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Volumn , Issue , 2004, Pages 67-77

A local ensemble kalman filter for the NCEP GFS model

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCES; DATA ASSIMILATION SCHEME; LOCAL ENSEMBLE KALMAN FILTER [LKEF]; VARIANCE INFLATION; VERTICAL LOCALIZATION;

EID: 2442607396     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (30)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment filter for data assimilation
    • Anderson, J. L., 2001: An ensemble adjustment filter for data assimilation. Mon. Wea. Rev., 129, 2884-2903.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 0033500692 scopus 로고    scopus 로고
    • A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
    • Anderson, J. L., and S. L. Anderson, 1999: A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon. Wea. Rev., 127, 2741-2758.
    • (1999) Mon. Wea. Rev. , vol.127 , pp. 2741-2758
    • Anderson, J.L.1    Anderson, S.L.2
  • 3
    • 0035270690 scopus 로고    scopus 로고
    • Adaptive sampling with the ensemble transform kalman filter. Part I: Theoretical aspects
    • Bishop, C. H., B. J. Etherton, and S. Majumdar, 2001: Adaptive sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 420-436
    • Bishop, C.H.1    Etherton, B.J.2    Majumdar, S.3
  • 6
    • 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., 99(C5), 10 143-10 162.
    • (1994) J. Geophys. Res. , vol.99 , Issue.C5 , pp. 10143-10162
    • Evensen, G.1
  • 7
    • 0002162819 scopus 로고    scopus 로고
    • Assimilation of Geosat altimeter data for the Agulhas current using the ensemble Kalman Filter with a quasi-geostrophic model
    • Evensen, G., and P. J. van Leeuwen, 1996: Assimilation of Geosat altimeter data for the Agulhas current using the ensemble Kalman Filter with a quasi-geostrophic model. Mon. Wea. Rev., 124, 85-96.
    • (1996) Mon. Wea. Rev. , vol.124 , pp. 85-96
    • Evensen, G.1    Van Leeuwen, P.J.2
  • 8
    • 0003919522 scopus 로고    scopus 로고
    • Development of a simplified Kalman Filter
    • [Available from European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, RG2 9AX, United Kingdom.]
    • Fisher, M., 1998: Development of a simplified Kalman Filter. ECMWF Research Department Tech. Memo. 260, 16 pp. [Available from European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, Berkshire, RG2 9AX, United Kingdom.]
    • (1998) ECMWF Research Department Tech. Memo. , vol.260
    • Fisher, M.1
  • 9
    • 0003098460 scopus 로고
    • Applications of estimation theory to numerical weather prediction
    • L. Bengtsson, M. Ghil and E. KŁlln (Eds.), Springer Verlag
    • Ghil, M., S. Cohn, J. Tavantzis, K. Bube, and E. Isaacson, 1981: Applications of estimation theory to numerical weather prediction, Dynamic Meteorology:Data Assimilation Methods, L. Bengtsson, M. Ghil and E. KŁlln (Eds.), Springer Verlag, pp. 139224.
    • (1981) Dynamic Meteorology:Data Assimilation Methods , pp. 139224
    • Ghil, M.1    Cohn, S.2    Tavantzis, J.3    Bube, K.4    Isaacson, E.5
  • 10
    • 0033792589 scopus 로고    scopus 로고
    • A hybrid ensemble Kalman Filter-30 variational analysis scheme
    • Hamill, T. M., and C. Snyder, 2000: A hybrid ensemble Kalman Filter-30 variational analysis scheme. Mon. Wea. Rev., 128, 2905-2919.
    • (2000) Mon. Wea. Rev. , vol.128 , pp. 2905-2919
    • Hamill, T.M.1    Snyder, C.2
  • 11
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an Ensemble Kalman Filter
    • Hamill, T. M., J. Whitaker, and C. Snyder, 2001: Distance-dependent filtering of background error covariance estimates in an Ensemble Kalman Filter. Mon. Wea. Rev., 129, 2776-2790.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2776-2790
    • Hamill, T.M.1    Whitaker, J.2    Snyder, C.3
  • 12
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman Filter for atmospheric data assimilation
    • Houtekamer, P. L., and H. L. Mitchell, 2001: A sequential ensemble Kalman Filter for atmospheric data assimilation. Mon. Wea. Rev., 129, 796-811.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 13
