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Emergent constraints on future projections of the western North Pacific Subtropical High

Author

Listed:
  • Xiaolong Chen

    (Chinese Academy of Sciences
    Chinese Academy of Sciences (CAS))

  • Tianjun Zhou

    (Chinese Academy of Sciences
    Chinese Academy of Sciences (CAS)
    University of the Chinese Academy of Sciences)

  • Peili Wu

    (Met Office Hadley Centre)

  • Zhun Guo

    (Chinese Academy of Sciences)

  • Minghuai Wang

    (Nanjing University)

Abstract

The western North Pacific Subtropical High (WNPSH) is a key circulation system controlling the summer monsoon and typhoon activities over the western Pacific, but future projections of its changes remain hugely uncertain. Here we find two leading modes that account for nearly 80% intermodel spread in its future projection under a high emission scenario. They are linked to a cold-tongue-like bias in the central-eastern tropical Pacific and a warm bias beneath the marine stratocumulus, respectively. Observational constraints using sea surface temperature patterns reduce the uncertainties by 45% and indicate a robust intensification of the WNPSH due to suppressed warming in the western Pacific and enhanced land-sea thermal contrast, leading to 28% more rainfall projected in East China and 36% less rainfall in Southeast Asia than suggested by the multi-model mean. The intensification of the WNPSH implies more future monsoon rainfall and heatwaves but less typhoon landfalls over East Asia.

Suggested Citation

  • Xiaolong Chen & Tianjun Zhou & Peili Wu & Zhun Guo & Minghuai Wang, 2020. "Emergent constraints on future projections of the western North Pacific Subtropical High," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16631-9
    DOI: 10.1038/s41467-020-16631-9
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    Cited by:

    1. Ziming Chen & Tianjun Zhou & Xiaolong Chen & Wenxia Zhang & Lixia Zhang & Mingna Wu & Liwei Zou, 2022. "Observationally constrained projection of Afro-Asian monsoon precipitation," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Wenxia Zhang & Kalli Furtado & Tianjun Zhou & Peili Wu & Xiaolong Chen, 2022. "Constraining extreme precipitation projections using past precipitation variability," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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