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Volumn 138, Issue 664, 2012, Pages 802-812

A regulated localization scheme for ensemble-based Kalman filters

Author keywords

Data assimilation

Indexed keywords

DATA ASSIMILATION; ESSENTIAL ELEMENTS; ESTIMATION ERRORS; KALMAN GAIN; LOCAL REGION; LOCALIZATION EFFECT; LOCALIZATION FUNCTIONS; LOCALIZATION METHOD; LOCALIZATION SCHEMES; TWIN EXPERIMENTS;

EID: 84859755844     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.945     Document Type: Article
Times cited : (56)

References (34)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An Ensemble Adjustment Kalman Filter for data assimilation
    • Anderson JL. 2001. An Ensemble Adjustment Kalman Filter for data assimilation. Mon. Weather Rev. 129: 2884-2903.
    • (2001) Mon. Weather Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 34248655165 scopus 로고    scopus 로고
    • Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter
    • Anderson JL. 2007. Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter. Physica D 230: 99-111.
    • (2007) Physica D , vol.230 , pp. 99-111
    • Anderson, J.L.1
  • 3
    • 58049107252 scopus 로고    scopus 로고
    • Ensemble covariances adaptively localized with ECO-RAP. Part 1: Tests on simple error models.
    • Bishop CH, Hodyss D. 2009. Ensemble covariances adaptively localized with ECO-RAP. Part 1: Tests on simple error models. Tellus 61A: 84-96.
    • (2009) Tellus , vol.61 , pp. 84-96
    • Bishop, C.H.1    Hodyss, D.2
  • 4
    • 0035270690 scopus 로고    scopus 로고
    • Adaptive sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical aspects.
    • Bishop CH, Etherton BJ, Majumdar SJ. 2001. Adaptive sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical aspects. Mon. Weather Rev. 129: 420-436.
    • (2001) Mon. Weather Rev. , vol.129 , pp. 420-436
    • Bishop, C.H.1    Etherton, B.J.2    Majumdar, S.J.3
  • 6
    • 0032439201 scopus 로고    scopus 로고
    • On the analysis scheme in the Ensemble Kalman Filter
    • Burgers G, van Leeuwen PJ, Evensen G. 1998. On the 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    van Leeuwen, P.J.2    Evensen, G.3
  • 7
    • 77953226947 scopus 로고    scopus 로고
    • Vertical covariance localization for satellite radiances in ensemble Kalman filters
    • Campbell WF, Bishop CH, Hodyss D. 2010. Vertical covariance localization for satellite radiances in ensemble Kalman filters. Mon. Weather Rev. 138: 282-290.
    • (2010) Mon. Weather Rev. , vol.138 , pp. 282-290
    • Campbell, W.F.1    Bishop, C.H.2    Hodyss, D.3
  • 8
    • 0032999493 scopus 로고    scopus 로고
    • Assessing the effects of data selection with the DAO physical-space statistical analysis system
    • Cohn SE, Silva AD, Guo J, Sienkiewicz M, Lamich D. 1998. Assessing the effects of data selection with the DAO physical-space statistical analysis system. Mon. Weather Rev. 126: 2913-2926.
    • (1998) Mon. Weather Rev. , vol.126 , pp. 2913-2926
    • Cohn, S.E.1    Silva, A.D.2    Guo, J.3    Sienkiewicz, M.4    Lamich, D.5
  • 9
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99C5 10 143-10 162.
    • (1994) J. Geophys. Res. , vol.99
    • Evensen, G.1
  • 10
    • 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. Q. J. R. Meteorol. Soc. 125: 723-757.
    • (1999) Q. J. R. Meteorol. Soc. , vol.125 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 12
    • 0010475772 scopus 로고    scopus 로고
    • Assimilation of SLA and SST data into an OGCM for the Indian Ocean
    • Haugen VE, Evensen G. 2002. Assimilation of SLA and SST data into an OGCM for the Indian Ocean. Ocean Dynamics 52: 133-151.
    • (2002) Ocean Dynamics , vol.52 , pp. 133-151
    • Haugen, V.E.1    Evensen, G.2
  • 13
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an Ensemble Kalman Filter technique
    • Houtekamer PL, 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.L.1    Mitchell, H.L.2
  • 14
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman filter for atmospheric data assimilation
    • Houtekamer PL, Mitchell HL. 2001. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Weather Rev. 129: 123-137.
    • (2001) Mon. Weather Rev. , vol.129 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 15
    • 34248675795 scopus 로고    scopus 로고
    • Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
    • Hunt BR, Kostelich EJ, Szunyogh I. 2007. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D 230: 112-126.
    • (2007) Physica D , vol.230 , pp. 112-126
    • Hunt, B.R.1    Kostelich, E.J.2    Szunyogh, I.3
  • 17
    • 4444303259 scopus 로고    scopus 로고
    • Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth
    • Lawson WG, Hansen JA. 2004. Implications of stochastic and deterministic filters as ensemble-based data assimilation methods in varying regimes of error growth. Mon. Weather Rev. 132: 1966-1981.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 1966-1981
    • Lawson, W.G.1    Hansen, J.A.2
