Interactive comment on “Modeling Land Use and Land Cover Change: Using a Hindcast to Estimate Economic Parameters in gcamland v2.0” by

In this manuscript, Calvin et al. conduct a large ensemble of simulations for the United States with the gcamland land use model to optimize model structure and parameters related to landowner decisionmaking. They find that an adaptive expectation structure performs best, in contrast to the linear structure previously used in GCAM. The authors also test the sensitivity of the optimization to various setup choices—including objective function, timestep, and calibration year—finding that, where the results are not robust across setups, they differ in mostly predictable and understandable ways.