The development of a weather-type statistical downscaling model for wave climate based on wave clustering
文献类型：期刊论文
| 作者 | Zhao, Guangfeng2,3; Li, Delei1,2,4; Yang, Shuguo3; Qi, Jifeng2,4; Yin, Baoshu2,4,5 |
| 刊名 | OCEAN ENGINEERING
 |
| 出版日期 | 2024-07-15 |
| 卷号 | 304页码:13 |
| 关键词 | Statistical downscaling Weather-type Wave climate Wave clustering Extreme waves |
| ISSN号 | 0029-8018 |
| DOI | 10.1016/j.oceaneng.2024.117863 |
| 通讯作者 | Li, Delei(deleili@qdio.ac.cn) |
| 英文摘要 | Reliable long-term wave data are significant for understanding changes and variability of ocean waves, which has important implications for coastal engineering, land erosion, and coastal flooding. This study develops a regression-guided weather-type statistical method for modelling regional or global significant wave height Hs. The model classifies the atmospheric circulation patterns (predictor) through the regression-guided clustering approach, linking the atmospheric circulation with clustered regional Hs (predictand). It is applied in the Chinese marginal seas and also the global ocean. A comprehensive skill assessment shows robust skill and computationally efficiency of the model in capturing climatology and variability of both mean and extreme Hs in the Chinese marginal seas and global oceans. Furthermore, the reconstructed global Hs data show similar seasonal trends as the ERA5 data, with a gradual decrease in Hs observed during boreal summer in the central Pacific and western North Atlantic regions at lower latitudes. This method proves to be robust for both regional and global Hs reconstruction, and also applicable for Hs climate prediction and projections. |
| WOS关键词 | PROJECTIONS ; HEIGHTS ; TRENDS |
| 资助项目 | National Natural Science Foundation of China[42176203] ; National Key Research and Development Program of China[2023YFC3008200] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000] ; Youth Innovation Promotion Association CAS[2022204] ; Taishan Scholars Program[tsqn202211252] |
| WOS研究方向 | Engineering ; Oceanography |
| 语种 | 英语 |
| WOS记录号 | WOS:001229692000001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/185843]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 海洋研究所_海洋生态与环境科学重点实验室 |
| 通讯作者 | Li, Delei |
| 作者单位 | 1.Laoshan Lab, Qingdao, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 3.Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Chinese Acad Sci, CAS Engn Lab Marine Ranching, Inst Oceanol, Qingdao, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Guangfeng,Li, Delei,Yang, Shuguo,et al. The development of a weather-type statistical downscaling model for wave climate based on wave clustering[J]. OCEAN ENGINEERING,2024,304:13. |
| APA | Zhao, Guangfeng,Li, Delei,Yang, Shuguo,Qi, Jifeng,&Yin, Baoshu.(2024).The development of a weather-type statistical downscaling model for wave climate based on wave clustering.OCEAN ENGINEERING,304,13. |
| MLA | Zhao, Guangfeng,et al."The development of a weather-type statistical downscaling model for wave climate based on wave clustering".OCEAN ENGINEERING 304(2024):13. |
入库方式： OAI收割
来源：海洋研究所
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