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HY-2雷达高度计海面高度定标技术研究

发布时间:2018-07-08 18:15

  本文选题:HY-2卫星 + 雷达高度计 ; 参考:《中国海洋大学》2014年博士论文


【摘要】:卫星雷达高度计已经成为了研究海洋和气候变化的有力工具(以下简称高度计),它以前所未有的精度提供了大量宝贵的全球海洋动力环境观测数据,已经成功运用在海洋防灾减灾、海洋资源开发和全球变化研究等诸多领域,并发挥了重要的作用。随着高度计数据应用研究的深入和研究领域的拓展,对观测数据的定量化应用提出了更高的要求。其严格精准的定标是高度计广泛应用的前提,它直接影响着卫星产品数据的精度和质量。我国HY-2卫星雷达高度计自2011年8月发射至今已有两年多时间,通过在轨测试表明:高度计各项技术指标基本满足应用需求。但对于高度计获取的重要海洋动力环境参数(海面高度)的绝对定标工作以及数据产品质量的评估尚未形成高精确、可靠、标准的处理流程,极大制约了高度计数据产品的定量化应用。为此,本论文围绕HY-2卫星高度计海面高度定标技术开展应用研究,旨在突破测高误差修正、交叉点定标和基于现场观测绝对定标中的关键技术。本文研究成果经进一步检验和评估后将纳入HY-2卫星高度计定标和检验分系统的业务处理中,可为HY-2卫星地面数据处理系统中高度计数据处理和定标及检验的业务化运行提供了技术支撑。 高度计海面高度绝对定标是一项涉及多个领域知识的、复杂的数据处理过程。论文首先以全球变化背景下的海洋观测中高度计所扮演的关键角色来开展本研究工作,对高度计测高原理和主要关键技术展开深入探讨,然后针对HY-2卫星高度计海面高度定标有关的环节进行了深入研究,其主要研究内容包括定标过程中所涉及的海况、大气、地球物理环境因素等各项误差源的修正、交叉定标、现场定标和对专用定标场建设的研究等方面,具体研究工作及创新点如下: 1)误差源对高度计观测的精度有重要影响,论文对高度计海面高度定标中所涉及的主要误差源进行了研究和分析,基于国外同类卫星高度计Jason-2数据的修正项和独立模型/算法的结果一致性较好,两者的均方根误差为2.97cm,表明独立模型和算法的误差修正结果准确可靠,并可用于高度计定标和检验。 2)基于独立模型/算法,研究得出了HY-2卫星高度计海面高度(SSH)相对于参考任务Jason-2的交叉定标结果,其平均相对偏差为0.26cm,均方根误差为6.61cm,交叉定标精度达到国际同类高度计精度水平。 3)基于现场观测数据的绝对定标能给出绝对意义上的高度计海面高度定标参数,提出了一种切实可行的基于岸基验潮仪水位外推的高度计绝对定标方法,海上试验表明此方法精度达到1.88±0.20cm,,由此可知此方法满足业务化高度计定标检验。 4)本文对海上定标场的建设进行了多个方面的研究和分析,给出了我国在定标场建设中的选址原则、观测仪器配置和场区选址等方面的建议,它是开展绝对定标技术的关键,为我国建设HY-2定标场提供了技术支撑,意义重大
[Abstract]:Satellite radar altimeter has become a powerful tool for researching ocean and climate change ( hereinafter referred to as altimeter ) . It has provided a lot of valuable global marine dynamic environment observation data with unprecedented precision . It has been successfully applied in the field of ocean disaster prevention and mitigation , marine resources development and global change research .

The altitude absolute calibration of altimeter is a complex data processing process involving knowledge in many fields . First , this research work is carried out with the key role played by the altimeter in the background of global change . The main research contents include the correction of various error sources such as sea condition , atmosphere , geophysical environment factor , etc . in the process of calibration . The main research contents include the following aspects : sea condition , atmosphere , geophysical environment factor , etc . , and the research work and innovation points are as follows :

1 ) The error source has an important influence on the accuracy of altimeter observation . The paper studies and analyzes the main error sources involved in the height calibration of altimeter sea level . The results of the modified term and the independent model / algorithm based on the data from the same satellite altimeter are 2.97cm , indicating that the error correction results of the independent model and algorithm are accurate and reliable , and can be used for the calibration and inspection of altimeter .

2 ) Based on the independent model / algorithm , the cross - scaling results of HY - 2 satellite altimeter sea level ( SSH ) with respect to the reference task Jason - 2 are obtained . The average relative deviation is 0.26 cm , the root mean square error is 6.61cm , and the precision of the cross calibration reaches the precision level of the internationally similar altimeter .

3 ) Based on the absolute calibration of the field observation data , an absolute calibration method of altimeter sea level in absolute sense is given , and a feasible absolute calibration method based on shore - based tide gauge water level extrapolation is proposed . The sea test shows that the accuracy of this method is 1 . 88 卤 0 . 20 cm . Therefore , it can be seen that this method meets the calibration test of business altimeter .

4 ) In this paper , the research and analysis of the construction of the calibration field at sea are carried out , and the selection principle , the configuration of the observation instrument and the site selection of the site are given . It is the key to carry out the absolute calibration technique . It provides the technical support for the construction of HY - 2 calibration field in China . It is of great significance
【学位授予单位】:中国海洋大学
【学位级别】:博士
【学位授予年份】:2014
【分类号】:P715.6

【参考文献】

相关期刊论文 前10条

1 董晓军,黄s

本文编号:2108289


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