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Volumn 60, Issue 2, 2010, Pages 395-401

Validation and application of an ensemble Kalman filter in the Selat Pauh of Singapore

Author keywords

Data assimilation; Ensemble Kalman filter; Ocean modeling

Indexed keywords

CURRENT VELOCITY; DATA ASSIMILATION; DATA ASSIMILATION METHODS; ENSEMBLE KALMAN FILTER; ENSEMBLE MEMBERS; INITIAL CONDITIONS; INITIAL PERTURBATION; INITIAL VELOCITIES; OBSERVING SYSTEM SIMULATION EXPERIMENTS; OCEAN MODELING; PERFECT MODEL; RANDOM PERTURBATIONS; RAPID CONVERGENCE; SINGAPORE; SURFACE WINDS; TIDAL CYCLE;

EID: 77954762281     PISSN: 16167341     EISSN: 16167228     Source Type: Journal    
DOI: 10.1007/s10236-009-0253-y     Document Type: Conference Paper
Times cited : (8)

References (16)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment filter for data assimilation
    • Anderson JL (2001) An ensemble adjustment filter for data assimilation. Mon Weather Rev 129:2884-2903
    • (2001) Mon Weather Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 3
    • 0042654349 scopus 로고    scopus 로고
    • An unstructured, finite-volume, three-dimensional, primitive equation ocean model: Application to coastal ocean and estuaries
    • Chen C, Liu H, Beardsley RC (2003) An unstructured, finite-volume, three-dimensional, primitive equation ocean model: application to coastal ocean and estuaries. J Atmos Ocean Technol 20:159-186
    • (2003) J. Atmos Ocean Technol. , vol.20 , pp. 159-186
    • Chen, C.1    Liu, H.2    Beardsley, R.C.3
  • 4
    • 33845602934 scopus 로고    scopus 로고
    • An unstructured grid, finite-volume coastal ocean model-FVCOM user manual
    • School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, Second Edition
    • Chen C, Beardsley RC, Cowles G (2006a) An unstructured grid, finite-volume coastal ocean model-FVCOM user manual, School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, Second Edition. Technical Report SMAST/UMASSD-06-0602, p 318
    • (2006) Technical Report SMAST/UMASSD-06-0602 , pp. 318
    • Chen, C.1    Beardsley, R.C.2    Cowles, G.3
  • 5
    • 84859134958 scopus 로고    scopus 로고
    • An unstructured grid, finite-volume coastal ocean model (FVCOM) system. Special issue entitled Advance in Computational Oceanography
    • Chen C, Beardsley RC, Cowles G (2006b) An unstructured grid, finite-volume coastal ocean model (FVCOM) system. Special issue entitled Advance in Computational Oceanography. Oceanography 19(1):78-89
    • (2006) Oceanography , vol.19 , Issue.1 , pp. 78-89
    • Chen, C.1    Beardsley, R.C.2    Cowles, G.3
  • 7
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G (1994) Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99(10):143-10162
    • (1994) J. Geophys Res. , vol.99 , Issue.10 , pp. 143-10162
    • Evensen, G.1
  • 8
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
    • Hamill TM, Whitaker JS, Snyder C (2001) Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon Weather Rev 129:2776-2790
    • (2001) Mon Weather Rev. , vol.129 , pp. 2776-2790
    • Hamill, T.M.1    Whitaker, J.S.2    Snyder, C.3
  • 9
    • 0033023511 scopus 로고    scopus 로고
    • Construction of correlation functions in two and three dimensions
    • Gaspari G, Cohn SE (1999) Construction of correlation functions in two and three dimensions. Quart J Roy Meteor Soc 125:723-757
    • (1999) Quart J. Roy Meteor Soc. , vol.125 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 10
    • 65549093310 scopus 로고    scopus 로고
    • A simulation study using a local ensemble transform Kalman filter for data assimilation in New York Harbor
    • Hoffman RN, Ponte RM, Kostelich EJ, Blumberg A, Szunyogh I (2008) A simulation study using a local ensemble transform Kalman filter for data assimilation in New York Harbor. J Atmos Ocean Technol 25:1638-1656
    • (2008) J. Atmos Ocean Technol. , vol.25 , pp. 1638-1656
    • Hoffman, R.N.1    Ponte, R.M.2    Kostelich, E.J.3    Blumberg, A.4    Szunyogh, I.5
  • 11
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman filter technique
    • Houtekamer P, Mitchell HL (1998) Data assimilation using an ensemble Kalman filter technique. Mon Weather Rev 126:796-811
    • (1998) Mon Weather Rev. , vol.126 , pp. 796-811
    • Houtekamer, P.1    Mitchell, H.L.2
  • 15
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation withou perturbed observations
    • Whitaker JS, Hamill TM (2002) Ensemble data assimilation withou perturbed observations. Mon Weather Rev 130:1913-1924
    • (2002) Mon Weather Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 16
    • 0347542538 scopus 로고    scopus 로고
    • A comparison of assimilation results from the ensemble Kalman filter and the reduced-rank extended Kalman filter
    • Zang X, Malanotte-Rizzoli P (2003) A comparison of assimilation results from the ensemble Kalman filter and the reduced-rank extended Kalman filter. Nonlinear Process Geophys 10:6, 477-6, 491
    • (2003) Nonlinear Process Geophys , vol.10 , pp. 6477-6491
    • Zang, X.1    Malanotte-Rizzoli, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.