The imprint of the ENSO activities on the South China Sea wave climate

Wang, Xuechao; Liu, Qinyan; Sui, Dandan; Wang, Dongxiao

doi:10.1007/s10236-020-01400-5

Cited by 8 publications

(8 citation statements)

References 49 publications

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“…Also, Wang et al. (2020) systematically discussed the wave climate change in the South China Sea and its underlying mechanism. They found that the SWH and wave period in the South China Sea were increased significantly with wind speed had no significant change from 1979 to 2018 and they inferred the wave climate enhancement could be attributed to the growth of the swell associated with the increased frequency of gales whose speed is greater than class 6 (10.8 m/s) in the South China Sea.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, the El Niño‐Southern Oscillation (ENSO) activities influenced wave climate in the South China Sea by acting on local wind and frequency of gales and was of great significance to the wave climate change (Han et al., 2017). ENSO regulated the South China Sea wave's inter‐annual variation through the wind in the northeast of the South China Sea and the ocean propagation process (swell) pushed the associated signals to the southwest of the South China Sea (Wang et al., 2020). In other words, the increase in the SWH in the Beibu Gulf may be caused by the swell from the northern part of the South China Sea.…”

Section: Resultsmentioning

confidence: 99%

“…where, N g indicates the number of gales whose speed is greater than class 6 (10.8 m/s) (Wang et al, 2020) in a year and N d indicates the number of days in a year, 366 in a leap year and 365 in a normal year. Specifically, Figure 4a shows the 40 years average annual frequency of gales in the South China Sea, and Figure 4b indicates the change rate of N g from 1979 to 2018.…”

Section: Annual Variationmentioning

confidence: 99%

“…SST, sea surface temperature; SWH, significant wave height. were primarily influenced by ENSO events, which were hard to predict (Wang et al, 2020). The MSFDNN utilized sine functions to decomposed the historical data of SWH and learn the data change periodic law; it might not be sensitive to the swell caused by ENSO events.…”

Section: 1029/2020jc017144mentioning

confidence: 99%

“…Section 3 initially discusses variation in annual and monthly SWH between 1979 and 2018 across the study area. Moreover, considering the influence of wind speed and sea surface temperature (SST) on SWH (Shimura et al., 2015; Wang et al., 2020), the relationships between SWH and wind speed as well as SST are discussed here. Besides, the performance of the MSFDNN at forecasting, monthly SWH is also presented in Section 3.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Prediction of Significant Wave Height in the Beibu Gulf, South China Sea

Wang

Liu

et al. 2021

JGR Oceans

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The Beibu Gulf is located in the southwest of China, to the northwest of the South China Sea. This gulf is a typical semi-closed sea area and lies on the continental shelf. The mean water depth within the Beibu Gulf is about 46 m and the maximum value is no more than 100 m (Chen et al., 2011; Zhou et al., 2015). This gulf is also perennially exposed to the northeast and southwest monsoonal influences and typhoons pass by almost every year. The Beibu Gulf is managed jointly by China and Vietnam and is one of the best fishing grounds for the former and an important seaport in southwest China (Shao et al., 2018; Yu & Mu, 2006). Ocean waves exert significant impacts on fishing and oil platform safety within the Beibu Gulf (Yan et al., 2013, 2015). Waves are also essential factors for inducing disasters, based on wave data obtained from buoys within the Beibu Gulf between 2015 and 2018 and data show that ocean wave disasters refer to the wave height up to 6 m and mainly induced by typhoons and cold air took place 2.5 times per year on average and even four times in 2016 in the Beibu Gulf (Su et al., 2019). Wave height is an essential element that can be used to describe waves; its monitoring and acquisition are of great significance. Few studies have so far been performed on wave height prediction for the Beibu Gulf area. Studies aimed at forecasting significant wave height (SWH) within the Beibu Gulf are vital for fishery breeding and boat travel (Chen et al., 2009; Fu et al., 2019). Ocean waves are common phenomena and vital components of physical oceanography. External factors, including kinetic and physical processes and boundary conditions, all affect the generation, development, and extinction of ocean waves. Several numerical models have, therefore, been established and used to calculate and predict waves state. The WAM model, a third-generation wave approach, was proposed in 1988 for ocean wave prediction (Group, 1988). Subsequent to the development of computer technology, WAVE WATCH III was then presented based on the WAM model (Tolman, 2009) and was applicable to open ocean field predictions. Another classical third-generation wave model, simulation waves near shore (SWAN), was also applicable to wave prediction in coastal regions (Booij et al., 1999). These three models all exhibit excellent performance in wave height forecasting (

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Annual Variationmentioning

confidence: 99%

Section: 1029/2020jc017144mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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