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Volumn 15, Issue 1, 2008, Pages 101-110

A two-stage ensemble Kalman filter for smooth data assimilation

Author keywords

Bayesian; Convection reaction diffusion; Data assimilation; Ensemble Kalman filter; Penalty; Shrinkage; State space model; Tikhonov regularization; Wildfire

Indexed keywords

DATA ASSIMILATION; ENSEMBLE FORECASTING; FOREST MANAGEMENT; KALMAN FILTER; MODELING; SMOOTHING; WILDFIRE;

EID: 39049134237     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10651-007-0033-0     Document Type: Conference Paper
Times cited : (44)

References (31)
  • 1
    • 0033500692 scopus 로고    scopus 로고
    • A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
    • Anderson JL and Anderson SL (1999). A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon Weather Rev 127: 2741-2758
    • (1999) Mon Weather Rev , vol.127 , pp. 2741-2758
    • Anderson, J.L.1    Anderson, S.L.2
  • 4
    • 1642360010 scopus 로고    scopus 로고
    • Toward a nonlinear ensemble filter for high dimensional systems
    • Bengtsson T, Snyder C, Nychka D (2003) Toward a nonlinear ensemble filter for high dimensional systems. J Geophys Res-Atmos 108(D24):STS 2-1-10
    • (2003) J Geophys Res-Atmos , vol.108 , Issue.D24
    • Bengtsson, T.1    Snyder, C.2    Nychka, D.3
  • 6
    • 0032439201 scopus 로고    scopus 로고
    • Analysis scheme in the ensemble Kalman filter
    • Burgers G, Evensen G and Leeuwen PJ (1998). Analysis scheme in the ensemble Kalman filter. Mon Weather Rev 126: 1719-1724
    • (1998) Mon Weather Rev , vol.126 , pp. 1719-1724
    • Burgers, G.1    Evensen, G.2    Leeuwen, P.J.3
  • 7
    • 84950445183 scopus 로고
    • A Monte Carlo approach to nonnormal and nonlinear state-space modeling
    • Carlin JB, Polson N and Stoffer DS (1992). A Monte Carlo approach to nonnormal and nonlinear state-space modeling. J Am Stat Assoc 418: 494-500
    • (1992) J Am Stat Assoc , vol.418 , pp. 494-500
    • Carlin, J.B.1    Polson, N.2    Stoffer, D.S.3
  • 9
    • 39049156606 scopus 로고    scopus 로고
    • (eds), Sequential Monte Carlo in practice. Springer
    • Doucet A, de Freitas N, Gordon N (2001) (eds), Sequential Monte Carlo in practice. Springer
    • (2001)
    • Doucet, A.1    de Freitas, N.2    Gordon, N.3
  • 10
    • 10844229034 scopus 로고    scopus 로고
    • Sampling strategies and square root analysis schemes for the EnKF
    • Evensen G (2004). Sampling strategies and square root analysis schemes for the EnKF. Ocean Dyn 54: 539-560
    • (2004) Ocean Dyn , vol.54 , pp. 539-560
    • Evensen, G.1
  • 11
    • 0028193070 scopus 로고    scopus 로고
    • 1994 Sequential data assimilation with nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G (1994). Sequential data assimilation with nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J Geophys Res 99(C5)(10): 143-162
    • J Geophys Res , vol.99 , Issue.10 C5 , pp. 143-162
    • Evensen, G.1
  • 12
    • 84884550570 scopus 로고    scopus 로고
    • The ensemble Kalman filter: Theoretical formulation and practical implementation
    • Evensen G (2003). The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn 53: 343-367
    • (2003) Ocean Dyn , vol.53 , pp. 343-367
    • Evensen, G.1
  • 13
    • 0010968774 scopus 로고    scopus 로고
    • Rank-deficient and discrete ill-posed problems
    • Society for Industrial and Applied Mathematics (SIAM), Philadelphia PA
    • Hansen PC (1998). Rank-deficient and discrete ill-posed problems. SIAM Monographs on Mathematical Modeling and Computation. Society for Industrial and Applied Mathematics (SIAM), Philadelphia PA
    • (1998) SIAM Monographs on Mathematical Modeling and Computation
    • Hansen, P.C.1
  • 15
