Ocean Science
Ocean Science
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Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/os-17-1273-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-17-1273-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
17 Sep 2021
Research article |  | 17 Sep 2021

Filtering method based on cluster analysis to avoid salinity drifts and recover Argo data in less time

Emmanuel Romero, Leonardo Tenorio-Fernandez, Iliana Castro, and Marco Castro

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Latest update: 19 Nov 2024
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Short summary
Due to the need to obtain a greater amount of data in less time in areas with little in situ hydrographic data, an algorithm based on cluster analysis is proposed. This algorithm allows real-time quality control of Argo data which has patterns similar to data in delayed mode. To test this, a study area of high scientific interest but with little concentration of in situ data was chosen. In this area 80 % of the data normally discarded because of salinity drifts was recovered.
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