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Timescales for detection of trends in the ocean carbon sink

Author

Listed:
  • Galen A. McKinley

    (University of Wisconsin—Madison
    Center for Climatic Research, University of Wisconsin—Madison, Madison
    Space Science and Engineering Center, University of Wisconsin—Madison)

  • Darren J. Pilcher

    (University of Wisconsin—Madison
    Center for Climatic Research, University of Wisconsin—Madison, Madison
    NOAA Pacific Marine Environmental Laboratory)

  • Amanda R. Fay

    (University of Wisconsin—Madison
    Space Science and Engineering Center, University of Wisconsin—Madison)

  • Keith Lindsay

    (National Center for Atmospheric Research)

  • Matthew C. Long

    (National Center for Atmospheric Research)

  • Nicole S. Lovenduski

    (University of Colorado Boulder)

Abstract

A climate modelling experiment is used to identify where ocean carbon uptake should change as a result of anthropogenic climate change and to distinguish these changes from internal climate variability; we may be able to detect changing uptake in some oceanic regions between 2020 and 2050, but until then, internal climate variability will preclude such detection.

Suggested Citation

  • Galen A. McKinley & Darren J. Pilcher & Amanda R. Fay & Keith Lindsay & Matthew C. Long & Nicole S. Lovenduski, 2016. "Timescales for detection of trends in the ocean carbon sink," Nature, Nature, vol. 530(7591), pages 469-472, February.
  • Handle: RePEc:nat:nature:v:530:y:2016:i:7591:d:10.1038_nature16958
    DOI: 10.1038/nature16958
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    Cited by:

    1. Feng, Jing-Chun & Sun, Liwei & Yan, Jinyue, 2023. "Carbon sequestration via shellfish farming: A potential negative emissions technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Miho Ishizu & Yasumasa Miyazawa & Xinyu Guo, 2021. "Long-term variations in ocean acidification indices in the Northwest Pacific from 1993 to 2018," Climatic Change, Springer, vol. 168(3), pages 1-20, October.

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