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

Model code and software

romeroqe/cluster_qc: Filtering Methods based on cluster analysis for Argo Data Emmanuel Romero; Leonardo Tenorio-Fernandez; Iliana Castro; Marco Castro

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.