Evaluating methods to account for system errors in ensemble data assimilation

Monthly Weather Review

Volumn 140, Issue 9, 2012, Pages 3078-3089

  Whitaker, Jeffrey S ^a   Hamill, Thomas M ^a  

^a EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

Bayesian methods; Data assimilation, Model errors; Ensembles; Kalman filters; Numerical weather prediction forecasting

Indexed keywords

BACKGROUND ERRORS; BAYESIAN METHODS; ENSEMBLE DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; ENSEMBLE PERTURBATION; ENSEMBLES; ERROR SOURCES; EVALUATING METHOD; MODEL ERRORS; MULTIPLICATIVE INFLATIONS; NUMERICAL WEATHER PREDICTION; PRIMITIVE EQUATIONS; SAMPLING ERRORS; STOCHASTIC KINETICS; STOCHASTIC TREATMENT; SYSTEM ERRORS;

ALGORITHMS; BAYESIAN NETWORKS; ERROR ANALYSIS; KALMAN FILTERS; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

ALGORITHM; BACKSCATTER; BAYESIAN ANALYSIS; COVARIANCE ANALYSIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; INFLATION; KALMAN FILTER; KINETIC ENERGY; NUMERICAL MODEL; PERTURBATION; STOCHASTICITY; WEATHER FORECASTING;

EID: 84867956219     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00276.1     Document Type: Article

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