同极化Radarsat-2数据的海面风速反演研究
发布时间：2019-06-16 18:20
【摘要】：基于Radarsat-2雷达数据具有多极化方式、多分辨率等成像模式的特点,以中国东部海域为研究区选取多景Radarsat-2影像进行海面风速反演研究。采用导入ERA-Interim数据构建初始海面风向的方法,针对不同极化方式的Radarsat-2数据,利用GMF模型和极化率模型组合进行海面风速反演,并将反演风速与ERA-Interim风速数据进行比较分析。结果表明:对于VV极化的Radarsat-2数据采用3种GMF模型均可反演出较高精度的海面风速,其中CMOD4模型总体表现好于其他二者,其均方根误差可达到1.5m/s以内;HH极化Radarsat-2数据采用Kirchhoff模型进行极化转换更适用于海面风速的反演,3种GMF模型之间反演效果差异不大,其均方根误差均在2m/s以内。同时,研究发现VV和HH极化的Radarsat-2数据均表现出高分辨率成像模式影像的风速反演效果优于低分辨率成像模式的特点。
[Abstract]:Based on the characteristics of multi-polarization mode and multi-resolution imaging mode of Radarsat-2 radar data, the multi-scene Radarsat-2 images are selected for the study area in the eastern China Sea area for the study of sea surface wind speed inversion. The method of importing ERA-Interim data to construct the initial sea surface wind direction is used to construct the initial sea surface wind direction. Aiming at the Radarsat-2 data of different polarization modes, the sea surface wind speed inversion is carried out by using the combination of GMF model and polarizability model, and the inversion wind speed and ERA-Interim wind speed data are compared and analyzed. The results show that the high precision sea surface wind speed can be obtained by using three kinds of GMF models for VV polarized Radarsat-2 data, in which the CMOD4 model is better than the other two, and its root mean square error can reach less than 1.5m/s, and the polarization conversion of HH polarization Radarsat-2 data is more suitable for the inversion of sea surface wind speed, and the inversion effect of the three GMF models is not different, and the root mean square error is all within 2m/s. At the same time, it is found that both VV and HH polarized Radarsat-2 data show that the wind speed inversion effect of high resolution imaging mode image is better than that of low resolution imaging mode.
【作者单位】： 浙江大学农业遥感与信息技术应用研究所;江苏省气候中心;山东省气候中心;杭州师范大学遥感与地球科学研究院;
【基金】：公益性行业(气象)科研专项“多源测风资料融合技术研究及其在风能资源评估中的应用”(GYHY201306050) 浙江省科技计划项目“近海面风场遥感协同反演方法研究及其应用”(2013C33068)
【分类号】：P714.2;P715.7
本文编号：2500729
[Abstract]:Based on the characteristics of multi-polarization mode and multi-resolution imaging mode of Radarsat-2 radar data, the multi-scene Radarsat-2 images are selected for the study area in the eastern China Sea area for the study of sea surface wind speed inversion. The method of importing ERA-Interim data to construct the initial sea surface wind direction is used to construct the initial sea surface wind direction. Aiming at the Radarsat-2 data of different polarization modes, the sea surface wind speed inversion is carried out by using the combination of GMF model and polarizability model, and the inversion wind speed and ERA-Interim wind speed data are compared and analyzed. The results show that the high precision sea surface wind speed can be obtained by using three kinds of GMF models for VV polarized Radarsat-2 data, in which the CMOD4 model is better than the other two, and its root mean square error can reach less than 1.5m/s, and the polarization conversion of HH polarization Radarsat-2 data is more suitable for the inversion of sea surface wind speed, and the inversion effect of the three GMF models is not different, and the root mean square error is all within 2m/s. At the same time, it is found that both VV and HH polarized Radarsat-2 data show that the wind speed inversion effect of high resolution imaging mode image is better than that of low resolution imaging mode.
【作者单位】： 浙江大学农业遥感与信息技术应用研究所;江苏省气候中心;山东省气候中心;杭州师范大学遥感与地球科学研究院;
【基金】：公益性行业(气象)科研专项“多源测风资料融合技术研究及其在风能资源评估中的应用”(GYHY201306050) 浙江省科技计划项目“近海面风场遥感协同反演方法研究及其应用”(2013C33068)
【分类号】：P714.2;P715.7
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