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http://dx.doi.org/10.9765/KSCOE.2022.34.6.222

A Study on The Effects of Long-Term Tidal Constituents on Surge Forecasting Along The Coasts of Korean Peninsula  

Jiha, Kim (Forecast Research Department, National Institute of Meteorological Sciences)
Pil-Hun, Chang (Forecast Research Department, National Institute of Meteorological Sciences)
Hyun-Suk, Kang (Forecast Research Department, National Institute of Meteorological Sciences)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.34, no.6, 2022 , pp. 222-232 More about this Journal
Abstract
In this study we investigated the characteristics of long-term tidal constituents based on 30 tidal gauge data along the coasts of Korea and its the effects on total water level (TWL) forecasts. The results show that the solar annual (Sa) and semiannual (Ssa) tides were dominant among long-term tidal constituents, and they are relatively large in western coast of Korea peninsula. To investigate the effect of long-term tidal constituents on TWL forecasts, we produced predicted tides in 2021 with and without long-term tidal constituents. The TWL forecasts with and without long-term tidal constituents are then calculated by adding surge forecasts into predicted tides. Comparing with the TWL without long-term tidal constituents, the results with long-term tidal constituents reveals small bias in summer and relatively large negative bias in winter. It is concluded that the large error found in winter generally caused by double-counting of meteorological factors in predicted tides and surge forecasts. The predicted surge for 2021 based on the harmonic analysis shows seasonality, and it reduces the large negative bias shown in winter when it subtracted from the TWL forecasts with long-term tidal constituents.
Keywords
double-counting; long-term tidal constituents; predicted tide; surge height; total water level forecasts;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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