Construction of Argo database and its application to fisheries
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    Abstract:

    Remote sensing data can not provide subsurface reference information for the offshore marine fisheries analysis. Subsurface environmental conditions are often needed to assist fisheries forecast. Argo profiles can provide the data from the surface to 2 000 m. An Argo database of subsurface sea conditions is established in supporting fisheries analysis. Argo data automatically download and update the database regularly from the GDacs server. Akima interpolation method is used to process Argo vertical profile data. Thermocline and halocline are worked out by analyzing the changes in temperature and salinity. Their depth, thickness, strength and other information are also calculated out. Inverse distance weighted interpolation method is used to plot the marine environmental information map. With fisheries information, maps can be well used in fisheries analysis.

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张胜茂,周皓明,周甦芳,杨胜龙,郑仰桥,樊 伟. Argo数据库的构建与渔业分析应用[J].上海海洋大学学报,2012,21(2):288-296.
ZHANG Shengmao, ZHOU Haoming, ZHOU Sufang, YANG Shenglong, ZHENG Yangqiao, FAN Wei. Construction of Argo database and its application to fisheries[J]. Journal of Shanghai Ocean University,2012,21(2):288-296.

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  • Received:
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  • Online: March 16,2012
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