Towards a more representative parametrisation of hydrologic models via synthesizing the strengths of Particle Swarm Optimisation and Robust Parameter Estimation

Hydrology and Earth System Sciences

Volumn 16, Issue 2, 2012, Pages 603-629

  Krausse T ^a   Cullmann, J ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b FEDERAL INSTITUTE OF HYDROLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION DATA; CALIBRATION PROBLEMS; DATA DEPTH; FLOOD EVENT; FURTHER DEVELOPMENT; HIGH POTENTIAL; HIGHER EFFICIENCY; HYDROLOGIC MODELS; MODEL CALIBRATION; MODEL PARAMETER VECTOR; MODEL PERFORMANCE; MONTE CARLO APPROACH; MULTI-MODAL; OPTIMISATIONS; OVERFITTING; PARAMETER SPACES; PARAMETER VECTORS; PARAMETRISATION; PARTICLE SWARM OPTIMISATION; PROCESS DYNAMICS; PROCESS-ORIENTED; RAINFALL-RUNOFF MODELS; ROBUST PARAMETER ESTIMATION; ROBUST PARAMETERS; SMALL CATCHMENT; SOIL HYDRAULIC PARAMETERS; STOPPING CRITERIA; TIME STEP;

ALGORITHMS; BARIUM; CALIBRATION; ESTIMATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARTICLE SWARM OPTIMIZATION (PSO); RESEARCH; ROPE; UNCERTAINTY ANALYSIS; VECTORS;

PARAMETER ESTIMATION;

CALIBRATION; CONCEPTUAL FRAMEWORK; HYDROLOGICAL MODELING; MONTE CARLO ANALYSIS; OPTIMIZATION; PARAMETERIZATION; RAINFALL-RUNOFF MODELING; SAMPLING;

EID: 84857773134     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-603-2012     Document Type: Article

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