The core of the G3W is model ingestion of observational data to estimate and reduce the uncertainty in the GHG fluxes. This analysis depends critically on the quality of ancillary data, prior flux information, and estimates of their uncertainty. 

The global modelling/ production centres that will participate in G3W should as much as possible follow independent methods from each other to generate and use the prior information for their data assimilation systems to ensure independence of the products. 


magnifying glass tilted left Section 5: At a Glance



Action P1: Identify data-stream needs on prior emission and absorption of CO2. 

The measures of success include a list of requirements that is made available by / to the operational centers and a comprehensive documentation of variables.

Action P2: identify data-stream needs on prior emission and absorption of CH4. 

The measures of success include a list of requirements that is made available by / to the operational centers and a comprehensive documentation of variables.  

Action P3: Identify data-stream needs on prior emission and absorption of N2O. 

The measures of success include a list of requirements that is made available by / to the operational centers and a comprehensive documentation of variables.  

Action P4: Characterize the various fluxes hosted by the repository across time scales. 

Measures of success is a synthesis of what is known about the error variances and what is unknown that is made publicly available. 


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