Toward improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble-based genetic programming framework

Water Resources Research

Volumn 44, Issue 12, 2008, Pages

  Parasuraman, Kamban ^a   Elshorbagy, Amin ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC HUMIDITY; COMPUTER PROGRAMMING; EVAPOTRANSPIRATION; FEATURE EXTRACTION; FUNCTIONS; GENETIC PROGRAMMING; HYDRAULIC MODELS; MATHEMATICAL OPERATORS; PROGRAMMING THEORY; WATER SUPPLY;

ACTUAL EVAPOTRANSPIRATIONS; AIR TEMPERATURES; CONVENTIONAL TREATMENTS; DATA SETS; DETERMINISTIC MODELS; GROUND TEMPERATURES; HYDROLOGIC MODELING; HYDROLOGIC PREDICTIONS; HYDROLOGICAL MODELING; HYDROLOGICAL PROCESS; INTEGRAL PARTS; MCMURRAY; MODEL COMPLEXITY; MODEL PARAMETERS; MODELING FRAMEWORKS; MULTIPLICATIVE OPERATORS; NET RADIATIONS; NON-PARAMETRIC BOOTSTRAP METHODS; OPTIMAL MODELS; PREDICTION ACCURACIES; PREDICTIVE UNCERTAINTIES; PROGRAMMING FRAMEWORKS; RELATIVE CONTRIBUTIONS; RELATIVE HUMIDITIES; SELF-ORGANIZING ALGORITHMS; STORAGE FACILITIES; WIND SPEED;

UNCERTAINTY ANALYSIS;

BOOTSTRAPPING; ENSEMBLE FORECASTING; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; PREDICTION; QUANTITATIVE ANALYSIS; RELIABILITY ANALYSIS; UNCERTAINTY ANALYSIS;

ALBERTA; CANADA; FORT MCMURRAY; NORTH AMERICA;

EID: 59649086425     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007WR006451     Document Type: Article

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