An extreme sea level event along the northwest coast of the South China sea in 2011–2012

Li, Juan; Tan, Wei; Chen, Meixiang; Luo, Fei; Liu, Yong; Fu, Qingjun; Li, Bingtian

doi:10.1016/j.csr.2020.104073

Cited by 6 publications

(2 citation statements)

References 50 publications

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“…The details of the variables and model configurations can be found in Zhuang et al (2013) and Li et al (2020). Moreover, the region shallower than 100 m is masked by land.…”

Section: The 15-layer Reduced-gravity Modelmentioning

confidence: 99%

“…The steric effect plays a critical role in the seasonal variation in the interior SCS (Amiruddin et al, 2015; Feng et al, 2012), whereas the mass component dominates in continental shelf area (Cheng & Qi, 2010; Liu et al, 2001a). Based on tide gauge records, the seasonal sea‐level variations along the SCS coast are highly correlated with the nearby sea surface currents (Feng et al, 2015), suggesting the influence of dynamic process which may be related to buoyancy flux and local wind stress (Li et al, 2020; Zhou et al, 2012). In the northern SCS, the seasonal sea‐level variation is mainly attributed to the local dynamic/thermodynamic forcing and Kuroshio intrusion (Liu et al, 2001b).…”

Section: Introductionmentioning

confidence: 99%

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Seasonal–interannual–decadal variations of sea level in the South China Sea and connections with the tropical–subtropical Pacific

Tan

Sun

et al. 2023

Intl Journal of Climatology

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Different timescale contributions to the sea‐level variation in the South China Sea (SCS) are evaluated in this paper. On seasonal timescale, the large variance of the sea‐level anomaly (SLA) could account for more than 70% of the monthly sea‐level variation in the western shallow continental shelf and the area of Luzon cold eddy. Besides, the seasonal explained variance percentage (skill) has 2 weak centres (50%–70%) off eastern Vietnam, which is related to the summertime eddy pair in the SCS. On interannual‐to‐decadal (low‐frequency) timescale, the skill has two large‐value regions (Zone A and Zone B). Zone A is characterized by double centres off eastern Vietnam, but the meridional position of the double centres is farther north than that of the eddy pair. The skill in Zone A is in the range of 35%–55%, and about 50%–70% of the low‐frequency variation comes from the steric effect. Zone B is off the west coast of the Philippines. The skill in Zone B increases southward, and it is dominated by the wind‐induced dynamic process which is attributed to the remote Rossby wave from the tropical Pacific. Based on the S‐EOF analysis, the SEOF‐1 mode mainly portrays the decadal variation of the SLA, while the SEOF‐2 mode reflects the interannual variation of the SLA. In Zone B, almost all of the low‐frequency variation could be attributed to ENSO and PDO, especially to PDO which has a larger contribution. However, the double centres in Zone A are governed by the SCS summer monsoon, instead of ENSO and PDO.

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“…The details of the variables and model configurations can be found in Zhuang et al (2013) and Li et al (2020). Moreover, the region shallower than 100 m is masked by land.…”

Section: The 15-layer Reduced-gravity Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Seasonal–interannual–decadal variations of sea level in the South China Sea and connections with the tropical–subtropical Pacific

Tan

Sun

et al. 2023

Intl Journal of Climatology

Self Cite

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Reconstructing the Eta and Iota Events for San Andrés and Providencia: A Focus on Urban and Coastal Flooding

Osorio,

Montoya,

Ayala

et al. 2024

Disaster Risk Reduction

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Hurricanes Eta and Iota were the most intense events during the 2020 Atlantic hurricane season, and their passage caused serious infrastructure affectations and even human losses in the Archipelago of San Andrés, Providencia, and Santa Catalina due to the extreme winds, storm surge flooding, and rainfall flooding. Numerical modeling and field measurements were used to reconstruct the effects of these events on the archipelago. The simulations were conducted with WAVEWATCHIII, SWAN, XBeach, Storm Water Management Model (SWMM), and a parametric model for hurricane winds. A differentiated contribution of each hazard on physical infrastructure, coastal ecosystems, and population is represented through: winds up to 50 m/s, significant wave heights (Hs) between 1 and 6 m in intermediate waters (around 10 m deep) associated with flood levels in the order of 2 m on the coast, and flood distances varying between 12 and 904 m. A spatial distribution of Hs and the contribution of wave run-up and storm surge in some areas of the archipelago showed the importance of mangrove and coral reef ecosystems to mitigate the intensity of Eta and Iota on the coast. This study encourages science-based decision-making and provides information for policymakers to consolidate risk assessments in vulnerable zones like the archipelago.

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Reassessing the contributions of terrestrial waters to sea level variations in the South China Sea and its response to alternating ENSO events

Yang,

Fok,

2024

Sci. China Earth Sci.

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An extreme sea level event along the northwest coast of the South China sea in 2011–2012

Cited by 6 publications

References 50 publications

Seasonal–interannual–decadal variations of sea level in the South China Sea and connections with the tropical–subtropical Pacific

Seasonal–interannual–decadal variations of sea level in the South China Sea and connections with the tropical–subtropical Pacific

Reconstructing the Eta and Iota Events for San Andrés and Providencia: A Focus on Urban and Coastal Flooding

Reassessing the contributions of terrestrial waters to sea level variations in the South China Sea and its response to alternating ENSO events

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