Bayesian calibration of a grassland model under water stress conditions

Bayesian calibration of model parameters holds potential to reduce and understand the uncertainty surrounding model outputs. With focus on a complex model of grassland systems (PaSim – Pasture Simulation model), and under conditions of altered climate (i.e. precipitation reduction), Ben Touhami and Bellocchi showed that Bayesian calibration can help in reducing uncertainties associated with model […]

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