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Increased frequency of extreme La Niña events under greenhouse warming

Author

Listed:
  • Wenju Cai

    (CSIRO Oceans and Atmosphere Flagship, Aspendale
    Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology, Ocean University of China)

  • Guojian Wang

    (CSIRO Oceans and Atmosphere Flagship, Aspendale
    Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology, Ocean University of China)

  • Agus Santoso

    (Australian Research Council (ARC) Centre of Excellence for Climate System Science, Level 4 Mathews Building, The University of New South Wales)

  • Michael J. McPhaden

    (NOAA/Pacific Marine Environmental Laboratory, Seattle)

  • Lixin Wu

    (Physical Oceanography Laboratory, Qingdao Collaborative Innovation Center of Marine Science and Technology, Ocean University of China)

  • Fei-Fei Jin

    (SOEST, University of Hawaii, Honolulu)

  • Axel Timmermann

    (SOEST, University of Hawaii, Honolulu)

  • Mat Collins

    (College of Engineering Mathematics and Physical Sciences, Harrison Building, Streatham Campus, University of Exeter)

  • Gabriel Vecchi

    (Geophysical Fluid Dynamics Laboratory/NOAA, Princeton)

  • Matthieu Lengaigne

    (Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques (LOCEAN), IRD/UPMC/CNRS/MNHN)

  • Matthew H. England

    (Australian Research Council (ARC) Centre of Excellence for Climate System Science, Level 4 Mathews Building, The University of New South Wales)

  • Dietmar Dommenget

    (School of Mathematical Sciences, Monash University, Clayton)

  • Ken Takahashi

    (Instituto Geofísico del Perú)

  • Eric Guilyardi

    (Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques (LOCEAN), IRD/UPMC/CNRS/MNHN
    NCAS-Climate, University of Reading)

Abstract

Extreme La Niña events occur when cold sea surface temperatures across the central Pacific Ocean create a strong temperature gradient to the Maritime continent in the west. This work projects an increase in frequency of La Niña events due to faster land warming relative to the ocean, and a greater chance of them occurring following extreme El Niño events.

Suggested Citation

  • Wenju Cai & Guojian Wang & Agus Santoso & Michael J. McPhaden & Lixin Wu & Fei-Fei Jin & Axel Timmermann & Mat Collins & Gabriel Vecchi & Matthieu Lengaigne & Matthew H. England & Dietmar Dommenget & , 2015. "Increased frequency of extreme La Niña events under greenhouse warming," Nature Climate Change, Nature, vol. 5(2), pages 132-137, February.
    • Handle: RePEc:nat:natcli:v:5:y:2015:i:2:d:10.1038_nclimate2492
    DOI: 10.1038/nclimate2492
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    Cited by:

    1. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is Climate Change Time-Reversible?," Econometrics, MDPI, vol. 10(4), pages 1-18, December.
    2. Chen, Fanglin & Zhang, Jie & Chen, Zhongfei, 2024. "Assessment of the effects of extreme temperature on economic activity," Ecological Economics, Elsevier, vol. 222(C).
    3. Binhe Luo & Dehai Luo & Yao Ge & Aiguo Dai & Lin Wang & Ian Simmonds & Cunde Xiao & Lixin Wu & Yao Yao, 2023. "Origins of Barents-Kara sea-ice interannual variability modulated by the Atlantic pathway of El Niño–Southern Oscillation," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Calice,Pietro & Miguel Liriano,Faruk, 2021. "Climate-Related and Environmental Risks for the Banking Sector in Latin America and the Caribbean : A Preliminary Assessment," Policy Research Working Paper Series 9694, The World Bank.
    5. Brei, Michael & Mohan, Preeya & Perez Barahona, Agustin & Strobl, Eric, 2024. "Transmission of natural disasters to the banking sector: Evidence from thirty years of tropical storms in the Caribbean," Journal of International Money and Finance, Elsevier, vol. 141(C).

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