| Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness | |
Liu, Guoqiang1,2; He, Yijun1; Shen, Hui1; Guo, Jie3
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| 发表期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| ISSN | 0196-2892 |
| 2011-05-01 | |
| 卷号 | 49期号:5页码:1499-1503 |
| 关键词 | Air-sea Interaction Neural Networks (Nns) Remote Sensing |
| 产权排序 | [Liu, Guoqiang; He, Yijun; Shen, Hui] Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China; [Liu, Guoqiang] Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Grad Sch, Beijing 100039, Peoples R China; [Guo, Jie] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 通讯作者 | Liu, GQ, Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China.heyj@ms.qdio.ac.cn |
| 作者部门 | 信息集成与应用实验室 |
| 英文摘要 | A neural-network model was developed to retrieve the wave steepness (delta), which was used to represent the sea state (particularly wave state), from the European Remote Sensing (ERS) scatterometer onboard ERS-1/2. Using the retrieved delta and scatterometer wind speed, we calculated and examined the drag coefficient (C-D) over the global ocean. The results show that C-D changes significantly when wave steepness is included in the calculation. Combining wave steepness and wind speed increases C-D by nearly 14% on average. That change is spatially variable, ranging from -18.76% for the tropical Eastern Pacific Ocean to 104% for the Southern Ocean.; A neural-network model was developed to retrieve the wave steepness (delta), which was used to represent the sea state (particularly wave state), from the European Remote Sensing (ERS) scatterometer onboard ERS-1/2. Using the retrieved delta and scatterometer wind speed, we calculated and examined the drag coefficient (C-D) over the global ocean. The results show that C-D changes significantly when wave steepness is included in the calculation. Combining wave steepness and wind speed increases C-D by nearly 14% on average. That change is spatially variable, ranging from -18.76% for the tropical Eastern Pacific Ocean to 104% for the Southern Ocean. |
| 文章类型 | Article |
| 资助机构 | National Natural Science Foundation of China [40906069, 40776094]; Shangdong 908 Project [SD-908-02-08]; Chinese Academy of Sciences [2006-1-15]; K. C. WONG Education Foundation |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | SEA-SURFACE ROUGHNESS ; STRESS ; DEPENDENCE ; PARAMETERIZATION ; ALGORITHM ; SPEED ; MODEL |
| 研究领域[WOS] | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000289906200001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/4913 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Grad Sch, Beijing 100039, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Guoqiang,He, Yijun,Shen, Hui,et al. Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2011,49(5):1499-1503. |
| APA | Liu, Guoqiang,He, Yijun,Shen, Hui,&Guo, Jie.(2011).Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,49(5),1499-1503. |
| MLA | Liu, Guoqiang,et al."Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 49.5(2011):1499-1503. |
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