Departamento de Oceanología, Instituto Politécnico Nacional–Centro Interdisciplinario de Ciencias Marinas (IPN–CICIMAR), Av. IPN s/n, La Paz, B.C.S., 23096, Mexico
Departamento de Oceanología, Instituto Politécnico Nacional–Centro Interdisciplinario de Ciencias Marinas (IPN–CICIMAR), Av. IPN s/n, La Paz, B.C.S., 23096, Mexico
CONAHCyT, Consejo Nacional de Humanidades Ciencia y Tecnología, Av. Insurgentes Sur 1582, Col. Crédito Constructor, Alcaldía Benito Juárez, C.P. 03940, Mexico City, Mexico
Departamento de Oceanología, Instituto Politécnico Nacional–Centro Interdisciplinario de Ciencias Marinas (IPN–CICIMAR), Av. IPN s/n, La Paz, B.C.S., 23096, Mexico
Viewed
Total article views: 5,480 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,275
1,101
104
5,480
210
115
125
HTML: 4,275
PDF: 1,101
XML: 104
Total: 5,480
Supplement: 210
BibTeX: 115
EndNote: 125
Views and downloads (calculated since 29 Aug 2022)
Cumulative views and downloads
(calculated since 29 Aug 2022)
Total article views: 4,710 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,809
820
81
4,710
153
106
117
HTML: 3,809
PDF: 820
XML: 81
Total: 4,710
Supplement: 153
BibTeX: 106
EndNote: 117
Views and downloads (calculated since 22 Jun 2023)
Cumulative views and downloads
(calculated since 22 Jun 2023)
Total article views: 770 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
466
281
23
770
57
9
8
HTML: 466
PDF: 281
XML: 23
Total: 770
Supplement: 57
BibTeX: 9
EndNote: 8
Views and downloads (calculated since 29 Aug 2022)
Cumulative views and downloads
(calculated since 29 Aug 2022)
Viewed (geographical distribution)
Total article views: 5,480 (including HTML, PDF, and XML)
Thereof 5,287 with geography defined
and 193 with unknown origin.
Total article views: 4,710 (including HTML, PDF, and XML)
Thereof 4,533 with geography defined
and 177 with unknown origin.
Total article views: 770 (including HTML, PDF, and XML)
Thereof 754 with geography defined
and 16 with unknown origin.
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.
In this study, we present a methodology to locate the minimum and maximum depths of the...
