globalchange  > 科学计划与规划
DOI: 10.1002/2016GL069803
论文题名:
The impact of SST biases on projections of anthropogenic climate change: A greater role for atmosphere-only models?
作者: He J.; Soden B.J.
刊名: Geophysical Research Letters
ISSN: 0094-8863
EISSN: 1944-8594
出版年: 2016
卷: 43, 期:14
起始页码: 7745
结束页码: 7750
语种: 英语
英文关键词: AGCM ; climate projection ; SST bias
Scopus关键词: Atmospheric temperature ; Climate models ; Climatology ; Earth atmosphere ; Electric power system interconnection ; Oceanography ; Surface waters ; AGCM ; Anthropogenic climate changes ; Atmospheric general circulation models ; Climate change projections ; Climate projection ; Regional climate changes ; Sea surface temperature (SST) ; SST bias ; Climate change
英文摘要: There is large uncertainty in the model simulation of regional climate change from anthropogenic forcing. Recent studies have tried to link such uncertainty to intermodel differences in the pattern of sea surface temperature (SST) change. On the other hand, coupled climate models also contain systematic biases in their climatology, largely due to drift in SSTs. To the extent that the projected changes depend on the mean state, biases in the present-day climatology also contribute to the intermodel spread in climate change projections. By comparing atmospheric general circulation model (AGCM) simulations using the climatological SSTs from different coupled models, we show that biases in the climatological SST generally have a larger impact on regional projections over land than do intermodel differences in the pattern of SST change. These results advocate for a greater application of AGCM simulations with observed SSTs or flux-adjusted coupled models to improve regional projections of anthropogenic climate change. ©2016. The Authors.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979784219&doi=10.1002%2f2016GL069803&partnerID=40&md5=d64e331bf313dd06c21911559523a9d4
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9826
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL, United States

Recommended Citation:
He J.,Soden B.J.. The impact of SST biases on projections of anthropogenic climate change: A greater role for atmosphere-only models?[J]. Geophysical Research Letters,2016-01-01,43(14).
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