Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness
Global Drag-Coefficient Estimates From Scatterometer Wind and Wave Steepness
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DOI：
10.1109/tgrs.2010.2082554
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发表时间：
2011-05
影响因子：
8.2
通讯作者：
Guoqiang Liu;Yijun He;Hui Shen;Jie Guo
中科院分区：
文献类型：
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作者：
Guoqiang Liu;Yijun He;Hui Shen;Jie Guo
建立了一个神经网络模型，用于从ERS-1/2上的欧洲遥感散射计中反演海浪陡度（δ），以表征海况（尤其是波浪状态）。利用反演的δ和散射计风速，计算并检验了全球海洋的阻力系数。结果表明，当计算中包括波陡时，CD发生显著变化。结合波陡和风速，CD平均增加近14%。这种变化是空间变化的，从热带东太平洋的-18.76%到南大洋的104%不等。
A neural-network model was developed to retrieve the wave steepness (δ), 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 δ and scatterometer wind speed, we calculated and examined the drag coefficient ( CD) over the global ocean. The results show that CD changes significantly when wave steepness is included in the calculation. Combining wave steepness and wind speed increases CD 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.