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Numerical Simulation of Water Level Change at the Coastal Area in the East Sea with the Inverted Barometer Effect
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 Title & Authors
Numerical Simulation of Water Level Change at the Coastal Area in the East Sea with the Inverted Barometer Effect
Hyun, Sang Kwon; Kim, Sung Eun; Jin, Jae Yull; Do, Jong Dae;
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Sea water level variations are generally influenced by a variety of factors such as tides, meteorological forces, water temperature, salinity, wave, and topography, etc. Among non-tidal conditions, atmospheric pressure is one of the major factors causing water level changes. In the East Sea, due to small tidal range which is opposite to large tidal range of the Yellow Sea, it is difficult to predict water level changes using a numerical model, which consider tidal forcing only. This study focuses on the effects of atmospheric pressure variations on sea level predictions along the eastern coast of Korea. Telemac-2D model is simulated with the Inverted Barometer Effect(IBE), and then its results are analyzed. In comparison between observed data and predictions, the correlation of prediction with IBE and tide is better than that of tide-only case. Therefore, IBE is strongly suggested to be considered for the numerical simulations of sea level changes in the East Sea.
East Sea;inverted barometer effect;tide;water level;telemac;
 Cited by
Asaro, G. and E. Paris (2000). The effects induced by a new embankment at the confluence between two rivers: Telemac results compared with a physical model. Hydrological Processes, 14, 2345-2353. crossref(new window)

Bell, C., J. M. Vassie and P. L. Woodworth (1999). POL/PSMSL Tidal Analysis Sofrware Kit 2000(Task-2000). Permanent Service for Mean Sea Level, CCMS Proudman Oceanographic Laboratory, Bidston Observatory, Birkenhead, Merseyside CH43 7RA, U. K., 20.

Bowden, K. F. (1983). Physical Oceanography of Coastal Waters, Chichester, UK, Ellis Horwood, 302.

Dorandeu, J and P. Y. Le Traon (1999). Effects of Global Mean Atmospheric Pressure Variations on Mean Sea Level Changes from TOPEX/Poseidon. J. Atmos. Oceanic Technol., 16, 1279-1283. crossref(new window)

EDF-R&D (2014). TELEMAC modelling system. 2D hydrodynamics TELEMAC-2D Software Release 7.0 USER MANUAL.

Han, H., Lee, J., and Lee, H. (2013). Accuracy Assessment of Tide Models in Terra Nova Bay, East Antarctica, for Glaciological Studies of DDInSAR Technique. Korean Journal of Remote Sensing, 20(4), 375-387(in Korean).

Hervouet, J.-M. (2000). A high resolution 2-D dam-break model using parallelization. Hydrological Processed, 14, 2211-2230. crossref(new window)

Hervouet, J.-M. (2007). Hydrodynamics of free surface modelling with the finite element method. Wiley

Jung, S.-Y., Yun, J.-Y., Park, T., Lim. S.-H., and Oh, I.S. (2008). Sea Level Variability at a Synoptic Band along the East Coast of Korea and its Causal Mechanism. Journal of the Korean Society of Oceanography, 13(2), 89-105(in Korean).

Kantha, L., K. Whitmer, and G. Born (1994). The inverted barometer effect in altimetry: A study in the North Pacific. TOPEX/ Poseidon Rea. News 2, 18-23.

Kim, H.-K. and Kim, Y.-T. (2013). Characteristics of Spatio-temporal Variability of Daily averaged Tidal Residuals in Korean Coasts. Journal of the Korean Society of Marine Environment & Safety, 19(6), 561-569(in Korean). crossref(new window)

Mstsumoto, K., Takanezawa, T., and Ooe, M. (2000). Ocean tide model developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: A global model and a regional model around Japan. Journal of Oceanography, Vol. 56, 567-581. crossref(new window)

Pugh, D. T. (1987). Tides, Surges and Mean Sea-Level. A handbook of Engineers and Scientists. John Wiley & Sons, 472.

Seo, S.-N. (2008). Digital 30sec Gridded Bathymetric Data of Korea Marginal Seas-KorBathy30s. Journal of Korean Society of Coastal and Ocean Engineers, 20(1), 110-120(in Korean).