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Volumn 3, Issue , 2007, Pages 37-40

Assimilating satellite radiances with a local ensemble transform Kalman filter (LETKF) applied to the JMA global model (GSM)

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Indexed keywords


EID: 34247101014     PISSN: 13496476     EISSN: 13496476     Source Type: Journal    
DOI: 10.2151/sola.2007-010     Document Type: Article
Times cited : (46)

References (14)
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    • Anderson, J.L.1
  • 4
    • 0032024819 scopus 로고    scopus 로고
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    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 5
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    • 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.
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    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 8
    • 34247112046 scopus 로고    scopus 로고
    • Hunt, B. R., 2005: Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. arXiv: physics/0511236v1, 25pp.
    • Hunt, B. R., 2005: Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. arXiv: physics/0511236v1, 25pp.
  • 9
    • 34247110575 scopus 로고    scopus 로고
    • Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution
    • in press
    • Miyoshi, T., and S. Yamane, 2007: Local ensemble transform Kalman filtering with an AGCM at a T159/L48 resolution. Mon. Wea. Rev., (in press).
    • (2007) Mon. Wea. Rev
    • Miyoshi, T.1    Yamane, S.2
  • 10
    • 33645809874 scopus 로고    scopus 로고
    • NWP SAF, Met Office
    • Saunders, R., 2004: RTTOV-8 Users' Guide, NWP SAF, Met Office, http://www.metoffice.com/research/interproj/nwpsaf/rtm/index.html.
    • (2004) RTTOV-8 Users' Guide
    • Saunders, R.1
  • 12
    • 27744434698 scopus 로고    scopus 로고
    • Assesing a local ensemble Kalman filter: Perfect model experiments with the National Centers for Environmental Prediction global model
    • Szunyogh, I., E. J. Kostelich, G. Gyarmati, D. J. Patil, B. R. Hunt, E. Kalnay, E. Ott, and J. A. Yorke, 2005: Assesing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model. Tellus, 57A, 528-545.
    • (2005) Tellus , vol.57 A , pp. 528-545
    • Szunyogh, I.1    Kostelich, E.J.2    Gyarmati, G.3    Patil, D.J.4    Hunt, B.R.5    Kalnay, E.6    Ott, E.7    Yorke, J.A.8
  • 13
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    • Ensemble data assimilation without perturbed observations
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    • Whitaker, J.S.1    Hamill, T.M.2
  • 14
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    • Ensemble data assimilation with the NCEP global forecast system
    • submitted
    • Whitaker, J. S., T. M. Hamill, X. Wei, Y. Song, and Z. Toth, 2006: Ensemble data assimilation with the NCEP global forecast system. Mon. Wea. Rev., (submitted).
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    • Whitaker, J.S.1    Hamill, T.M.2    Wei, X.3    Song, Y.4    Toth, Z.5


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