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Volumn 135, Issue 4, 2007, Pages 1403-1423

Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect model experiments

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; ERROR ANALYSIS; KALMAN FILTERS; MATHEMATICAL MODELS; SNOW; STORMS;

EID: 34248364831     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3352.1     Document Type: Article
Times cited : (139)

References (52)
  • 1
    • 26444458316 scopus 로고    scopus 로고
    • Data assimilation with the ensemble Kalman filter for thermally forced circulations
    • doi:10.1029/ 2004JD005718
    • Aksoy, A., F. Zhang, J. W. Nielsen-Gammon, and C. C. Epifanio, 2005: Data assimilation with the ensemble Kalman filter for thermally forced circulations. J. Geophys. Res., 110, D16105, doi:10.1029/ 2004JD005718.
    • (2005) J. Geophys. Res , vol.110
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3    Epifanio, C.C.4
  • 2
    • 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
  • 3
    • 33750616040 scopus 로고    scopus 로고
    • Ensemble-based simultaneous state and parameter estimation with MM5
    • doi:10.1029/2006GL026186
    • 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:10.1029/2006GL026186.
    • (2006) Geophys. Res. Lett , vol.33
    • Aksoy, A.1    Zhang, F.2    Nielsen-Gammon, J.W.3
  • 4
    • 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
  • 5
    • 3843138534 scopus 로고    scopus 로고
    • The cumulus parameterization problem: Past, present and future
    • Arakawa, A., 2004: The cumulus parameterization problem: Past, present and future. J. Climate, 17, 2493-2525.
    • (2004) J. Climate , vol.17 , pp. 2493-2525
    • Arakawa, A.1
  • 6
    • 3042798251 scopus 로고    scopus 로고
    • A three-dimensional variational data assimilation system for MM5: Implementation and initial results
    • Barker, D. M., W. Huang, Y.-R. Guo, A. J. Bourgeois, and Q. N. Xiao, 2004: A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon. Wea. Rev., 132, 897-914.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 897-914
    • Barker, D.M.1    Huang, W.2    Guo, Y.-R.3    Bourgeois, A.J.4    Xiao, Q.N.5
  • 7
    • 24144470136 scopus 로고    scopus 로고
    • A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation
    • Caya, A., J. Sun, and C. Snyder, 2005: A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation. Mon. Wea. Rev., 133, 3081-3094.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 3081-3094
    • Caya, A.1    Sun, J.2    Snyder, C.3
  • 9
    • 0027798805 scopus 로고
    • Spectral characteristics of Kalman filter systems for atmospheric data assimilation
    • Daley, R., and R. Menard, 1993: Spectral characteristics of Kalman filter systems for atmospheric data assimilation. Mon. Wea. Rev., 121, 1554-1565.
    • (1993) Mon. Wea. Rev , vol.121 , pp. 1554-1565
    • Daley, R.1    Menard, R.2
  • 10
    • 34248366116 scopus 로고    scopus 로고
    • A data assimilation case study using a limited-area ensemble Kalman filter
    • Dirren, S., R. D. Torn, and G. J. Hakim, 2007: A data assimilation case study using a limited-area ensemble Kalman filter. Mon. Wea. Rev., 135, 1455-1473.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 1455-1473
    • Dirren, S.1    Torn, R.D.2    Hakim, G.J.3
  • 11
    • 4444315259 scopus 로고    scopus 로고
    • Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments
    • Dowell, D., F. Zhang, L. J. Wicker, C. Snyder, and N. A. Crook, 2004: Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments. Mon. Wea. Rev., 132, 1982-2005.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 1982-2005
    • Dowell, D.1    Zhang, F.2    Wicker, L.J.3    Snyder, C.4    Crook, N.A.5
  • 12
    • 0027838070 scopus 로고
    • A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front
    • Dudhia, J., 1993: A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493-1513.
