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Observed influence of anthropogenic climate change on tropical cyclone heavy rainfall

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  • Nobuyuki Utsumi

    (Kyoto University of Advanced Science)

  • Hyungjun Kim

    (Korea Advanced Institute of Science and Technology
    Korea Advanced Institute of Science and Technology
    The University of Tokyo)

Abstract

The impact of climate change on tropical cyclones (TCs) is of great concern in the Western North Pacific (WNP) region. Observations suggest that there have been recent changes in TC-related heavy rainfall. However, it has not yet been determined whether anthropogenic forcing has any contribution to such changes. Here, we show evidence that the human-induced warming has considerably changed the frequency of TC-induced heavy rainfall events in the WNP region. Observations since 1961 show that the occurrence of TC-induced heavy rainfall has significantly increased along coastal East Asia, while it has decreased in the southern part of WNP. On the basis of large ensemble climate simulations, we demonstrate that the observed changes cannot be explained solely by natural variability. This suggests that anthropogenic impacts have already significantly altered the TC-induced heavy rainfall pattern in the WNP region.

Suggested Citation

  • Nobuyuki Utsumi & Hyungjun Kim, 2022. "Observed influence of anthropogenic climate change on tropical cyclone heavy rainfall," Nature Climate Change, Nature, vol. 12(5), pages 436-440, May.
    • Handle: RePEc:nat:natcli:v:12:y:2022:i:5:d:10.1038_s41558-022-01344-2
    DOI: 10.1038/s41558-022-01344-2
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    Cited by:

    1. Khalifa M. Al-Kindi & Rahma Al Nadhairi & Suleiman Al Akhzami, 2023. "Dynamic Change in Normalised Vegetation Index (NDVI) from 2015 to 2021 in Dhofar, Southern Oman in Response to the Climate Change," Agriculture, MDPI, vol. 13(3), pages 1-24, February.
    2. Fang, Zhou & Liao, Shengli & Cheng, Chuntian & Zhao, Hongye & Liu, Benxi & Su, Huaying, 2023. "Parallel improved DPSA algorithm for medium-term optimal scheduling of large-scale cascade hydropower plants," Renewable Energy, Elsevier, vol. 210(C), pages 134-147.
    3. Guo, Kun & Liu, Fengqi & Sun, Xiaolei & Zhang, Dayong & Ji, Qiang, 2023. "Predicting natural gas futures’ volatility using climate risks," Finance Research Letters, Elsevier, vol. 55(PA).

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