Publications des scientifiques de l'IRD

Prend C. J., Keerthi M. G., Levy Marina, Aumont Olivier, Gille S. T., Talley L. D. (2022). Sub-seasonal forcing drives year-to-year variations of Southern Ocean primary productivity. Global Biogeochemical Cycles, 36 (7), p. e2022GB007329 [15 p.]. ISSN 0886-6236.

Titre du document
Sub-seasonal forcing drives year-to-year variations of Southern Ocean primary productivity
Année de publication
2022
Type de document
Article référencé dans le Web of Science WOS:000819245500001
Auteurs
Prend C. J., Keerthi M. G., Levy Marina, Aumont Olivier, Gille S. T., Talley L. D.
Source
Global Biogeochemical Cycles, 2022, 36 (7), p. e2022GB007329 [15 p.] ISSN 0886-6236
Primary productivity in the Southern Ocean plays a key role in global biogeochemical cycles. While much focus has been placed on phytoplankton production seasonality, non-seasonal fluctuations exceed the amplitude of the seasonal cycle across large swaths of the Antarctic Circumpolar Current. This non-seasonal variability comprises a broad range of timescales from sub-seasonal (<3 months) to multi-annual (>1 year), all of which can project onto the annual mean value. However, year-to-year variations of surface chlorophyll (SChl), a proxy for phytoplankton biomass, are typically attributed to ocean circulation changes associated with the Southern Annular Mode (SAM), which implicitly assumes that sub-seasonal variability averages to near-zero over long timescales. Here, we test this assumption by applying a timeseries decomposition method to satellite-derived SChl in order to separate the low-frequency and high-frequency contributions to the non-seasonal variability. We find that throughout most of the Southern Ocean, year-to-year SChl variations are dominated by the sub-seasonal component, which is not strongly correlated with the SAM. The multi-annual component, while correlated with the SAM, only accounts for about 10% of the total SChl variance. This suggests that changes in annual mean SChl are related to intermittent forcing at small scales, rather than low-frequency climate variability, and thus do not remain correlated over large regions.
Plan de classement
Sciences du milieu [021] ; Ecologie, systèmes aquatiques [036] ; Télédétection [126]
Description Géographique
OCEAN AUSTRAL
Localisation
Fonds IRD [F B010085334]
Identifiant IRD
fdi:010085334
Contact