Typhoon storm surge in the southeast Chinese mainland modulated by ENSO
Abstract In the past decade (2010–2019), the annual maximum typhoon storm surge (AMTSS) accounted for 46.6% of the total direct economic loss caused by marine disasters in Chinese mainland, but its prediction in advance is challenging. By analyzing records of 23 tide-gauge stations, we found that th...
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Nature Portfolio
2021
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oai:doaj.org-article:0e6984cc14404ce7bd788346cfc0f0662021-12-02T17:15:32ZTyphoon storm surge in the southeast Chinese mainland modulated by ENSO10.1038/s41598-021-89507-72045-2322https://doaj.org/article/0e6984cc14404ce7bd788346cfc0f0662021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89507-7https://doaj.org/toc/2045-2322Abstract In the past decade (2010–2019), the annual maximum typhoon storm surge (AMTSS) accounted for 46.6% of the total direct economic loss caused by marine disasters in Chinese mainland, but its prediction in advance is challenging. By analyzing records of 23 tide-gauge stations, we found that the AMTSSs in Shanghai, Zhejiang and Fujian show significant positive correlations with the El Niño-Southern Oscillation (ENSO). For the 1987–2016 period, the maximum correlation is achieved at Pingtan station, where correlation coefficient between the AMTSS and Niño-3.4 is 0.55. The AMTSS occurring in El Niño years are stronger than those in non-El Niño years by 9–35 cm in these areas. Further analysis suggests that a developing El Niño can greatly modulate the behaviors of Northwest Pacific typhoons. Strong typhoons tend to make landfall in southeast China with stronger intensities and northward shifted landfall positions. This study indicates that the modulation effect by ENSO may provide potential predictability for the AMTSS, which is useful for the early alert and reduction of storm surge damages.Xingru FengMingjie LiYuanlong LiFujiang YuDezhou YangGuandong GaoLingjing XuBaoshu YinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Xingru Feng Mingjie Li Yuanlong Li Fujiang Yu Dezhou Yang Guandong Gao Lingjing Xu Baoshu Yin Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
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Abstract In the past decade (2010–2019), the annual maximum typhoon storm surge (AMTSS) accounted for 46.6% of the total direct economic loss caused by marine disasters in Chinese mainland, but its prediction in advance is challenging. By analyzing records of 23 tide-gauge stations, we found that the AMTSSs in Shanghai, Zhejiang and Fujian show significant positive correlations with the El Niño-Southern Oscillation (ENSO). For the 1987–2016 period, the maximum correlation is achieved at Pingtan station, where correlation coefficient between the AMTSS and Niño-3.4 is 0.55. The AMTSS occurring in El Niño years are stronger than those in non-El Niño years by 9–35 cm in these areas. Further analysis suggests that a developing El Niño can greatly modulate the behaviors of Northwest Pacific typhoons. Strong typhoons tend to make landfall in southeast China with stronger intensities and northward shifted landfall positions. This study indicates that the modulation effect by ENSO may provide potential predictability for the AMTSS, which is useful for the early alert and reduction of storm surge damages. |
format |
article |
author |
Xingru Feng Mingjie Li Yuanlong Li Fujiang Yu Dezhou Yang Guandong Gao Lingjing Xu Baoshu Yin |
author_facet |
Xingru Feng Mingjie Li Yuanlong Li Fujiang Yu Dezhou Yang Guandong Gao Lingjing Xu Baoshu Yin |
author_sort |
Xingru Feng |
title |
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
title_short |
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
title_full |
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
title_fullStr |
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
title_full_unstemmed |
Typhoon storm surge in the southeast Chinese mainland modulated by ENSO |
title_sort |
typhoon storm surge in the southeast chinese mainland modulated by enso |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/0e6984cc14404ce7bd788346cfc0f066 |
work_keys_str_mv |
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