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The Effect of Reference dataset
on Calibration of Argo Profiling Float Salinity Data

LIU Zeng-hong1,2   XU Jian—ping1,2 XIU Yi-rui3 SUN Chao-hui1,2
1) Second Institute of Oceanography, SOA, Hangzhou 310012
2) Laboratory of Ocean Dynamic Processes and Satellite Oceanography, SOA, Hangzhou 310012
3) Navy Marine hydrometeorological Center of the Chinese People’s Liberation Army, Beijing 100073

Abstract: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 q - 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.

Key Words:Argo profiling float; Delayed-mode; Quality Control; Salinity correction