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Published May 7, 2023 | Version v1
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Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment

  • 1. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung
  • 2. Flanders Marine Institute (VLIZ)
  • 3. Max Planck Institute for Biogeochemistry
  • 4. University of Hawaiʻi at Mānoa
  • 5. Geophysical Institute, University of Bergen

Description

Dataset underlying the analysis in Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO2 sink - an ocean model subsampling experiment, Philosophical Transactions A

Surface ocean partial pressure of CO2 (pCO2) and air-sea CO2 flux reconstructions, using two mapping methods (MPI-SOM-FFN, CarboScope) three different sampling masks: SOCAT, SOCAT+SOCCOM, IDEAL (based on bgcArgo, Roemmich et al., 2019).

Also, all FESOM-REcoM output fields that were used in the reconstructions are provided.

We further provide the three masks that were used for subsampling: SOCAT, SOCAT+SOCCOM, IDEAL (bgcArgo).

 

Files

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Additional details

Related works

Is supplement to
Journal article: 10.1098/rsta.2022.0063 (DOI)

Funding

COMFORT – Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points 820989
European Commission
OceanICU – Ocean-ICU Improving Carbon Understanding 101083922
European Commission

References

  • Hauck et al., 2023: Sparse observations induce large biases in estimates of the global ocean CO2 sink - an ocean model subsampling experiment, Phil. Trans. R. Soc. A 381: 20220063. https://doi.org/10.1098/rsta.2022.0063