基于雷达高度计增益自动控制数据的风速反演算法研究

王磊; 王萍; 孟俊敏; 范陈清

基于雷达高度计增益自动控制数据的风速反演算法研究

1.
山东科技大学测绘科学与工程学院, 山东青岛 266510;国家海洋局第一海洋研究所, 山东青岛 266061
2.
山东科技大学测绘科学与工程学院, 山东青岛 266510
3.
国家海洋局第一海洋研究所, 山东青岛 266061

基金项目: 国家海洋局第一海洋研究所自主海洋动力环境卫星高度计海洋参数反演技术(201105032-1)。

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出版历程
- 收稿日期: 2011-10-20
- 修回日期: 2011-12-25

An inversion algorithm research of altimeter wind speed based on automatic gain control

1.
Geomatics Collge, Shandong University of Science and Technology, Qingdao 266510, China;First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
2.
Geomatics Collge, Shandong University of Science and Technology, Qingdao 266510, China
3.
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

摘要

摘要: 基于Jason-1卫星雷达高度计与NDBC(National Data Buoy Center)浮标的时空匹配数据集,利用BP(Back Propagation)神经网络方法建立了基于后向散射系数σ₀与有效波高(Significant Wave Height,SWH,)的双参数(σ₀-H_sw)风速反演模型,并探讨利用AGC(Automatic Gain Control)来代替σ₀对风速反演的可行性进行研究。结果表明,所建立的σ₀-SWH风速反演均方根优于0.3 m/s(风速范围为0.5~20 m/s); AGC-SWH模型反演精度偏低(1.3 m/s),但在星星交叉定标的基础上,模型精度提高了0.9 m/s。这个研究工作尤其是交叉定标基础上的AGC-SWH模型反演流程对"HY-2"海面风速反演有一定的借鉴意义。
- 增益自动控制 /
- 卫星高度计 /
- 神经网络 /
- 风速反演
Abstract: Based on the collected and coincident data between Jason-1 altimeter and buoy observations,a two-parameter wind speed model with altimeter-derived backscatter and significant wave height (SWH,H_sw) is developed.Besides,a feasibility study of using automatic gain control (AGC) to replace σ₀ is explored.The experiment results show that the inversion accuracy of σ₀-H_sw model is 0.3 m/s.The inversion accuracy of AGC-SWH model is lower(1.3 m/s).By Using cross calibration,the accuracy improves 0.9 m/s.It is a significant reference for "HY-2" that AGC-SWH inverses wind speed by cross calibration.
- automatic gain control /
- satellite altimeter /
- neural network /
- wind speed inversion

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参考文献(8)

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