Numerical Study of Monsoon Effect on Green Island Wake

Hsu, Todd; Doong, Dong Jiing; Hsieh, Kai Jiun; Liang, Shin Jye

doi:10.2112/jcoastres-d-14-00206.1

Cited by 9 publications

(19 citation statements)

References 36 publications

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“…When an ocean vortex forms, observations from the moored acoustic Doppler current profiler (ADCP) suggest that the velocity on the western side of Green Island increases [8]. In addition, the IOVT shows variability under wind forcing [8,13]. Southerly wind helps the wake expand because it lies in the same direction as the incoming current, while the northerly wind compresses the development of the wake [8,13].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the IOVT shows variability under wind forcing [8,13]. Southerly wind helps the wake expand because it lies in the same direction as the incoming current, while the northerly wind compresses the development of the wake [8,13]. The island wakes influence the area of SST drops, which could extend 35 km downstream of Green Island, and vortex shedding could propagate as far as 80 km downstream of the island [9].…”

Section: Introductionmentioning

confidence: 99%

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Temporal Variation and Spatial Structure of the Kuroshio-Induced Submesoscale Island Vortices Observed from GCOM-C and Himawari-8 Data

Hsu

Lee

et al. 2020

Remote Sensing

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Dynamics of ocean current-induced island wake has been an important issue in global oceanography. Green Island, a small island located off southeast of Taiwan on the Kuroshio path was selected as the study area to more understand the spatial structure and temporal variation of well-organized vortices formed by the interaction between the Kuroshio and the island. Sea surface temperature (SST) and chlorophyll-a (Chl-a) concentration data derived from the Himawari-8 satellite and the second generation global imager (SGLI) of global change observation mission (GCOM-C) were used in this study. The spatial SST and Chl-a variations in designed observation lines and the cooling zone transitions on the left and right sides of the vortices were investigated using 250 m spatial resolution GCOM-C data. The Massachusetts Institute of Technology general circulation model (MITgcm) simulation confirmed that the positive and negative vortices were sequentially detached from each other in a few hours. In addition, totals of 101 vortexes from July 2015 to December 2019 were calculated from the 1-h temporal resolution Himawari-8 imagery. The average vortex propagation speed was 0.95 m/s. Totals of 38 cases of two continuous vortices suggested that the average vortex shedding period is 14.8 h with 1.15 m/s of the average incoming surface current speed of Green Island, and the results agreed to the ideal Strouhal-Reynolds number fitting curve relation. Combined with the satellite observation and numerical model simulation, this study demonstrates the structure of the wake area could change quickly, and the water may mix in different vorticity states for each observation station.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temporal Variation and Spatial Structure of the Kuroshio-Induced Submesoscale Island Vortices Observed from GCOM-C and Himawari-8 Data

Hsu

Lee

et al. 2020

Remote Sensing

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“…A shallow water model based on the shallow water equations and the space-time least-squares finite-element method has been developed. The model has been applied to study the hydrodynamics of Kuroshio and Green Island wakes with a small computational domain (72 km × 156 km) and coarse mesh resolution [19,25] (500-3500 m). The spatial and temporal scales of meandering downstream Green Island wakes have been quantified and compared with the in-situ measurements and satellite images.…”

Section: Discussionmentioning

confidence: 99%

“…Chen [24] proposed a conceptual design for the Kuroshio power plant. The assessment of the potential Kuroshio power test site has been performed using the in-situ measurements and modeling by Hsu et al [25]. Safety, maintenance and operations of the Kuroshio power plant may be subjected to impacts from earthquakes, typhoons, climate change, and other natural factors.…”

mentioning

confidence: 99%

“…To prevent the potential damages caused by typhoon-driven waves, meandering vortex shedding, and the cavitation occurring on the surface of turbine blades, turbines and platforms should be submerged several tens of meters below the water surface. The effect of monsoon on the Green Island wakes has been previously studied [25,26]. The effect of typhoon on the Kuroshio and Green Island wakes is presented using a high resolution (250-2250 m) shallow water equations (SWEs) model in this study.…”

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confidence: 99%

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Typhoon Effect on Kuroshio and Green Island Wakes: A Modelling Study

et al. 2018

Self Cite

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Green Island, located in the typhoon-active eastern Taiwan coastal water, is the potential Kuroshio power plant site. In this study, a high resolution (250-2250 m) shallow-water equations model is used to investigate the effect of typhoon on the hydro-dynamics of Kuroshio and Green Island wakes. Two typhoon-Kuroshio interactions-typhoon Soulik and Holland's typhoon model-are studied. Simulation results of typhoon Soulik indicate salient characteristics of Kuroshio, and downstream island wakes seems less affected by the typhoon Soulik, because the shortest distance of typhoon Soulik is 250 km away from Green Island and wind speed near Green Island is small. Moreover, Kuroshio currents increase when flow is in the same direction as the counterclockwise rotation of typhoon, and vice versa. This finding is in favorable agreement with the TOROS (Taiwan Ocean Radar Observing System) observed data. Simulations of Kuroshio and Holland's typhoon model successfully reproduces the downstream recirculation and vortex street. Numerical results reveal that the slow moving typhoon has a more significant impact on the Kuroshio and downstream Green Island wakes than the fast moving typhoon does. The rightward bias phenomenon is evident-Kuroshio currents increase (decrease) in the right (left) of the moving typhoon's track, due to the counterclockwise rotation of typhoon.

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Fourth-Order Conservative Transport on Overset Grids Using Multi-Moment Constrained Finite Volume Scheme for Oceanic Modeling

Peng

Dai

et al. 2020

J. Ocean Univ. China

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Numerical Study of Monsoon Effect on Green Island Wake

Cited by 9 publications

References 36 publications

Temporal Variation and Spatial Structure of the Kuroshio-Induced Submesoscale Island Vortices Observed from GCOM-C and Himawari-8 Data

Temporal Variation and Spatial Structure of the Kuroshio-Induced Submesoscale Island Vortices Observed from GCOM-C and Himawari-8 Data

Typhoon Effect on Kuroshio and Green Island Wakes: A Modelling Study

Fourth-Order Conservative Transport on Overset Grids Using Multi-Moment Constrained Finite Volume Scheme for Oceanic Modeling

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