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Volumn 136, Issue 9, 2008, Pages 3363-3373

An ensemble-based four-dimensional variational data assimilation scheme. Part I: Technical formulation and preliminary test

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL THEORY; COVARIANCE MATRIX; FORECASTING; MATRIX ALGEBRA; OFFSHORE OIL WELL PRODUCTION; OPTIMIZATION; SENSITIVITY ANALYSIS;

EID: 53649085420     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008MWR2312.1     Document Type: Article
Times cited : (227)

References (41)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment Kalman filter for data assimilation
    • Anderson, J. L., 2001: An ensemble adjustment Kalman 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 ransemble assimilations and forecasts
    • Anderson, J. L., and S. L. Anderson, 1999: A Monte Carlo implementation of the nonlinear filtering problem to produce ransemble 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
    • Bishop, C. H., B. J, Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mom Wea. Rev., 129, 420-436.
    • Bishop, C. H., B. J, Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mom Wea. Rev., 129, 420-436.
  • 4
    • 53649111120 scopus 로고    scopus 로고
    • Bouttier, F., and P. Courtier, cited-2007: Data assimilation concepts and methods. Meteorological Training Course Lecture Series, ECMWF, Reading, United Kingdom. [Available online at http://www.ecmwf.int/ newsevents/training/rcourse-notes/DATA_ASSIMILATION/ASSIM_CONCEPTS/ Assim_concepts.html.]
    • Bouttier, F., and P. Courtier, cited-2007: Data assimilation concepts and methods. Meteorological Training Course Lecture Series, ECMWF, Reading, United Kingdom. [Available online at http://www.ecmwf.int/ newsevents/training/rcourse-notes/DATA_ASSIMILATION/ASSIM_CONCEPTS/ Assim_concepts.html.]
  • 5
    • 24944560859 scopus 로고    scopus 로고
    • Ensemble-derived stationary and flow-dependent background error covariances: Evaluation in a quasi-operation NWP setting
    • Buehner, M., 2005: Ensemble-derived stationary and flow-dependent background error covariances: Evaluation in a quasi-operation NWP setting. Quart. J. Roy. Meteor. Soc., 131, 1013-1043.
    • (2005) Quart. J. Roy. Meteor. Soc , vol.131 , pp. 1013-1043
    • Buehner, M.1
  • 6
    • 0028561614 scopus 로고
    • A strategy for operational implementation of 4DVAR, using an incremental approach
    • Courtier, P., J. N. Thepaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4DVAR, using an incremental approach. Quart. J. Roy. Meteor. Soc., 120, 1367-1387.
    • (1994) Quart. J. Roy. Meteor. Soc , vol.120 , pp. 1367-1387
    • Courtier, P.1    Thepaut, J.N.2    Hollingsworth, A.3
  • 8
    • 0000991256 scopus 로고
    • On-line estimation of error covariance, parameters for atmospheric data assimilation
    • Dee, D. P., 1995: On-line 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
  • 10
    • 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, 143-162.
    • (1994) J. Geophys. Res , vol.99 , pp. 143-162
    • Evensen, G.1
  • 11
    • 0033942436 scopus 로고    scopus 로고
    • An ensemble Kalman smoother for nonlinear dynamics
    • Evensen, G., and P. J. van Leeuwen, 2000: An ensemble Kalman smoother for nonlinear dynamics. Mon. Wea. Rev., 128, 1852-1867.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 1852-1867
    • Evensen, G.1    van Leeuwen, P.J.2
  • 12
    • 33846306308 scopus 로고    scopus 로고
    • A comparative study of 4D-VAR and a 4D ensemble filter: Perfect model simulations with Lorenz-96
    • Fertig, E. J., J. Harlim, and B. R. Hunt, 2007: A comparative study of 4D-VAR and a 4D ensemble filter: Perfect model simulations with Lorenz-96. Tellus, 59A, 96-100.
    • (2007) Tellus , vol.59 A , pp. 96-100
    • Fertig, E.J.1    Harlim, J.2    Hunt, B.R.3
  • 13
    • 2442612436 scopus 로고    scopus 로고
    • Background error covariance modeling
    • Reading, United Kingdom, ECMWF, Available online
    • Fisher, M., 2003: Background error covariance modeling. Proc. Seminar on Recent Developments in Data Assimilation for Atmosphere and Ocean, Reading, United Kingdom, ECMWF, 45-63. [Available online http://www.eemwf.int/newsevents/meetings/annual-seminar/ seminar2003_presentations/Fisher.pdf.]
    • (2003) Proc. Seminar on Recent Developments in Data Assimilation for Atmosphere and Ocean , pp. 45-63
    • Fisher, M.1
  • 14
    • 34249975203 scopus 로고
