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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                                                In this study, we present a methodology to locate the minimum and maximum depths of the strongest thermocline, its thickness, and its strength by adjusting the sigmoid function to the temperature profiles in the global ocean. The results of the methodology are compared with the results of other methods found in the literature, and an assessment of the ocean regions where the adjustment is valid is provided. The method proposed here has shown to be robust and easy to apply.
                                            
                                            
                                        Efraín Moreles, Emmanuel Romero, Karina Ramos-Musalem, and Leonardo Tenorio-Fernandez
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                                    Short summary
                                            
                                                The mixed layer, where ocean properties are uniform, is key to ocean dynamics and ocean-atmosphere interactions. We propose an alternative definition of the mixed layer as the layer in which water parcels can move with little or no work. This approach provides realistic estimates of mixed-layer depth across space and time under diverse ocean conditions. It has potential implications for improving our understanding of various ocean-atmosphere phenomena, including dynamic and thermodynamic ones.
                                            
                                            
                                        Efraín Moreles, Emmanuel Romero, and Benjamín Martínez-López
                                        EGUsphere, https://doi.org/10.5194/egusphere-2025-3359, https://doi.org/10.5194/egusphere-2025-3359, 2025
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                                                We propose an approach to quantify energy barriers to the vertical movement (upward-downward) of water parcels in diverse aquatic bodies, which are associated with the vertical variation in density (stratification). The approach analyzes these barriers in detail and provides an objective measure of stratification intensity in any vertical section of the water column. This approach can enhance our understanding of the effects of stratification on diverse ocean-atmosphere interaction processes.
                                            
                                            
                                        Emmanuel Romero, Leonardo Tenorio-Fernandez, Esther Portela, Jorge Montes-Aréchiga, and Laura Sánchez-Velasco
                                    Ocean Sci., 19, 887–901, https://doi.org/10.5194/os-19-887-2023, https://doi.org/10.5194/os-19-887-2023, 2023
                                    Short summary
                                    Short summary
                                            
                                                In this study, we present a methodology to locate the minimum and maximum depths of the strongest thermocline, its thickness, and its strength by adjusting the sigmoid function to the temperature profiles in the global ocean. The results of the methodology are compared with the results of other methods found in the literature, and an assessment of the ocean regions where the adjustment is valid is provided. The method proposed here has shown to be robust and easy to apply.
                                            
                                            
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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...