A three-dimensional temperature and salinity reconstruction system in the South China Sea

A three-dimensional temperature and salinity reconstruction system in the South China Sea
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DOI:
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发表时间:
2013
期刊:
Journal of Tropical Oceanography
影响因子:
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通讯作者:
Mao Qing-we
Mao Qing-we
中科院分区:
其他
文献类型:
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作者:
Mao Qing-we

文献摘要

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基于遥感海面温度(SST)和海面高度(SSH)数据,作者构建了南海(SCS)的三维网格温度和盐度。构建涉及统计分析和数据同化。根据现场数据对构建的温度和盐度进行独立验证表明,构建的温度和盐度与现场观测结果非常吻合。针对日常操作,基于MATLAB开发了动态构建的三维温度和盐度系统。通过与简单的界面交互,可以在 SCS 中以 1/4 度的分辨率检索和查看每个标准层中的近实时温度和盐度。此外,该系统还可以提供其他海洋环境参数,如混合层深度、水密度和声速等,以供进一步分析和可视化。
Based on remotely sensed sea surface temperature(SST) and sea surface height(SSH) data, the authors constructed temperature and salinity on three-dimensional grids in the South China Sea(SCS). The construction involved statistic analysis and data assimilation. Independent validations of the constructed temperature and salinity against in situ data revealed that the constructed temperature and salinity agree well with the in situ observations. For routine operations, a dynamically constructed three-dimensional temperature and salinity system was developed based on MATLAB. By interacting with a simple interface, the near real-time temperature and salinity in each standard layer can be retrieved and viewed on a 1/4-degree resolution in the SCS. In addition, other ocean environment parameters, such as mixed layer depth, water density and velocity of sound can also be provided by this system for further analysis and visualization.