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DOI10.1038/s41558-020-0731-2
Insights from Earth system model initial-condition large ensembles and future prospects
Deser C., Lehner F., Rodgers K.B., Ault T., Delworth T.L.,
发表日期2020
ISSN1758-678X
英文摘要Internal variability in the climate system confounds assessment of human-induced climate change and imposes irreducible limits on the accuracy of climate change projections, especially at regional and decadal scales. A new collection of initial-condition large ensembles (LEs) generated with seven Earth system models under historical and future radiative forcing scenarios provides new insights into uncertainties due to internal variability versus model differences. These data enhance the assessment of climate change risks, including extreme events, and offer a powerful testbed for new methodologies aimed at separating forced signals from internal variability in the observational record. Opportunities and challenges confronting the design and dissemination of future LEs, including increased spatial resolution and model complexity alongside emerging Earth system applications, are discussed. © 2020, Springer Nature Limited.
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/128143
作者单位National Center for Atmospheric Research, Boulder
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Deser C., Lehner F., Rodgers K.B., Ault T., Delworth T.L.,. Insights from Earth system model initial-condition large ensembles and future prospects[J],2020.
APA Deser C., Lehner F., Rodgers K.B., Ault T., Delworth T.L.,.(2020).Insights from Earth system model initial-condition large ensembles and future prospects.Nature Climate Change.
MLA Deser C., Lehner F., Rodgers K.B., Ault T., Delworth T.L.,."Insights from Earth system model initial-condition large ensembles and future prospects".Nature Climate Change (2020).
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