Strategy for the Prediction of Typhoon Wind and Storm Surge Height Using the Parametric Typhoon Model: Case Study for Hinnamnor in 2022 SCIE SCOPUS

DC Field Value Language
dc.contributor.author Son, Jun Hyeok -
dc.contributor.author Kim, Hojin -
dc.contributor.author Heo, Ki Young -
dc.contributor.author Kwon, Jae Il -
dc.contributor.author Jeong, Sang Hun -
dc.contributor.author Choi, Jin Yong -
dc.contributor.author Chun, Je Yun -
dc.contributor.author Kwon, Yeong Yeon -
dc.contributor.author Choi, Jung Woon -
dc.date.accessioned 2023-01-04T00:30:11Z -
dc.date.available 2023-01-04T00:30:11Z -
dc.date.created 2023-01-03 -
dc.date.issued 2023-01 -
dc.identifier.issn 2073-4433 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/43676 -
dc.description.abstract The parametric typhoon model is a powerful typhoon prediction and reproduction tool with advantages in accuracy, and computational speed. To simulate typhoons’ horizontal features, the longitude and latitude of the typhoon center, central pressure, radius of maximum wind speed (Rmax), and background states (such as surface air pressure and wind speed) are required. When a typhoon approaches or is predicted to affect Korea, the Korea Meteorological Agency (KMA) notifies the above-mentioned parameters, except for the Rmax and background state. The contribution of background wind and pressure is not very significant; however, Rmax is essential for calculating typhoon winds. Therefore, the optimized Rmax for the typhoons over the past five years was estimated at each time step compared with the in situ wind observation record. After that, a fifth-order polynomial fitting was performed between the estimated Rmax and the radius of strong wind (RSW; >15 m/s) provided by the KMA. Finally, the Rmax was calculated from the RSW via the empirical equation, and the horizontal fields of typhoon Hinnamnor (2211) were reproduced using a parametric model. Furthermore, the ocean storm surge height was adequately simulated in the surge model. -
dc.description.uri 1 -
dc.language English -
dc.publisher Rotoweb Cantelli -
dc.title Strategy for the Prediction of Typhoon Wind and Storm Surge Height Using the Parametric Typhoon Model: Case Study for Hinnamnor in 2022 -
dc.type Article -
dc.citation.title Atmosphere -
dc.citation.volume 14 -
dc.citation.number 1 -
dc.contributor.alternativeName 손준혁 -
dc.contributor.alternativeName 김호진 -
dc.contributor.alternativeName 허기영 -
dc.contributor.alternativeName 권재일 -
dc.contributor.alternativeName 정상훈 -
dc.contributor.alternativeName 최진용 -
dc.contributor.alternativeName 전재윤 -
dc.contributor.alternativeName 권영연 -
dc.contributor.alternativeName 최정운 -
dc.identifier.bibliographicCitation Atmosphere, v.14, no.1 -
dc.identifier.doi 10.3390/atmos14010082 -
dc.identifier.scopusid 2-s2.0-85146528887 -
dc.identifier.wosid 000914454000001 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess Y -
dc.subject.keywordAuthor typhoon -
dc.subject.keywordAuthor parametric typhoon model -
dc.subject.keywordAuthor storm surge -
dc.subject.keywordAuthor radius of maximum wind speed -
dc.subject.keywordAuthor Hinnamnor -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.relation.journalWebOfScienceCategory Meteorology & Atmospheric Sciences -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.relation.journalResearchArea Meteorology & Atmospheric Sciences -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 1. Journal Articles
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse