Atmospheric pressure‐forced subinertial variations in the transport through the Korea Strait

Lyu, Sang Jin; Kim, Kuh; Perkins, Henry

doi:10.1029/2001gl014366

Cited by 35 publications

(42 citation statements)

References 8 publications

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“…Lyu et al (2002) showed that fluctuations of the transport in the KS on a synoptic time scale are derived by the nonisostatic response of sea level variation in the EJS, which acts like a forced oscillator amplifying Helmholtz-like resonance in period of about 3-5 days in the EJS. Recently, using a numerical model with idealized atmospheric forcing Kang et al (2014) elucidated that the wind-and pressuredriven transport explains about 60% and 40% of the transport variability induced by the typical synoptic weather system.…”

Section: Wind Forcingmentioning

confidence: 99%

“…We may consider the transport fluctuations driven by non-isostatic response of synoptic sea level variations in the EJS due to atmospheric pressure variations (Lyu et al 2002;Nam et al 2004;Lyu and Kim, 2005) as another physical process affecting current variability at station M1. Lyu et al (2002) showed that fluctuations of the transport in the KS on a synoptic time scale are derived by the nonisostatic response of sea level variation in the EJS, which acts like a forced oscillator amplifying Helmholtz-like resonance in period of about 3-5 days in the EJS.…”

Section: Wind Forcingmentioning

confidence: 99%

“…The propagating Kelvin wave changes the synoptic scale sea level slope across the strait and alters barotropic geostrophic transport in the KS. On the other hand, Lyu et al (2002) and Lyu and Kim (2005) suggested that atmospheric pressure variations in the EJS can drive the transport fluctuations on a synoptic time scale. Recently, using a two-dimensional numerical model with idealized atmospheric forcing Kang et al (2014) explained how the wind-driven and pressure-driven transports account for about 60% and 40%, respectively, of the transport variability in response to the changes in a typical synoptic weather system.…”

Section: Introductionmentioning

confidence: 97%

“…Potential forces influencing the transport variations in the KS have been considered to be remote wind stress, local steric variation, baroclinicity, atmospheric pressure variation and the sea *Corresponding author. E-mail: sghlee@kunsan.ac.kr Article level difference between the Pacific Ocean and the EJS Isobe 1994;Nof 1993Nof , 2000Lyu et al 2002;Kang et al 2014;Cho et al 2013). Previous studies suggest that primary mechanisms controlling the variations of transport through the KS are different depending on time scales of variability.…”

Section: Introductionmentioning

confidence: 97%

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Vertical structure and variation of currents observed in autumn in the Korea Strait

Lee

Choi

2015

Ocean Sci. J.

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 To observe vertical structure and temporal variations of currents in the Tsushima Warm Current region of the Korea Strait, a moored buoy system was deployed in autumn 2009. The moored buoy system measured vertical profiles of current, temperature, and salinity for 24 days and a background hydrographic survey was performed. Along-strait northeastward currents were dominant in the upper layer (8-35 m). The mean current veers counterclockwise from 48 m to 74 m as much as 50°, and its speed is reduced with depth. There were distinct northward onshore currents near the bottom (65-80 m). It was demonstrated that thermal wind relation holds in the inclined pycnocline layer, which generates the counterclockwise veering current structure. Density gradient along the strait is a main factor producing the cross-strait onshore current component below the upper-layer and the cross-strait density gradient reduces the along-strait current component with depth. Previous studies have never focused on the effect of the along-strait density structure on current structure. The first Empirical Orthogonal Function mode (CM1) of current variability explains 70% of local current variations and its vertical structure is close to the mean current structure. The correlation analysis among variations of CM1 current, slope of sea level anomaly (SSLA) and local wind anomaly revealed that the variation of CM1 current is mainly related to the variation of SSLA across the strait (c-SSLA), which is known to be controlled by remote and local wind forcing. Similarity between vertical structures of mean and CM1 current suggests that thermal wind relation is the main dynamics maintaining the counterclockwise turning of CM1 current below the upper layer although the upperlayer CM1 current is controlled by c-SSLA through barotropic geostrophic relation. Time series of temperature and salinity indicate that the thermohaline front between Korean Coastal Water and Tsushima Warm Current Water meanders in time and migrates over the mooring station back and forth. The front meandering and migration also affect the local SSLA and CM1 current variations in autumn in the Korea Strait.

