메뉴 건너뛰기




Volumn 142, Issue 12, 2014, Pages 4499-4518

A probabilistic approach to adaptive covariance localization for serial ensemble square root filters

Author keywords

Data assimilation

Indexed keywords

ADAPTIVE APPROACH; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; ENSEMBLE SQUARE ROOT FILTER; MATHEMATICAL FORMULAS; PROBABILISTIC APPROACHES; SQUARE-ROOT FILTERS; VARIATIONAL APPROACHES;

EID: 84916231777     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-13-00390.1     Document Type: Article
Times cited : (23)

References (29)
  • 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, doi:10.1175/1520-0493(2001)129,2884:AEAKFF.2.0.CO;2.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 84864864640 scopus 로고    scopus 로고
    • Localization and sampling error correction in ensemble Kalman filter data assimilation
    • Anderson, J. L., 2012: Localization and sampling error correction in ensemble Kalman filter data assimilation. Mon. Wea. Rev., 140, 2359-2371, doi:10.1175/MWR-D-11-00013.1.
    • Mon. Wea. Rev. , vol.140 , pp. 2359-2371
    • Anderson, J.L.1
  • 3
    • 84888414100 scopus 로고    scopus 로고
    • Empirical localization of obervation impact in ensemble Kalman filters
    • Anderson, J. L., and L. Lei, 2013: Empirical localization of obervation impact in ensemble Kalman filters. Mon. Wea. Rev., 141, 4140-4153, doi:10.1175/MWR-D-12-00330.1.
    • (2013) Mon. Wea. Rev. , vol.141 , pp. 4140-4153
    • Anderson, J.L.1    Lei, L.2
  • 5
    • 38849152191 scopus 로고    scopus 로고
    • Flow adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation
    • Bishop, C. H., and D. Hodyss, 2007: Flow adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation. Quart. J. Roy. Meteor. Soc., 133, 2029-2044, doi:10.1002/qj.169.
    • (2007) Quart. J. Roy. Meteor. Soc. , vol.133 , pp. 2029-2044
    • Bishop, C.H.1    Hodyss, D.2
  • 6
    • 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, doi:10.1175/1520-0493(2001)129,0420:ASWTET.2.0.CO;2.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 420-436
    • Bishop, C.H.1    Etherton, B.J.2    Majumdar, S.J.3
  • 8
    • 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, doi:10.1175/1520-0493(1993)121,1554: SCOKFS.2.0.CO;2.
    • (1993) Mon. Wea. Rev. , vol.121 , pp. 1554-1565
    • Daley, R.1    Menard, R.2
  • 9
    • 0028193070 scopus 로고
    • Sequential data assimilation with nonlinear quasi-geostrophic model using Monte Carlo methods toforecast error statistics
    • Evensen, G., 1994: Sequential data assimilation with nonlinear quasi-geostrophic model using Monte Carlo methods toforecast error statistics. J. Geophys. Res., 99, 10 143-10 162, doi:10.1029/94JC00572.
    • (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., and S. E. Cohn, 1999: Construction of correlation functions in two and three dimensions. Quart. J. Roy. Meteor. Soc., 125, 723-757, doi:10.1002/qj.49712555417.
    • (1999) Quart. J. Roy. Meteor. Soc. , vol.125 , pp. 723-757
    • Gaspari, G.1    Cohn, S.E.2
  • 11
    • 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, doi:10.1175/1520-0493(2000)128,2905: AHEKFV.2.0.CO;2.
    • (2000) Mon. Wea. Rev. , vol.128 , pp. 2905-2919
    • Hamill, T.M.1    Snyder, C.2
  • 12
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
    • Hamill, T.M., J. S. Whitaker, and C. Snyder, 2001: Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev., 129, 2776-2790, doi:10.1175/1520-0493(2001)129,2776:DDFOBE.2.0.CO;2.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2776-2790
    • Hamill, T.M.1    Whitaker, J.S.2    Snyder, C.3
  • 13
    • 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, doi:10.1175/1520-0493(2001)129,0123: ASEKFF.2.0.CO;2.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 14
    • 80053216896 scopus 로고    scopus 로고
    • A statistical investigation of sensitivity of ensemble-based Kalman filters to covariance filtering
    • Jun, M., I. Szunyogh, M. G. Genton, F. Zhang, and C. H. Bishop, 2011: A statistical investigation of sensitivity of ensemble-based Kalman filters to covariance filtering. Mon. Wea. Rev., 139, 3036-3051, doi:10.1175/2011MWR3577.1.
    • (2011) Mon. Wea. Rev. , vol.139 , pp. 3036-3051
    • Jun, M.1    Szunyogh, I.2    Genton, M.G.3    Zhang, F.4    Bishop, C.H.5
  • 15
    • 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. Fluids Eng., 82D, 35-45, doi:10.1115/1.3662552.
    • (1960) Trans. ASME J. Fluids Eng. , vol.82 D , pp. 35-45
    • Kalman, R.E.1
  • 16
    • 84893859982 scopus 로고    scopus 로고
