Assessing predictability with a local ensemble Kalman filter

Journal of the Atmospheric Sciences

Volumn 64, Issue 4, 2007, Pages 1116-1140

  Kuhl, David ^a   Szunyogh, Istvan ^b   Kostelich, Eric J ^c   Gyarmati, Gyorgyi ^b   Patil, D J ^b   Oczkowski, Michael ^d   Hunt, Brian R ^b   Kalnay, Eugenia ^b   Ott, Edward ^e   Yorke, James A ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b Bldg 142   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d FRANCIS MARION UNIVERSITY   (United States)

^e The Institute for Research in Electronics and Applied Physics   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; DATA PROCESSING; ERROR STATISTICS; GEOGRAPHICAL REGIONS; KALMAN FILTERS; PRINCIPAL COMPONENT ANALYSIS;

ATMOSPHERIC PREDICTABILITY; FORECAST ERROR COVARIANCE MATRIX; LOCAL ENSEMBLE KALMAN FILTER (LEKF);

WEATHER FORECASTING;

COVARIANCE MATRIX; DATA PROCESSING; ERROR STATISTICS; GEOGRAPHICAL REGIONS; KALMAN FILTERS; PRINCIPAL COMPONENT ANALYSIS; WEATHER FORECASTING;

ERROR CORRECTION; EXTRATROPICAL ENVIRONMENT; GEOGRAPHICAL DISTRIBUTION; KALMAN FILTER; MODELING; PRINCIPAL COMPONENT ANALYSIS; WEATHER FORECASTING;

EID: 34247589234     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAS3885.1     Document Type: Article

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