Quantifying the model structural error in carbon cycle data assimilation systems.

The article presents a study that determines the effect of the structural error of biosphere models when used in assimilating net ecosystem exchange (NEE) measurements to optimize uncertain model parameters within carbon cycle data assimilation 5 systems (CCDASs). It describes the method of the research that observes data from the model-minus-observation mismatch statistics. It notes the result of the study, which confirms the inferred characteristics of the model.