A coupled ensemble filtering and probabilistic collocation approach for uncertainty quantification of hydrological models

Journal of Hydrology

Volumn 530, Issue , 2015, Pages 255-272

  Fan, Y R ^a   Huang, W W ^b   Li, Y P ^c   Huang, G H ^a,c   Huang, K ^a  

^a UNIVERSITY OF REGINA   (Canada)

^b MCMASTER UNIVERSITY   (Canada)

^c NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Ensemble Kalman filter; Gaussian anamorphosis; Hydrologic model; Monte Carlo; Probabilistic collocation method; Uncertainty

Indexed keywords

HYDROLOGY; KALMAN FILTERS; MONTE CARLO METHODS; PROBABILITY; RESERVOIRS (WATER);

ENSEMBLE KALMAN FILTER; GAUSSIAN ANAMORPHOSIS; HYDROLOGIC MODELING; PROBABILISTIC COLLOCATION METHOD; UNCERTAINTY;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; ENSEMBLE FORECASTING; FORECASTING METHOD; GAUSSIAN METHOD; HYDROLOGICAL MODELING; KALMAN FILTER; MONTE CARLO ANALYSIS; PROBABILITY; QUANTITATIVE ANALYSIS; UNCERTAINTY ANALYSIS;

CHINA; HUBEI; THREE GORGES RESERVOIR; XIANGXI RIVER;

EID: 84943756631     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.09.035     Document Type: Article

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