Atmospheric circulation models combine different modules for a good description of the atmospheric dynamics. One of these modules is the
representation of surface coverage, since the dynamics depends on the interaction between the atmosphere and the surface of the planet.
However, these modules depend on a number of parameters that need to be adjusted. The parameter adjustment process is called model
calibration. In this study, the IBIS (Integrated Biosphere Simulator) model is calibrated following a multi-objective strategy. The Pareto set,
which embraces the non-dominated solutions in the search space of objective functions, is determined by a version of multi-objective genetic
algorithm (NSGA-II). The model sensitivity to the parameters is evaluated by the Morris’ method. Synthetic data for calibration were
obtained from the Tapajós National Forest (FloNa Tapajós), located near to the 67 km from Santarém-Cuiabá highway (2,51S, 54,58W).
