期刊
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 122, 期 8, 页码 4202-4227出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2016JD025979
关键词
CMIP5; North Atlantic Oscillation; Northern Hemisphere surface temperature; multidecadal variability
资金
- MOST key project [2016YFA0601801]
- National Natural Science Foundation of China (NSFC) project [41522502]
- SOA International Cooperation Program on Global Change and Air-Sea Interactions [GASI-IPOVAI-03]
The North Atlantic Oscillation (NAO) is one of the most prominent teleconnection patterns in the Northern Hemisphere and has recently been found to be both an internal source and useful predictor of the multidecadal variability of the Northern Hemisphere mean surface temperature (NHT). In this study, we examine how well the variability of the NAO and NHT are reproduced in historical simulations generated by the 40 models that constitute Phase 5 of the Coupled Model Intercomparison Project (CMIP5). All of the models are able to capture the basic characteristics of the interannual NAO pattern reasonably well, whereas the simulated decadal NAO patterns show less consistency with the observations. The NAO fluctuations over multidecadal time scales are underestimated by almost all models. Regarding the NHT multidecadal variability, the models generally represent the externally forced variations well but tend to underestimate the internal NHT. With respect to the performance of the models in reproducing the NAO-NHT relationship, 14 models capture the observed decadal lead of the NAO, and model discrepancies in the representation of this linkage are derived mainly from their different interpretation of the underlying physical processes associated with the Atlantic Multidecadal Oscillation (AMO) and the Atlantic meridional overturning circulation (AMOC). This study suggests that one way to improve the simulation of the multidecadal variability of the internal NHT lies in better simulation of the multidecadal variability of the NAO and its delayed effect on the NHT variability via slow ocean processes.
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