    • Some numerical experiments with variable storage quasi-Newton algorithms
    • Gilbert, J. C., and C. Lemarechal, 1989: Some numerical experiments with variable storage quasi-Newton algorithms. Math. Programming, 45B, 407-435.
    • (1989) Math. Programming , vol.45 B , pp. 407-435
    • Gilbert, J.C.1    Lemarechal, C.2
  • 15
    • 53649105380 scopus 로고    scopus 로고
    • Ensemble-based data assimilation
    • Reading, United Kingdom, ECMWF, Available online at
    • Hamill, T. M., 2002: Ensemble-based data assimilation. Proc. Workshop on Predictability, Reading, United Kingdom, ECMWF, 83-112. [Available online at http://www.ecmwf.int/publications/library/ecpublications/_pdf/ seminar/2002/sem02_hamill.pdf.]
    • (2002) Proc. Workshop on Predictability , pp. 83-112
    • Hamill, T.M.1
  • 16
    • 0033792589 scopus 로고    scopus 로고
    • A hybrid ensemble Kalman filter-3D variational analysis scheme
    • Hamill, T. M., and C. Snyder, 2001: A hybrid ensemble Kalman filter-3D variational analysis scheme. Mon. Wea. Rev., 128, 2905-2919.
    • (2001) Mon. Wea. Rev , vol.128 , pp. 2905-2919
    • Hamill, T.M.1    Snyder, C.2
  • 17
    • 0028846284 scopus 로고
    • Recursive filter objective analysis of meteorological fields application to NESDIS operational processing
    • Hayden, C. M., and R. J. Purser, 1995: Recursive filter objective analysis of meteorological fields application to NESDIS operational processing. J. Appl. Meteor., 34, 3-15.
    • (1995) J. Appl. Meteor , vol.34 , pp. 3-15
    • Hayden, C.M.1    Purser, R.J.2
  • 18
    • 0022842583 scopus 로고
    • The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field
    • Hollingsworth, A., and P. Lonnberg, 1986: The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field. Tellus, 38A, 111-136.
    • (1986) Tellus , vol.38 A , pp. 111-136
    • Hollingsworth, A.1    Lonnberg, P.2
  • 19
    • 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
  • 20
    • 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, 123-137.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 22
    • 3843055922 scopus 로고    scopus 로고
    • Four-dimensional ensemble Kalman filtering
    • Hunt, B. R., and Coauthors, 2004: Four-dimensional ensemble Kalman filtering. Tellus, 56A, 273-277.
    • (2004) Tellus , vol.56 A , pp. 273-277
    • Hunt, B.R.1
  • 23
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R. E., 1960: A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng., 82D, 35-45.
    • (1960) Trans. ASME J. Basic Eng , vol.82 D , pp. 35-45
    • Kalman, R.E.1
  • 24
    • 0035088274 scopus 로고    scopus 로고
    • Optimality of variational data assimilation and its relationship with the Kalman filter and smoother
    • Li, Z., and I. M. Navon, 2001: Optimality of variational data assimilation and its relationship with the Kalman filter and smoother. Quart. J. Roy. Meteor. Soc., 127, 661-683.
    • (2001) Quart. J. Roy. Meteor. Soc , vol.127 , pp. 661-683
    • Li, Z.1    Navon, I.M.2
  • 25
    • 0027073403 scopus 로고
    • Iterative analysis using covariance functions and filters
    • Lorenc, A. C., 1992: Iterative analysis using covariance functions and filters. Quart. J. Roy. Meteor. Soc., 118, 569-591.
    • (1992) Quart. J. Roy. Meteor. Soc , vol.118 , pp. 569-591
    • Lorenc, A.C.1
  • 26
    • 0347709927 scopus 로고    scopus 로고
    • The potential of the ensemble Kalman filter for NWP: A comparison with 4D-VAR
    • Lorenc, A. C., 2003: The potential of the ensemble Kalman filter for NWP: A comparison with 4D-VAR. Quart. J. Roy. Meteor. Soc., 129, 3183-3203.
    • (2003) Quart. J. Roy. Meteor. Soc , vol.129 , pp. 3183-3203
    • Lorenc, A.C.1
  • 27
    • 0036853557 scopus 로고    scopus 로고
    • Ensemble size, and model-effor representation in an ensemble Kalman filter
    • Mitchell, H. L., P. L. Houtekamer, and G. Pellerin, 2002: Ensemble size, and model-effor 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
    • 0027040023 scopus 로고
    • The National Meteorological Center's spectral statistical interpolation analysis system
    • Parrish, D., and J. Derber, 1992: The National Meteorological Center's spectral statistical interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763.
    • (1992) Mon. Wea. Rev , vol.120 , pp. 1747-1763
    • Parrish, D.1    Derber, J.2
  • 29
    • 0036129946 scopus 로고    scopus 로고
    • Some aspects of the improvement in skill of numerical weather prediction
