Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020)
This study investigates the impact of sea spray parameterization on typhoon prediction in the Yellow and East China Seas (YECS) region. Using an air-sea-wave coupled model, we evaluate changes due to sea spray effects in the simulated intensity and structure of Typhoons Lingling (2019) and Maysak (2...
| 出版年: | Environmental Research Letters |
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| 主要な著者: | , , , , , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IOP Publishing
2025-01-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1088/1748-9326/adc616 |
| _version_ | 1848762613668773888 |
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| author | Sinil Yang Hyo-Jun Bae Mark Bourassa Chaehyeon Chelsea Nam Steven Cocke DW Shin Benjamin W Barr Hyodae Seo Dong-Hyun Cha Min-Ho Kwon Daehyun Kim Moon-Soo Park Kwang-Young Jeong Baek-Min Kim |
| author_facet | Sinil Yang Hyo-Jun Bae Mark Bourassa Chaehyeon Chelsea Nam Steven Cocke DW Shin Benjamin W Barr Hyodae Seo Dong-Hyun Cha Min-Ho Kwon Daehyun Kim Moon-Soo Park Kwang-Young Jeong Baek-Min Kim |
| author_sort | Sinil Yang |
| collection | DOAJ |
| container_title | Environmental Research Letters |
| description | This study investigates the impact of sea spray parameterization on typhoon prediction in the Yellow and East China Seas (YECS) region. Using an air-sea-wave coupled model, we evaluate changes due to sea spray effects in the simulated intensity and structure of Typhoons Lingling (2019) and Maysak (2020). Enabling sea spray effect enhances surface turbulent heat fluxes considerably around the typhoon centers (74% increase for Lingling, 92% for Maysak), leading to a better representation of typhoon intensification phases. Analysis of thermodynamic processes reveals that sea spray-induced warming emerges before rapid intensification, with enhanced temperature and moisture profiles throughout the troposphere supporting stronger secondary circulation. As a result, key aspects of typhoon prediction exhibit significant improvements: root-mean-squared errors decreased by 63% in minimum central pressure and 60% for maximum wind speed in the case of Maysak. The results demonstrate that sea spray effects are strongly modulated by sub-surface ocean conditions, with a greater surface heat flux enhancement for Maysak that moved along warmer Kuroshio and Tsushima currents than for Lingling which passed over Yellow Sea Bottom Cold Water. Our findings demonstrate the significant potential to improve typhoon predictions in the YECS region by incorporating sea spray effects. |
| format | Article |
| id | doaj-art-eacbd0237e92417ea992becd1674e2db |
| institution | Directory of Open Access Journals |
| issn | 1748-9326 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| spelling | doaj-art-eacbd0237e92417ea992becd1674e2db2025-10-09T13:42:08ZengIOP PublishingEnvironmental Research Letters1748-93262025-01-0120505402810.1088/1748-9326/adc616Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020)Sinil Yang0https://orcid.org/0000-0002-8851-6495Hyo-Jun Bae1Mark Bourassa2Chaehyeon Chelsea Nam3Steven Cocke4DW Shin5Benjamin W Barr6https://orcid.org/0000-0001-6983-3519Hyodae Seo7https://orcid.org/0000-0002-4352-5080Dong-Hyun Cha8https://orcid.org/0000-0001-5053-6741Min-Ho Kwon9Daehyun Kim10https://orcid.org/0000-0001-9233-2747Moon-Soo Park11https://orcid.org/0000-0003-0551-5129Kwang-Young Jeong12Baek-Min Kim13https://orcid.org/0000-0002-1717-183XAPEC Climate Center , Busan 48058, Republic of KoreaDivision of Earth Environmental System Science Major of Environmental Atmospheric Sciences, Pukyong National University , Busan 48513, Republic of KoreaDepartment of Earth, Ocean and Atmospheric Science, Florida State University , Tallahassee, FL 32306, United States of America; Center for Ocean-Atmospheric Prediction Studies, Florida State University , Tallahassee, FL 32306, United States of AmericaDepartment of Earth, Ocean and Atmospheric Science, Florida State University , Tallahassee, FL 32306, United States of AmericaCenter for Ocean-Atmospheric Prediction Studies, Florida