A climatology‐based quality control procedure for profiling float oxygen data
A climatology‐based quality control procedure for profiling float oxygen data
复制标题
基于气候学的质量控制程序，用于分析浮子氧数据
DOI：
10.1002/jgrc.20399
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发表时间：
2013
影响因子：
--
通讯作者：
B. Tilbrook
中科院分区：
文献类型：
--
作者：
Y. Takeshita;T. Martz;K. Johnson;J. Plant;D. Gilbert;S. Riser;C. Neill;B. Tilbrook
[1] 已部署超过 450 个配备氧气传感器的 Argo 剖面浮标，但海洋学界尚未采用供 Argo 数据中心使用的质量控制 (QC) 协议。因此，不断增长的浮氧数据集作为一个整体并不能轻易地用于多种类型的生物地球化学研究。在这里，我们提出了一个简单的程序，可用于通过将浮子数据与每月气候学（世界海洋地图集 2009）进行比较来纠正浮子氧分析数据中的一阶误差（偏移和漂移）。计算了整个阵列的浮点特定校正项。该质量控制程序的评估方式如下：(1) 将气候学得出的校正系数与 14 个浮标的离散样本得出的校正系数进行比较，以及 (2) 比较在部署前已校准两次的 7 个浮标的校正系数（一次在工厂，一次在内部），第二次校准表面上比第一次更准确。此处提出的修正将大多数浮氧测量值限制在表面的 3% 以上。
[1] Over 450 Argo profiling floats equipped with oxygen sensors have been deployed, but no quality control (QC) protocols have been adopted by the oceanographic community for use by Argo data centers. As a consequence, the growing float oxygen data set as a whole is not readily utilized for many types of biogeochemical studies. Here we present a simple procedure that can be used to correct first-order errors (offset and drift) in profiling float oxygen data by comparing float data to a monthly climatology (World Ocean Atlas 2009). Float specific correction terms for the entire array were calculated. This QC procedure was evaluated by (1) comparing the climatology-derived correction coefficients to those derived from discrete samples for 14 floats and (2) comparing correction coefficients for seven floats that had been calibrated twice prior to deployment (once in the factory and once in-house), with the second calibration ostensibly more accurate than the first. The corrections presented here constrain most float oxygen measurements to better than 3% at the surface.
一种新颖的氧传感器电化学校准装置及其用于 Aanderaa 光极稳定性评估的用途
DOI：
10.4319/lom.2012.10.921
发表时间：
2012
期刊：
Limnology and Oceanography: Methods
影响因子：
--
作者：
Bittig;B. Fiedler;T. Steinhoff;A. Körtzinger
通讯作者：
A. Körtzinger