Sea surface temperature (SST) is an important component of climate and weather systems at various time scales.Asymmetric seasonal SST variations in the Northwestern Pacific Marginal Seas (NWPMS) are investigated in this study using observation data and numerical model results.The asymmetry in SST seasonal variation is estimated quantitatively and compared with heat advection and surface net heat flux using SST data and atmospheric variables from the European Centre for Medium-Range Weather Forecast (ECMWF).The SST increases faster than it decreases, whereas air temperature increases slowly.Heat advection and surface heat flux were estimated using numerically modeled SST and ocean currents, which contribute to the asymmetry of seasonal SST variations.Heat advection shows good correlation with the SST seasonal variation asymmetry.Model results without currents along the boundary show more symmetrical SST variations.This suggests that heat advection is a prominent cause of asymmetry in the seasonal variation.
This study analyzed the characteristics of the wind waves near the Korean marginal seas in the 2002 - 2005 year using the third generation wave model, WAVEWATCH - III model. In order to investigate the model performance, model results were compared with the marine meteorological observation results. The 4 years average correlation coefficient between model and observation shows very high value of about 0.77. The model of this study represents very well the characteristics of wind waves near the Korean marginal seas. Simulated monthly sea surface winds and wind waves show the evident spatial variations and this model also simulates very well seasonal characteristics of wind waves in this region.
Kim, M.-S.; Eom, H.; Lim, E.-P.; Lee, C.-K.; You, S.H., and Woo, S.-B., 2020. Method for detection of meteotsunami propagation in the Yellow Sea: Reported cases. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1134–1139. Coconut Creek (Florida), ISSN 0749-0208.A new method for the detection of meteotsunami propagation using tide gauge data is described. This method is aimed to prevent disasters caused by meteotsunamis approaching from an unexpected direction. Three reported meteotsunami cases (31 March 2007, 4 May 2008, and 26 April 2011) in the Yellow Sea were analyzed to confirm the adequacy of the proposed propagation algorithm. In the March 31 case, the meteotsunamis propagated eastward at a speed of about 23.8-10.4 m/s from the WNW direction. On May 4, 2008, the meteotsunamis moved toward the accident area from the southwest coast of Korea at a speed of about 27.8-10.9 m/s. The meteotsunamis of 26 April 2011 were focused on the southern part of the Yellow Sea, especially at DaeHeuksando (DH) harbor. In comparison with the result of previous studies, the propagation results calculated using the proposed algorithm showed a similar propagation pattern and a reasonable endpoint toward the point where the accident occurred. By using data from the existing tide gauges, this method for the detection of a meteotsunami propagation can track propagation patterns that vary with time and space. It is expected to be useful when developing a meteotsunami warning system.
Abstract The vertical structure of meridional eddy heat transport (EHT) of the North Pacific was investigated by analyzing the results from an eddy-resolving ocean general circulation model (OGCM) with a horizontal resolution of , while comparing with previous simulation results and observation data. In particular, the spatial and temporal variation of the effective depth of EHT He was investigated, which is defined by the depth integrated EHT (D-EHT) divided by EHT at the surface. It was found that the annual mean value of He is proportional to the eddy kinetic energy (EKE) level at the surface in general. However, its seasonal variation is controlled by the mixed layer depth (MLD) in the extratropical ocean (>20°N). Examination of the simulated eddy structures reveals that the temperature associated with mesoscale eddies is radically modified by the surface forcing in the mixed layer, while the velocity field is not, and the consequent enhanced misalignment of temperature and velocity anomalies leads to the radical change of EHT across the seasonal thermocline.
This study compared the sea surface wind pattern between model results from KMA operational model (RDAPS) and retrieved results from QuickSCAT in the 2006-2007 year. The mean spatial distributions of sea surface wind of RDAPS and QuikSCAT show the prominent seasonal patterns of summer and winter season adjacent to Korean Peninsular. The magnitude of sea surface wind predicted by RDAPS is weaker than that of QuikSCAT in most north Pacific ocean. In summer of 2006 positive bias with the maximum of 1 m/s is appeared in broad region of north Pacific ocean, however. the positive bias region is decreased to small region in 2007. Even though the predicted sea wind by RDAPS is stronger(weaker) than observed one by QuikSCAT in summer (winter), the RDAPS model simulate well the sea surface wind adjacent to Korean peninsular.
'%3e%3cg id='b'%3e%3cpath id='a' stroke='%23000' stroke-width='2' d='M-6-25H6m-12 3H6m-12 3H6'/%3e%3cuse xlink:href='%23a' y='44'/%3e%3c/g%3e%3cpath stroke='%23fff' d='M0 17v10'/%3e%3ccircle r='12' fill='%23cd2e3a'/%3e%3cpath fill='%230047a0' d='M0-12A6 6 0 0 0 0 0a6 6 0 0 1 0 12 12 12 0 0 1 0-24z'/%3e%3c/g%3e%3cg transform='rotate(-123.69)'%3e%3cuse xlink:href='%23b'/%3e%3cpath stroke='%23fff' d='M0-23.5v3M0 17v3.5m0 3v3'/%3e%3c/g%3e%3c/svg%3e)