Applicability Study of a Global Numerical Weather Prediction Model MPAS to Storm Surges and Waves in the South Coast of Korea
نویسندگان
چکیده
The south coast of Korea is vulnerable to coastal disasters, such as storm surges, high waves, wave overtopping, and flooding caused by typhoons. It imperative predict disastrous events accurately in advance, which requires accurate meteorological forcing for ocean modeling. In this study, acquire data important variables the prediction surges we examined forecast performance applicability a next-generation global weather/climate model, Model Prediction Across Scales (MPAS). We compared modeled surface pressure wind with observations on three typhoons that damaged 2020—Bavi, Maysak, Haishen—and investigated accuracy these MPAS prediction. Those were then used tightly coupled tide-surge-wave Advanced CIRCulation (ADCIRC) Simulating Waves Nearshore (SWAN) simulation typhoon-induced surge wave. also performed hindcast using parametric tropical cyclone best-track-based Generalized Asymmetric Holland (GAHM) embedded ADCIRC+SWAN, better understand MPAS. results their terms time-series statistical indices both significant height found forced provides comparable hindcast. Comparable best track information are encouraging because ADCIRC+SWAN an at most four-day lead time still reasonable surges.
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2022
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos13040591