Skip to main content

Advertisement

Log in

What controls the extreme flow through the Kerama Gap: a global HYbrid Coordinate Ocean Model reanalysis point of view

  • Published:
Ocean Dynamics Aims and scope Submit manuscript

Abstract

The temporal variability of volume transport from the North Pacific Ocean to the East China Sea (ECS) through the Kerama Gap (between Okinawa Island and Miyakojima Island—a part of Ryukyu Island Arc) is investigated using a 20-year global HYbrid Coordinate Ocean Model reanalysis with the Navy Coupled Ocean Data Assimilation from 1993 to 2012. We study the causes of extreme flow events defined as the volume transport through the Kerama Gap exceeding one standard deviation (4.50 Sv) above (inflow, from the North Pacific into the ECS) or below (outflow, from the ECS to the North Pacific) the mean volume transport (1.95 Sv). In our results, the impinging mesoscale eddies from the Pacific Ocean are the most important factor in controlling the extreme flow occurrence, explaining 70% (68%) of the mean extreme inflow (outflow)-mean volume transport anomaly. Extreme inflow (outflow) through the Kerama Gap is associated with the impinging anticyclonic (cyclonic) eddies along the eastern side of Okinawa and/or cyclonic (anticyclonic) eddies to the southwest of the gap. The Kuroshio frontal meanders cause the mean Kuroshio axis to shift away from (toward) the Kerama Gap during the extreme inflow (outflow)-mean events and play a secondary role in determining the extreme flow occurrence, representing 15% (14%) of the mean extreme inflow (outflow)-mean volume transport anomaly. The interannual variability of the flow through the gap also plays a subsidiary role, explaining another 13% (14%) of the mean extreme inflow (outflow)-mean volume transport anomaly.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

The numerical output used for this paper can be found on the http://www.hycom.org data server under the “HYCOM + NCODA Global 1/12° Reanalysis” link.

References

  • Andres M, Park J-H, Wimbush M, Zhu X-H, Chang K-I, Ichikawa H (2008a) Study of the Kuroshio/Ryukyu Current system based on satellite-altimeter and in situ measurements. J Oceanogr 64:937–950

    Article  Google Scholar 

  • Andres M, Wimbush M, Park J-H, Chang K-I, Lim B-H, Watts DR, Ichikawa H, Teague WJ (2008b) Observations of Kuroshio flow variations in the East China Sea. J Geophys Res 113:C05013. https://doi.org/10.1029/2007JC004200

    Article  Google Scholar 

  • Andres M, Park J-H, Wimbush M, Zhu X, Nakamura H, Kim K, Chang K-I (2009) Manifestation of the Pacific Decadal Oscillation in the Kuroshio. Geophys Res Lett 36:L16602. https://doi.org/10.1029/2009GL039216

    Article  Google Scholar 

  • Andres M, Cenedese C (2013) Laboratory experiments and observations of cyclonic and anticyclonic eddies impinging on an island. J Geophys Res Oceans 118:762–773. https://doi.org/10.1002/jgrc.20081

    Article  Google Scholar 

  • Bleck R (2002) An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. Ocean Model 4:55–88

    Article  Google Scholar 

  • Chassignet EP, Smith LT, Halliwell GR, Bleck R (2003) North Atlantic simulations with the Hybrid Coordinate Ocean Model (HYCOM): impact of the vertical coordinate choice, reference pressure, and thermobaricity. J Phys Oceanogr 33:2504–2526

    Article  Google Scholar 

  • Choi BH, Kim KO, Eum HM (2002) Digital bathymetric and topographic data for neighboring seas of. Korea J Korean Soc Coastal Ocean Eng 14:41–50

    Google Scholar 

  • Cummings JA (2005) Operational multivariate ocean data assimilation. Q J R Meteorol Soc 131:3583–3604

    Article  Google Scholar 

  • Cummings JA, Smedstad OM (2013) Variational data assimilation for the global ocean. In: Park SK, Xu L (eds) Data assimilation for atmospheric, oceanic, and hydrologic applications, II edn. Springer-Verlag, Berlin Heidelberg. https://doi.org/10.1007/978-3-642-35088-7_13

    Google Scholar 

  • Dewar WK, Bane JM (1985) Subsurface energetics of the Gulf Stream near the Charleston Bump. J Phys Oceanogr 15:1771–1789