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Section: Wind Forcingmentioning

confidence: 99%

Section: Wind Forcingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

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Vertical structure and variation of currents observed in autumn in the Korea Strait

Lee

Choi

2015

Ocean Sci. J.

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“…However, the sea level response to atmospheric pressure is nonisostaic at high frequencies due to the limit imposed by the strait on volume exchange in the semi-enclosed sea, i.e., the East (Japan) Sea [1], Mediterranean Sea [2]- [4], and Black Sea [5]. In the East Sea, this response at period of 3-5 days was observed in the volume transport through the Korea Strait [1], spatially-averaged tide-gauge sea level [1], [6], and bottom pressure measurements [6]- [7] obtained in the southwestern part of the East Sea ( Figure 1). A simple analytic model produced by [1] can explain nonisostatic sea level response to atmospheric pressure caused by the Helmholtzlike resonance between the East Sea and the Pacific Ocean at period of 3.3 days.…”

Section: Introductionmentioning

confidence: 99%

Corrections of altimetry data for nonisostatic sea level response to atmospheric pressure in the East (Japan) Sea

Nam¹,

Lyu²,

Kim³

et al.

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.

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Correction of various satellite altimetry data (from TOPEX, ERS, Jason-1, ENVISAT, and GFO) with a simple analytic model, accounting for the nonisostatic sea level response to atmospheric pressure in the East (Japan) Sea, reduces aliasing effects and trackiness errors better than the standard inverted barometric (IB) correction. The rms difference between the two corrections is 2-3 cm with maximum difference of up to 15 cm (mostly during winter). The model correction reduces more trackiness compared to the IB correction. The differences between the two corrections cannot be eliminated with merging multiple-satellite altimetry data in the East Sea even though they are slightly reduced through the merging process.0-7803-9050

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The oceanic response of the Turkish Straits System to an extreme drop in atmospheric pressure

et al. 2014

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Moorings across all four entry/exit sections of the Dardanelles Strait and the Bosphorus Strait simultaneously measured the response of the Turkish Straits System to the passage of a severe cyclonic storm that included an atmospheric pressure drop of more than 30 mbar in less than 48 h. The bottom pressure response at the Aegean Sea side of the Dardanelles Strait was consistent with an inverted barometer response, but the response at the other sections did not follow an inverted barometer, leading to a large bottom pressure gradient through the Turkish Straits System. Upper-layer flow toward the Aegean Sea was reversed by the storm and flow toward the Black Sea was greatly enhanced. Bottom pressure across the Sea of Marmara peaked 6 h after the passage of the storm's minimum pressure. The response on the Dardanelles side was a combination of sea elevation and pycnocline depth rise, and the response on the Bosphorus side was an even greater sea elevation rise and a drop in pycnocline depth. The peak in bottom pressure in the Sea of Marmara was followed by another reverse in the flow through the Dardanelles Strait as flow was then directed away from the Sea of Marmara in both straits. A simple conceptual model without wind is able to explain fluctuations in bottom pressure in the Sea of Marmara to a 0.89-0.96 level of correlation. This stresses the importance of atmospheric pressure dynamics in driving the mass flux of the Turkish Strait System for extreme storms.

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Atmospheric pressure‐forced subinertial variations in the transport through the Korea Strait

Cited by 35 publications

References 8 publications

Vertical structure and variation of currents observed in autumn in the Korea Strait

Vertical structure and variation of currents observed in autumn in the Korea Strait

Corrections of altimetry data for nonisostatic sea level response to atmospheric pressure in the East (Japan) Sea

The oceanic response of the Turkish Straits System to an extreme drop in atmospheric pressure

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