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作 者:纪风颖[1] 于婷[1,2] 董明媚[1,3] 梁建锋[1]
机构地区:[1]国家海洋信息中心,天津300171 [2]中国海洋大学,山东青岛266100 [3]天津大学,天津300171
出 处:《中国海洋大学学报(自然科学版)》2015年第8期121-127,共7页Periodical of Ocean University of China
基 金:国家自然科学基金项目(41406024)资助
摘 要:海水的温度和盐度是描述海水性质的重要物理量,其时空分布和变化几乎与海洋中所有现象都有密切的联系。因此世界各国都非常重视对海水温度和盐度的观测。自1772年第一个海水温度观测数据记录在案,截至目前全球已经积累了2 000多万站次的温盐数据。由于目前海洋调查中仪器自动观测、卫星传输数据的特点,导致同一个观测数据会被重复定位和传送接收多次,而国际上不同的数据收集计划,导致同一个数据也被不同的数据集所收集。这些被重复收集的数据,可能会造成错误的海洋特性的研究与分析结果。针对多来源重复收集的国际海洋数据问题,首先根据观测仪器精度、观测频率,研究设定了不同仪器重复数据判断参数。基于海量处理功能和人工交互式操作的需求,基于Windows平台,在Win32体系架构下,选用Visual C++6.0作为项目开发工具,图形显示部分则直接调用图形显示功能比较强大MATLAB的图形函数库完成,使用窗口嵌入技术将MATLAB图形库生成的图形完美融合到VC开发的界面中,实现了海量温盐数据的准确排重。对目前应用最为广泛的海洋数据集(World Ocean Database,WOD)数据集、Argo浮标数据集进行了数据集内和数据集间的排重,为温盐数据集的整合奠定了基础。Temperature and salinity are essential quantities of oceanography,their distribution and varieties are closely related to almost all the process of ocean.They have been the major focus of oceanography observation in many countries.Until now more than 20 million temperature and salinity casts have been acquired since the first temperature were recorded in 1 772.Because of the automatic observing nature and data transferring by satellite,a station may be transferred and received many times.In the meantime,some data may be repeatedly collected by different projects and shared by data exchanges.These duplicate data may induce error in oceanographic analysis and research work.In order to eliminate the duplicates,the primary step is to study and confirm the threshold parameters for data from different instruments based on the accuracy,transferred frequency.Then based on requirements of mass data processing functions and manual interactive operation,Visual C ++6.0is chosen as the project development tool while the MATLAB graphics library is for powerful graphical display part is used for which is more directly using.Under windows platform and Win32 system,MATLAB graphics are embedded with VC interface to eliminate duplicate data from massive temperature and salinity data can be successfully accomplished.Currently this software area applied to check ocean temperature and salinity data from the most widely used dataset,WOD(world ocean database)and Argo dataset,and got the satisfied result,which lay the strong foundation for future dataset integration.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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