A combined globally mapped estimate of air-sea carbon dioxide exchange from 1982 to 2017. The dataset was produced by the National Oceanic and Atmospheric Administration using a neural network technique on data from the Surface Ocean CO2 Atlas Database and SOCCOM biogeochemistry floats. It provides monthly pCO2 fields at 1°x1° resolution for most of the global ocean.
Use Cases
- Model global carbon budgets based on mapped CO2 flux estimates.
- Analyze temporal trends in oceanic pCO2 based on the 35-year time range.
- Validate ocean carbon cycle models based on the neural network-derived pCO2 fields.
- Study regional biogeochemical provinces based on the 16-province division method.
- Compute air-sea CO2 flux using the standard bulk formula described.
Strengths
- Data spans a 35-year period from 1982 to 2017.
- Combines two major data sources: SOCAT surface observations and SOCCOM float data.
- Provides global monthly fields at 1°x1° spatial resolution.
- Uses a sophisticated two-step neural network technique for reconstruction.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Excludes the Arctic Ocean and some marginal seas from its global coverage.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- National Oceanic and Atmospheric Administration, Department of Commerce
- Collection Method
- Created using a 2-step neural network technique on SOCAT pCO2 data and SOCCOM float-derived pCO2.
- Time Range
- 1982 to 2017
- Freshness
- Last updated 2026-03-05 23:47:31.755550; freshness should be verified.
- Geography
- Global ocean, excluding the Arctic Ocean and few marginal seas.