基于长时间序列ASAR数据的近海风场反演

发布时间：2018-03-06 03:20

本文选题：SAR　切入点：CCMP　出处：《遥感技术与应用》2016年06期 　论文类型：期刊论文

【摘要】：首先获取覆盖浙江省近海215景长时间序列多模式ASAR Level 1B数据,对获取的ASAR数据进行几何校正、辐射定标、极化比转化、噪声剔除后,将所有的影像统一重采样得到1km×1km分辨单元的后向散射系数影像,尝试利用CCMP风向作为SAR风速反演地球物理模式函数的风向初始场,对比目前国际上最常用的3种模式函数CMOD4、CMOD-IFR2和CMOD5的风速反演效果,将反演得到风速分别与CCMP插值风速和现场观测气象站点的风速进行对比,结果表明CCMP风向数据可作为SAR风速反演的风向初始场,其中结合CMOD4模式函数能够得到较高精度的反演风速,由于CCMP数据有效时间长、覆盖范围广、易于获取,因此联合CCMP风向有利于SAR近海风场反演的业务化应用。
[Abstract]:Firstly, the multimode ASAR Level 1B data covering 215 times offshore of Zhejiang Province are obtained. After geometric correction, radiometric calibration, polarization ratio conversion and noise elimination, the obtained ASAR data are calibrated. The backscattering coefficient images of 1km 脳 1km resolution unit are obtained by the unified resampling of all the images. The initial wind direction field of the geophysical model function is retrieved by using the CCMP wind direction as the SAR wind speed function. By comparing the results of wind speed inversion of CMOD4 CMOD-IFR2 and CMOD5, the wind speed obtained from the inversion is compared with that of CCMP interpolation wind speed and field observation meteorological station, respectively. The results show that the CCMP wind direction data can be used as the initial wind direction field of SAR wind speed inversion. The wind speed inversion can be obtained by combining the CMOD4 model function. Because of the long effective time and wide coverage of CCMP data, it is easy to obtain. Therefore, the combination of CCMP wind direction is beneficial to the operational application of SAR offshore wind field inversion.
【作者单位】：浙江大学遥感与信息技术应用重点实验室;杭州师范大学遥感与地球科学研究院;浙江省气候中心;
【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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