An iterative ensemble square root filter and tests with simulated radar data for storm-scale data assimilation

Quarterly Journal of the Royal Meteorological Society

Volumn 139, Issue 676, 2013, Pages 1888-1903

  Wang, Shizhang ^a,b   Xue, Ming ^b   Schenkman, Alexander D ^b   Min, Jinzhong ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Ensemble Kalman filter; Iterative procedure; Radar data assimilation

Indexed keywords

BACKGROUND-ERROR COVARIANCES; BETTER PERFORMANCE; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; ENSEMBLE SQUARE ROOT FILTER; RADAR DATA ASSIMILATION; SQUARE-ROOT FILTERS; STORM ENVIRONMENTS;

ALGORITHMS; DATA PROCESSING; KALMAN FILTERS; STATE ESTIMATION; STORMS;

ITERATIVE METHODS;

COVARIANCE ANALYSIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; KALMAN FILTER; NUMERICAL MODEL; RADAR; TESTING METHOD; TRANSFORM; WEATHER FORECASTING;

EID: 84886287432     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.2077     Document Type: Article

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