{"title":"台风科学与人工智能的结合:基于物理和数据驱动范式的桥梁圆桌会议","authors":"Zeyi Niu , Zhe-Min Tan , Hui Yu , Jian-Feng Gu , Guomin Chen , Wei Huang","doi":"10.1016/j.tcrr.2025.08.006","DOIUrl":null,"url":null,"abstract":"<div><div>This paper summarizes the ‘Artificial Intelligence (AI) + Typhoon’ session and a subordinated roundtable forum at the 21st China National Workshop on Tropical Cyclones (NWTC-XXI, 16–18 April. 2025, Changsha China), highlighting recent advances in AI techniques for typhoon monitoring, forecasting, and impact assessment, as well as the deep integration of state-of-the-art artificial-intelligence weather prediction (AIWP) models with traditional physics-based numerical weather prediction (NWP) models. Key insights from the round-table forum are synthesized, emphasizing the strengths, limitations, and future development directions for AI models in typhoon forecasting. As a forward-looking perspective, we should be ready for embracing the emerging AI for research (AI4R) paradigm to advance typhoon science and technology.</div></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":"14 3","pages":"Pages 311-316"},"PeriodicalIF":4.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Typhoon science meets artificial intelligence: A roundtable on bridging physics-based and data-driven paradigms\",\"authors\":\"Zeyi Niu , Zhe-Min Tan , Hui Yu , Jian-Feng Gu , Guomin Chen , Wei Huang\",\"doi\":\"10.1016/j.tcrr.2025.08.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper summarizes the ‘Artificial Intelligence (AI) + Typhoon’ session and a subordinated roundtable forum at the 21st China National Workshop on Tropical Cyclones (NWTC-XXI, 16–18 April. 2025, Changsha China), highlighting recent advances in AI techniques for typhoon monitoring, forecasting, and impact assessment, as well as the deep integration of state-of-the-art artificial-intelligence weather prediction (AIWP) models with traditional physics-based numerical weather prediction (NWP) models. Key insights from the round-table forum are synthesized, emphasizing the strengths, limitations, and future development directions for AI models in typhoon forecasting. As a forward-looking perspective, we should be ready for embracing the emerging AI for research (AI4R) paradigm to advance typhoon science and technology.</div></div>\",\"PeriodicalId\":44442,\"journal\":{\"name\":\"Tropical Cyclone Research and Review\",\"volume\":\"14 3\",\"pages\":\"Pages 311-316\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tropical Cyclone Research and Review\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2225603225000384\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tropical Cyclone Research and Review","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2225603225000384","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Typhoon science meets artificial intelligence: A roundtable on bridging physics-based and data-driven paradigms
This paper summarizes the ‘Artificial Intelligence (AI) + Typhoon’ session and a subordinated roundtable forum at the 21st China National Workshop on Tropical Cyclones (NWTC-XXI, 16–18 April. 2025, Changsha China), highlighting recent advances in AI techniques for typhoon monitoring, forecasting, and impact assessment, as well as the deep integration of state-of-the-art artificial-intelligence weather prediction (AIWP) models with traditional physics-based numerical weather prediction (NWP) models. Key insights from the round-table forum are synthesized, emphasizing the strengths, limitations, and future development directions for AI models in typhoon forecasting. As a forward-looking perspective, we should be ready for embracing the emerging AI for research (AI4R) paradigm to advance typhoon science and technology.
期刊介绍:
Tropical Cyclone Research and Review is an international journal focusing on tropical cyclone monitoring, forecasting, and research as well as associated hydrological effects and disaster risk reduction. This journal is edited and published by the ESCAP/WMO Typhoon Committee (TC) and the Shanghai Typhoon Institute of the China Meteorology Administration (STI/CMA). Contributions from all tropical cyclone basins are welcome.
Scope of the journal includes:
• Reviews of tropical cyclones exhibiting unusual characteristics or behavior or resulting in disastrous impacts on Typhoon Committee Members and other regional WMO bodies
• Advances in applied and basic tropical cyclone research or technology to improve tropical cyclone forecasts and warnings
• Basic theoretical studies of tropical cyclones
• Event reports, compelling images, and topic review reports of tropical cyclones
• Impacts, risk assessments, and risk management techniques related to tropical cyclones