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影响因子：4.7

DOI码：10.1029/2021GL095516

所属单位：南京信息工程大学

发表刊物：Geophysical Research Letters

刊物所在地：美国

项目来源：NNSF（42088101）

关键字：Global warming diversity

摘要：The multi-model ensemble mean sea surface temperature (SST) of CMIP5 models shows an
El Niño-like Pacific warming (PW) trend, contradictory with the observational result which manifests a La Niña-like PW pattern. Here, we demonstrate that these two SST PWs coexist in the CMIP5 models and they are largely determined by the model's tropical Indo-Pacific SST gradient. When the Pacific warms faster than the Indian Ocean (IO), the model tends to project an El Niño-like PW pattern. In contrast, a La Niña-like warming trend prevails if a more rapid IO warming is simulated. We suggest that the PW pattern in an individual model is nonstationary and may transform from a La Niña-like to an El Niño-like when its interbasin SST gradient changes with more robust warming in the Pacific, and vice versa. Our conclusions shed great light on the future SST PW pattern change projected by the coupled models.

论文类型：期刊论文

是否译文：否

发表时间：2021-11-15

收录刊物：SCI