Optimizing Typhoon Intensity Prediction Models: Pilot Study adopting Sea Spray-mediated Flux
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Title
- Optimizing Typhoon Intensity Prediction Models: Pilot Study adopting Sea Spray-mediated Flux
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Author(s)
- Kim, Haejin; Kim, Kyeong Ok; Kim, Han Na
- KIOST Author(s)
- Kim, Haejin(김해진); Kim, Kyeong Ok(김경옥); Kim, Han Na(김한나)
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Alternative Author(s)
- 김해진; 김경옥; 김한나
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Publication Year
- 2024-06-16
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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.
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ISSN
- 1098-6189
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/45857
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Bibliographic Citation
- Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference, 2024
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Publisher
- International Society of Offshore and Polar Engineers
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Type
- Conference
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Language
- English
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