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Volumn 127, Issue 571, 2001, Pages 233-253

Dynamical evolution of the error statistics with the SEEK filter to assimilate altimetric data in eddy-resolving ocean models

Author keywords

Altimetry; Data assimilation; Kalman filter; Primitive equation models

Indexed keywords

ALGORITHM; ALTIMETRY; DATA ASSIMILATION; KALMAN FILTER;

EID: 0035067305     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/smsqj.57112     Document Type: Article
Times cited : (19)

References (27)
  • 3
    • 0005404359 scopus 로고    scopus 로고
    • The Kalman filter
    • Proceedings of seminar, European Centre for Medium-Range Weather Forecasts, Reading, UK
    • (1996) Predictability , vol.1 , pp. 221-245
    • Bouttier, F.1
  • 8
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics
    • (1994) J. Geophys. Res , vol.99 , pp. 10143-10162
    • Evensen, G.1
  • 26
    • 0025634945 scopus 로고
    • Altimeter data assimilation into an ocean circulation model: Sensitivity to orbital parameters
    • (1990) J. Geophys. Res , vol.95 , pp. 11443-11459
    • Verron, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.