Decreased Indian Ocean Dipole variability under prolonged greenhouse warming

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作者
Soong-Ki Kim
Hyo-Jin Park
Soon-Il An
Chao Liu
Wenju Cai
Agus Santoso
Jong-Seong Kug
机构
[1] Yonsei University,Irreversible Climate Change Research Center
[2] Yonsei University,Department of Atmospheric Sciences
[3] Pohang University of Science and Technology (POSTECH),Division of Environmental Science and Engineering
[4] Ocean University of China,Frontiers Science Center for Deep Ocean Multispheres and Earth System/Physical Oceanography Laboratory/Sanya Oceanographic Institution
[5] Laoshan Laboratory,State Key Laboratory of Marine Environmental Science & College of Ocean and Earth Sciences
[6] Xiamen University,State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment
[7] Chinese Academy of Sciences,Centre for Southern Hemisphere Oceans Research (CSHOR)
[8] CSIRO,Climate Change Research Centre and Australian Research Council (ARC) Centre of Excellence for Climate Extremes
[9] The University of New South Wales,International CLIVAR Project Office
[10] Ocean University of China,School of Earth and Environmental Sciences
[11] Seoul National University,undefined
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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 Niño–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.
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