    • Comparisons of empirical localization techniques for serial ensemble Kalman filters in a simple atmospheric general circulation model
    • Lei, L., and J. Anderson, 2014: Comparisons of empirical localization techniques for serial ensemble Kalman filters in a simple atmospheric general circulation model. Mon. Wea. Rev., 142, 739-754, doi:10.1175/MWR-D-13-00152.1.
    • (2014) Mon. Wea. Rev. , vol.142 , pp. 739-754
    • Lei, L.1    Anderson, J.2
  • 17
    • 0347709927 scopus 로고    scopus 로고
    • The potential of the ensemble Kalman filter for NWP-A comparison with 4D-Var
    • Lorenc, A., 2003: The potential of the ensemble Kalman filter for NWP-A comparison with 4D-Var. Quart. J. Roy. Meteor. Soc., 129, 3183-3203, doi:10.1256/qj.02.132.
    • (2003) Quart. J. Roy. Meteor. Soc. , vol.129 , pp. 3183-3203
    • Lorenc, A.1
  • 18
    • 84927120004 scopus 로고    scopus 로고
    • Predictability-A problem partly solved
    • T. N. Palmer and R. Hagedorn, Eds., Cambridge University Press
    • Lorenz, E. N., 2006: Predictability-A problem partly solved. Predictability of Weather and Climate, T. N. Palmer and R. Hagedorn, Eds., Cambridge University Press, 40-58.
    • (2006) Predictability of Weather and Climate , pp. 40-58
    • Lorenz, E.N.1
  • 20
    • 8844258829 scopus 로고    scopus 로고
    • A local ensemble Kalman filter for atmospheric data assimilation
    • Ott, E., and Coauthors, 2004: A local ensemble Kalman filter for atmospheric data assimilation. Tellus, 56A, 415-428, doi:10.1111/j.1600-0870.2004.00076.x.
    • (2004) Tellus , vol.56 A , pp. 415428
    • Ott, E.1
  • 21
    • 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, doi:10.1175//2555.1.
    • (2003) Mon. Wea. Rev. , vol.131 , pp. 1663-1677
    • Snyder, C.1    Zhang, F.2
  • 23
    • 62749149846 scopus 로고    scopus 로고
    • 2008a: A hybrid ETKF-3DVar data assimilation scheme for the WRF model Part I: Observing system simulation experiment
    • Wang, X., D.M. Barker, C. Snyder, and T.M. Hamill, 2008a: A hybrid ETKF-3DVar data assimilation scheme for the WRF model. Part I: Observing system simulation experiment. Mon. Wea. Rev., 136, 5116-5131, doi:10.1175/2008MWR2444.1.
    • Mon. Wea. Rev. , vol.136 , pp. 5116-5131
    • Wang, X.1    Barker, D.M.2    Snyder, C.3    Hamill, T.M.4
  • 24
    • 64149125046 scopus 로고    scopus 로고
    • 2008b: A hybrid ETKF-3DVar data assimilation scheme for the WRF model Part II: Real observation experiments
    • Wang, X., D.M. Barker, C. Snyder, and T.M. Hamill, 2008b: A hybrid ETKF-3DVar data assimilation scheme for the WRF model. Part II: Real observation experiments. Mon. Wea. Rev., 136, 5132-5147, doi:10.1175/2008MWR2445.1.
    • Mon. Wea. Rev. , vol.136 , pp. 5132-5147
    • Wang, X.1    Barker, D.M.2    Snyder, C.3    Hamill, T.M.4
  • 25
    • 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, doi:10.1175/1520-0493(2002)130,1913: EDAWPO.2.0.CO;2.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 26
    • 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, doi:10.1175/1520-0493(2004)132,1238: IOIEAO.2.0.CO;2.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 1238-1253
    • Zhang, F.1    Snyder, C.2    Sun, J.3
  • 27
    • 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, 2006: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfect model experiments. Mon. Wea. Rev., 134, 722-736, doi:10.1175/MWR3101.1.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 722-736
    • Zhang, F.1    Meng, Z.2    Aksoy, A.3
  • 28
    • 67649373088 scopus 로고    scopus 로고
    • Coupling ensemble Kalman filter with four-dimensional variational data assimilation
    • Zhang, F., M. Zhang, and J. A. Hansen, 2009: Coupling ensemble Kalman filter with four-dimensional variational data assimilation. Adv. Atmos. Sci., 26, 1-8, doi:10.1007/s00376-009-0001-8.
    • (2009) Adv. Atmos. Sci. , vol.26 , pp. 1-8
    • Zhang, F.1    Zhang, M.2    Hansen, J.A.3
  • 29
    • 84875661845 scopus 로고    scopus 로고
    • E3DVar: Coupling an ensemble Kalman filter with three-dimensional variational data assimilation in a limited-area weather prediction model and comparison to E4DVar
    • Zhang, F., M. Zhang, and J. Poterjoy, 2013: E3DVar: Coupling an ensemble Kalman filter with three-dimensional variational data assimilation in a limited-area weather prediction model and comparison to E4DVar. Mon. Wea. Rev., 141, 900-917, doi:10.1175/MWR-D-12-00075.1.
    • (2013) Mon. Wea. Rev. , vol.141 , pp. 900-917
    • Zhang, F.1    Zhang, M.2    Poterjoy, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.