Data/hora: 16/06/2024 06:34:07

Provedor de dados: | 5
País: | France
Título: | Eastern Tropical Atlantic Mixed Layer Depth: Assessment of Methods from In Situ Profiles in the Gulf of Guinea from Coastal to High Sea
Autores: | N’guessan, Benjamin Kouadio; Kouassi, Aka Marcel; Trokourey, Albert; Toualy, Elisée; Kanga, Desiré Kouamé; Brehmer, Patrice.
Data: | 2020-04
Ano: | 2020
Palavras-chave: | Mixed layer depth; Gulf of Guinea; Atlantic Ocean; Density; Temperature.
Resumo: | To assess the eastern Atlantic tropical mixed layer depth (MLD) at 4°W in the Gulf of Guinea, water temperature and density profiles from over five hundred historical observational Conductivity – Temperature - Depth (CTD) data were used. These data, obtained from key oceanographic survey databases covering 60 years (1956 to 2016) were used for a numerical and visual determination of the MLD. The numerical approach consists of the use of the algorithms of three methods; while the visual estimation of the MLD were made on both temperature and density profiles. The numerical approaches were evaluated by comparing their results on the determination of tropical MLD with those of the visual inspections by means of statistical and graphical analysis in order to determine the most suitable method for the determination of MLD in the study area. Our results show that the Boyer Montegut density threshold method (potential density) with the constant criterion Δσ = 0.03 kg.m−3 and a reference depth of ten meters is the most appropriate for determining the MLD in the Gulf of Guinea regardless the season. However, in the situation where only temperature profiles are available it is advisable to estimate MLD using the Lorbacher curvative method.
Tipo: | Text
Idioma: | Inglês

Identificador:

https://archimer.ifremer.fr/doc/00599/71115/75615.pdf

DOI:10.1007/s41208-019-00179-7

https://archimer.ifremer.fr/doc/00599/71115/

Editor: | Springer Science and Business Media LLC
Relação: | info:eu-repo/grantAgreement/EC/FP7/603521/EU//PREFACE
Formato: | application/pdf
Fonte: | Thalassas (0212-5919) (Springer Science and Business Media LLC), 2020-04 , Vol. 36 , N. 1 , P. 201-212

Fonte:

info:eu-repo/semantics/openAccess

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