    Article  Google Scholar 

  • Farge M (1992) Wavelet transforms and their applications to turbulence. Annu Rev Fluid Mech 24:395–457

    Article  Google Scholar 

  • Fox DN, Teague WJ, Barron CN, Carnes MR, Lee CM (2002) The modular ocean data assimilation system. J Atmos Ocean Technol 19:240–252

    Article  Google Scholar 

  • Hsin Y-C, Qiu B, Chiang T-L, Wu C-R (2013) Seasonal to interannual variations in the intensity and central position of the surface Kuroshio east of Taiwan. J Geophys Res Oceans 118:4305–4316. https://doi.org/10.1002/jgrc.20323

    Article  Google Scholar 

  • Ichikawa K (2001) Variation of the Kuroshio in the Tokara Strait induced by meso-scale eddies. J Oceanogr 57:55–68

    Article  Google Scholar 

  • Ichikawa H, Nakamura H, Nishina A, Higashi M (2004) Variability of northeastward current southeast of northern Ryukyu Islands. J Oceanogr 60:351–363

    Article  Google Scholar 

  • James C, Wimbush M, Ichikawa H (1999) Kuroshio meanders in the East China Sea. J Phys Oceanogr 29:259–272

    Article  Google Scholar 

  • Jin B, Wang G, Liu Y, and Zhang R (2010) Interaction between the East China Sea Kuroshio and the Ryukyu Current as revealed by the self-organizing map. J Geophys Res 115. doi:https://doi.org/10.1029/2010JC006437

  • Kawabe M (1988) Variability of Kuroshio velocity assessed from the sea-level difference between Naze and Nishinoomote. J Oceanogr Soc Jpn 44:293–304

    Article  Google Scholar 

  • Kawabe M (2001) Interannual variations of sea level at Nansei Islands and volume transport of the Kuroshio due to wind changes. J Oceanogr 57:189–205

    Article  Google Scholar 

  • Liu Z, Gan J (2012) Variability of the Kuroshio in the East China Sea derived from satellite altimetry data. Deep-Sea Res 59:25–36

    Article  Google Scholar 

  • Metzger EJ, Smedstad OM, Thoppil PG, Hurlburt HE, Cummings JA, Wallcraft AJ, Zamudio L, Franklin DS, Posey PG, Phelps MW, Hogan PJ, Bub FL, Dehaan CJ (2014) US Navy operational global ocean and Arctic ice prediction systems. Oceanogr. 27:32–43

    Article  Google Scholar 

  • Morinaga K, Nakagawa N, Osamu K, Guo B (1998) Flow pattern of the Kuroshio west of the main Okinawa Island. In: Proceedings of Japan-China Joint Symposium on Cooperative Study of Subtropical Circulation System. Seikai Natl. Fish. Res. Inst., Nagasaki, Japan, pp 203–210

    Google Scholar 

  • Na H, Wimbush M, Park J-H, Nakamura H, Nishina A (2014) Observations of flow variability through the Kerama Gap between the East China Sea and the northwestern Pacific. J Geophys Res Oceans 119:689–703. https://doi.org/10.1002/2013JC008899

    Article  Google Scholar 

  • Nagano A, Ichikawa K, Ichikawa H, Konda M, Murakami K (2009) Synoptic flow structures in the confluence region of the Kuroshio and the Ryukyu Current. J Geophys Res 114. https://doi.org/10.1029/2008JC005213

  • Nakamura H, Nishina A, Liu Z, Tanaka F, Wimbush M, Park J-H (2013) Intermediate and deep water formation in the Okinawa Trough. J Geophys Res Oceans 118:6881–6893. https://doi.org/10.1002/2013JC009326

    Article  Google Scholar 

  • Nitani H (1972) Beginning of the Kuroshio. In Staommel H and Yoshida K (ed) Kuroshio. Univ. of Wash. Press, Seattle

  • Oka E, Kawabe M (1998) Characteristics of variations of water properties and density structure around the Kuroshio in the East China Sea. J Oceanogr 54:605–617

    Article  Google Scholar 

  • Percival DP (1995) On estimation of the wavelet variance. Biometrika 82:619–631

    Article  Google Scholar 

  • Qiu B, Toda T, Imasato N (1990) On Kuroshio front fluctuations in the East China Sea using satellite and in situ observational data. J Geophys Res 95:18191–18204

