NASA TransCom Project: Atmospheric CO2 Flux Estimates from Model Intercomparison

The TransCom 3 project quantifies uncertainties in the global carbon budget by comparing atmospheric transport models. This dataset provides model outputs and estimated CO2 surface fluxes from annual mean (Level 1) and seasonal (Level 2) inversion experiments, using data from 1990-1996. The work involved 16 transport models for annual inversions and 12 models for seasonal inversions.

Use Cases

• Benchmarking atmospheric transport model performance based on the intercomparison of 16 models.
• Analyzing uncertainty in global and regional carbon flux estimates based on the inversion methodology.
• Studying the seasonal and annual variability of CO2 sources and sinks based on the 1992-1996 time period.
• Validating carbon budget inversion calculations against the prescribed experimental protocol.

Strengths

• Results are based on a controlled intercomparison of 16 atmospheric transport models, providing a multi-model perspective.
• Inversion experiments cover both annual mean and seasonal cycles, offering temporal analysis.
• Uses a common inversion setup and the GLOBALVIEW-CO2 2000 observational data for consistency.

Limitations

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

Provenance

Source

NASA via the AWS Open Data registry.

Collection Method

Output from the TransCom 3 model intercomparison project, using inverse methods with atmospheric CO2 concentration data.

Time Range

Primary analysis period is 1992-1996, using data from 1990-1996.

Freshness

null

Geography

Global