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Volumn 171, Issue , 2007, Pages 243-253

A probabilistic perspective on nonlinear model inversion and data assimilation

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EID: 85040228324     PISSN: 00658448     EISSN: 23288779     Source Type: Book Series    
DOI: 10.1029/171GM17     Document Type: Chapter
Times cited : (1)

References (19)
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    • Arulampalam, M.S.1
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    • (1993) Tellus , vol.45 A , pp. 343-357
    • Courtier, P.1    Derber, J.2    Errico, R.M.3    Louis, J.-F.4    Vukićević, T.5
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    • Daley, R.1
  • 8
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    • The Ensemble Kalman Filter: Theoretical formula- tion and practical implementation
    • Evensen, G., The Ensemble Kalman Filter: theoretical formula- tion and practical implementation, Ocean Dynamics, 53(4), 343-367, 2003.
    • (2003) Ocean Dynamics , vol.53 , Issue.4 , pp. 343-367
    • Evensen, G.1
  • 9
    • 10844229034 scopus 로고    scopus 로고
    • Sampling strategies and square root analysis schemes for the ensemble Kalman filter
    • Evensen, G., Sampling strategies and square root analysis schemes for the ensemble Kalman filter, Ocean Dynamics, 54(6), 539-560, 2004.
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    • Data assimilation into nonlinear stochastic models
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    • (1999) Tellus , vol.51 A , pp. 167-194
    • Miller, R.N.1    Carter, E.F.2    Blue, S.T.3
  • 18
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    • Assessing the per- formance of the ensemble Kalman filter for land surface data assimilation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.