Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery
文献类型：期刊论文
| 作者 | Mu, Shanshan1,3,4; Wang, Haoyu1,3,4; Wang, Chong1,3,4; Perrie, William2; Li, Xiaofeng1,3,4 |
| 刊名 | GEOPHYSICAL RESEARCH LETTERS
 |
| 出版日期 | 2026-02-26 |
| 卷号 | 53期号:5页码:11 |
| ISSN号 | 0094-8276 |
| DOI | 10.1029/2025GL119313 |
| 通讯作者 | Li, Xiaofeng(lixf@qdio.ac.cn) |
| 英文摘要 | Tropical cyclones (TCs) are destructive natural hazards, and their vertical tilt, defined as the displacement between the sea surface center and cloud top center, plays a key role in storm structure and intensity changes. This study constructed a global satellite-based tilt data set from 1,024 paired synthetic aperture radar (SAR) and infrared (IR) images, with SAR locating the sea surface center and IR identifying the cloud top center, spanning 264 TCs during 2016-2024. Statistical analyses reveal systematic links between TC tilt and TC intensity, motion, and latitude, with large tilts frequently occurring during weakening. Attribution analyses using interpretable regression and deep learning models show vertical wind shear, tropospheric temperature differences, TC intensity, and cloud-related indices as dominant controls, with shear orientation strongly constraining tilt direction. These findings highlight the value of satellite-derived tilt mapping, while deep learning attribution quantifies nonlinear interactions among key factors, advancing our understanding of TC vertical structure. |
| WOS关键词 | RAPID INTENSIFICATION ; HURRICANE INTENSITY ; WIND SHEAR |
| 资助项目 | China Scholarship Council ; TS scholar young expert program[tsqn202507276] ; National Natural Science Foundation of China[42506159] ; National Natural Science Foundation of China[42376175] ; National Natural Science Foundation of China[42221005] ; the Qingdao Science and Technology for People's Livelihood Demonstration Special Project[25-1-5-cspz-18-nsh] ; National Key Research and Development Program of China[2023YFC3008200] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001702456500001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/204865]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Li, Xiaofeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanog, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Bedford Inst Oceanog Fisheries & Oceans Canada, Dartmouth, NS, Canada 3.Qingdao Marine Sci & Technol Ctr, Lab Ocean Dynam & Climate, Qingdao, Peoples R China 4.Chinese Acad Sci, Key Lab Ocean Observat & Forecasting, Qingdao, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mu, Shanshan,Wang, Haoyu,Wang, Chong,et al. Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery[J]. GEOPHYSICAL RESEARCH LETTERS,2026,53(5):11. |
| APA | Mu, Shanshan,Wang, Haoyu,Wang, Chong,Perrie, William,&Li, Xiaofeng.(2026).Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery.GEOPHYSICAL RESEARCH LETTERS,53(5),11. |
| MLA | Mu, Shanshan,et al."Retrieval and Attribution of Tropical Cyclone Vertical Tilt From SAR and Infrared Satellite Imagery".GEOPHYSICAL RESEARCH LETTERS 53.5(2026):11. |
入库方式： OAI收割
来源：海洋研究所
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