메뉴 건너뛰기




Volumn 134, Issue 636, 2008, Pages 1733-1744

The ensemble Kalman filter in an operational regional NWP system: Preliminary results with real observations

Author keywords

Adaptive parameter estimation; Ensemble data assimilation; Operational NWP

Indexed keywords

CONTROL THEORY; KALMAN FILTERS; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; THREE DIMENSIONAL; VALUE ENGINEERING;

EID: 57349184316     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1002/qj.313     Document Type: Article
Times cited : (24)

References (30)
  • 1
    • 34247642674 scopus 로고    scopus 로고
    • An adaptive covariance inflation error correction algorithm for ensemble filters
    • Anderson JL. 2007. An adaptive covariance inflation error correction algorithm for ensemble filters. Tellus 59A: 210-224.
    • (2007) Tellus , vol.59 A , pp. 210-224
    • Anderson, J.L.1
  • 2
    • 57349170411 scopus 로고    scopus 로고
    • Spatially- and temporally-varying adaptive covariance inflation for ensemble filters
    • Submitted to
    • Anderson JL. 2008. Spatially- and temporally-varying adaptive covariance inflation for ensemble filters. Submitted to Tellus.
    • (2008) Tellus
    • Anderson, J.L.1
  • 3
    • 0033500692 scopus 로고    scopus 로고
    • A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts
    • Anderson JL. Anderson SL. 1999. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon. Weather Rev. 127: 2741-2758.
    • (1999) Mon. Weather 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, Hunt BR, Kalnay E, Ott E, Szunyogh I. 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
    • 15444379610 scopus 로고    scopus 로고
    • Impact of a variational objective analysis scheme on a regional area numerical model: The Italian Air Force Weather Service experience
    • Bonavita M, Torrisi L. 2005. Impact of a variational objective analysis scheme on a regional area numerical model: The Italian Air Force Weather Service experience. Meteorol. Atmos. Phys. 88: 39-52.
    • (2005) Meteorol. Atmos. Phys , vol.88 , pp. 39-52
    • Bonavita, M.1    Torrisi, L.2
  • 6
    • 0033403384 scopus 로고    scopus 로고
    • Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System
    • Buizza R, Miller M, Palmer TN. 1999. Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System. Q. J. R. Meteorol. Soc. 125: 2887-2908.
    • (1999) Q. J. R. Meteorol. Soc , vol.125 , pp. 2887-2908
    • Buizza, R.1    Miller, M.2    Palmer, T.N.3
  • 8
    • 33847379878 scopus 로고    scopus 로고
    • Estimating and correcting global weather model error
    • Danforth CM, Kalnay E, Miyoshi T. 2007. Estimating and correcting global weather model error. Mon. Weather Rev. 135: 281-299.
    • (2007) Mon. Weather Rev , vol.135 , pp. 281-299
    • Danforth, C.M.1    Kalnay, E.2    Miyoshi, T.3
  • 9
    • 0000991256 scopus 로고
    • On-line estimation of error covariance parameters for atmospheric data assimilation
    • Dee DP. 1995. On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Weather Rev. 123: 1128-1145.
    • (1995) Mon. Weather Rev , vol.123 , pp. 1128-1145
    • Dee, D.P.1
  • 10
    • 69749084907 scopus 로고    scopus 로고
    • Diagnosis of observation, background and analysis-error statistics in observation space
    • Desroziers G, Berre L, Chapnik B, Poli P. 2005. Diagnosis of observation, background and analysis-error statistics in observation space. Q. J. R. Meteorol. Soc. 131: 3385-3396.
    • (2005) Q. J. R. Meteorol. Soc , vol.131 , pp. 3385-3396
    • Desroziers, G.1    Berre, L.2    Chapnik, B.3    Poli, P.4
  • 11
    • 34248366116 scopus 로고    scopus 로고
    • A data assimilation case study using a limited-area ensemble Kalman filter
    • Dirren S, Torn RD, Hakim GJ. 2007. A data assimilation case study using a limited-area ensemble Kalman filter. Mon. Weather Rev. 135: 1455-1473.
    • (2007) Mon. Weather Rev , vol.135 , pp. 1455-1473
    • Dirren, S.1    Torn, R.D.2    Hakim, G.J.3
  • 12
