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Advances in Atmospheric Sciences
Volumn 26, Issue 3, 2009, Pages 373-380
Ensemble-based Kalman filters in strongly nonlinear dynamics
Author keywords

Data assimilation; Ensemble Kalman filter; Lorenz model; Nonlinear
Indexed keywords

EID: 70849099140     PISSN: 02561530     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00376-009-0373-9     Document Type: Article
Times cited : (23)
References (13)
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    • 10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2
    • C. H. Bishop B. J. Etherton S. J. Majumdar 2001 Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects Mon. Wea. Rev. 129 420 436 10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 420-436
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    • (1994) J. Geophys. Res. , vol.10 , pp. 143-162
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    • G. Evensen 2003 The ensemble Kalman filter: Theoretical formulation and practical implementation Ocean Dynamics 53 343 367 10.1007/s10236-003-0036-9
    • (2003) Ocean Dynamics , vol.53 , pp. 343-367
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  • 6
    • 84927058641 scopus 로고    scopus 로고
    • Predictability of Weather and Climate. T. Palmer and R. Hagedorn, Eds., Cambridge University Press
    • Hamill, T. M., 2006: Ensemble-based atmospheric data assimilation. Predictability of Weather and Climate. T. Palmer and R. Hagedorn, Eds., Cambridge University Press, 124-156.
    • (2006) Ensemble-based Atmospheric Data Assimilation , pp. 124-156
    • Hamill, T.M.1
  • 7
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    • P. L. Houtekamer H. L. Mitchell 1998 Data assimilation using an ensemble Kalman filter technique Mon. Wea. Rev. 127 1378 1379 10.1175/1520-0493(1999) 127<1378:R>2.0.CO;2
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  • 8
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    • E. N. Lorenz 1963 Deterministic nonperiodic flow J. Atmos. Sci. 20 130 141 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2
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    • Lorenz, E.N.1
  • 9
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    • 10.1175/1520-0469(1994)051<1037:ADAISN>2.0.CO;2
    • R. N. Miller M. Ghil F. Gauthiez 1994 Advanced data assimilation in strongly nonlinear dynamical systems J. Atmos. Sci. 51 1037 1056 10.1175/1520-0469(1994)051<1037:ADAISN>2.0.CO;2
    • (1994) J. Atmos. Sci. , vol.51 , pp. 1037-1056
    • Miller, R.N.1    Ghil, M.2    Gauthiez, F.3
  • 11
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    • Nonlinearity in data assimilation applications: A practical methods for analysis
    • 10.1175/1520-0493(2001)129<1578:NIDAAA>2.0.CO;2
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  • 12
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    • Which is better, an ensemble of positive-negative pairs or a centered spherical simplex ensemble?
    • DOI 10.1175/1520-0493(2004)132<1590:WIBAEO>2.0.CO;2
    • X. Wang C. H. Bishop S. J. Julier 2004 Which is better, an ensemble of positive-negative pairs or centered spherical simplex ensemble? Mon. Wea. Rev. 132 1590 1605 10.1175/1520-0493(2004)132<1590:WIBAEO>2.0.CO;2 (Pubitemid 39052086)
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  • 13
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    • Ensemble data assimilation without perturbed observation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.