| 基于C-2PO模型和CMOD5.N地球物理模式函数的SAR风速反演性能评估 |
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| 引用本文： | 方贺,谢涛,周育锋,杨劲松,赵立,何宜军,William. Perrie.基于C-2PO模型和CMOD5.N地球物理模式函数的SAR风速反演性能评估[J].海洋学报,2018,40(9):103-112. |
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| 作者姓名： | 方贺 谢涛 周育锋 杨劲松 赵立 何宜军 William. Perrie |
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| 作者单位： | 1.南京信息工程大学 海洋科学学院, 江苏 南京 210044 |
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| 基金项目： | 国家自然科学基金项目（41776181）；国家重点研发计划项目（2016YFC1401007）；全球变化研究国家重大科学研究计划（2015CB953901）；江苏省研究生科研创新计划（KYCX18_1012）；江苏省气象局2014年现代化项目"江苏海洋气象综合业务平台"。 |
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| 摘 要： | 本文选取142幅RADARSAT-2全极化合成孔径雷达（SAR）影像，在没有入射角输入的情况下，首先利用C-2PO模型进行海面风速反演。随后，将同一时空下的ASCAT散射计风向作为初始风向，提取相应雷达入射角，利用地球物理模式函数（GMF） CMOD5.N对142幅SAR影像进行风速计算。反演结果与美国国家资料浮标中心海洋浮标风速数据对比，结果显示:CMOD5.N GMF和C-2PO模型均可反演出较高精确度的海面风速，其均方根误差分别为1.68 m/s和1.74 m/s。此外，研究发现，在低风速段，CMOD5.N GMF的风速反演精度要明显优于C-2PO模型。针对这一现象，本文以SAR系统成像机理为基础，以低风速SAR图像为具体案例，给出了3种造成这一现象的原因。
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| 关 键 词： | 全极化合成孔径雷达 海面风速 交叉极化 地球物理模式函数 反演 |
| 收稿时间： | 2017/9/10 0:00:00 |
| 修稿时间： | 2018/2/20 0:00:00 |
Evaluation of SAR wind speed retrieved based on C-2PO model and CMOD5.N geophysical model functions |
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| Fang He,Xie Tao,Zhou Yufeng,Yang Jingsong,Zhao Li,He Yijun and William. Perrie.Evaluation of SAR wind speed retrieved based on C-2PO model and CMOD5.N geophysical model functions[J].Acta Oceanologica Sinica (in Chinese),2018,40(9):103-112. |
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| Authors: | Fang He Xie Tao Zhou Yufeng Yang Jingsong Zhao Li He Yijun and William Perrie |
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| Institution: | School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China,Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China,Beijing Institute of Applied Meteorology, Beijing 100029, China,State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China,School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China and Fisheries & Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, B2Y 4A2, Canada |
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| Abstract: | In this paper, we first retrieve ocean surface wind speed from C-2PO model without incidence angle input using selected 142 quad-polarized synthetic aperture radar (SAR) images. Subsequently, wind speed computed from geophysical function model (GMF) CMOD5.N with incidence angle measured from the advanced scatterometer (ASCAT) using the same SAR images. Compared with national data buoy center (NDBC) buoy-measured wind speed, the results show that the ocean surface wind speed retrieve from CMOD5.N GMF and C-2PO model both have a high accuracy, and with the root-mean-square (RMS) error are1.68 m/s and 1.74 m/s, respectively. In addition, the wind speeds retrieval RMS error of CMOD5.N GMF is perform better than C-2PO model at low wind speed section (0-10 m/s). After that, taken one SAR image with low wind speed, three reasons of this phenomenon are presented in this paper based on SAR system imaging mechanism. |
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| Keywords: | full polarimetric SAR ocean surface wind speed cross-polarization geophysical model function |
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