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen G. 1994. Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99(C5): 10143-10162.
    • (1994) J. Geophys. Res , vol.99 , Issue.C5 , pp. 10143-10162
    • Evensen, G.1
  • 13
    • 0035506430 scopus 로고    scopus 로고
    • Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
    • Hamill TM, Whitaker JS, Snyder C. 2001. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Weather Rev. 129: 2776-2790.
    • (2001) Mon. Weather Rev , vol.129 , pp. 2776-2790
    • Hamill, T.M.1    Whitaker, J.S.2    Snyder, C.3
  • 17
    • 34248675795 scopus 로고    scopus 로고
    • Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
    • Hunt BR, Kostelich EJ, Szunyogh I. 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.J.2    Szunyogh, I.3
  • 18
    • 57349151777 scopus 로고    scopus 로고
    • Simultaneous estimation of covariance inflation and observation errors within ensemble Kalman filter
    • Submitted to
    • Li H, Kalnay E, Miyoshi T. 2007. Simultaneous estimation of covariance inflation and observation errors within ensemble Kalman filter. Submitted to Q. J. R. Meteorol. Soc.
    • (2007) Q. J. R. Meteorol. Soc
    • Li, H.1    Kalnay, E.2    Miyoshi, T.3
  • 20
    • 57349114853 scopus 로고    scopus 로고
    • Available at
    • Majewski D. 2008. 'HRM User's Guide.' Available at http://www.met.gov.om/ hrm/index.html.
    • (2008) HRM User's Guide
    • Majewski, D.1
  • 21
    • 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, Zhang F. 2007. Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect model experiments. Mon. Weather Rev. 135: 1403-1423.
    • (2007) Mon. Weather Rev , vol.135 , pp. 1403-1423
    • Meng, Z.1    Zhang, F.2
  • 23
    • 34247110575 scopus 로고    scopus 로고
    • Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution
    • Miyoshi T, Yamane S. 2007. Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. Mon. Weather Rev. 135: 3841-3861.
    • (2007) Mon. Weather Rev , vol.135 , pp. 3841-3861
    • Miyoshi, T.1    Yamane, S.2
  • 24
    • 0027040023 scopus 로고
    • The National Meteorological Center's spectral statistical-interpolation analysis system
    • Parrish DF, Derber JC. 1992. The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Weather Rev. 120: 1747-1763.
    • (1992) Mon. Weather Rev , vol.120 , pp. 1747-1763
    • Parrish, D.F.1    Derber, J.C.2
  • 26
    • 0037980372 scopus 로고    scopus 로고
    • A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes
    • Wang X, Bishop CH. 2003. A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci. 60: 1140-1158.
    • (2003) J. Atmos. Sci , vol.60 , pp. 1140-1158
    • Wang, X.1    Bishop, C.H.2
  • 27
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker JS, Hamill TM. 2002. Ensemble data assimilation without perturbed observations. Mon. Weather Rev. 130: 1913-1924.
    • (2002) Mon. Weather Rev , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 28
    • 44449095043 scopus 로고    scopus 로고
    • Ensemble data assimilation with the NCEP Global Forecast System
    • Whitaker JS, Hamill TM, Wei X, Song Y, Toth Z. 2008. Ensemble data assimilation with the NCEP Global Forecast System. Mon. Weather Rev. 136: 463-482.
    • (2008) Mon. Weather Rev , vol.136 , pp. 463-482
    • Whitaker, J.S.1    Hamill, T.M.2    Wei, X.3    Song, Y.4    Toth, Z.5
  • 29
    • 2442717392 scopus 로고    scopus 로고
    • Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter
    • Zhang F, Snyder C, Sun J. 2004. Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Weather Rev. 132: 1238-1253.
    • (2004) Mon. Weather Rev , vol.132 , pp. 1238-1253
    • Zhang, F.1    Snyder, C.2    Sun, J.3
  • 30
    • 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, Meng Z, Aksoy A. 2006. Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: Perfect model experiments. Mon. Weather Rev. 134: 722-736.
    • (2006) Mon. Weather Rev , vol.134 , pp. 722-736
    • Zhang, F.1    Meng, Z.2    Aksoy, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.