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Extreme events in the multi-proxy South Pacific drought atlas

Author

Listed:
  • Philippa A. Higgins

    (University of New South Wales
    ARC Centre of Excellence in Australian Biodiversity and Heritage, University of New South Wales
    University of Technology Sydney)

  • Jonathan G. Palmer

    (ARC Centre of Excellence in Australian Biodiversity and Heritage, University of New South Wales
    University of New South Wales)

  • Martin S. Andersen

    (University of New South Wales)

  • Christian S. M. Turney

    (ARC Centre of Excellence in Australian Biodiversity and Heritage, University of New South Wales
    University of Technology Sydney
    University of New South Wales)

  • Fiona Johnson

    (University of New South Wales
    ARC Training Centre in Data Science for Resources and Environments)

Abstract

Droughts are a natural occurrence in many small Pacific Islands and can have severe impacts on local populations and environments. The El Niño-Southern Oscillation (ENSO) is a well-known driver of drought in the South Pacific, but our understanding of extreme ENSO events and their influence on island hydroclimate is limited by the short instrumental record and the infrequency of ENSO extremes. To address this gap, we developed the South Pacific Drought Atlas (SPaDA), a multi-proxy, spatially resolved reconstruction of the November–April Standardised Precipitation Evapotranspiration Index for the southwest Pacific islands. The reconstruction covers the period from 1640 to 1998 CE and is based on nested principal components regression. It replicates historical droughts linked to ENSO events with global influence, compares well to previously published ENSO reconstructions, and is independently verified against fossil coral records from the Pacific. To identify anomalous hydroclimatic states in the SPaDA that may indicate the occurrence of an extreme event, we used an Isolation Forest, an unsupervised machine learning algorithm. Extreme El Niño events characterised by very strong southwest Pacific drought anomalies and a zonal SPCZ orientation are shown to have occurred throughout the reconstruction interval, providing a valuable baseline to compare to climate model projections. By identifying the spatial patterns of drought resulting from extreme events, we can better understand the impacts these events may have on individual Pacific Islands in the future.

Suggested Citation

  • Philippa A. Higgins & Jonathan G. Palmer & Martin S. Andersen & Christian S. M. Turney & Fiona Johnson, 2023. "Extreme events in the multi-proxy South Pacific drought atlas," Climatic Change, Springer, vol. 176(8), pages 1-20, August.
    • Handle: RePEc:spr:climat:v:176:y:2023:i:8:d:10.1007_s10584-023-03585-2
    DOI: 10.1007/s10584-023-03585-2
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    References listed on IDEAS

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    1. Jinbao Li & Shang-Ping Xie & Edward R. Cook & Mariano S. Morales & Duncan A. Christie & Nathaniel C. Johnson & Fahu Chen & Rosanne D’Arrigo & Anthony M. Fowler & Xiaohua Gou & Keyan Fang, 2013. "El Niño modulations over the past seven centuries," Nature Climate Change, Nature, vol. 3(9), pages 822-826, September.
    2. Joëlle Gergis & Anthony Fowler, 2009. "A history of ENSO events since A.D. 1525: implications for future climate change," Climatic Change, Springer, vol. 92(3), pages 343-387, February.
    3. Scott B. Power & François P. D. Delage & Christine T. Y. Chung & Hua Ye & Bradley F. Murphy, 2017. "Humans have already increased the risk of major disruptions to Pacific rainfall," Nature Communications, Nature, vol. 8(1), pages 1-7, April.
    4. Kim M. Cobb & Christopher D. Charles & Hai Cheng & R. Lawrence Edwards, 2003. "El Niño/Southern Oscillation and tropical Pacific climate during the last millennium," Nature, Nature, vol. 424(6946), pages 271-276, July.
    5. Feng Zhu & Julien Emile-Geay & Kevin J. Anchukaitis & Gregory J. Hakim & Andrew T. Wittenberg & Mariano S. Morales & Matthew Toohey & Jonathan King, 2022. "A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
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