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Decadal modulation of global surface temperature by internal climate variability

Author

Listed:
  • Aiguo Dai

    (University at Albany, SUNY
    National Center for Atmospheric Research, PO Box 3000 Boulder, Colorado 80307, USA)

  • John C. Fyfe

    (Canadian Centre for Climate Modeling and Analysis, Environment Canada, Victoria British Columbia V8W 2Y2, Canada)

  • Shang-Ping Xie

    (Scripps Institution of Oceanography, University of California at San Diego)

  • Xingang Dai

    (RCE-TEA, Institute of Atmospheric Physics, Chinese Academy of Sciences)

Abstract

This study investigates global surface temperature data since 1920, and the Interdecadal Pacific Oscillation is found to be largely responsible for temperature fluctuations, exhibiting different spatial patterns to anthropogenic temperature drivers.

Suggested Citation

  • Aiguo Dai & John C. Fyfe & Shang-Ping Xie & Xingang Dai, 2015. "Decadal modulation of global surface temperature by internal climate variability," Nature Climate Change, Nature, vol. 5(6), pages 555-559, June.
  • Handle: RePEc:nat:natcli:v:5:y:2015:i:6:d:10.1038_nclimate2605
    DOI: 10.1038/nclimate2605
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    Citations

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    Cited by:

    1. Jiechun Deng & Aiguo Dai, 2022. "Sea ice–air interactions amplify multidecadal variability in the North Atlantic and Arctic region," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Marco Gallegati, 2018. "A systematic wavelet-based exploratory analysis of climatic variables," Climatic Change, Springer, vol. 148(1), pages 325-338, May.
    3. Ruyu Gan & Qi Liu & Gang Huang & Kaiming Hu & Xichen Li, 2023. "Greenhouse warming and internal variability increase extreme and central Pacific El Niño frequency since 1980," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Yi Li & Youmin Tang & Shuai Wang & Ralf Toumi & Xiangzhou Song & Qiang Wang, 2023. "Recent increases in tropical cyclone rapid intensification events in global offshore regions," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Wenyu Zhou & L. Ruby Leung & Nicholas Siler & Jian Lu, 2023. "Future precipitation increase constrained by climatological pattern of cloud effect," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    6. Zhengqin Shen & Tao Xu & Guanyu Liu & Xuguang Sun & Xiu-Qun Yang, 2022. "Changes of Water Vapor Budget over East Asia in Response to 4xCO 2 Concentration Forcing," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    7. Poppick, Andrew & McKinnon, Karen A., 2020. "Observation-based Simulations of Humidity and Temperature Using Quantile Regression," Earth Arxiv bmskp, Center for Open Science.
    8. Jihun Ryu & Shih-Yu (Simon) Wang & Jin-Ho Yoon, 2024. "A time of emergence (TOE) analysis on the impact and uncertainty of global warming on Korean peak summers," Climatic Change, Springer, vol. 177(7), pages 1-15, July.
    9. Junju Zhou & Haitao Tang & Yu Qiu & Zhaonan Guo & Chuyu Luo & Xue Wang & Wei Shi & Dongxia Zhang & Chunli Wang & Xuemei Yang & Chunfang Liu & Wei Wei, 2023. "Spatio-Temporal Changes and Influencing Factors of Meteorological Dry-Wet in Northern China during 1960–2019," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    10. Tianbao Zhao & Aiguo Dai, 2017. "Uncertainties in historical changes and future projections of drought. Part II: model-simulated historical and future drought changes," Climatic Change, Springer, vol. 144(3), pages 535-548, October.
    11. Chunxiang Li & Tianbao Zhao & Kairan Ying, 2017. "Quantifying the contributions of anthropogenic and natural forcings to climate changes over arid-semiarid areas during 1946–2005," Climatic Change, Springer, vol. 144(3), pages 505-517, October.

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