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《Periodical of Ocean University of China》 2015-08
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Method and Software for Eliminate Duplicate Data for WOD and Argo Datasets

JI Feng-Ying;YU Ting;DONG Ming-Mei;LIANG Jian-Feng;National Marine Data and Information Service;Ocean University of China;University of Tianjin;  
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.
【Fund】: 国家自然科学基金项目(41406024)资助
【CateGory Index】: P714.1;TP311.52
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