华东师范大学学报（自然科学版） ›› 2022, Vol. 2022 ›› Issue (3): 125-136.doi: 10.3969/j.issn.1000-5641.2022.03.013

• 河口海岸学 • 上一篇    

基于哨兵1号的台风风场反演方法研究

于鹏1(), 钟小菁2,*(), 耿旭朴3   

  1. 1. 厦门理工学院 计算机与信息工程学院, 福建 厦门　361024
    2. 集美大学 港口与海岸工程学院,福建 厦门　361021
    3. 厦门大学 近海海洋环境科学国家重点实验室, 福建 厦门　361102
  • 收稿日期:2021-06-16 接受日期:2021-10-25 出版日期:2022-05-25 发布日期:2022-05-19
  • 通讯作者: 钟小菁 E-mail:yupeng@xmut.edu.cn;xjzhong@jmu.edu.cn
  • 作者简介:于　鹏, 男, 博士, 研究方向为海岸带资源与环境遥感. E-mail: yupeng@xmut.edu.cn
  • 基金资助:
    国家自然科学基金 (41906184); 福建省自然科学基金 (2020J05232); 厦门理工学院高层次人才项目 (YKJ20005R)

Inversion methods for typhoon wind fields using Sentinel-1

Peng YU1(), Xiaojing ZHONG2,*(), Xupu GENG3   

  1. 1. College of Computer and Information Engineering, Xiamen University of Technology, Xiamen Fujian　361024, China
    2. College of Harbour and Coastal Engineering, Jimei University, Xiamen Fujian　361021, China
    3. State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen Fujian　361102, China
  • Received:2021-06-16 Accepted:2021-10-25 Online:2022-05-25 Published:2022-05-19
  • Contact: Xiaojing ZHONG E-mail:yupeng@xmut.edu.cn;xjzhong@jmu.edu.cn

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摘要：

合成孔径雷达 (Synthetic Aperture Radar, SAR) 的交叉极化数据在高风速条件下不会出现信号饱和现象, 能够在全天时和全天候的条件下提供大范围的高风速风场信息, 在台风监测上具有极大的潜力. 欧空局发射的哨兵1号卫星是目前少数几颗可提供交叉极化数据的在轨SAR卫星, 以该系列卫星的交叉极化影像为数据源, 利用2011—2021年十年来开发的C波段交叉极化海洋模型 (C-band Cross Polarization Ocean model, C-2PO) 、C波段交叉极化耦合参数海洋模型 (C-band Cross-Polarization Coupled-Parameters Ocean model, C-3PO) 及全极化条带交叉极化模型 (Quad-polarization Stripmap Cross-polarization model, QPS-CP) 等7种模型, 对2020年的“海高斯”和“莫拉菲”两个台风的风场进行了估算, 并将噪音去除的方法应用于超宽幅模式影像的处理. 结果表明, 噪音去除方法的应用可以有效减弱噪音对台风影像的影响, 改善风场反演的结果. 在反演高风速时, C-3PO模型的相对误差较小, 但与哨兵1号海洋产品的对比分析发现, 其在中低风速的估算上存在一定误差; 交叉极化模型结果与已有风场产品的融合, 能够很好地再现台风外部中低风速以及内部的海表高风速信息, 对于台风监测、台风致灾的模拟预报和研究具有重要的参考价值.

关键词: 哨兵1号, 台风, 合成孔径雷达, 交叉极化

Abstract:

Under high-speed wind conditions, cross-polarization synthetic aperture radar (SAR) is not affected by signal saturation. Hence, SAR can be used to observe expansive, high-speed wind fields under all-weather, day- and night-time conditions and offers great potential for monitoring typhoons. Sentinel-1, which was launched by the European Space Agency (ESA), is one of the few available SAR satellites in orbit at present that can provide cross-polarization data. Based on Sentinel-1 cross-polarization data, seven different cross-polarization models, including the C-band cross polarization ocean model (C-2PO), C-band cross-polarization coupled-parameters ocean model (C-3PO), and quad-polarization stripmap cross-polarization model (QPS-CP), developed from 2011 to 2021 were used to estimate the typhoon wind fields of Higos and Molave. A denoising method was applied to remove the noise from extra wide (EW) mode SAR images. The results show that the denoising method can effectively reduce the noise and improve the retrieved wind fields. The C-3PO model performs well in monitoring high-speed winds, but does not obtain reliable results for low- to moderate-speed winds compared with the Sentinel-1 Level-2 Ocean (OCN) product. By merging results from the cross-polarization model and the OCN wind product, the combined wind field can effectively reproduce the inner high-speed winds and outer relative low-speed winds. This study is of significant value for forecasting, data assimilation, and research of typhoon disasters.

Key words: Sentinel-1, typhoon, SAR, cross-polarization

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