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Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass

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  • Wenchao Zhang

    (Chinese Academy of Sciences
    China University of Geosciences (Beijing))

  • Haibin Wu

    (Chinese Academy of Sciences
    CAS Center for Excellence in Life and Paleoenvironment
    University of Chinese Academy of Sciences)

  • Jun Cheng

    (Nanjing University of Information Science and Technology)

  • Junyan Geng

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Qin Li

    (Chinese Academy of Sciences
    Liaoning Normal University)

  • Yong Sun

    (Chinese Academy of Sciences)

  • Yanyan Yu

    (Chinese Academy of Sciences)

  • Huayu Lu

    (Nanjing University)

  • Zhengtang Guo

    (Chinese Academy of Sciences
    CAS Center for Excellence in Life and Paleoenvironment
    University of Chinese Academy of Sciences)

Abstract

The origin of the temperature divergence between Holocene proxy reconstructions and model simulations remains controversial, but it possibly results from potential biases in the seasonality of reconstructions or in the climate sensitivity of models. Here we present an extensive dataset of Holocene seasonal temperatures reconstructed using 1310 pollen records covering the Northern Hemisphere landmass. Our results indicate that both summer and winter temperatures warmed from the early to mid-Holocene (~11–7 ka BP) and then cooled thereafter, but with significant spatial variability. Strong early Holocene warming trend occurred mainly in Europe, eastern North America and northern Asia, which can be generally captured by model simulations and is likely associated with the retreat of continental ice sheets. The subsequent cooling trend is pervasively recorded except for northern Asia and southeastern North America, which may reflect the cross-seasonal impact of the decreasing summer insolation through climatic feedbacks, but the cooling in winter season is not well reproduced by climate models. Our results challenge the proposal that seasonal biases in proxies are the main origin of model–data discrepancies and highlight the critical impact of insolation and associated feedbacks on temperature changes, which warrant closer attention in future climate modelling.

Suggested Citation

  • Wenchao Zhang & Haibin Wu & Jun Cheng & Junyan Geng & Qin Li & Yong Sun & Yanyan Yu & Huayu Lu & Zhengtang Guo, 2022. "Holocene seasonal temperature evolution and spatial variability over the Northern Hemisphere landmass," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33107-0
    DOI: 10.1038/s41467-022-33107-0
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    2. Lixiong Xiang & Xiaozhong Huang & Mingjie Sun & Virginia N. Panizzo & Chong Huang & Min Zheng & Xuemei Chen & Fahu Chen, 2023. "Prehistoric population expansion in Central Asia promoted by the Altai Holocene Climatic Optimum," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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