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Storm surge variability and prediction from Enso and tropical cyclones

Bibliographic Data

ID15549046
AuthorsYi‐Cheng Tan (Hohai University), Yicheng Tan, Wei Zhang (0000-0002-5458-9581, Hohai University, corresponding author), Xiangbo Feng (0000-0003-4143-107X, National Centre for Atmospheric Science), Yipeng Guo (0000-0002-2473-2578, Ministry of Education and Child Care), A J F Hoitink (0000-0003-4996-185X, Wageningen University & Research)
Year2023
Volume18
Issue2
Pages024016-024016
Publication date2023-01-10
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/acb1c8
OpenAlexW4315433092
LanguageEN
Citations received1
References cited43

Storm surges are among the deadliest natural hazards, but understanding and prediction of year-to-year variability of storm surges is challenging. Here, we demonstrate that the interannual variability of observed storm surge levels can be explained and further predicted, through a process-based study in Hong Kong. We find that El Niño-Southern Oscillation (ENSO) exerts a compound impact on storm surge levels through modulating tropical cyclones (TCs) and other forcing factors. The occurrence frequencies of local and remote TCs are responsible for the remaining variability in storm surge levels after removing the ENSO effect. Finally, we show that a statistical prediction model formed by ENSO and TC indices has good skill for prediction of extreme storm surge levels. The analysis approach can be applied to other coastal regions where tropical storms and the climate variability are main contributors to storm surges. Our study gives new insight into identifying ‘windows of opportunity’ for successful prediction of storm surges on long-range timescales

Climatology · El Niño Southern Oscillation · Forcing (mathematics · Geography · Meteorology · Natural hazard · Storm · Storm surge · Surge · Tropical cyclone · Climate variability and models · Environmental Science · Meteorological Phenomena and Simulations · Tropical and Extratropical Cyclones Research · Geology

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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Open DOIOpen Access
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