2021
DOI: 10.3390/jmse9101040
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Interconnection between the Southern South China Sea and the Java Sea through the Karimata Strait

Abstract: This study aims to investigate the interconnection between the southern South China Sea (SSCS) and Java Sea (JS) by simulating seasonal circulations and associated transports using the Regional Ocean Modelling System (ROMS). The seasonal circulation was predominantly driven by monsoonal wind stress and water exchanges between the SSCS and the JS. During the boreal winter, cooler and saltier waters from the SSCS were advected into the JS, while during the boreal summer, cooler waters from the JS were advected i… Show more

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Cited by 16 publications
(20 citation statements)
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“…The CMEMS was used to act as our data for modeling because CMEMS assimilates a number of observation data sources, and previous findings indicated that the data assimilation technique can produce a reliable dataset (Edwards et al, 2015;Martin et al, 2015). Indeed, numerous studies employed the CMEMS to evaluate their observational data or produced ocean model in ECS and South China Sea (Lin et al, 2017;Lee et al, 2020;Sun et al, 2020b;Kok et al, 2021;Wu et al, 2021). Three topographic variables and six oceanographic variables were extracted for each position and date of the survey dataset, all variables were downscaled using a bilinear interpolation to match our fisheries data.…”
Section: Environmental Datamentioning
confidence: 99%
“…The CMEMS was used to act as our data for modeling because CMEMS assimilates a number of observation data sources, and previous findings indicated that the data assimilation technique can produce a reliable dataset (Edwards et al, 2015;Martin et al, 2015). Indeed, numerous studies employed the CMEMS to evaluate their observational data or produced ocean model in ECS and South China Sea (Lin et al, 2017;Lee et al, 2020;Sun et al, 2020b;Kok et al, 2021;Wu et al, 2021). Three topographic variables and six oceanographic variables were extracted for each position and date of the survey dataset, all variables were downscaled using a bilinear interpolation to match our fisheries data.…”
Section: Environmental Datamentioning
confidence: 99%
“…where, T i,k and r i,k represent the average temperature and density of each grid respectively. T 0 is the reference temperature, which is set to 3.72 °C (Fang et al, 2010;Kok et al, 2021), and specific heat capacity C p is 3.89 × 10 3 J kg −1 °C−1 . To accurately calculate the heat transport through the KS, the temperature profile at each station is calculated based on the bottom temperature observed from the TRBMs and the SST remote sensing data.…”
Section: Volume and Heat Transportsmentioning
confidence: 99%
“…For convenience, the two straits are generally referred to as the KS (Wang et al, 2019;Xu et al, 2021). The water is of lower sea surface temperature (SST) and higher sea surface salinity in the southern SCS than that in the JS during boreal winter (hereinafter referred to as winter), and vice versa during boreal summer (hereinafter referred to as summer) (Kok et al, 2021). In winter, the SCS water flows southward through the KS and the JS and ultimately drains into the Indonesian throughflow (ITF) (Fang et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
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