Authors: You, Sung Hyup¹; Seo, Jang-Won²

Source: Marine Geodesy, Volume 32, Number 2, April 2009 , pp. 243-263(21)

Publisher: Taylor and Francis Ltd

Abstract:

In this study, a two-dimensional storm surges/tide prediction model called the Storm surges/Tide Operational Model (STORM) was developed and applied as the operational forecast model of the Korea Meteorological Administration (KMA). STORM has good horizontal resolution (8 km) and accounts for the interaction between tides and storm surges. This model has been implemented for the northwestern Pacific Ocean including the area around the Korean Peninsula. To examine the model performance, a hindcasting experiment was carried out for Typhoon Maemi. The results showed good agreement between the simulation and observation. The operational model results were also verified for two years (June 2005-June 2007) using observed sea level data from tidal stations around the Korean Peninsula. Comparisons of modeled and observed sea level revealed larger differences at the western coast of Korea than at the southern and eastern coasts. The seasonal variations of bias and root mean square error (RMSE) between the modeled and observed sea levels generally showed small differences in summer and large differences in winter. The average bias, RMSE, and correlation coefficients for 12 total stations between modeled and observed values were -0.13 m (-0.14 m), 0.47 m (0.47 m), and 0.79 (0.78) for 24-hour (48-hour) forecasts.

Keywords: STORM; bias; correlation; RMSE; hindcasting; verification

Document Type: Research article

DOI: http://dx.doi.org/10.1080/01490410902869656

Affiliations: 1: Global Environment System Research Laboratory, National Institute of Meteorological Research/Korea Meteorological Administration, Korea 2: Marine Meteorology Division, Korea Meteorological Administration, Korea

Publication date: 2009-04-01

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