ABSTRACT
Sensitivity analysis is an important procedure to understand how model parameter values, input or forcing data, and sometimes model structure, influence behaviors of the modeled system. However, sensitivity analysis is rarely conducted for complex land carbon models due to high computational cost. The matrix approach makes it computationally feasible to conduct sensitivity analyses of land carbon models.
