Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment

doi:10.1029/2021GL096887

CORC > 海洋研究所 > 中国科学院海洋研究所 > 海洋环流与波动重点实验室

	Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment
	Bi, Daohua 6; Wang, Guojian 4,5,6; Cai, Wenju 4,5,6; Santoso, Agus 3,6; Sullivan, Arnold 2,6; Ng, Benjamin 6; Jia, Fan 1,4
刊名	GEOPHYSICAL RESEARCH LETTERS
	2022-01-28
卷号	49 期号:2 页码:10
ISSN号	0094-8276
DOI	10.1029/2021GL096887
通讯作者	Bi, Daohua(dave.bi@csiro.au) ; Wang, Guojian(guojian.wang@csiro.au)
英文摘要	The tropical Pacific Ocean interacts with the tropical Atlantic Ocean on interannual time scales. However, most coupled climate models misrepresent and/or underestimate these teleconnections, which have important implications on the periodicity of the El Nino-Southern Oscillation (ENSO). Imposing the observed sea surface temperature over the tropical Atlantic from 1970 onwards, a pacemaker experiment is constructed using the second version of the Australian Community Climate and Earth System Simulator Coupled Model (ACCESS-CM2). Compared with control runs which reasonably simulate the interaction between ENSO and the north tropical Atlantic variability, the pacemaker experiment significantly improves the impact of the Atlantic Niiio/Niiia on ENSO. This enhanced teleconnection contributes to a more realistic ENSO periodicity compared with the control runs, thus suggesting that capturing the influence from equatorial Atlantic variability is important for an improved ENSO simulation. Plain Language Summary The El Nino-Southern Oscillation (ENSO) is one of the most important drivers of extreme weather and climate events on Earth. Achieving a realistic ENSO, which is critical for accurate climate predictions and projections, has been a challenge for many climate models. For example, the ACCESS-CM2, one of the latest state-of-the-art climate models contributing to the sixth IPCC report, is found to only generate a quasi-biennial ENSO, failing to reproduce the observed dominant 3-7 year periodicities. Here, we show that the problem is at least partly due to the model's persistent and extensive tropical Atlantic warm bias. Replacing the tropical Atlantic SST with the observed over the course of 50-year simulation results in a more realistic ENSO variability. This result suggests that equatorial Atlantic variability plays an important role in shaping Pacific ENSO events. Improving the model's representation of the tropical Atlantic is therefore crucial for enhancing its skill in ENSO simulation, prediction, and projection.
资助项目	Centre for Southern Hemisphere Oceans Research ; Australian Government
WOS研究方向	Geology
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000751642800040
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/178011]
专题	海洋研究所_海洋环流与波动重点实验室
通讯作者	Bi, Daohua; Wang, Guojian
作者单位	1.Chinese Acad Sci, CAS Key Lab Ocean Circulat & Waves, Inst Oceanol, Ctr Ocean Megasci, Beijing, Peoples R China 2.Monash Univ, Sch Earth Atmosphere & Environm, Melbourne, Vic, Australia 3.Univ New South Wales, Australian Res Council ARC, Ctr Excellence Climate Extremes, Sydney, NSW, Australia 4.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China 5.Ocean Univ China, Inst Adv Ocean Studies, Key Lab Phys Oceanog, Qingdao, Peoples R China 6.CSIRO Oceans & Atmosphere, Ctr Southern Hemisphere Oceans Res CSHOR, Hobart, Tas, Australia
推荐引用方式 GB/T 7714	Bi, Daohua,Wang, Guojian,Cai, Wenju,et al. Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment[J]. GEOPHYSICAL RESEARCH LETTERS,2022,49(2):10.
APA	Bi, Daohua.,Wang, Guojian.,Cai, Wenju.,Santoso, Agus.,Sullivan, Arnold.,...&Jia, Fan.(2022).Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment.GEOPHYSICAL RESEARCH LETTERS,49(2),10.
MLA	Bi, Daohua,et al."Improved Simulation of ENSO Variability Through Feedback From the Equatorial Atlantic in a Pacemaker Experiment".GEOPHYSICAL RESEARCH LETTERS 49.2(2022):10.