Shangfeng Chen, Wen Chen, Renguang Wu, Bin Yu, Hans-F. Graf, Qingyu Cai, Jun Ying, Wanqiu Xing
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引用次数: 0
Abstract
The springtime Arctic Oscillation (AO), a dominant pattern of atmospheric variability in the extra-tropical Northern Hemisphere, influences the subsequent El Niño-Southern Oscillation (ENSO) by triggering westerly wind bursts over the equatorial western Pacific. It thereby provides a source of predictability of ENSO. However, the influence of AO on ENSO is not stable in time, the causes of which have not been well addressed. This study shows that the AO-ENSO relationship has exhibited multi-decadal variations that are primarily caused by the Atlantic Multidecadal Variability (AMV). During the negative AMV phases, the strengthening of the Pacific center of the AO induces stronger atmospheric and sea surface temperature anomalies in the subtropical North Pacific. Those anomalies generate pronounced westerly wind anomalies over the equatorial western Pacific via air–sea interaction process, leading to a strengthened impact of the spring AO on ENSO. Observations and North Atlantic Pacemaker experiments confirm the AMV impact on the Pacific center of the AO by changing the strength of the Aleutian Low and the polar vortex. This study highlights the importance of AMV as a key factor controlling the impact of AO on ENSO and tropical climate variability.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.