Impact of the Initial Conditions from an Atmospheric Model on a Wave Forecast System SCIE SCOPUS

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Title
Impact of the Initial Conditions from an Atmospheric Model on a Wave Forecast System
Author(s)
Choi, Jin-Yong; Heo, Ki-Young
KIOST Author(s)
Choi, Jin Yong(최진용)Heo, Ki Young(허기영)
Alternative Author(s)
최진용; 허기영
Publication Year
2019-08
Abstract
This study aimed to improve the accuracy of dangerous wave prediction, using the example of the Korean east coast. Generally, the accuracy of wave prediction depends on the accuracy of weather prediction. Therefore, we attempted to improve the performance of a weather model by improving its initial conditions. In this study, two initial weather conditions obtained from an atmospheric weather model were employed, to simulate high, swell-like waves, in the East Sea. In the first simulation, the Weather Research and Forecasting (WRF) model was run for 72 h, from a cold-start, cycling a 3D-Var data assimilation through, every 3 h, from the start time to +6 h (a "cold-start" run). In the second simulation, the WRF model was run for 78 h from cold-start, cycling the 3D-Var data assimilation every 3 h from -6 h to +6 h, in a simulation called a "hot-start" run. The WRF model was initialized using boundary conditions from the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS), and SWAN 41.10 was used for the wave model. Based on observational data collected over six months, the error in the "hot-start" prediction run was reduced by approximately 5%, in comparison with the "cold start" run.
ISSN
0749-0208
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/749
DOI
10.2112/SI91-027.1
Bibliographic Citation
JOURNAL OF COASTAL RESEARCH, v.91, no.sp1, pp.131 - 135, 2019
Publisher
COASTAL EDUCATION & RESEARCH FOUNDATION
Keywords
Wave forecasting; swell-like waves; East Sea
Type
Article
Language
English
Document Type
Article; Proceedings Paper
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