메뉴 건너뛰기




Volumn 137, Issue 10, 2009, Pages 3407-3419

Accounting for model errors in ensemble data assimilation

Author keywords

[No Author keywords available]

Indexed keywords

BIAS REMOVAL; DENSE REGION; ENSEMBLE DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; FORECAST ERRORS; LOW DIMENSIONAL; MODEL ERRORS; REANALYSIS; STATE-DEPENDENT; SYSTEM NOISE;

EID: 70449106810     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2766.1     Document Type: Article
Times cited : (73)

References (36)
  • 1
    • 33750467661 scopus 로고    scopus 로고
    • Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model
    • Aksoy, A., F. Zhang, and J. W. Nielsen-Gammon, 2006a: Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model. Mon. Wea. Rev., 134, 2951-2970.
    • (2006) Mon. Wea. Rev , vol.134 , pp. 2951-2970
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3
  • 2
    • 33750616040 scopus 로고    scopus 로고
    • Ensemble-based simultaneous state and parameter estimation with MM5
    • doi:10.1029/2006GL0261286
    • Aksoy, A., F. Zhang, and J. W. Nielsen-Gammon, 2006b: Ensemble-based simultaneous state and parameter estimation with MM5. Geophys. Res. Lett., 33, L12801, doi:10.1029/2006GL0261286.
    • (2006) Geophys. Res. Lett , vol.33
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3
  • 3
    • 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
  • 4
    • 33645575318 scopus 로고    scopus 로고
    • Local ensemble Kalman filtering in the presence of model bias
    • Baek, S.-J., B. R. Hunt, E. Kalnay, E. Ott, and I. Szunyogh, 2006: Local ensemble Kalman filtering in the presence of model bias. Tellus, 58A, 293-306.
    • (2006) Tellus , vol.58 A , pp. 293-306
    • Baek, S.-J.1    Hunt, B.R.2    Kalnay, E.3    Ott, E.4    Szunyogh, I.5
  • 5
    • 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. J. 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.J.3
  • 6
    • 0033996258 scopus 로고    scopus 로고
    • A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part I:Methodology
    • Carton, J. A., G. Chepurin, X. Cao, and B. Giese, 2000: A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part I:Methodology. J. Phys. Oceanogr., 30, 294-309.
    • (2000) J. Phys. Oceanogr , vol.30 , pp. 294-309
    • Carton, J.A.1    Chepurin, G.2    Cao, X.3    Giese, B.4
  • 7
    • 20444445524 scopus 로고    scopus 로고
    • Forecast model bias correction in ocean data assimilation
    • Chepurin, G. A., J. A. Carton, and D. Dee, 2005: Forecast model bias correction in ocean data assimilation. Mon. Wea. Rev., 133, 1328-1342.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1328-1342
    • Chepurin, G.A.1    Carton, J.A.2    Dee, D.3
  • 8
    • 33847398318 scopus 로고    scopus 로고
    • An implementation of the local ensemble Kalman filter in a quasi geostrophic model and comparison with 3D-Var
    • Corazza, M., E. Kalnay, and S.-C. Yang, 2007: An implementation of the local ensemble Kalman filter in a quasi geostrophic model and comparison with 3D-Var. Nonlinear Processes Geophys., 14, 89-101.
    • (2007) Nonlinear Processes Geophys , vol.14 , pp. 89-101
    • Corazza, M.1    Kalnay, E.2    Yang, S.-C.3
  • 9
    • 45849096498 scopus 로고    scopus 로고
    • Using singular value decomposition to parameterize state-dependent model errors
    • Danforth, C. M., and E. Kalnay, 2008: Using singular value decomposition to parameterize state-dependent model errors. J. Atmos. Sci., 65, 1467-1478.
    • (2008) J. Atmos. Sci , vol.65 , pp. 1467-1478
    • Danforth, C.M.1    Kalnay, E.2
  • 10
    • 33847379878 scopus 로고    scopus 로고
    • Estimating and correcting global weather model error
    • Danforth, C. M., E. Kalnay, and T. Miyoshi, 2007: Estimating and correcting global weather model error. Mon. Wea. Rev., 135, 281-299.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 281-299
    • Danforth, C.M.1    Kalnay, E.2    Miyoshi, T.3
  • 11
    • 0000991256 scopus 로고
    • Online estimation of error covariance parameters for atmospheric data assimilation
    • Dee, D. P., 1995: Online estimation of error covariance parameters for atmospheric data assimilation. Mon. Wea. Rev., 123, 1128-1145.
    • (1995) Mon. Wea. Rev , vol.123 , pp. 1128-1145
    • Dee, D.P.1
  • 12
    • 0000674568 scopus 로고    scopus 로고
    • Data assimilation in the presence of forecast bias
    • Dee, D. P., and A. M. da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
    • (1998) Quart. J. Roy. Meteor. Soc , vol.124 , pp. 269-295
    • Dee, D.P.1    da Silva, A.M.2
  • 13
    • 0034277367 scopus 로고    scopus 로고
    • Data assimilation in the presence of forecast bias: The GEOS moisture analysis
    • Dee, D. P., and R. Todling, 2000: Data assimilation in the presence of forecast bias: The GEOS moisture analysis. Mon. Wea. Rev., 128, 3268-3282.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 3268-3282
    • Dee, D.P.1    Todling, R.2
  • 14
    • 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
    • Evensen, G.1
  • 15
    • 34249707809 scopus 로고    scopus 로고
    • Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainties
