Formulation of the Evolutionary-Based Data Assimilation, and its Implementation in Hydrological Forecasting

Water Resources Management

Volumn 26, Issue 13, 2012, Pages 3853-3870

  Dumedah, Gift ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Model data integration; Multi objective evolutionary algorithms; Pareto optimality

Indexed keywords

ADAPTIVE CAPABILITIES; BIOLOGICAL EVOLUTION; DATA ASSIMILATION; ENSEMBLE MEMBERS; ENSEMBLE SIMULATION; HYDROLOGICAL FORECASTING; LEAST SQUARES ESTIMATE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NATURAL SELECTION; NONLINEAR PROBLEMS; PARETO DOMINANCE; PARETO-OPTIMAL SETS; PARETO-OPTIMALITY; PRACTICAL IMPLEMENTATION; RANDOM VARIATION; SEARCH TOOLS; TIME STEP;

BIOLOGY; PARAMETER ESTIMATION; PARETO PRINCIPLE; SOIL MOISTURE;

EVOLUTIONARY ALGORITHMS;

ALGORITHM; DATA ASSIMILATION; ENSEMBLE FORECASTING; ESTIMATION METHOD; FORECASTING METHOD; HYDROLOGICAL MODELING; LEAST SQUARES METHOD; STOCHASTICITY; STREAMFLOW;

EID: 84866096926     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0107-0     Document Type: Article

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