  • 18
    • 84859771203 scopus 로고    scopus 로고
    • Predictability-a problem partly solved'. In Proceedings Seminar on Predictability. ECMWF: Reading, UK
    • Lorenz EN. 1996. 'Predictability-a problem partly solved'. In Proceedings Seminar on Predictability. ECMWF: Reading, UK, pp 1-18.
    • (1996) , pp. 1-18
    • Lorenz, E.N.1
  • 19
    • 0032004313 scopus 로고    scopus 로고
    • Optimal sites for supplementary weather observations: Simulation with a small model
    • Lorenz EN, Emanuel KA. 1998. Optimal sites for supplementary weather observations: Simulation with a small model. J. Atmos. Sci. 55: 399-414.
    • (1998) J. Atmos. Sci. , vol.55 , pp. 399-414
    • Lorenz, E.N.1    Emanuel, K.A.2
  • 20
    • 34247110575 scopus 로고    scopus 로고
    • Local ensemble transform Kalman filter with an AGCM at a T159/L48 resolution
    • Miyoshi T, Yamane S. 2007. Local ensemble transform Kalman filter with an AGCM at a T159/L48 resolution. Mon. Weather Rev. 135: 3841-3861.
    • (2007) Mon. Weather Rev. , vol.135 , pp. 3841-3861
    • Miyoshi, T.1    Yamane, S.2
  • 21
    • 67449138958 scopus 로고    scopus 로고
    • Localizing the error covariance by physical distances within a Local Ensemble Transform Kalman Filter (LETKF)
    • Miyoshi T, Yamane S, Enomoto T. 2007. Localizing the error covariance by physical distances within a Local Ensemble Transform Kalman Filter (LETKF). Scientific Online Letters on the Atmosphere (SOLA) 3: 89-92.
    • (2007) Scientific Online Letters on the Atmosphere (SOLA) , vol.3 , pp. 89-92
    • Miyoshi, T.1    Yamane, S.2    Enomoto, T.3
  • 22
    • 35348895768 scopus 로고    scopus 로고
    • Assimilation of SeaWiFS data into a global ocean-biogeochemical model using a local SEIK filter
    • Nerger L, Gregg WW. 2007. Assimilation of SeaWiFS data into a global ocean-biogeochemical model using a local SEIK filter. J. Marine Systems 68: 237-254.
    • (2007) J. Marine Systems , vol.68 , pp. 237-254
    • Nerger, L.1    Gregg, W.W.2
  • 23
    • 48349139804 scopus 로고    scopus 로고
    • Improving assimilation of SeaWiFS data by the application of bias correction with a local SEIK filter
    • Nerger L, Gregg WW. 2008. Improving assimilation of SeaWiFS data by the application of bias correction with a local SEIK filter. J. Marine Systems 73: 87-102.
    • (2008) J. Marine Systems , vol.73 , pp. 87-102
    • Nerger, L.1    Gregg, W.W.2
  • 24
    • 33745313011 scopus 로고    scopus 로고
    • A comparison of error subspace Kalman filters
    • Nerger L, Hiller W, Schröter J. 2005a. A comparison of error subspace Kalman filters. Tellus 57A: 715-735.
    • (2005) Tellus , vol.57 , pp. 715-735
    • Nerger, L.1    Hiller, W.2    Schröter, J.3
  • 26
    • 33845963193 scopus 로고    scopus 로고
    • Using sea level data to constrain a finite-element primitive-equation ocean model with a local SEIK filter
    • Nerger L, Danilov S, Hiller W, Schröter J. 2006. Using sea level data to constrain a finite-element primitive-equation ocean model with a local SEIK filter. Ocean Dynamics 56: 634-649.
    • (2006) Ocean Dynamics , vol.56 , pp. 634-649
    • Nerger, L.1    Danilov, S.2    Hiller, W.3    Schröter, J.4
  • 28
    • 0035335074 scopus 로고    scopus 로고
    • Stochastic methods for sequential data assimilation in strongly nonlinear systems
    • Pham DT. 2001. Stochastic methods for sequential data assimilation in strongly nonlinear systems. Mon. Weather Rev. 129: 1194-1207.
    • (2001) Mon. Weather Rev. , vol.129 , pp. 1194-1207
    • Pham, D.T.1
  • 29
    • 0031820166 scopus 로고    scopus 로고
    • Singular evolutive Kalman filters for data assimilation in oceanography
    • Pham DT, Verron J, Gourdeau L. 1998. Singular evolutive Kalman filters for data assimilation in oceanography. C. R. A. S., Ser. II 326: 255-260.
    • (1998) C. R. A. S., Ser. II , vol.326 , pp. 255-260
    • Pham, D.T.1    Verron, J.2    Gourdeau, L.3
  • 30
    • 79952441516 scopus 로고    scopus 로고
    • Relation between two common localisation methods for the EnKF
    • Sakov P, Bertino L. 2011. Relation between two common localisation methods for the EnKF. Comput. Geosci. 15: 225-237.
    • (2011) Comput. Geosci. , vol.15 , pp. 225-237
    • Sakov, P.1    Bertino, L.2
  • 31
    • 39049173291 scopus 로고    scopus 로고
    • Implications of the form of the ensemble transformation in the ensemble square root filters
    • Sakov P, Oke PR. 2008. Implications of the form of the ensemble transformation in the ensemble square root filters. Mon. Weather Rev. 136: 1042-1053.
    • (2008) Mon. Weather Rev. , vol.136 , pp. 1042-1053
    • Sakov, P.1    Oke, P.R.2
  • 33
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker JS, Hamill TM. 2002. Ensemble data assimilation without perturbed observations. Mon. Weather Rev. 130: 1913-1927.
    • (2002) Mon. Weather Rev. , vol.130 , pp. 1913-1927
    • Whitaker, J.S.1    Hamill, T.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.