LIM Hak-Soo, KIM Chang S, PARK Kwang-Soon, SHIM Jae Seol, CHUN Insik. Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea[J]. Acta Oceanologica Sinica, 2013, 32(9): 50-61. doi: 10.1007/s13131-013-0352-y
Citation: LIM Hak-Soo, KIM Chang S, PARK Kwang-Soon, SHIM Jae Seol, CHUN Insik. Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea[J]. Acta Oceanologica Sinica, 2013, 32(9): 50-61. doi: 10.1007/s13131-013-0352-y

Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea

doi: 10.1007/s13131-013-0352-y
  • Received Date: 2012-03-02
  • Rev Recd Date: 2012-12-10
  • A down-scaled operational oceanographic system is developed for the coastal waters of Korea using a regional ocean modeling system (ROMS). The operational oceanographic modeling system consists of atmospheric and hydrodynamic models. The hydrodynamic model, ROMS, is coupled with wave, sediment transport, and water qualitymodules. The system forecasts the predicted results twice a day on a 72 h basis, including sea surface elevation, currents, temperature, salinity, storm surge height, and wave information for the coastal waters of Korea. The predicted results are exported to the web-GIS-based coastal information system for real-time dissemination to the public and validation with real-time monitoring data using visualization technologies. The ROMS is two-way coupledwith a simulatingwaves nearshoremodel, SWAN, for the hydrodynamics and waves, nested with themeteorologicalmodel,WRF, for the atmospheric surface forcing, and externally nested with the eutrophicationmodel, CE-QUAL-ICM, for the water quality. The operational model, ROMS, was calibrated with the tidal surface observed with a tide-gage and verified with current data observed by bottom-mounted ADCP or AWAC near the coastal waters of Korea. To validate the predicted results, we used real-time monitoring data derived from remote buoy system, HF-radar, and geostationary ocean color imager (GOCI). This down-scaled operational coastal forecasting system will be used as a part of the Korea operational oceanographic system(KOOS) with other operational oceanographic systems.
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  • Bell M J, Forbes R M, Hines A. 2000. Assessment of the FOAM global data assimilation system for real-time operational ocean forecasting. Journal of Marine System, 20: 1-22
    Bell M J, Martin M J, Nichols N K. 2004. Assimilation of data into an ocean model with systematic errors near the equator. Quarterly Journal of the RoyalMeteorological Society, 130: 873-893
    Cerco C F, Cole T. 1993. Three-dimensional eutrophication model for Chesapeake Bay. Journal of Environmental Engineering, 119(6): 1006-1025
    Cerco C F, Tillman D, Hagy J D. 2010. Coupling and comparing a spatially and temporally detailed eutrophication model with an ecosystem networkmodel: an initial application to Chesapeake Bay. EnvironmentalModelling & Software, 25: 562-572
    Choi J K, Park Y J, Ahn J H, et al. 2012. GOCI, the world a?′rs first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity. Journal of Geophysical Research, 117 (C09004)
    Griffies S M, Pacanowski R C, Rosati A. 2004. A technical guide to MOM4. GFDL Ocean Group Technical Report No. 5. NOAA/Geophysical Fluid Dynamics Laboratory, 371
    HaidvogelDB, ArangoH, BudgellWP, et al. 2008. Ocean forecasting in terrain-following coordinates: formulation and skill assessment of the regional ocean modeling system. Journal of Computational Physics, 227: 3595-3624
    Hurlburt H E, Brassington G B, Drillet Y, et al. 2009. High-resolution global and basin-scale ocean analyses and forecasts. Oceanography, 22(3): 110-127
    Kim C S, Lim H S. 2007. Safety criteria on water depth, offshore distance and dredging volume inmarine sandmining operation in Kyunggi-Bay, Korea. Journal of Coastal Research, SI50: 507-510
    Kim C S, Lim H S. 2009. Sediment dispersal and deposition due to sand mining in the coastal waters of Korea. Continental Shelf Research, 29: 194-204
    KimC S, LimH S, KimJ A, et al. 2009. Residual flow and its implication to macro-tidal flats in Kyunggi Bay estuary of Korea. Journal of Coastal Research, SI56: 976-980
    Kim C S, Lim H S, Cerco C F. 2011. Three-dimensional water quality modeling for tidal lake and coastal waters with ROMS-ICM. Journal of Coastal Research, SI60: 1068-1072
    Kwon K M, Choi B J, Lee S H, et al. 2011 Coastal current along the eastern boundary of the Yellow Sea in summer: numerical simulations. Journal of the Korean Society of Oceanography, 16(4): 155-168
    Lim H S, Kim J A, Kim C S, et al. 2011. SOON: the Saemangeum operational oceanography networks. Journal of Coastal Research, SI64: 1095-1100
    Matsumoto K, Takanezawa T, Ooe M. 2000. Ocean tide models developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: a global model and a regional model around Japan. Journal of Oceanography, 55: 569-581
    Mellor G L. 2003. The three-dimensional current and surface wave equations. Journal of Physical Oceanography, 33: 1978-1989
    Mellor G L. 2005. Some consequences of the three-dimensional currents and surface wave equations. Journal of Physical Oceanography, 35: 2291-2298
    Oke P R, Brassington G B, Griffin D A, et al. 2008. The Bluelink ocean data assimilation system (BODAS). OceanModelling, 21: 46-70
    Park K S, Lee J C, Jun K C, et al. 2009. Development of an operational storm surge prediction system for Korean coast. Ocean and Polar Research, 31(4): 369-377
    Ris R C, Booij N,Holthuijsen LH. 1999. A third-generationwavemodel for coastal regions: Partċò: Verification. Journal of Geophysical Research, 104(C4): 7667-7681
    Ryu J H, Choi J K, Eom J, et al. 2011. Temporal variation in Korean coastal waters using geostationary ocean color imager. Journal of Coastal Research, SI60: 1731-1735
    Warner J C, Sherwood C R, Signell R P, et al. 2008, Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model. Computers & Geosciences, 34: 1284-1306
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