基于RADARSAT-2四极化SAR影像的海面风速反演-海洋预报

基于RADARSAT-2四极化SAR影像的海面风速反演

作者：方贺¹ 2 蔡菊珍¹ 何月¹ 徐瑞³ 张育慧¹ 张小伟¹ 贺忠华¹ 肖晶晶¹ 谢涛⁴

单位：1. 浙江省气候中心, 浙江杭州 310017;
2. 自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室, 浙江杭州 310012;
3. 国家海洋环境预报中心, 北京 100081;
4. 南京信息工程大学遥感与测绘学院, 江苏南京 210044

关键词：海面风速合成孔径雷达四极化 RADARSAT-2

分类号：P714

出版年·卷·期（页码）：2021·38·第二期（42-54）

摘要：

选取成像于中国东海和南海海域的102景RADARSAT-2（RS-2）精细四极化SAR原始影像以及ERA-Interim风场，在各极化通道下利用相应风速反演模型开展风速反演的研究。CMOD5地球物理模式函数对VV极化SAR数据反演风速效果最好，可以获取海面高精度风速数据。对于HH和交叉极化SAR影像，利用RS-2 SAR影像和ERA-Interim资料对现有风速反演模型进行改进，并提出了用于HH极化风速反演的PR_CS极化比模型和用于交叉极化风速反演的CP_CS模型。结果显示：基于两种模型的SAR反演风速与ERA-Interim风速具有良好的一致性，利用PR_CS模型的SAR反演风速与参考风速的均方根误差为1.54 m/s，利用CP_CS模型的SAR反演风速与ERA-Interim风速的均方根误差分别为1.43 m/s（VH极化）和1.51 m/s（HV极化）。

In this paper, we selected 102 RS-2 SAR images and collocated ERA-Interim reanalysis wind information to assesses different sea surface wind speed retrieval model in China Seas. The result shows that CMOD5 geophysical model function is the optimal model for VV-polarized data, which can retrieve high precision wind speed from SAR image. For HH- and cross-polarized SAR images, we propose two wind speed retrieval models: PR_CS model for HH-polarized data, and CP_CS model for cross-polarized data. The results show that SAR-retrieved wind speed has a good agreement with ERA-Interim winds. The RMSE between wind speed from PR_CS model and reference data are 1.54 m/s. The RMSE between wind speed from CP_CS model and reference data are 1.54 m/s (VH-polarized) and 1.43 m/s (HV-polarized), respectively.

参考文献：

[1] 柳婧, 宋晓姜, 王彰贵. 中国近海ASCAT和ERA-Interim风场资料的评估[J]. 海洋预报, 2019, 36(1):10-19.
[2] 方贺, 谢涛, 周育锋, 等. 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.
[3] Stoffelen A, Anderson D. Scatterometer data interpretation:estimation and validation of the transfer function CMOD4[J]. Journal of Geophysical Research:Oceans, 1997, 102(C3):5767-5780.
[4] Quilfen Y, Chapron B, Elfouhaily T, et al. Observation of tropical cyclones by high-resolution scatterometry[J]. Journal of Geophysical Research:Oceans, 1998, 103(C4):7767-7786.
[5] Hersbach H, Stoffelen A, de Haan S. An improved C-band scatterometer ocean geophysical model function:CMOD5[J]. Journal of Geophysical Research:Oceans, 2007, 112(C3):C03006.
[6] Hersbach H. CMOD5.N:A C-band geophysical model function for equivalent neutral wind[R]. ECMWF Technical Memorandum 554, Reading, England:ECMWF, 2008.
[7] Stoffelen A, Verspeek J A, Vogelzang J, et al. The CMOD7 geophysical model function for ASCAT and ERS wind retrievals[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5):2123-2134.
[8] Elfouhaily T. Physical modeling of electromagnetic backscatter from the ocean surface; application to retrieval of wind fields and wind stress by remote sensing of the marine atmospheric boundary layer[C]//Dépt. d' Océanogr. Spatiale, l' Inst. Français Rec; l' Exploitation Mer (IFREMER):Plouzane, France, 1997.
[9] Thompson D R, Elfouhaily T M, Chapron B. Polarization ratio for microwave backscattering from the ocean surface at low to moderate incidence angles[C]//IGARSS'98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. Seattle:IEEE, 1998.
[10] Horstmann J, Koch W, Lehner S, et al. Wind retrieval over the ocean using synthetic aperture radar with c-band hh polarization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2122-2131.
[11] Vachon P W, Dobson F W. Wind retrieval from RADARSAT SAR Images:selection of a suitable c-band HH polarization wind retrieval model[J]. Canadian Journal of Remote Sensing, 2000, 26(4):306-313.
[12] Mouche A, Chapron B. Global C-band envisat, RADARSAT-2 and sentinel-1 SAR measurements in copolarization and crosspolarization[J]. Journal of Geophysical Research:Oceans, 2015, 120(11):7195-7207.
[13] Zhang B, Perrie W, He Y J. Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model[J]. Journal of Geophysical Research:Oceans, 2011, 116(C8):C08008.
[14] Vachon P W, Wolfe J. C-band cross-polarization wind speed retrieval[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3):456-459.
[15] Zhang B, Perrie W, Vachon P W, et al. Ocean vector winds retrieval from C-band fully polarimetric SAR measurements[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(11):4252-4261.
[16] Zhang G S, Li X F, Perrie W, et al. A hurricane wind speed retrieval model for C-band RADARSAT-2 cross-polarization scanSAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8):4766-4774.
[17] Shao W Z, Yuan X Z, Sheng Y X, et al. Development of wind speed retrieval from cross-polarization chinese gaofen-3 synthetic aperture radar in typhoons[J]. Sensors, 2018, 18(2):412.
[18] 韩冰, 许遐祯, 刘焕彬, 等. 同极化Radarsat-2数据的海面风速反演研究[J]. 遥感技术与应用, 2017, 32(3):419-426.
[19] 许遐祯, 韩冰, 黄敬峰, 等. 基于交叉极化数据的海面风速反演研究[J]. 气象科学, 2017, 37(5):629-638.
[20] Fang H, Xie T, Perrie W, et al. Comparison of C-band quadpolarization synthetic aperture radar wind retrieval models[J]. Remote Sensing, 2018, 10(9):1448.
[21] Song L N, Liu Z L, Wang F. Comparison of wind data from ERA-Interim and buoys in the Yellow and East China Seas[J]. Chinese Journal of Oceanology and Limnology, 2015, 33(1):282-288.

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