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| Gallian, Marine; Thierry, Virginie. |
| As part of the french Equipex NAOS and European H2020 AtlantOS projects, the LOPS is in charge of (1) Implementing and maintaining an array of Argo floats equipped with oxygen sensors in the North-Atlantic Ocean; (2) Performing the quality control of the oxygen data acquired by those floats; (3) Transmitting the qualified data to the Coriolis data center To achieve the last two objectives, the LOPS has developed a Matlab tool (LOCODOX) to correct Argo Oxygen data based on reference datasets. The qualification procedure is done in different steps: (1) Correct the real-time Quality Control flag (QC) in order to put a QC=4 (bad data) to the outliers and "hooks" at the base of the profiles (generally over the first 50m of the ascending profile); (2) When... |
| Tipo: Text |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00471/58314/60860.pdf |
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| Thierry, Virginie; Brion, Emilie; Gallian, Marine; Reynaud, Thierry; Bouinot, Thomas; Lagadec, Catherine; Piron, Anne; Zunino Rodriguez, Patricia. |
| LOCODOX is a MATLAB based interactive software that corrects dissolved oxygen concentration data acquired by Argo profiling floats. The correction schemes are based on Takeshita et al (2013) and Bittig and Kortzinger (2018). Three types of correction are proposed : a pressure dependent correction, a time drift correction and a slope/ offset correction (also called Gain correction). LOCODOX works with Argo v3.1 netcdf files and provides files with corrected and well formatted delayed mode Argo data compliant with the Argo format (Argo Data Management Team, 2019). LOCODOX corrects only oxygen data available in the vertical profiles. This document describes the methodology and the strategy followed by the tool, and it explains how to install and use LOCODOX. |
| Tipo: Text |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00630/74190/73791.pdf |
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