Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III
A regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensitivity of the interaction between input wind a...
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/5/1038 |
| _version_ | 1797599487724617728 |
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| author | Min Roh Sang-Myeong Oh Pil-Hun Chang Hyun-Suk Kang Hyung-Suk Kim |
| author_facet | Min Roh Sang-Myeong Oh Pil-Hun Chang Hyun-Suk Kang Hyung-Suk Kim |
| author_sort | Min Roh |
| collection | DOAJ |
| description | A regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensitivity of the interaction between input wind and wave development. The forecasts for each condition were compared and verified with the observational data of marine meteorological buoys from 1 August to 30 September 2020. The sensitivity conditions were configured to have a specific range of variables related to the directional distribution of input winds (SINA0) and variables indicating the development of input wind–wave (CDFAC) in the ST6. The results were presented by calculating the mean error and root mean square error for all observation points. Overall, as the CDFAC increased, the mean error tended to decrease according to the forecast time and the root mean square error increased. Although the effect of SINA0 at the same CDFAC was insignificant, when SINA0 increased in sections where the significant wave height decreased rapidly, the significant wave height tended to decrease. In addition, the main variables that affect the physical process of wind–wave interaction should be considered to improve wave model forecasting performance and accuracy. |
| first_indexed | 2024-03-11T03:36:09Z |
| format | Article |
| id | doaj.art-123c2930fe7c48048f3157179e8da70f |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T03:36:09Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-123c2930fe7c48048f3157179e8da70f2023-11-18T02:00:24ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-01115103810.3390/jmse11051038Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH IIIMin Roh0Sang-Myeong Oh1Pil-Hun Chang2Hyun-Suk Kang3Hyung-Suk Kim4Ocean Space Development and Energy Research Department, Korea Institute of Ocean Science and Technology, Busan 49111, Republic of KoreaForecast Research Department, National Institute of Meteorological Sciences, Seogwipo-si 63568, Republic of KoreaForecast Research Department, National Institute of Meteorological Sciences, Seogwipo-si 63568, Republic of KoreaForecast Research Department, National Institute of Meteorological Sciences, Seogwipo-si 63568, Republic of KoreaDepartment of Civil Engineering, Kunsan National University, Gunsan-si 54150, Republic of KoreaA regional wave forecasting system in East Asia, including the Korean Peninsula, was built based on WAVEWATCH III using offshore wind forecast data from the Global Data Assimilation Prediction System. The numerical simulations were performed on the sensitivity of the interaction between input wind and wave development. The forecasts for each condition were compared and verified with the observational data of marine meteorological buoys from 1 August to 30 September 2020. The sensitivity conditions were configured to have a specific range of variables related to the directional distribution of input winds (SINA0) and variables indicating the development of input wind–wave (CDFAC) in the ST6. The results were presented by calculating the mean error and root mean square error for all observation points. Overall, as the CDFAC increased, the mean error tended to decrease according to the forecast time and the root mean square error increased. Although the effect of SINA0 at the same CDFAC was insignificant, when SINA0 increased in sections where the significant wave height decreased rapidly, the significant wave height tended to decrease. In addition, the main variables that affect the physical process of wind–wave interaction should be considered to improve wave model forecasting performance and accuracy.https://www.mdpi.com/2077-1312/11/5/1038global data assimilation prediction systemWAVEWATCH IIIST6wind–wave interaction |
| spellingShingle | Min Roh Sang-Myeong Oh Pil-Hun Chang Hyun-Suk Kang Hyung-Suk Kim Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III Journal of Marine Science and Engineering global data assimilation prediction system WAVEWATCH III ST6 wind–wave interaction |
| title | Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III |
| title_full | Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III |
| title_fullStr | Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III |
| title_full_unstemmed | Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III |
| title_short | Sensitivity Analysis of Forecasting Performance for ST6 Parameterization in High-Resolution Wave Model Based on WAVEWATCH III |
| title_sort | sensitivity analysis of forecasting performance for st6 parameterization in high resolution wave model based on wavewatch iii |
| topic | global data assimilation prediction system WAVEWATCH III ST6 wind–wave interaction |
| url | https://www.mdpi.com/2077-1312/11/5/1038 |
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