ABSTRACT
Land carbon models are useful tools to predict the impacts of global change on terrestrial ecosystems. However, uncertainties in the model predictions are large, and need to be reduced to increase our confidence in model predictions. Both carbon pools and carbon fluxes are usually measured in land carbon studies. This practice helps you understand the value of pool and flux measurements to constrain a land carbon model through data assimilation. To this end, four exercises are designed, which are model run without data assimilation and model runs with assimilation of carbon pool and/or carbon flux measurements. Through these exercises, you will learn how to select appropriate measurements to constrain model predictions of land carbon dynamics.
