Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness

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	Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness
	Liu, Guoqiang 1,2; He, Yijun 1; Shen, Hui 1; Guo, Jie3
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2011-05-01
卷号	49 期号:5 页码:1499-1503
关键词	Air-sea Interaction Neural Networks (Nns) Remote Sensing
ISSN号	0196-2892
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
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
文献子类	Article
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.
学科主题	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing
WOS关键词	SEA-SURFACE ROUGHNESS ; STRESS ; DEPENDENCE ; PARAMETERIZATION ; ALGORITHM ; SPEED ; MODEL
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
WOS记录号	WOS:000289906200001
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
公开日期	2011-07-22
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/4914]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室
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.