    • Simmons, A. J., and A. Hollingsworth, 2002: Some aspects of the improvement in skill of numerical weather prediction. Quart. J. Roy. Meteor. Soc., 128, 647-677.
    • (2002) Quart. J. Roy. Meteor. Soc , vol.128 , pp. 647-677
    • Simmons, A.J.1    Hollingsworth, A.2
  • 30
    • 0141571533 scopus 로고    scopus 로고
    • Assimilation of simulated radar observations with an ensemble Kalman filter
    • Snyder, C., and F. Zhang, 2003: Assimilation of simulated radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
    • (2003) Mon. Wea. Rev , vol.131 , pp. 1663-1677
    • Snyder, C.1    Zhang, F.2
  • 32
    • 0023128058 scopus 로고
    • Variational assimilation of meteorological observations with the adjoint vorticity equation. I: Theory
    • Talagrand, O., and P. Courtier, 1987: Variational assimilation of meteorological observations with the adjoint vorticity equation. I: Theory. Quart. J. Roy. Meteor. Soc., 113, 1311-1328.
    • (1987) Quart. J. Roy. Meteor. Soc , vol.113 , pp. 1311-1328
    • Talagrand, O.1    Courtier, P.2
  • 33
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker, J. S., and T. M. 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.M.2
  • 34
    • 0033825533 scopus 로고    scopus 로고
    • Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme
    • Yjao, Q., X. Zou, and B. Wang, 2000: Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme. Mon. Wea. Rev., 128, 2252-2269.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 2252-2269
    • Yjao, Q.1    Zou, X.2    Wang, B.3
  • 35
    • 0036509456 scopus 로고    scopus 로고
    • Impact of GMS-5 and GOES-9 satellite-derived winds on the prediction of a NORPEX extratropical cyclone
    • Yjao, Q., X. Zou, and B. Wang, M. Pondeca, M. A. Shapiro, and C. S. Velden, 2002: Impact of GMS-5 and GOES-9 satellite-derived winds on the prediction of a NORPEX extratropical cyclone. Mon. Wea. Rev., 130, 507-528.
    • (2002) Mon. Wea. Rev , vol.130 , pp. 507-528
    • Yjao, Q.1    Zou, X.2    Wang, B.3    Pondeca, M.4    Shapiro, M.A.5    Velden, C.S.6
  • 36
    • 0035655697 scopus 로고    scopus 로고
    • Estimation of three-dimensional error covariances. Part II: Analysis of wind innovation vectors
    • Xu, Q., and L. Wei, 2001: Estimation of three-dimensional error covariances. Part II: Analysis of wind innovation vectors. Mon. Wea. Rev., 129, 2939-2954.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 2939-2954
    • Xu, Q.1    Wei, L.2
  • 37
    • 0036538487 scopus 로고    scopus 로고
    • Estimation of three-dimensional error covariances. Part III: Height-wind forecast error correlation and related geostrophy
    • Xu, Q., and L. Wei, 2002: Estimation of three-dimensional error covariances. Part III: Height-wind forecast error correlation and related geostrophy. Mon. Wea. Rev., 130, 1052-1062.
    • (2002) Mon. Wea. Rev , vol.130 , pp. 1052-1062
    • Xu, Q.1    Wei, L.2
  • 38
    • 0035420230 scopus 로고    scopus 로고
    • Estimation of three-dimensional error covariances. Part I: Analysis of height innovation vectors
    • Xu, Q., and L. Wei, A. V. Tuyi, and E. H. Baker, 2001: Estimation of three-dimensional error covariances. Part I: Analysis of height innovation vectors. Mon. Wea. Rev., 129, 2126-2135.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 2126-2135
    • Xu, Q.1    Wei, L.2    Tuyi, A.V.3    Baker, E.H.4
  • 39
    • 0000322891 scopus 로고    scopus 로고
    • Rainfall assimilation through an optimal control of initial and boundary conditions in a limited-area mesoscale model
    • Zou, X., and Y. H. Kuo, 1996: Rainfall assimilation through an optimal control of initial and boundary conditions in a limited-area mesoscale model. Mon. Wea. Rev., 124 2859-2882.
    • (1996) Mon. Wea. Rev , vol.124 , pp. 2859-2882
    • Zou, X.1    Kuo, Y.H.2
  • 40
    • 0027879853 scopus 로고
    • Regional four-dimensional variational data assimilation in a quasi-operational forecasting environment
    • Zupanski, M., 1993: Regional four-dimensional variational data assimilation in a quasi-operational forecasting environment. Mon-Wea. Rev., 121, 2396-2408.
    • (1993) Mon-Wea. Rev , vol.121 , pp. 2396-2408
    • Zupanski, M.1
  • 41
    • 24944523803 scopus 로고    scopus 로고
    • Maximum likelihood ensemble filter: Theoretical aspects
    • Zupanski, M., 2005: Maximum likelihood ensemble filter: Theoretical aspects. Mon. Wed. Rev., 133, 1710-1726.
    • (2005) Mon. Wed. Rev , vol.133 , pp. 1710-1726
    • Zupanski, M.1


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