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1. Calculating surface ocean pCO 2 from biogeochemical Argo floats equipped with pH: An uncertainty analysis: Calculating Ocean pCO 2 From Float pH

   https://doi.org/10.1002/2016GB005541  

   Williams, N. L. ; Juranek, L. W. ; Feely, R. A. ; Johnson, K. S. ; Sarmiento, J. L. ; Talley, L. D. ; Dickson, A. G. ; Gray, A. R. ; Wanninkhof, R. ; Russell, J. L. ; et al ( March 2017 , Global Biogeochemical Cycles)
2. The ECCO‐Darwin Data‐Assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multidecadal Surface Ocean p CO 2 and Air‐Sea CO 2 Flux

   https://doi.org/10.1029/2019MS001888  

   Carroll, D. ; Menemenlis, D. ; Adkins, J. F. ; Bowman, K. W. ; Brix, H. ; Dutkiewicz, S. ; Fenty, I. ; Gierach, M. M. ; Hill, C. ; Jahn, O. ; et al ( October 2020 , Journal of Advances in Modeling Earth Systems)

   Quantifying variability in the ocean carbon sink remains problematic due to sparse observations and spatiotemporal variability in surface oceanpCO₂. To address this challenge, we have updated and improved ECCO‐Darwin, a global ocean biogeochemistry model that assimilates both physical and biogeochemical observations. The model consists of an adjoint‐based ocean circulation estimate from the Estimating the Circulation and Climate of the Ocean (ECCO) consortium and an ecosystem model developed by the Massachusetts Institute of Technology Darwin Project. In addition to the data‐constrained ECCO physics, a Green's function approach is used to optimize the biogeochemistry by adjusting initial conditions and six biogeochemical parameters. Over seasonal to multidecadal timescales (1995–2017), ECCO‐Darwin exhibits broad‐scale consistency with observed surface oceanpCO₂and air‐sea CO₂flux reconstructions in most biomes, particularly in the subtropical and equatorial regions. The largest differences between CO₂uptake occur in subpolar seasonally stratified biomes, where ECCO‐Darwin results in stronger winter uptake. Compared to the Global Carbon Project OBMs, ECCO‐Darwin has a time‐mean global ocean CO₂sink (2.47 ± 0.50 Pg C year⁻¹) and interannual variability that are more consistent with interpolation‐based products. Compared to interpolation‐based methods, ECCO‐Darwin is less sensitive to sparse and irregularly sampled observations. Thus, ECCO‐Darwin provides a basis for identifying and predicting the consequences of natural and anthropogenic perturbations to the ocean carbon cycle, as well as the climate‐related sensitivity of marine ecosystems. Our study further highlights the importance of physically consistent, property‐conserving reconstructions, as are provided by ECCO, for ocean biogeochemistry studies.

    

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3. Two decades of Pacific anthropogenic carbon storage and ocean acidification along Global Ocean Ship-based Hydrographic Investigations Program sections P16 and P02: Decadal Pacific C anth Changes by EMLR

   https://doi.org/10.1002/2016GB005485  

   Carter, B. R. ; Feely, R. A. ; Mecking, S. ; Cross, J. N. ; Macdonald, A. M. ; Siedlecki, S. A. ; Talley, L. D. ; Sabine, C. L. ; Millero, F. J. ; Swift, J. H. ; et al ( January 2017 , Global Biogeochemical Cycles)
4. Oxygen in the Southern Ocean From Argo Floats: Determination of Processes Driving Air-Sea Fluxes: SOUTHERN OCEAN ARGO O 2 AIR-SEA FLUXES

   https://doi.org/10.1002/2017JC012923  

   Bushinsky, Seth M. ; Gray, Alison R. ; Johnson, Kenneth S. ; Sarmiento, Jorge L. ( November 2017 , Journal of Geophysical Research: Oceans)
5. Anthropogenic CO 2 accumulation and uptake rates in the Pacific Ocean based on changes in the 13 C/ 12 C of dissolved inorganic carbon: Anthropgoenic 13 C Change Pacific Ocean

   https://doi.org/10.1002/2016GB005460  

   Quay, P. ; Sonnerup, R. ; Munro, D. ; Sweeney, C. ( January 2017 , Global Biogeochemical Cycles)