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Improved atmospheric constraints on Southern Ocean CO2 exchange.
Jin, Yuming; Keeling, Ralph F; Stephens, Britton B; Long, Matthew C; Patra, Prabir K; Rödenbeck, Christian; Morgan, Eric J; Kort, Eric A; Sweeney, Colm.
  • Jin Y; Geosciences Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.
  • Keeling RF; Geosciences Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.
  • Stephens BB; Earth Observing Laboratory, National Center for Atmospheric Research, Boulder, CO 80307.
  • Long MC; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80307.
  • Patra PK; Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama 236-0001, Japan.
  • Rödenbeck C; Max Planck Institute for Biogeochemistry, Jena 07745, Germany.
  • Morgan EJ; Geosciences Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093.
  • Kort EA; Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109.
  • Sweeney C; Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80309.
Proc Natl Acad Sci U S A ; 121(6): e2309333121, 2024 Feb 06.
Article en En | MEDLINE | ID: mdl-38289951
ABSTRACT
We present improved estimates of air-sea CO2 exchange over three latitude bands of the Southern Ocean using atmospheric CO2 measurements from global airborne campaigns and an atmospheric 4-box inverse model based on a mass-indexed isentropic coordinate (Mθe). These flux estimates show two features not clearly resolved in previous estimates based on inverting surface CO2 measurements a weak winter-time outgassing in the polar region and a sharp phase transition of the seasonal flux cycles between polar/subpolar and subtropical regions. The estimates suggest much stronger summer-time uptake in the polar/subpolar regions than estimates derived through neural-network interpolation of pCO2 data obtained with profiling floats but somewhat weaker uptake than a recent study by Long et al. [Science 374, 1275-1280 (2021)], who used the same airborne data and multiple atmospheric transport models (ATMs) to constrain surface fluxes. Our study also uses moist static energy (MSE) budgets from reanalyses to show that most ATMs tend to have excessive diabatic mixing (transport across moist isentrope, θe, or Mθe surfaces) at high southern latitudes in the austral summer, which leads to biases in estimates of air-sea CO2 exchange. Furthermore, we show that the MSE-based constraint is consistent with an independent constraint on atmospheric mixing based on combining airborne and surface CO2 observations.
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