<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Sub-seasonal forcing drives year-to-year variations of Southern Ocean primary productivity</dc:title>
  <dc:creator>Prend, C. J.</dc:creator>
  <dc:creator>Keerthi, M. G.</dc:creator>
  <dc:creator>/Levy, Marina</dc:creator>
  <dc:creator>/Aumont, Olivier</dc:creator>
  <dc:creator>Gille, S. T.</dc:creator>
  <dc:creator>Talley, L. D.</dc:creator>
  <dc:description>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 (&lt;3 months) to multi-annual (&gt;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.</dc:description>
  <dc:date>2022</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010085334</dc:identifier>
  <dc:identifier>fdi:010085334</dc:identifier>
  <dc:identifier>Prend C. J., Keerthi M. G., Levy Marina, Aumont Olivier, Gille S. T., Talley L. D.. Sub-seasonal forcing drives year-to-year variations of Southern Ocean primary productivity. 2022, 36 (7),  e2022GB007329 [15 p.]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>OCEAN AUSTRAL</dc:coverage>
</oai_dc:dc>
