Sparse observations induce large biases in estimates of the global ocean CO2 sink: an ocean model subsampling experiment
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...
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://zenodo.org/record/7784745 https://doi.org/10.5281/zenodo.7784745 |
Summary: | 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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