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman filter technique
    • Houtekamer P and Mitchell HL (1998). Data assimilation using an ensemble Kalman filter technique. Monthly Weather Review 126(3): 796-811
    • (1998) Monthly Weather Review , vol.126 , Issue.3 , pp. 796-811
    • Houtekamer, P.1    Mitchell, H.L.2
  • 17
    • 0031084233 scopus 로고    scopus 로고
    • On Tikhonov regularization, bias and variance in nonlinear system identification
    • Johansen TA (1997). On Tikhonov regularization, bias and variance in nonlinear system identification. Automatica 33(3): 441-446
    • (1997) Automatica , vol.33 , Issue.3 , pp. 441-446
    • Johansen, T.A.1
  • 18
    • 14944341760 scopus 로고    scopus 로고
    • A state-space model for censored data
    • Johns CJ and Shumway RH (2005). A state-space model for censored data. Environmetrics 16: 167-180
    • (2005) Environmetrics , vol.16 , pp. 167-180
    • Johns, C.J.1    Shumway, R.H.2
  • 20
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman RE (1960). A new approach to linear filtering and prediction problems. Trans ASME - J Basic Eng Ser D 82: 35-45
    • (1960) Trans ASME - J Basic Eng Ser D , vol.82 , pp. 35-45
    • Kalman, R.E.1
  • 21
    • 85024423711 scopus 로고
    • New results in filtering and prediction theory
    • Kalman RE and Bucy RS (1961). New results in filtering and prediction theory. Trans ASME - J Basic Eng 83: 95-108
    • (1961) Trans ASME - J Basic Eng , vol.83 , pp. 95-108
    • Kalman, R.E.1    Bucy, R.S.2
  • 22
    • 0036493404 scopus 로고    scopus 로고
    • Dynamic image reconstruction in electrical impedance tomography with known internal structures
    • Kim KY, Kang SI, Kim MC, Kim S, Lee YJ and Vauhkonen M (2002). Dynamic image reconstruction in electrical impedance tomography with known internal structures. IEEE Trans Magn 38: 1301-1304
    • (2002) IEEE Trans Magn , vol.38 , pp. 1301-1304
    • Kim, K.Y.1    Kang, S.I.2    Kim, M.C.3    Kim, S.4    Lee, Y.J.5    Vauhkonen, M.6
  • 23
    • 84950459387 scopus 로고
    • Non-Gaussian state-space modeling of nonstationary time series, (with discussion)
    • Kitagawa G (1987). Non-Gaussian state-space modeling of nonstationary time series, (with discussion). J Am Stat Assoc 400: 1032-1044
    • (1987) J Am Stat Assoc , vol.400 , pp. 1032-1044
    • Kitagawa, G.1
  • 27
    • 0001388257 scopus 로고
    • Robustification of Kalman filter models
    • Meinhold R and Singpurwalla N (1989). Robustification of Kalman filter models. J Am Stat Soc 84: 479-486
    • (1989) J Am Stat Soc , vol.84 , pp. 479-486
    • Meinhold, R.1    Singpurwalla, N.2
  • 28
    • 0017483257 scopus 로고
    • Least squares estimation of discrete linear dynamic systems using orthogonal transformations
    • Paige CC and Saunders MA (1977). Least squares estimation of discrete linear dynamic systems using orthogonal transformations. SIAM J Numer Anal 14(2): 180-193
    • (1977) SIAM J Numer Anal , vol.14 , Issue.2 , pp. 180-193
    • Paige, C.C.1    Saunders, M.A.2
  • 29
    • 84986753417 scopus 로고
    • An approach to time series smoothing and forecasting using the EM algorithm
    • Shumway RH and Stoffer DS (1982). An approach to time series smoothing and forecasting using the EM algorithm. J Time Ser Anal 3: 253-264
    • (1982) J Time Ser Anal , vol.3 , pp. 253-264
    • Shumway, R.H.1    Stoffer, D.S.2
  • 31
    • 0142010030 scopus 로고    scopus 로고
    • A variance-minimizing filter for large-scale applications
    • Leeuwen P (2003). A variance-minimizing filter for large-scale applications. Mont Weather Rev 131(9): 2071-2084
    • (2003) Mont Weather Rev , vol.131 , Issue.9 , pp. 2071-2084
    • Leeuwen, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.