刘烨, 邢小罡
自然资源部第二海洋研究所, 浙江 杭州 310012

摘要:
Argo剖面浮标已成为海洋溶解氧观测数据的主要来源，截至2018年7月已在全球范围内获取了超过13万条溶解氧剖面，然而目前其数据的质量控制仍然存在不足。本文首先介绍了Argo浮标上携带的溶解氧传感器的测量原理、主要误差来源以及两种校正方法：气候态校正法与空气测量校正法，并提出了目前在溶解氧传感器数据质量控制研究亟需解决的技术问题，包括：①由于传感器伸出水面的高度不够，一些浮标并不能有效测量空气氧含量，因为无法进行空气测量校正方法；②Argo观测的溶解氧数据库中目前存在一些异常测量剖面没有得到有效剔除，影响校正系数的计算；③使用平均值确定校正系数的方法容易受到异常剖面的干扰。
关键词:Argo浮标溶解氧质量控制空气测量气候态校正方法
DOI：10.11759/hykx20181102001
分类号:
基金项目:中央级公益性科研院所基本科研业务费专项资金资助项目（QNYC1702，14283）

Sensor principle and quality control of the dissolved oxygen data observed using Argo floats
LIU Ye, XING Xiao-gang
Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
Abstract:
Argo floats have become the major source of marine dissolved oxygen data and have acquired more than 130 thousand profiles of global oceans up to July 2018. However, the oxygen data quality control still exhibits some deficiencies. Here, we introduced a measurement principle for the oxygen sensors on the Argo floats, the main source of the data errors, and the following two types of correction methods:climatology-based and In-air-measurement-based. We further addressed some unresolved issues with respect to the Argo-based oxygen data quality control:① The In-air measurements of some floats are not viable for determining the correction coefficient because the sensors on the floats are not adequately elevated to observe the oxygen concentration in the air; ② two current correction methods use the average value as the correction coefficient, which is vulnerable to an abnormal value. Therefore, we suggest the use of the median value; and ③ most importantly, there is no method for detecting and eliminating the abnormal profiles from all the Argo-observed oxygen datasets.
Key words:Argo floatsdissolved oxygenquality controlaerial measurementclimatology-based correction method





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