Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment

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Dataset information

Country of origin
Updated
2023.04.26 00:00
Created
2023.05.07
Available languages
English
Keywords
ocean carbon cycle, ocean carbon sink, OSSE, Southern Ocean, observation system design
Quality scoring

Dataset 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).  
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2019
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