Monte Carlo assessment of parameter uncertainty in conceptual catchment models: The Metropolis algorithm

Journal of Hydrology

Volumn 211, Issue 1-4, 1998, Pages 69-85

  Kuczera, George ^a   Parent, Eric ^b  

^a UNIVERSITY OF NEWCASTLE   (Australia)

^b AGROPARISTECH   (France)

Author keywords

Bayesian inference; Conceptual catchment models; Importance sampling; Markov Chain Monte Carlo sampling; Parameter uncertainty; Rainfall runoff models

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CALIBRATION; HYDROLOGY; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; RAIN; RUNOFF;

BAYESIAN INFERENCE; CONCEPTUAL CATCHMENT MODELS; IMPORTANCE SAMPLING; PARAMETER UNCERTAINTY;

MONTE CARLO METHODS;

ALGORITHM; CATCHMENT; HYDROLOGY; MODELING; MONTE CARLO ANALYSIS; SAMPLING;

EID: 0032214428     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-1694(98)00198-X     Document Type: Article

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