    • (1993) Mon. Wea. Rev , vol.121 , pp. 1493-1513
    • Dudhia, J.1
  • 13
    • 0033745169 scopus 로고    scopus 로고
    • Joint medium-range ensembles from the Met Office and ECMWF systems
    • Evans, R. E., M. S. J. Harrison, R. J. Graham, and K. R. Mylne, 2000: Joint medium-range ensembles from the Met Office and ECMWF systems. Mon. Wea. Rev., 128, 3104-3127.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 3104-3127
    • Evans, R.E.1    Harrison, M.S.J.2    Graham, R.J.3    Mylne, K.R.4
  • 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, 10 143-10 162.
    • (1994) J. Geophys. Res , vol.99
    • Evensen, G.1
  • 15
    • 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
  • 16
    • 33745244260 scopus 로고    scopus 로고
    • Fujita, T., D. J. Stensrud, and D. C. Dowell, 2005: Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainties. Preprints, 11th Conf. on Mesoscale Processes, Alberqueque, NM, Amer. Meteor. Soc., CD-ROM, 1M.3.
    • Fujita, T., D. J. Stensrud, and D. C. Dowell, 2005: Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainties. Preprints, 11th Conf. on Mesoscale Processes, Alberqueque, NM, Amer. Meteor. Soc., CD-ROM, 1M.3.
  • 17
    • 0033023511 scopus 로고    scopus 로고
    • Construction of correlation functions in two and three dimensions
    • Gaspari, G., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723-757.
    • (1999) Quart. J. Roy. Meteor. Soc , vol.125 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 18
    • 0037101740 scopus 로고    scopus 로고
    • A generalized approach to parameterizing convection combining ensemble and data assimilation techniques
    • doi:10.1029/ 2002GL015311
    • Grell, G. A., and D. Devenyi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 1693, doi:10.1029/ 2002GL015311.
    • (2002) Geophys. Res. Lett , vol.29 , pp. 1693
    • Grell, G.A.1    Devenyi, D.2
  • 19
    • 34248334670 scopus 로고    scopus 로고
    • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 117 pp.
    • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 117 pp.
  • 20
    • 84927058641 scopus 로고    scopus 로고
    • Ensemble-based atmospheric data assimilation
    • T. Palmer and R. Hagedorn, Eds, Cambridge University Press
    • Hamill, T. M., 2006: Ensemble-based atmospheric data assimilation. Predictability of Weather and Climate, T. Palmer and R. Hagedorn, Eds., Cambridge University Press, 124-156.
    • (2006) Predictability of Weather and Climate , pp. 124-156
    • Hamill, T.M.1
  • 21
    • 0033792589 scopus 로고    scopus 로고
    • A hybrid ensemble Kalman filter-3D variational analysis scheme
    • Hamill, T. M., and C. Snyder, 2000: A hybrid ensemble Kalman filter-3D 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
  • 22
    • 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
  • 23
    • 0036793030 scopus 로고    scopus 로고
    • Accounting for model error in ensemble-based state estimation and forecasting
    • Hansen, J. A., 2002: Accounting for model error in ensemble-based state estimation and forecasting. Mon. Wea. Rev., 130, 2373-2391.
    • (2002) Mon. Wea. Rev , vol.130 , pp. 2373-2391
    • Hansen, J.A.1
  • 24
    • 34248335054 scopus 로고    scopus 로고
    • Probabilistic evaluation of the dynamics and predictability of the meoscale convective vortex of 10-13 June 2003
    • Hawblitzel, D. P., F. Zhang, Z. Meng, and C. A. Davis, 2007: Probabilistic evaluation of the dynamics and predictability of the meoscale convective vortex of 10-13 June 2003. Mon. Wea. Rev., 135, 1544-1563.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 1544-1563
    • Hawblitzel, D.P.1    Zhang, F.2    Meng, Z.3    Davis, C.A.4
  • 25
    • 0001120422 scopus 로고    scopus 로고
    • Using ensemble forecasts for model validation
    • Houtekamer, P. L., and L. Lefaivre, 1997: Using ensemble forecasts for model validation. Mon. Wea. Rev., 125, 2416-2426.
