Estimating the state of large spatio-temporally chaotic systems

Physics Letters, Section A: General, Atomic and Solid State Physics

Volumn 330, Issue 5, 2004, Pages 365-370

  Ott, E ^a   Hunt, B R ^a   Szunyogh, I ^a   Zimin, A V ^a   Kostelich, E J ^a,b   Corazza, M ^a   Kalnay, E ^a   Patil, D J ^a   Yorke, J A ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Chaos; Kalman filter; Spatio temporal chaos; Weather forecasting

Indexed keywords

CHAOS THEORY; CHAOTIC SYSTEMS; DEGREES OF FREEDOM (MECHANICS); WEATHER FORECASTING;

EFFECTIVE DEGREES OF FREEDOMS; ENSEMBLE KALMAN FILTER; ESTIMATION TECHNIQUES; FILTER APPROACH; NOISY OBSERVATIONS; SPATIOTEMPORAL CHAOS; SYSTEM MODELING; SYSTEM VARIABLES;

KALMAN FILTERS;

ARTICLE; CHAOTIC DYNAMICS; CORRELATION ANALYSIS; EVALUATION; EXPERIMENTAL MODEL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; STANDARDIZATION; TECHNIQUE; THEORETICAL MODEL;

EID: 4444326477     PISSN: 03759601     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physleta.2004.08.004     Document Type: Article

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