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...

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Bibliographic Details
Main Authors: Judith Hauck, Cara Nissen, Peter Landschützer, Christian Rödenbeck, Seth Bushinsky, Are Olsen
Format: Dataset
Language:English
Published: 2023
Subjects:
ocean carbon cycle
ocean carbon sink
Southern Ocean
observation system design
OSSE
Online Access:https://zenodo.org/record/7784745
https://doi.org/10.5281/zenodo.7784745
Description
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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