ABSTRACT
The goal of this chapter is to explore the potential for data to support diagnostics and forecasting of the terrestrial carbon cycle via model-data fusion. This understanding will be built by explaining and exploring an existing framework, CARDAMOM, which is linked to an intermediate complexity model, DALEC. The key learnings will include the concept of ecological and dynamical constraints, the potential to generate emergent maps of key parameters, the role of observational error, and the key avenues for future research using earth observations.