State University , Tallahassee, FL 32306, United States of AmericaCenter for Ocean-Atmospheric Prediction Studies, Florida State University , Tallahassee, FL 32306, United States of AmericaDepartment of Physical Oceanography, Woods Hole Oceanographic Institution , Woods Hole, MA 02543, United States of AmericaDepartment of Physical Oceanography, Woods Hole Oceanographic Institution , Woods Hole, MA 02543, United States of America; Department of Oceanography, University of Hawai’i at Mānoa , Honolulu, HI 96822, United States of AmericaDepartment of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology , Ulsan 44919, Republic of KoreaOcean Climate Prediction Center, Korea Institute of Ocean Science and Technology , Busan 49111, Republic of KoreaSchool of Earth and Environmental Sciences, Seoul National University , Seoul 08826, Republic of Korea; Department of Atmospheric and Climate Science, University of Washington , Seattle, WA 98195, United States of AmericaDepartment of Climate and Environment, Sejong University , Seoul 05006, Republic of KoreaOcean Research Division , Korea Hydrographic and Oceanographic Agency, Busan 49111, Republic of KoreaDivision of Earth Environmental System Science Major of Environmental Atmospheric Sciences, Pukyong National University , Busan 48513, Republic of KoreaThis study investigates the impact of sea spray parameterization on typhoon prediction in the Yellow and East China Seas (YECS) region. Using an air-sea-wave coupled model, we evaluate changes due to sea spray effects in the simulated intensity and structure of Typhoons Lingling (2019) and Maysak (2020). Enabling sea spray effect enhances surface turbulent heat fluxes considerably around the typhoon centers (74% increase for Lingling, 92% for Maysak), leading to a better representation of typhoon intensification phases. Analysis of thermodynamic processes reveals that sea spray-induced warming emerges before rapid intensification, with enhanced temperature and moisture profiles throughout the troposphere supporting stronger secondary circulation. As a result, key aspects of typhoon prediction exhibit significant improvements: root-mean-squared errors decreased by 63% in minimum central pressure and 60% for maximum wind speed in the case of Maysak. The results demonstrate that sea spray effects are strongly modulated by sub-surface ocean conditions, with a greater surface heat flux enhancement for Maysak that moved along warmer Kuroshio and Tsushima currents than for Lingling which passed over Yellow Sea Bottom Cold Water. Our findings demonstrate the significant potential to improve typhoon predictions in the YECS region by incorporating sea spray effects.https://doi.org/10.1088/1748-9326/adc616sea spray parameterizationair-sea interactiontyphoon predictionCOAWST modelYellow and East China Seasbottom cold water |
| spellingShingle | Sinil Yang Hyo-Jun Bae Mark Bourassa Chaehyeon Chelsea Nam Steven Cocke DW Shin Benjamin W Barr Hyodae Seo Dong-Hyun Cha Min-Ho Kwon Daehyun Kim Moon-Soo Park Kwang-Young Jeong Baek-Min Kim Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) sea spray parameterization air-sea interaction typhoon prediction COAWST model Yellow and East China Seas bottom cold water |
| title | Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) |
| title_full | Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) |
| title_fullStr | Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) |
| title_full_unstemmed | Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) |
| title_short | Sea spray effects on typhoon prediction in the Yellow and East China Seas: case studies using a coupled atmosphere-ocean-wave model for Lingling (2019) and Maysak (2020) |
| title_sort | sea spray effects on typhoon prediction in the yellow and east china seas case studies using a coupled atmosphere ocean wave model for lingling 2019 and maysak 2020 |
| topic | sea spray parameterization air-sea interaction typhoon prediction COAWST model Yellow and East China Seas bottom cold water |
| url | https://doi.org/10.1088/1748-9326/adc616 |
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