    • (1997) Mon. Wea. Rev , vol.125 , pp. 2416-2426
    • Houtekamer, P.L.1    Lefaivre, L.2
  • 26
    • 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., 1126, 796-811.
    • (1998) Mon. Wea. Rev , vol.1126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 29
    • 0033912092 scopus 로고    scopus 로고
    • Data assimilation into a primitive-equation model with a parallel ensemble Kalman filter
    • Keppenne, C. L., 2000: Data assimilation into a primitive-equation model with a parallel ensemble Kalman filter. Mon. Wea. Rev., 128, 1971-1981.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 1971-1981
    • Keppenne, C.L.1
  • 30
    • 0037696319 scopus 로고    scopus 로고
    • Assimilation of temperature into an isopycnal ocean general circulation model using a parallel Ensemble Kalman Filter
    • Keppenne, C. L., and M. M. Rienecker, 2003: Assimilation of temperature into an isopycnal ocean general circulation model using a parallel Ensemble Kalman Filter. J. Mar. Syst., 40-41, 363-380.
    • (2003) J. Mar. Syst , vol.40-41 , pp. 363-380
    • Keppenne, C.L.1    Rienecker, M.M.2
  • 32
    • 0347709927 scopus 로고    scopus 로고
    • The potential of the ensemble Kalman filter for NWP - A comparison with 4Dvar
    • Lorenc, A. C., 2003: The potential of the ensemble Kalman filter for NWP - A comparison with 4Dvar. Quart. J. Roy. Meteor. Soc., 129, 3183-3203.
    • (2003) Quart. J. Roy. Meteor. Soc , vol.129 , pp. 3183-3203
    • Lorenc, A.C.1
  • 33
    • 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
  • 34
    • 0022213333 scopus 로고
    • Incorporation of cloud-scale and mesoscale downdrafts into a cumulus parameterization: Results of one- and three-dimensional integrations
    • Molinari, J., and T. Corsetti, 1985: Incorporation of cloud-scale and mesoscale downdrafts into a cumulus parameterization: Results of one- and three-dimensional integrations. Mon. Wea. Rev., 113, 485-501.
    • (1985) Mon. Wea. Rev , vol.113 , pp. 485-501
    • Molinari, J.1    Corsetti, T.2
  • 35
    • 0026458410 scopus 로고
    • Parameterization of convective precipitation in mesoscale numerical models: A critical review
    • Molinari, J., and M. Dudek, 1992: Parameterization of convective precipitation in mesoscale numerical models: A critical review. Mon. Wea. Rev., 120, 326-344.
    • (1992) Mon. Wea. Rev , vol.120 , pp. 326-344
    • Molinari, J.1    Dudek, M.2
  • 36
    • 0036325834 scopus 로고    scopus 로고
    • Role of the metric in forecast error growth: How chaotic is the weather?
    • Orrell, D., 2002: Role of the metric in forecast error growth: How chaotic is the weather? Tellus, 54A, 350-362.
    • (2002) Tellus , vol.54 A , pp. 350-362
    • Orrell, D.1
  • 38
    • 0035086606 scopus 로고    scopus 로고
    • A nonlinear dynamical perspective on model error: A proposal for non-local stochastic-dynamic parameterization in weather and climate prediction models
    • Palmer, T. N., 2001: A nonlinear dynamical perspective on model error: A proposal for non-local stochastic-dynamic parameterization in weather and climate prediction models. Quart. J. Roy. Meteor. Soc., 127, 279-304.
    • (2001) Quart. J. Roy. Meteor. Soc , vol.127 , pp. 279-304
    • Palmer, T.N.1
  • 39
    • 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
  • 40
    • 0141571533 scopus 로고    scopus 로고
    • Assimilation of simulated Doppler radar observations with an ensemble Kalman filter
    • Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler 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
  • 41
    • 0033825565 scopus 로고    scopus 로고
    • Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems
    • Stensrud, D. J., J.-W. Bao, and T. T. Warner, 2000: Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems. Mon. Wea. Rev., 128, 2077-2107.
