Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect

In this study, we constructed a rapid refresh wave forecast model using sea winds from the Korea Local Analysis and Prediction System as input forcing data. The model evaluated the changes in forecast performance considering the influence of input wind–wave interaction, which is an important factor...

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Autores principales:	Min Roh, Nary La, Sang-Myeong Oh, Kiryong Kang, Youjung Oh, Hyung-Suk Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rapid refresh wave forecast model wind–wave interaction forecast performance typhoon season wave energy Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/8bdbdcaae92d4766b35b4543d30dccef
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spelling	oai:doaj.org-article:8bdbdcaae92d4766b35b4543d30dccef2021-11-25T18:04:32ZVerification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect10.3390/jmse91112302077-1312https://doaj.org/article/8bdbdcaae92d4766b35b4543d30dccef2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1230https://doaj.org/toc/2077-1312In this study, we constructed a rapid refresh wave forecast model using sea winds from the Korea Local Analysis and Prediction System as input forcing data. The model evaluated the changes in forecast performance considering the influence of input wind–wave interaction, which is an important factor that determines forecast performance. The forecast performance was evaluated by comparing the forecast results of the wave model with the significant wave height, wave period, and wave direction provided by moored buoy observations. During the typhoon season, the model tended to underestimate the conditions, and the root mean square error (RMSE) was reduced by increasing the wind and wave interaction parameter. The best value of the interaction parameter that minimizes the RMSE was determined based on the results of the numerical experiments performed during the typhoon season. The forecast error in the typhoon season was higher than that observed in the analysis results of the non-typhoon season. This can be attributed to the variations of the wave energy caused by the relatively strong typhoon wind field considered in the wave model.Min RohNary LaSang-Myeong OhKiryong KangYoujung OhHyung-Suk KimMDPI AGarticlerapid refresh wave forecast modelwind–wave interactionforecast performancetyphoon seasonwave energyNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1230, p 1230 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rapid refresh wave forecast model wind–wave interaction forecast performance typhoon season wave energy Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	rapid refresh wave forecast model wind–wave interaction forecast performance typhoon season wave energy Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Min Roh Nary La Sang-Myeong Oh Kiryong Kang Youjung Oh Hyung-Suk Kim Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
description	In this study, we constructed a rapid refresh wave forecast model using sea winds from the Korea Local Analysis and Prediction System as input forcing data. The model evaluated the changes in forecast performance considering the influence of input wind–wave interaction, which is an important factor that determines forecast performance. The forecast performance was evaluated by comparing the forecast results of the wave model with the significant wave height, wave period, and wave direction provided by moored buoy observations. During the typhoon season, the model tended to underestimate the conditions, and the root mean square error (RMSE) was reduced by increasing the wind and wave interaction parameter. The best value of the interaction parameter that minimizes the RMSE was determined based on the results of the numerical experiments performed during the typhoon season. The forecast error in the typhoon season was higher than that observed in the analysis results of the non-typhoon season. This can be attributed to the variations of the wave energy caused by the relatively strong typhoon wind field considered in the wave model.
format	article
author	Min Roh Nary La Sang-Myeong Oh Kiryong Kang Youjung Oh Hyung-Suk Kim
author_facet	Min Roh Nary La Sang-Myeong Oh Kiryong Kang Youjung Oh Hyung-Suk Kim
author_sort	Min Roh
title	Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
title_short	Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
title_full	Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
title_fullStr	Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
title_full_unstemmed	Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect
title_sort	verification of forecast performance of a rapid refresh wave model based on wind–wave interaction effect
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8bdbdcaae92d4766b35b4543d30dccef
work_keys_str_mv	AT minroh verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect AT naryla verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect AT sangmyeongoh verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect AT kiryongkang verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect AT youjungoh verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect AT hyungsukkim verificationofforecastperformanceofarapidrefreshwavemodelbasedonwindwaveinteractioneffect
_version_	1718411692345393152

Verification of Forecast Performance of a Rapid Refresh Wave Model Based on Wind–Wave Interaction Effect

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