    Article  Google Scholar 

  • Saha S et al (2010) The NCEP Climate Forecast System Reanalysis. Bull Amer Meteor Soc 91:1015–1057. https://doi.org/10.1175/2010BAMS3001.1

    Article  Google Scholar 

  • Sugimoto T, Kimura S, Miyaji K (1988) Meander of the Kuroshio front and current variability in the East China Sea. J Oceanogr Soc Jpn 44:125–135

    Article  Google Scholar 

  • Thoppil P, Metzger EJ, Hurlburt HE, Smedstad OM, Ichikawa H (2016) The current system east of the Ryukyu Islands as revealed by a global ocean reanalysis. Prog Oceanogr 141:239–258. https://doi.org/10.1016/j.pocean.2015.12.013

    Article  Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79:61–78

    Article  Google Scholar 

  • Yu H, Su J, Miao Y (1993) The low salinity water (LSW) core of Kuroshio in the East China Sea and intrusion of western boundary current (WBC) east of Ryukyu Islands (in Chinese). In: Essays on the investigation of Kuroshio, 5th edn. Ocean Press, Beijing, pp 225–241

    Google Scholar 

  • Yu Z, Metzger EJ, Thoppil P, Hurlburt HE, Zamudio L, Smedstad OM, Na H, Nakamura H, Park J-H (2015) Seasonal cycle of volume transport through Kerama Gap revealed by a 20-year global Hybrid Coordinate Ocean Model reanalysis. Ocean Model 96:203–221. https://doi.org/10.1016/j.ocemod.2015.10.012

    Article  Google Scholar 

  • Yuan Y, Takano K, Pan Z, Su J, Kawatate K, Imawaki S, Yu H, Chen H, Ichikawa H, Umatani S (1994) The Kuroshio in the East China Sea and the currents east of the Ryukyu Islands during autumn 1991. La Mer 32:235–244

    Google Scholar 

  • Yuan Y, Su J, Pan Z, Chen H, Ichikawa H, Imawaki S, Kawatate K, Takano K, Umatani S-I (1995) The western boundary current east of the Ryukyu Islands. La Mer 33:1–11

    Google Scholar 

  • Zheng XT, Liu QY, Hu HB, Miyazawa Y, Jia YL (2008) The study of temporal and spatial characteristics of western boundary current east of Ryukyu submarine ridge and the transport of Kuroshio in East China Sea (in Chinese). Acta Oceanol Sin 30:1–9

    Article  Google Scholar 

  • Zhou W, Yu F, Nan F (2017a) Water exchange through the Kerama Gap estimated with a 25-year Pacific HYbrid Coordinate Ocean Model. Chin J Oceanol Limnol 35:1287–1302. https://doi.org/10.1007/s00343-017-6141-2

    Article  Google Scholar 

  • Zhou W, Yu F, and Nan F (2017b) Water exchange via the Kerama Gap affects salinity of the Kuroshio (in Chinese). Oceanol Limnol Sin Doi:https://doi.org/10.11693/hyhz20170200038

  • Zhu X-H, Ichikawa H, Ichikawa K, Takeuchi K (2004) Volume transport variability southeast of Okinawa Island estimated from satellite altimeter data. J Oceanogr 60:953–962

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank the anonymous reviewers for their input to improve the original manuscript. Computer time was provided by the Department of Defense (DoD) High Performance Computing Modernization Program and the simulations were performed on IBM Power 6 (daVinci) and IBM iDataPlex (Kilrain) at the Navy DoD Supercomputing Resources Center, Stennis Space Center, MS. This is NRL contribution NRL/JA/7320-18-4062. It has been approved for public release and distribution is unlimited. We wish to thank Dr. Jim Richman at Florida State University for his valuable suggestions.

Funding

This effort was funded by the “6.1 Kuroshio and Ryukyu Current Dynamics” project sponsored by the Office of Naval Research under program element 0601135N. Z. Y. was supported by a Post-Doctoral Fellowship from the American Society for Engineering Education, with funding provided by the Naval Research Laboratory, Stennis Space Center, MS.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhitao Yu.

Additional information

Responsible Editor: Pierre De Mey-Frémaux

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, Z., Metzger, E.J., Hurlburt, H.E. et al. What controls the extreme flow through the Kerama Gap: a global HYbrid Coordinate Ocean Model reanalysis point of view. Ocean Dynamics 69, 899–911 (2019). https://doi.org/10.1007/s10236-019-01284-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10236-019-01284-0

Keywords

Navigation