    • (2000) Mon. Wea. Rev , vol.128 , pp. 2077-2107
    • Stensrud, D.J.1    Bao, J.-W.2    Warner, T.T.3
  • 42
    • 24144494208 scopus 로고    scopus 로고
    • Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments
    • Tong, M., and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Wea. Rev. , 133, 1789-1807.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1789-1807
    • Tong, M.1    Xue, M.2
  • 43
    • 0001005190 scopus 로고    scopus 로고
    • A comparison study of convective parameterization schemes in a mesoscale model
    • Wang, W., and N. L. Seaman, 1997: A comparison study of convective parameterization schemes in a mesoscale model. Mon. Wea. Rev., 125, 252-278.
    • (1997) Mon. Wea. Rev , vol.125 , pp. 252-278
    • Wang, W.1    Seaman, N.L.2
  • 44
    • 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
  • 45
    • 2442668784 scopus 로고    scopus 로고
    • Reanalysis without radiosondes using ensemble data assimilation
    • Whitaker, J. S., G. P. Compo, X. Wei, and T. M. Hamill, 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 1190-1200
    • Whitaker, J.S.1    Compo, G.P.2    Wei, X.3    Hamill, T.M.4
  • 46
    • 27744561578 scopus 로고    scopus 로고
    • Dynamics and structure of mesoscale error covariance of a winter cyclone estimated through short-range ensemble forecasts
    • Zhang, F., 2005: Dynamics and structure of mesoscale error covariance of a winter cyclone estimated through short-range ensemble forecasts. Mon. Wea. Rev., 133, 2876-2893.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 2876-2893
    • Zhang, F.1
  • 47
    • 0036611617 scopus 로고    scopus 로고
    • Mesoscale predictability of the "surprise" snowstorm of 24-25 January 2000
    • Zhang, F., C. Snyder, and R. Rotunno, 2002: Mesoscale predictability of the "surprise" snowstorm of 24-25 January 2000. Mon. Wea. Rev., 130, 1617-1632.
    • (2002) Mon. Wea. Rev , vol.130 , pp. 1617-1632
    • Zhang, F.1    Snyder, C.2    Rotunno, R.3
  • 48
    • 0038656650 scopus 로고    scopus 로고
    • Effects of moist convection on mesoscale predictability
    • Zhang, F., C. Snyder, and R. Rotunno, 2003: Effects of moist convection on mesoscale predictability. J. Atmos. Sci., 60, 1173-1185.
    • (2003) J. Atmos. Sci , vol.60 , pp. 1173-1185
    • Zhang, F.1    Snyder, C.2    Rotunno, R.3
  • 49
    • 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
  • 50
    • 33645287288 scopus 로고    scopus 로고
    • Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfect model experiments
    • Zhang, F., Z. Meng, and A. Aksoy, 2006a: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfect model experiments. Mon. Wea. Rev., 134, 722-736.
    • (2006) Mon. Wea. Rev , vol.134 , pp. 722-736
    • Zhang, F.1    Meng, Z.2    Aksoy, A.3
  • 51
    • 33646430318 scopus 로고    scopus 로고
    • Mesoscale predictability of an extreme warm-season precipitation event
    • Zhang, F., A. Odins, and J. W. Nielsen-Gammon, 2006b: Mesoscale predictability of an extreme warm-season precipitation event. Wea. Forecasting, 21, 149-166.
    • (2006) Wea. Forecasting , vol.21 , pp. 149-166
    • Zhang, F.1    Odins, A.2    Nielsen-Gammon, J.W.3
  • 52
    • 0037335544 scopus 로고    scopus 로고
    • Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model
    • Zhang, S., and J. L. Anderson, 2003: Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model. Tellus, 55A, 126-147.
    • (2003) Tellus , vol.55 A , pp. 126-147
    • Zhang, S.1    Anderson, J.L.2


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