Typhoon storm surge in the southeast Chinese mainland modulated by ENSO

Feng, Xingru; Li, Mingjie; Li, Yuanlong; Yu, Fujiang; Yang, Dezhou; Gao, Guandong; Xu, Lingjing; Yin, Baoshu

doi:10.1038/s41598-021-89507-7

Cited by 12 publications

(7 citation statements)

References 38 publications

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“…1B) ( 16 , 19 ). In addition, increased typhoon intensity and super typhoon occurrence in summer are observed during El Niño years ( 20 , 21 ). At present, the low-lying land on both sides of Hangzhou Bay is often subject to severe flooding caused by intense rainfall, typhoons, and poor drainage during the summer monsoon season ( 22 ).…”

Section: Resultsmentioning

confidence: 99%

Collapse of the Liangzhu and other Neolithic cultures in the lower Yangtze region in response to climate change

et al. 2021

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The Liangzhu culture in the Yangtze River Delta (YRD) was among the world's most advanced Neolithic cultures. Archeological evidence suggests that the Liangzhu ancient city was abandoned, and the culture collapsed at ~4300 years ago. Here, we present speleothem records from southeastern China in conjunction with other paleoclimatic and archeological data to show that the Liangzhu culture collapsed within a short and anomalously wet period between 4345 ± 32 and 4324 ± 30 years ago, supporting the hypothesis that the city was abandoned after large-scale flooding and inundation. We further show that the demise of Neolithic cultures in the YRD occurred within an extended period of aridity that started at ~4000 ± 45 years ago. We suggest that the major hydroclimatic changes between 4300 and 3000 years ago may have resulted from an increasing frequency of the El Niño-Southern Oscillation in the context of weakened Northern Hemisphere summer insolation.

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Section: Resultsmentioning

confidence: 99%

Collapse of the Liangzhu and other Neolithic cultures in the lower Yangtze region in response to climate change

et al. 2021

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“…To filter out the storm surge under the influence of the typhoon, we defined the storm surge at each station before and after 24 hours of each typhoon landfall in this study as the typhoon storm surge. Following Feng et al (2021b), we set the storm surge exceeding 50cm as significant surge. Then we performed statistics on the storm surge at the stations on the left and right sides of each landfalling typhoon, as shown in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

Explanations for the positive storm surges on the left side of landfall typhoons in China

Wan,

Feng,

Yin

et al. 2024

Front. Mar. Sci.

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The coastal regions of Southeast China frequently experience unusual positive storm surges on the left side of landfalling typhoons, a phenomenon historically overlooked and inadequately explained by conventional circular wind field models. In this study, a high resolution, two-dimensional storm surge model based on ADCIRC along with tide gauge data were used to investigate the spatiotemporal distribution of these surges and proposes underlying mechanisms, informed by a comparative analysis of circular and ERA5 reanalysis wind fields during typical typhoon event 9711 Winnie. Analyzing tide gauge data spanning from 1986 to 2016, the study uncovers a distinct pattern of left-side positive storm surges along the southeastern coast, notably on the Fujian coast and within the Taiwan Strait, which are found to be comparable to those on the cyclone’s right side. The research also documents a significant escalation in both the frequency and intensity of these left-side surges over the past three decades. Simulation results highlights the inadequacies of circular wind field models in operational forecasting and emphasizes the necessity of accounting for topographic influences and the structural complexity of wind fields in storm surge predictions. This is particularly pertinent in semi-enclosed seas with intricate hydrodynamics, such as the Taiwan Strait. The insights gleaned from this study are pivotal for enhancing the real-time simulation and prediction of storm surges, which are vital for coastal safety and disaster prevention measures.

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“…In recent years, there has been a lot of attention to investigating how climate change affects the storm surges in the WNP 7 , 8 . Some studies have examined changes in storm surge extremes with large-scale indices such as the PDO and ENSO using tide gauge data 2 , 9 , 10 .…”

Section: Background and Summarymentioning

confidence: 99%

A dataset of storm surge reconstructions in the Western North Pacific using CNN

Dang,

Feng,

et al. 2024

Sci Data

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The relatively short duration of available tide gauge records poses challenges for conducting comprehensive statistical analyses of storm surges in the Western North Pacific. To address this issue, we employ a convolutional neural network model to reconstruct the maximum daily storm surge at 160 tide gauges from 1900 to 2010 in the Western North Pacific. The reconstructed dataset serves multiple purposes. Firstly, it facilitates the identification of regions where notable changes in the storm surges have occurred in the past. Additionally, the dataset enables long-term analyses of the storm surge climate, offering insights into historical patterns and variations. Furthermore, it provides a solid foundation for conducting robust extreme value analyses. To ensure accessibility, the data are publicly available through a repository, allowing for easy access and utilization by the broader scientific community and the general public. Overall, our research contributes to the field of oceanography by providing a dataset that aids in understanding the historical storm surge dynamics in the Western North Pacific region.

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Typhoon storm surge in the southeast Chinese mainland modulated by ENSO

Cited by 12 publications

References 38 publications

Collapse of the Liangzhu and other Neolithic cultures in the lower Yangtze region in response to climate change

Collapse of the Liangzhu and other Neolithic cultures in the lower Yangtze region in response to climate change

Explanations for the positive storm surges on the left side of landfall typhoons in China

A dataset of storm surge reconstructions in the Western North Pacific using CNN

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