, Kiel, Germany; School of Earth, Atmosphere and Environment, Monash University, Clayton, VIC, Australia; NOAA, Pacific Marine Environmental Laboratory, Seattle, WA, United States; School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia; Australian Bureau of Meteorology, Melbourne, VIC, Australia; CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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Planton Y.Y.,Guilyardi E.,Wittenberg A.T.,et al. Evaluating climate models with the CLIVAR 2020 ENSO metrics package[J],2021,102(2).
APA Planton Y.Y..,Guilyardi E..,Wittenberg A.T..,Lee J..,Gleckler P.J..,...&Voldoire A..(2021).Evaluating climate models with the CLIVAR 2020 ENSO metrics package.Bulletin of the American Meteorological Society,102(2).
MLA Planton Y.Y.,et al."Evaluating climate models with the CLIVAR 2020 ENSO metrics package".Bulletin of the American Meteorological Society 102.2(2021).
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