Horizontal variations of typhoon-forced near-inertial oscillations in the south China sea simulated by a numerical model

Xu, Jiexin; Huang, Yandan; Chen, Zhiwu; Liu, Junliang; Liu, Tongya; Li, Juan; Cai, Shuqun; Ning, Dezhi

doi:10.1016/j.csr.2019.05.003

Cited by 14 publications

(12 citation statements)

References 34 publications

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“…Moreover, there is a time lag between the maximum near-inertial current and maximum NIWS. The maximum NIWS arrives about 15 hours prior to the maximum near-inertial current, which is comparable with the observational result by Xu et al [59].…”

Section: Sensitivity Experiments and Analysissupporting

confidence: 91%

“…near-inertial current and maximum NIWS. The maximum NIWS arrives about 15 hours prior to the maximum near-inertial current, which is comparable with the observational result by Xu et al [59]. To further investigate the optimal translation speed for the NIWS, the power spectral densities (PSDs) of the wind stress at location A are shown in Figure 10.…”

Section: Sensitivity Experiments and Analysissupporting

confidence: 81%

“…Oceanic response to a typhoon is usually examined through investigating the external parameters of a typhoon, e.g., translation speed, radius of maximum wind speed (size), occurring latitude, maximum wind speed, etc. [13,19,[57][58][59]. As noted, the magnitude and rotary frequency of wind speed play critical roles in determining the intensity of oceanic near-inertial response [18].…”

Section: Relationship Among Nike Niws and Typhoon Parametersmentioning

confidence: 95%

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Correlation of Near-Inertial Wind Stress in Typhoon and Typhoon-Induced Oceanic Near-Inertial Kinetic Energy in the Upper South China Sea

Liu

et al. 2019

Atmosphere

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The correlation of near-inertial wind stress (NIWS) in typhoon and typhoon-induced oceanic near-inertial kinetic energy (NIKE) in the upper South China Sea (SCS) is investigated through reanalysis data and an idealized typhoon model. It is found that the typhoon-induced oceanic near-inertial currents are primarily induced by the NIWS, which may contribute to about 80% of the total NIKE induced by typhoon. The intensities and distributions of NIWS in most typhoons are consistent with the magnitudes and features of NIKE. The NIWS and the NIKE along the typhoon track have positive correlations with the maximum wind speed of a typhoon, but there is an optimal translation speed for NIWS, at which the wind energy of the near-inertial band reaches its maximum. In the idealized typhoon model, a cluster of high-value centers of NIWS appear along the typhoon track, but there is only one high-value center for the near-inertial currents. The maximum NIWS arrives about 15 hours prior to the maximum near-inertial current. The distribution of NIWS is apparently asymmetric along the typhoon track, which may be due to the smaller eastward component of wind energy.

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Section: Sensitivity Experiments and Analysissupporting

confidence: 91%

Section: Sensitivity Experiments and Analysissupporting

confidence: 81%

Section: Relationship Among Nike Niws and Typhoon Parametersmentioning

confidence: 95%

See 1 more Smart Citation

Correlation of Near-Inertial Wind Stress in Typhoon and Typhoon-Induced Oceanic Near-Inertial Kinetic Energy in the Upper South China Sea

Liu

et al. 2019

Atmosphere

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“…The numerical model used in this study was a three-dimensional version of the Price-Weller-Pinkel model (3DPWP) [54,55], which has been used successfully in previous studies to simulate and understand the physical processes involved in the oceanic response to a TC [15][16][17]22,[56][57][58]. The model domain used here spans 1200 km in the across-track direction and 5600 km in the along-track direction, with a horizontal resolution of 8 km and a vertical resolution of 10 m with the ocean depth of 1450 m. The time resolution is 120 s. The model starts from rest, and the initial temperature and salinity were set to be horizontally homogeneous using the average profiles from Station 2 during UTC 00:00 on 14 October to UTC 00:00 on 16 October for Sarika and during UTC 00:00 on 18 October to UTC 00:00 on 20 October for Haima (see Figure 2).…”

Section: Typhoons Sarika and Haimamentioning

confidence: 99%

“…The strong wind stress of a tropical cyclone induces a significant near-inertial horizontal current [15][16][17][18][19]. The near-inertial current normally decays within 5-20 inertial periods and propagates both horizontally and vertically in the ocean [20,21].…”

Section: Introductionmentioning

confidence: 99%

Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array

Zhang

Liu

et al. 2019

Remote Sensing

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Tropical cyclones (TCs) are natural disasters for coastal regions. TCs with maximum wind speeds higher than 32.7 m/s in the north-western Pacific are referred to as typhoons. Typhoons Sarika and Haima successively passed our moored observation array in the northern South China Sea in 2016. Based on the satellite data, the winds (clouds and rainfall) biased to the right (left) sides of the typhoon tracks. Sarika and Haima cooled the sea surface ~4 and ~2 °C and increased the salinity ~1.2 and ~0.6 psu, respectively. The maximum sea surface cooling occurred nearly one day after the two typhoons. Station 2 (S2) was on left side of Sarika’s track and right side of Haima’s track, which is studied because its data was complete. Strong near-inertial currents from the ocean surface toward the bottom were generated at S2, with a maximum mixed-layer speed of ~80 cm/s. The current spectrum also shows weak signal at twice the inertial frequency (2f). Sarika deepened the mixed layer, cooled the sea surface, but warmed the subsurface by ~1 °C. Haima subsequently pushed the subsurface warming anomaly into deeper ocean, causing a temperature increase of ~1.8 °C therein. Sarika and Haima successively increased the heat content anomaly upper than 160 m at S2 to ~50 and ~100 m°C, respectively. Model simulation of the two typhoons shows that mixing and horizontal advection caused surface ocean cooling, mixing and downwelling caused subsurface warming, while downwelling warmed the deeper ocean. It indicates that Sarika and Haima sequentially modulated warm water into deeper ocean and influenced internal ocean heat budget. Upper ocean salinity response was similar to temperature, except that rainfall refreshed sea surface and caused a successive salinity decrease of ~0.03 and ~0.1 psu during the two typhoons, changing the positive subsurface salinity anomaly to negative

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Numerical simulation of upper ocean responses to Typhoon Maria (2018) in the Northwest Pacific: Behavior of sub-mesoscale processes

Liu,

Han,

2023

Deep Sea Research Part I: Oceanographic Research Papers

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Horizontal variations of typhoon-forced near-inertial oscillations in the south China sea simulated by a numerical model

Cited by 14 publications

References 34 publications

Correlation of Near-Inertial Wind Stress in Typhoon and Typhoon-Induced Oceanic Near-Inertial Kinetic Energy in the Upper South China Sea

Correlation of Near-Inertial Wind Stress in Typhoon and Typhoon-Induced Oceanic Near-Inertial Kinetic Energy in the Upper South China Sea

Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array

Numerical simulation of upper ocean responses to Typhoon Maria (2018) in the Northwest Pacific: Behavior of sub-mesoscale processes

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