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.
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.
the Creative Commons Attribution 4.0 License.
Filtering method based on cluster analysis to avoid salinity drifts and recover Argo data in less time
Emmanuel Romero
Tecnológico Nacional de México/Instituto Tecnológico de La Paz, La Paz, México
Leonardo Tenorio-Fernandez
CORRESPONDING AUTHOR
CONACyT-Instituto Politécnico Nacional-Centro Interdisciplinario de Ciencias Marinas, La Paz, México
Iliana Castro
Tecnológico Nacional de México/Instituto Tecnológico de La Paz, La Paz, México
Marco Castro
Tecnológico Nacional de México/Instituto Tecnológico de La Paz, La Paz, México
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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.
Due to the need to obtain a greater amount of data in less time in areas with little in situ...