参考数据集对Argo剖面浮标盐度观测资料校正的影响

The effect of reference dataset on calibration of Argo profiling float salinity data

国际Argo计划采用新颖的Argo剖面浮标来监测全球大洋中上层的变化,对浮标盐度观测资料进行质量控制是非常重要的。本文采用历史水文观测资料集得到的温-盐度(-S)关系,并利用Wong等人开发的WJO延时模式盐度校正方法,对电导率传感器出现漂移、偏移等故障的Argo剖面浮标盐度资料进行校正。对影响校正结果的历史水文资料集(或参考数据集)的选取进行了初步研究,并在不同的海区进行试验。结果表明,选取合适的参考数据集可以提高盐度校正的精度。

The Argo project uses a number of Argo profiling floats to monitor the changes of upper oceans of the world, in which the quality control of salinity data is important. The historical hydrographic θ-S relations and the WJO delayed-mode salinity correction method developed by Wong et al. are used to correct the drift or offset in the salinity data. Meanwhile, some research work is made about the selection of the historical dataset, sliding window and mapping scale which may affect the calibration results, and several experiments are made in different ocean regions. The results show that choosing the right reference dataset could improve the precision of salinity correction.