Calibration

Bayesian Analysis for Evaluation of Uncertainty in Conceptual Rainfall-Runoff Models

This paper presents a Bayesian approach for the evaluation of uncertainty in rainfall-runoff modeling employing Markov Chain Monte Carlo (MCMC) methods. The Bayesian approach via MCMC provides the full posterior distribution of parameters and any …

Calibration of the SMAP rainfall-runoff model in a semi-arid gauging station in the northwest region of Brazil, using PSO, AG and Nealder & Mead algorithms and its effects on the definition of the monthly stream flow series.

This study evaluated the effects on estimating the monthly streamflow of a northeast gauging station by employing the PSO (Particle Swarm Optimization) and AG (Genetic Algorithm), associated with the local search method Nelder Mead (1965) for the …