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Coupling of Indo-Pacific climate variability over the last millennium

Author

Listed:
  • Nerilie J. Abram

    (The Australian National University
    The Australian National University)

  • Nicky M. Wright

    (The Australian National University
    The Australian National University)

  • Bethany Ellis

    (The Australian National University
    The Australian National University)

  • Bronwyn C. Dixon

    (The Australian National University
    The Australian National University
    University of Melbourne)

  • Jennifer B. Wurtzel

    (The Australian National University
    New South Wales Department of Primary Industries)

  • Matthew H. England

    (University of New South Wales
    University of New South Wales)

  • Caroline C. Ummenhofer

    (University of New South Wales
    Woods Hole Oceanographic Institution)

  • Belle Philibosian

    (United States Geological Survey)

  • Sri Yudawati Cahyarini

    (Indonesian Institute of Sciences (LIPI))

  • Tsai-Luen Yu

    (National Taiwan University
    National Taiwan University)

  • Chuan-Chou Shen

    (National Taiwan University
    National Taiwan University
    National Taiwan University)

  • Hai Cheng

    (Xi’an Jiaotong University
    University of Minnesota)

  • R. Lawrence Edwards

    (University of Minnesota)

  • David Heslop

    (The Australian National University)

Abstract

The Indian Ocean Dipole (IOD) affects climate and rainfall across the world, and most severely in nations surrounding the Indian Ocean1–4. The frequency and intensity of positive IOD events increased during the twentieth century5 and may continue to intensify in a warming world6. However, confidence in predictions of future IOD change is limited by known biases in IOD models7 and the lack of information on natural IOD variability before anthropogenic climate change. Here we use precisely dated and highly resolved coral records from the eastern equatorial Indian Ocean, where the signature of IOD variability is strong and unambiguous, to produce a semi-continuous reconstruction of IOD variability that covers five centuries of the last millennium. Our reconstruction demonstrates that extreme positive IOD events were rare before 1960. However, the most extreme event on record (1997) is not unprecedented, because at least one event that was approximately 27 to 42 per cent larger occurred naturally during the seventeenth century. We further show that a persistent, tight coupling existed between the variability of the IOD and the El Niño/Southern Oscillation during the last millennium. Indo-Pacific coupling was characterized by weak interannual variability before approximately 1590, which probably altered teleconnection patterns, and by anomalously strong variability during the seventeenth century, which was associated with societal upheaval in tropical Asia. A tendency towards clustering of positive IOD events is evident in our reconstruction, which—together with the identification of extreme IOD variability and persistent tropical Indo-Pacific climate coupling—may have implications for improving seasonal and decadal predictions and managing the climate risks of future IOD variability.

Suggested Citation

  • Nerilie J. Abram & Nicky M. Wright & Bethany Ellis & Bronwyn C. Dixon & Jennifer B. Wurtzel & Matthew H. England & Caroline C. Ummenhofer & Belle Philibosian & Sri Yudawati Cahyarini & Tsai-Luen Yu & , 2020. "Coupling of Indo-Pacific climate variability over the last millennium," Nature, Nature, vol. 579(7799), pages 385-392, March.
  • Handle: RePEc:nat:nature:v:579:y:2020:i:7799:d:10.1038_s41586-020-2084-4
    DOI: 10.1038/s41586-020-2084-4
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    Cited by:

    1. Yumin Liu & Kate Duffy & Jennifer G. Dy & Auroop R. Ganguly, 2023. "Explainable deep learning for insights in El Niño and river flows," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

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