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Volumn 61, Issue 4, 2009, Pages 539-549

Data assimilation in a system with two scales - Combining two initialization techniques

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE; CHAOTIC DYNAMICS; CLIMATE PREDICTION; CORRELATION; COVARIANCE ANALYSIS; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; NONLINEARITY; NUMERICAL MODEL; WEATHER FORECASTING;

EID: 67651037262     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2009.00400.x     Document Type: Article
Times cited : (23)

References (18)
  • 1
    • 0035655814 scopus 로고    scopus 로고
    • An ensemble adjustment filter for data assimilation
    • Anderson, J. L. 2001. An ensemble adjustment filter for data assimilation. Mon. Wea. Rev. 129, 2884-2903.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2884-2903
    • Anderson, J.L.1
  • 2
    • 0016047894 scopus 로고
    • Data Assimilation and initialization of hurricane prediction models
    • Anthes, R. A. 1974. Data Assimilation and initialization of hurricane prediction models. J. Atmos. Sci. 31, 702-719.
    • (1974) J. Atmos. Sci. , vol.31 , pp. 702-719
    • Anthes, R.A.1
  • 3
    • 0035067305 scopus 로고    scopus 로고
    • Dynamical evolution of the error statistics with the SEEK filter to assimilate altimetric data in eddy-resolving ocean models
    • Ballabrera-Poy, J., Brasseur, P. and Verron, J. 2001. Dynamical evolution of the error statistics with the SEEK filter to assimilate altimetric data in eddy-resolving ocean models. Q. J. R. Meteorol. Soc. 127, 233-253.
    • (2001) Q. J. R. Meteorol. Soc. , vol.127 , pp. 233-253
    • Ballabrera-Poy, J.1    Brasseur, P.2    Verron, J.3
  • 4
    • 0030424167 scopus 로고    scopus 로고
    • Mapping tropical Pacific sea level: Data assimilation via a reduced state space Kalman filter
    • and co-authors
    • Cane, M. A., Kaplan, A., Miller, R. N., Tang, B., Hackert, E. C. and co-authors. 1996. Mapping tropical Pacific sea level: Data assimilation via a reduced state space Kalman filter. J. Geophys. Res. 101, 22 599-22 617.
    • (1996) J. Geophys. Res. , vol.101
    • Cane, M.A.1    Kaplan, A.2    Miller, R.N.3    Tang, B.4    Hackert, E.C.5
  • 5
    • 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., Kalnay, E. and Yang, S.-C. 2007. An implementation of the Local Ensemble Kalman Filter in a quasi geostrophic model and comparison with 3D-Var. Nonlin. Proc. Geophys. 14, 89-101.
    • (2007) Nonlin. Proc. Geophys. , vol.14 , pp. 89-101
    • Corazza, M.1    Kalnay, E.2    Yang, S.-C.3
  • 6
    • 34848920881 scopus 로고    scopus 로고
    • On some aspects of the definition of initial conditions for ensemble prediction
    • Deschamps, L. and Talagrand, O. 2007. On some aspects of the definition of initial conditions for ensemble prediction. Mon. Wea. Rev. 135, 3260-3272.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 3260-3272
    • Deschamps, L.1    Talagrand, O.2
  • 7
    • 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
  • 8
    • 34248675795 scopus 로고    scopus 로고
    • Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
    • Hunt, B. R., Kostelich, E. J. and 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
  • 9
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman, R. E. and Bucy, R. S. 1960. A new approach to linear filtering and prediction problems. J. Basic Eng. (ASME) 82D, 35-45.
    • (1960) J. Basic Eng. (ASME) , vol.82 D , pp. 35-45
    • Kalman, R.E.1    Bucy, R.S.2
  • 12
    • 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. Q. J. R. Meteorol. Soc. 129, 3183-3203.
    • (2003) Q. J. R. Meteorol. Soc. , vol.129 , pp. 3183-3203
    • Lorenc, A.C.1
  • 13
    • 0032004313 scopus 로고    scopus 로고
    • Optimal sites for supplementary weather observations: Simulations with a small model
    • Lorenz, E. N. and Emanuel, K. A. 1998. Optimal sites for supplementary weather observations: Simulations with a small model. J. Atmos. Sci. 55, 399-414.
    • (1998) J. Atmos. Sci. , vol.55 , pp. 399-414
    • Lorenz, E.N.1    Emanuel, K.A.2
  • 14
    • 0034826901 scopus 로고    scopus 로고
    • A conceptual framework for time and space scale interactions in the climate system
    • and co-authors
    • Meehl, G. A., Lukas, R., Kiladis, G. N., Weickmann, K. M., Matthews, A. J. and co-authors. 2001. A conceptual framework for time and space scale interactions in the climate system. Clim. Dyn. 17, 753-775.
    • (2001) Clim. Dyn. , vol.17 , pp. 753-775
    • Meehl, G.A.1    Lukas, R.2    Kiladis, G.N.3    Weickmann, K.M.4    Matthews, A.J.5
  • 15
    • 0001485914 scopus 로고
    • A Kalman Filter analysis of sea level height in the tropical Pacific
    • Miller, R.N. and Cane, M. A 1989. A Kalman Filter analysis of sea level height in the tropical Pacific. J. Phys. Oceanogr. 19, 773-790.
    • (1989) J. Phys. Oceanogr. , vol.19 , pp. 773-790
    • Miller, R.N.1    Cane, M.A.2
  • 16
    • 8844258829 scopus 로고    scopus 로고
    • A local ensemble Kalman filter for atmospheric data assimilation
    • and co-authors
    • Ott, E., Hunt, B. R., Szunyogh, I., Zimin, A. V., Kostelich, E. J. and co-authors. 2004. A local ensemble Kalman filter for atmospheric data assimilation. Tellus 56A, 415-428.
    • (2004) Tellus , vol.56 A , pp. 415-428
    • Ott, E.1    Hunt, B.R.2    Szunyogh, I.3    Zimin, A.V.4    Kostelich, E.J.5
  • 17
    • 33645633207 scopus 로고    scopus 로고
    • The NCEP Climate Forecast System
    • and co-authors
    • Saha, S., Nadiga, S., Thiaw, C., Wang, J., Wang, W. and co-authors. 2006. The NCEP Climate Forecast System. J. Clim. 19, 3483-3517.
    • (2006) J. Clim. , vol.19 , pp. 3483-3517
    • Saha, S.1    Nadiga, S.2    Thiaw, C.3    Wang, J.4    Wang, W.5
  • 18
    • 0036646009 scopus 로고    scopus 로고
    • Ensemble data assimilation without perturbed observations
    • Whitaker, J. S. and Hamill, T. M. 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.