Optimizing Typhoon Intensity Prediction Models: Pilot Study adopting Sea Spray-mediated Flux

Title
Optimizing Typhoon Intensity Prediction Models: Pilot Study adopting Sea Spray-mediated Flux
Author(s)
Kim, Haejin; Kim, Kyeong Ok; Kim, Han Na
KIOST Author(s)
Kim, Haejin(김해진)Kim, Kyeong Ok(김경옥)Kim, Han Na(김한나)
Alternative Author(s)
김해진; 김경옥; 김한나
Publication Year
2024-06-16
Abstract
This study investigates impacts of sea spray-mediated latent heat in forecasts of rapidly intensifying typhoons. Sea spray-mediated latent heat, expected to improve the forecast performance of typhoon intensification, must evaluate complex wind-wave interactions. To simply incorporate its effects, a regression equation was developed using YJ22 algorithm of Lan et al. (2022). The experiments with sea spray effect accurately predicted the tracks and intensities of category 5 typhoons, but overestimated the intensities and deviated from actual tracks for category 3 typhoons. Our results suggest that including spray- induced latent heat flux can notably improve the forecast precision of category 5 RI typhoons.
ISSN
1098-6189
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/45857
Bibliographic Citation
Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference, 2024
Publisher
International Society of Offshore and Polar Engineers
Type
Conference
Language
English
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