    • 0032024819 scopus 로고    scopus 로고
    • Data assimilation using an ensemble Kalman Filter technique
    • Houtekamer, P. L., and H. L. Mitchell, 1998: Data assimilation using an ensemble Kalman Filter technique. Mon. Wea. Rev., 126, 796-811.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 15
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R., 1960: A new approach to linear filtering and prediction problems. Trans. ASME, Ser. D, J. Basic Eng., 82, 35-45.
    • (1960) Trans. ASME, Ser. D, J. Basic Eng. , vol.82 , pp. 35-45
    • Kalman, R.1
  • 16
    • 85024423711 scopus 로고
    • New results in linear filtering and prediction theory
    • Kalman, R., R. Bucy, 1961: New results in linear filtering and prediction theory. Trans. ASME, Ser. D, J. Basic Eng., 83, 95-108.
    • (1961) Trans. ASME, Ser. D, J. Basic Eng. , vol.83 , pp. 95-108
    • Kalman, R.1    Bucy, R.2
  • 19
    • 0036965503 scopus 로고    scopus 로고
    • Initial testing of a massively parallel ensemble Kalman Filter with the Poseidon Isopycnal Ocean General Circulation Model
    • Keppenne, C., and H. Rienecker, 2002: Initial testing of a massively parallel ensemble Kalman Filter with the Poseidon Isopycnal Ocean General Circulation Model. Mon. Wea. Rev., 130, 2951-2965.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 2951-2965
    • Keppenne, C.1    Rienecker, H.2
  • 20
    • 0032004313 scopus 로고    scopus 로고
    • Optimal sites for supplementary weather observations: Simulation with a small model
    • Lorenz, E. N., K. A Emanuel, 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
  • 21
    • 0001846226 scopus 로고    scopus 로고
    • Predictability: A problem partly solved
    • ECMWF, Reading, Berkshire, UK
    • Lorenz, E. N., 1996: Predictability: A problem partly solved. Proc. Seminar on Predictability, Vol. 1, ECMWF, Reading, Berkshire, UK, 1-18.
    • (1996) Proc. Seminar on Predictability , vol.1 , pp. 1-18
    • Lorenz, E.N.1
  • 26
    • 0001509508 scopus 로고
    • Ensemble forecasting at NMC: The generation of perturbations
    • Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of perturbations. Bull. Amer. Meteorol. Soc., 74, 2317-2330.
    • (1993) Bull. Amer. Meteorol. Soc. , vol.74 , pp. 2317-2330
    • Toth, Z.1    Kalnay, E.2
  • 27
    • 2442475946 scopus 로고    scopus 로고
    • Ensemble forecasting at NCEP and the breeding method
    • Toth, Z., and E. Kalnay, 1997: Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Rev., 127, 1374-1377.
    • (1997) Mon. Wea. Rev. , vol.127 , pp. 1374-1377
    • Toth, Z.1    Kalnay, E.2
  • 28
    • 0141464296 scopus 로고    scopus 로고
    • A comparison of breeding and Ensemble Transform Kalman Filter ensemble forecast schemes
    • Preprints, Orlando, FL., Amer. Meteor. Soc.
    • Wang, X., and C. H. Bishop, 2002: A comparison of breeding and Ensemble Transform Kalman Filter ensemble forecast schemes. Preprints, Symposium on Observations, Data Assimilation, and Probabilistic Prediction, Orlando, FL., Amer. Meteor. Soc., J28-J31.
    • (2002) Symposium on Observations, Data Assimilation, and Probabilistic Prediction
    • Wang, X.1    Bishop, C.H.2
  • 29
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data Assimilation without perturbed observations
    • Whitaker, J. S., and T. H. Hamill, 2002: Ensemble Data Assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913-1924.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.H.2
  • 30
    • 2442468397 scopus 로고    scopus 로고
    • Reanalysis without radiosondes using ensemble data assimilation
    • submitted. Available from jeffrey.s.whitaker@noaa.gov
    • Whitaker, J. S., G. P. Compo, X. Wei, and T. M. Hamill, 2003: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., submitted. Available from jeffrey.s.whitaker@noaa.gov.
    • (2003) Mon. Wea. Rev.
    • Whitaker, J.S.1    Compo, G.P.2    Wei, X.3    Hamill, T.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.