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无线射频干扰对SMOS卫星盐度数据产品准确度的影响研究
引用本文:王新新,王祥,赵建华,范剑超,王进,韩震.无线射频干扰对SMOS卫星盐度数据产品准确度的影响研究[J].海洋学报,2017,39(11):141-147.
作者姓名:王新新  王祥  赵建华  范剑超  王进  韩震
作者单位:1.国家海洋环境监测中心 海域资源环境动态监管中心, 辽宁 大连 116023
基金项目:国家重点研发计划资助(海洋环境安全保障专项——盐度计海洋信息提取技术(2016YFC1401006));国家自然科学基金(61273307)。
摘    要:SMOS卫星数据发布以来,相关学者针对海表盐度数据开展了大量的真实性检验工作,但是在受无线射频干扰(RFI)影响海域开展的相关工作很少。本文以西太平洋海域为研究区域,选择合理的时空匹配窗口,将WOD13实测海表盐度数据与SMOS卫星单轨海表盐度数据进行数据匹配,采用统计学方法开展SMOS卫星数据真实性检验,并分析RFI对SMOS卫星数据的影响。结果表明,SMOS卫星受分布在西太平洋沿岸射频干扰源的影响,RFI污染高风险区单轨L2数据准确度相对较低,最优仅为3.45,RFI污染低风险区的卫星数据准确度最优为1.07,可见,RFI对单轨卫星数据准确度的影响很大,最终导致西太平洋海域西部大面积海域数据缺失,尤其是中国近海海域,如何检测和减缓RFI对卫星数据的影响是亟待解决的问题。

关 键 词:无线射频干扰    微波辐射    SMOS卫星    海表盐度    真实性检验
收稿时间:2016/10/19 0:00:00
修稿时间:2017/3/13 0:00:00

Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data
Wang Xinxin,Wang Xiang,Zhao Jianhu,Fan Jianchao,Wang Jin and Han Zhen.Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data[J].Acta Oceanologica Sinica (in Chinese),2017,39(11):141-147.
Authors:Wang Xinxin  Wang Xiang  Zhao Jianhu  Fan Jianchao  Wang Jin and Han Zhen
Affiliation:1.Marine Resources and Environment Monitoring Center, National Marine Environmental Monitoring Center, Dalian 116023, China2.College of Physics, Qingdao University, Qingdao 266071, China3.College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
Abstract:Scholars have done a lot of work in the assessment and validation of SMOS sea surface salinity (SSS) data since SMOS satellite data released, but rarely work have done in the Western Pacific Ocean(WPO) influenced by radio frequency interference (RFI), it will be of important significance on understanding of RFI influence on SMOS SSS date. The main method is matching the WOD13 in-situ SSS data with SMOS half-orbit SSS data, assessing the accuracy of SMOS data by statistics method. Results suggest that since SMOS is polluted by RFI sources located in west coast of the WPO, the RMSE of SMOS L2 SSS data in high risk area of RFI pollution is relatively low, and the highest RMSE can be achieved on 3.45, thus it can be seen that the RFI have a significant influence on SMOS satellite in the WPO, this has resulted in the loss of significant amount of data, especially in the China sea, how to detect and mitigate RFI is a scientific problem to be solved.
Keywords:radio frequency interference  microwave radiometry  SMOS satellite  sea surface salinity  validation
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