Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers

Water Resources Research

Volumn 47, Issue 7, 2011, Pages

  Jeremiah, Erwin ^a   Sisson, Scott ^a   Marshall, Lucy ^b   Mehrotra, Rajeshwar ^a   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b MONTANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CALIBRATION; BAYESIAN STATISTICAL INFERENCE; EASTERN AUSTRALIA; HYDROLOGIC MODELS; HYDROLOGICAL MODELS; MARKOV CHAIN MONTE CARLO; MCMC SAMPLING; MODEL CALIBRATION; MONTE CARLO ALGORITHMS; OPTIMAL SOLUTIONS; PARAMETER ESTIMATE; PARAMETER OPTIMIZATION; PARAMETER SPACES; PARAMETER UNCERTAINTY; PRIOR DISTRIBUTION; PROBABILISTIC FRAMEWORK; SAMPLING DISTRIBUTION; SAMPLING MECHANISMS; SEQUENTIAL MONTE CARLO; STOCHASTIC ALGORITHMS;

ALGORITHMS; CALIBRATION; CATCHMENTS; EFFICIENCY; INFERENCE ENGINES; MARKOV PROCESSES; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; RUNOFF; STOCHASTIC MODELS;

UNCERTAINTY ANALYSIS;

ALGORITHM; BAYESIAN ANALYSIS; CALIBRATION; CATCHMENT; COMPARATIVE STUDY; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS; PROBABILITY; SAMPLING; STOCHASTICITY; UNCERTAINTY ANALYSIS;

AUSTRALIA;

EID: 79961229131     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR010217     Document Type: Article

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