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Titel Vertical structure variability of the OMZ in the Eastern Tropical Pacific
VerfasserIn Boris Dewitte, Ivonne Montes, Aurélien Paulmier, Andreas Oschlies, Véronique Garçon
Konferenz EGU General Assembly 2013
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 15 (2013)
Datensatznummer 250083157
 
Zusammenfassung
The processes maintaining the Oxygen Minimum Zone (OMZ) of the Eastern Tropical Pacific are still uncertain. This region is embedded into the so-called shadow zone of the eastern Pacific so that the weak thermocline ventilation is the background mechanism that explains to some extent its mean spatial structure. However biogeochemical processes take place in regions where the environment is highly variable leading to characteristic vertical scales of variability of the minimum O2 concentration that do not necessarily reflects the ocean dynamics. This can be the case for instance near the coast in the vicinity of the thermocline which is connected to the remote equatorial variability (Kelvin wave) or/and locally wind forced. Here we document the vertical structure variability of the OMZ from regional biogeochemical coupled model simulations. We use the linear formalism of the ocean dynamics to define metrics of the O2 vertical structure variability in order to compare the different timescales and support the interpretation. The model is forced by climatological boundary conditions but, due to the non-linear nature of the coupled system, it also allows assessing the vertical structure variability associated to intraseasonal and interannual timescales. The results indicate that at seasonal timescale the relatively large vertical scales of variability of the O2 can be interpreted to some extent as resulting from the advection of the minimum O2 concentration by the vertically propagating oceanic variability. At intraseasonal (interannual) timescales, within the model configuration, the minimum O2 concentration variability is confined within the oxycline, with vertical scales of the order of ~ 200m. We also illustrate the sensitivity of the results to the resolution and model configuration (location of boundaries).