Ocean CO2 Sink Reconstructions from Model Subsampling with Three Sampling Masks

Surface ocean partial pressure of CO2 and air-sea CO2 flux reconstructions from Hauck et al., 2023. The dataset uses two mapping methods and three different sampling masks based on SOCAT, SOCAT+SOCCOM, and an IDEAL mask from bgcArgo. It also includes the underlying FESOM-REcoM model output fields used in the reconstructions.

Use Cases

• Assessing biases in global ocean CO2 sink estimates based on sparse observational sampling.
• Comparing surface ocean pCO2 reconstructions based on different mapping methods (MPI-SOM-FFN, CarboScope).
• Evaluating the impact of different observational networks (SOCAT, SOCCOM, bgcArgo) on flux calculations.
• Analyzing the underlying model output fields (FESOM-REcoM) used for the reconstructions.

Strengths

• Includes reconstructions from two established mapping methods (MPI-SOM-FFN, CarboScope).
• Provides three distinct sampling masks (SOCAT, SOCAT+SOCCOM, IDEAL) for subsampling experiments.
• Contains the full FESOM-REcoM model output fields used to generate the reconstructions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung

Collection Method

Ocean model subsampling experiment using FESOM-REcoM output and observational masks.

Geography

Global ocean