Regionalisation of hydrological model parameters under parameter uncertainty: A case study involving TOPMODEL and basins across the globe

Journal of Hydrology

Volumn 357, Issue 3-4, 2008, Pages 188-206

  Bastola, Satish ^a   Ishidaira, Hiroshi ^a   Takeuchi, Kuniyoshi ^b  

^a UNIVERSITY OF YAMANASHI   (Japan)

^b Public Works Research Institute   (Japan)

Author keywords

Conceptual rainfall runoff models; Model parameters; Multi objective calibration; Parameter uncertainty; Regionalisation

Indexed keywords

CALIBRATION; CATCHMENTS; COVARIANCE MATRIX; CURVE FITTING; FOOD PROCESSING; FORECASTING; FORESTRY; HYDRAULIC MODELS; IMAGE SEGMENTATION; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; OPTICAL VARIABLES MEASUREMENT; PARAMETER ESTIMATION; PHOTOACOUSTIC EFFECT; PROBABILITY; RANDOM PROCESSES; RUNOFF; SOLUTE TRANSPORT; UNCERTAINTY ANALYSIS; VECTORS;

(0 , 1) VECTORS; ARTIFICIAL NEURAL NETWORK (ANNS); CALIBRATED MODELS; CALIBRATION METHODS; CASE STUDIES; CLIMATIC REGIONS; CONCEPTUAL MODELLING; DIRECT CALIBRATION; DIRECT CALIBRATION METHOD; ELSEVIER (CO); FUNCTIONAL RELATIONSHIPS; HYDROLOGICAL MODELLING; IDENTIFIABILITY; IN ORDER; MODEL CALIBRATION; MODEL PARAMETERS; MODEL PREDICTIONS; MODELING UNCERTAINTIES; MULTI-OBJECTIVE PROBLEMS; MULTIPLE OBJECTIVES; MULTIPLE REGRESSIONS; PARAMETER UNCERTAINTIES; PARETO-OPTIMAL; PARTIAL LEAST SQUARE REGRESSION (PLSR); POSTERIOR PROBABILITIES; PREDICTIVE MODELING; PREDICTIVE PERFORMANCE; TOPMODEL; UNGAUGED BASINS; UNGAUGED SITE;

PROBABILITY DISTRIBUTIONS;

CALIBRATION; CONCEPTUAL FRAMEWORK; HYDROLOGICAL MODELING; PARSIMONY ANALYSIS; PROBABILITY; RAINFALL-RUNOFF MODELING; REGIONALIZATION; UNCERTAINTY ANALYSIS;

BASINS; CALIBRATION; FORESTRY; NEURAL NETWORKS; PARAMETERS; PROBABILITY; RAIN; RANDOM PROCESSES; RUNOFF;

EID: 47049086970     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2008.05.007     Document Type: Article

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