1: C flux calculations and their uncertainty
2: Reducing C flux uncertainty through data assimilation
3: The role of EO in reducing C flux uncertainties
4: Characterising and reducing the uncertainties in soil C stocks and fluxes, and assessing the effects on C flux models
5: Experimental approaches to improved process understanding

and is supported by a central approach to database and software management through the centre data manager.

The main components of the programme and how they fit together are illustrated in the figure below. Modelling is a core activity that integrates process understanding with data. Ground-based measurements and databases are used to test processes, calibrate models, validate quantities recovered from EO data and motivate the development of new EO techniques. Satellites provide measurements that can constrain or be assimilated into the carbon models, while airborne systems give insight into what is possible from satellites and provide measurements that are valuable in their own right. Questions of uncertainty permeate the whole diagram, culminating in the credibility we can place on the carbon budget calculated by the models.

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