Decreased Indian Ocean Dipole variability under prolonged greenhouse warming

被引:0
|
作者
Kim, Soong-Ki [1 ]
Park, Hyo-Jin [1 ,2 ]
An, Soon-Il [1 ,2 ,3 ]
Liu, Chao [1 ]
Cai, Wenju [4 ,5 ,6 ,7 ,8 ]
Santoso, Agus [9 ,10 ,11 ,12 ]
Kug, Jong-Seong [13 ]
机构
[1] Yonsei Univ, Irreversible Climate Change Res Ctr, Seoul, South Korea
[2] Yonsei Univ, Dept Atmospher Sci, Seoul, South Korea
[3] Pohang Univ Sci & Technol POSTECH, Div Environm Sci & Engn, Pohang, South Korea
[4] Ocean Univ China, Sanya Oceanog Inst, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Phys Oceanog Lab, Qingdao, Peoples R China
[5] Laoshan Lab, Qingdao, Peoples R China
[6] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen, Peoples R China
[7] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen, Peoples R China
[8] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian, Peoples R China
[9] CSIRO, Ctr Southern Hemisphere Oceans Res CSHOR, Hobart, Australia
[10] Univ New South Wales, Climate Change Res Ctr, Sydney, Australia
[11] Univ New South Wales, Ctr Excellence Climate Extremes, Australian Res Council ARC, Sydney, Australia
[12] Ocean Univ China, Int CLIVAR Project Off, Qingdao, Peoples R China
[13] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
RAINFALL; DESIGN; IMPACT; IOD;
D O I
10.1038/s41467-024-47276-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Indian Ocean Dipole (IOD) is a major climate variability mode that substantially influences weather extremes and climate patterns worldwide. However, the response of IOD variability to anthropogenic global warming remains highly uncertain. The latest IPCC Sixth Assessment Report concluded that human influences on IOD variability are not robustly detected in observations and twenty-first century climate-model projections. Here, using millennial-length climate simulations, we disentangle forced response and internal variability in IOD change and show that greenhouse warming robustly suppresses IOD variability. On a century time scale, internal variability overwhelms the forced change in IOD, leading to a widespread response in IOD variability. This masking effect is mainly caused by a remote influence of the El Nino-Southern Oscillation. However, on a millennial time scale, nearly all climate models show a long-term weakening trend in IOD variability by greenhouse warming. Our results provide compelling evidence for a human influence on the IOD. This study shows that the variability of the Indian Ocean Dipole robustly weakens due to long-term warming. The findings provide compelling evidence for an anthropogenic influence on the Indian Ocean Dipole intensity.
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收藏
页数:9
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