    • Fujita, T., D. J. Stensrud, and D. C. Dowell, 2007: Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainties. Mon. Wea. Rev., 135, 1846-1868.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 1846-1868
    • Fujita, T.1    Stensrud, D.J.2    Dowell, D.C.3
  • 16
    • 27744494106 scopus 로고    scopus 로고
    • Accounting for the error due to unresolved scales in ensemble data assimilation: A comparison of different approaches
    • Hamill, T.M., and J. S.Whitaker, 2005: Accounting for the error due to unresolved scales in ensemble data assimilation: A comparison of different approaches. Mon. Wea. Rev., 133, 3132-3147.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 3132-3147
    • Hamill, T.M.1    Whitaker, J.S.2
  • 19
    • 34248675795 scopus 로고    scopus 로고
    • Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
    • Hunt, B. R., E. Kostelich, and I. Szunyogh, 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.2    Szunyogh, I.3
  • 20
    • 0029768948 scopus 로고    scopus 로고
    • The NCEP/NCAR 40-Year Reanalysis Project
    • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
    • (1996) Bull. Amer. Meteor. Soc , vol.77 , pp. 437-471
    • Kalnay, E.1
  • 21
    • 22744439121 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction
    • Keppenne, C. L., M. M. Rienecker, N. P. Kurkowski, and D. A. Adamec, 2005: Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction. Nonlinear Processes Geophys., 12, 491-503.
    • (2005) Nonlinear Processes Geophys , vol.12 , pp. 491-503
    • Keppenne, C.L.1    Rienecker, M.M.2    Kurkowski, N.P.3    Adamec, D.A.4
  • 23
    • 34248364831 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect model experiments
    • Meng, Z., and F. Zhang, 2007: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect model experiments. Mon. Wea. Rev., 135, 1403-1423.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 1403-1423
    • Meng, Z.1    Zhang, F.2
  • 24
    • 44449094042 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVAR in a real-data case study
    • Meng, Z., and F. Zhang, 2008: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVAR in a real-data case study. Mon. Wea. Rev., 136, 522-540.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 522-540
    • Meng, Z.1    Zhang, F.2
  • 25
    • 0034082826 scopus 로고    scopus 로고
    • An adaptive ensemble Kalman filter
    • Mitchell, H. L., and P. L. Houtekamer, 2000: An adaptive ensemble Kalman filter. Mon. Wea. Rev., 128, 416-433.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 416-433
    • Mitchell, H.L.1    Houtekamer, P.L.2
  • 26
    • 0036853557 scopus 로고    scopus 로고
    • Ensemble size, balance, and model-error representation in an ensemble Kalman filter
    • Mitchell, H. L., P. L. Houtekamer, and G. Pellerin, 2002: Ensemble size, balance, and model-error representation in an ensemble Kalman filter. Mon. Wea. Rev., 130, 2791-2808.
    • (2002) Mon. Wea. Rev , vol.130 , pp. 2791-2808
    • Mitchell, H.L.1    Houtekamer, P.L.2    Pellerin, G.3
  • 28
    • 0037273134 scopus 로고    scopus 로고
    • Atmospheric simulations using a GCM with simplified physical parametrizations. I: Model climatology and variability in multi-decadal experiments
    • Molteni, F., 2003: Atmospheric simulations using a GCM with simplified physical parametrizations. I: Model climatology and variability in multi-decadal experiments. Climate Dyn., 20, 175-191.
    • (2003) Climate Dyn , vol.20 , pp. 175-191
    • Molteni, F.1
  • 29
    • 34548030679 scopus 로고    scopus 로고
    • The JRA-25 Reanalysis
    • Onogi, K., and Coauthors, 2007: The JRA-25 Reanalysis. J. Meteor. Soc. Japan, 85, 369-432.
    • (2007) J. Meteor. Soc. Japan , vol.85 , pp. 369-432
    • Onogi, K.1
  • 33
    • 57149141566 scopus 로고    scopus 로고
    • Performance characteristics of a pseudo- operational ensemble Kalman filter
    • Torn, R. D., and G. J. Hakim, 2008: Performance characteristics of a pseudo- operational ensemble Kalman filter. Mon. Wea. Rev., 136, 3947-3963.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 3947-3963
    • Torn, R.D.1    Hakim, G.J.2
  • 34
    • 27144554835 scopus 로고    scopus 로고
    • The ERA-40 Re-Analysis
    • Uppala, S. M., and Coauthors, 2005: The ERA-40 Re-Analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012.
    • (2005) Quart. J. Roy. Meteor. Soc , vol.131 , pp. 2961-3012
    • Uppala, S.M.1
  • 35
    • 44449095043 scopus 로고    scopus 로고
    • Ensemble data assimilation with the NCEP global forecasting system
    • Whitaker, J. S., T. M. Hamill, X. Wei, Y. Song, and Z. Toth, 2008: Ensemble data assimilation with the NCEP global forecasting system. Mon. Wea. Rev., 136, 463-482.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 463-482
    • Whitaker, J.S.1    Hamill, T.M.2    Wei, X.3    Song, Y.4    Toth, Z.5
  • 36
    • 2442717392 scopus 로고    scopus 로고
    • Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter
    • Zhang, F., C. Snyder, and J. Sun, 2004: Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev., 132, 1238-1253.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 1238-1253
    • Zhang, F.1    Snyder, C.2    Sun, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.