Estimating observation impact without adjoint model in an ensemble Kalman filter

Quarterly Journal of the Royal Meteorological Society

Volumn 134, Issue 634 A, 2008, Pages 1327-1335

  Liu, Junjie ^a   Kalnay, Eugenia ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Adjoint model; Ensemble sensitivity; Monitoring observation quality; Observation impact

Indexed keywords

CONTROL THEORY; ESTIMATION; FORECASTING; KALMAN FILTERS; MATHEMATICAL MODELS; SOIL MECHANICS; SOIL STRUCTURE INTERACTIONS; WAVE FILTERS; WEATHER FORECASTING; WEATHER INFORMATION SERVICES;

ADJOINT MODEL; ENSEMBLE SENSITIVITY; MONITORING OBSERVATION QUALITY; OBSERVATION IMPACT; SENSITIVITY METHODS; ADJOINT METHODS; ADJOINT MODELS; ENSEMBLE KALMAN FILTERS; NUMERICAL WEATHER PREDICTIONS; POWERFUL TOOLS; QUANTITATIVE ESTIMATIONS; VARIABLE MODELS;

SENSITIVITY ANALYSIS; RANDOM ERRORS;

ENSEMBLE FORECASTING; ESTIMATION METHOD; KALMAN FILTER; NUMERICAL MODEL; SENSITIVITY ANALYSIS; WEATHER FORECASTING; COMPUTER SIMULATION; ERROR ANALYSIS; OBSERVATIONAL METHOD; PREDICTION;

EID: 50949109536     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1002/qj.280     Document Type: Article

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