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Volumn 34, Issue 10, 2007, Pages

Error modeling of simulated reflectivity observations for ensemble Kalman filter assimilation of convective storms

Author keywords

[No Author keywords available]

Indexed keywords

ERROR MODEL; ERROR VARIANCES; OBSERVING SYSTEM SIMULATION EXPERIMENTS;

EID: 34447576990     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007GL029945     Document Type: Article
Times cited : (14)

References (13)
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    • Caya, A.1    Sun, J.2    Snyder, C.3
  • 3
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    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
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    • Evensen, G.1
  • 4
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    • 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.
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    • Evensen, G.1
  • 5
    • 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. Weather Rev., 126, 796-811.
    • (1998) Mon. Weather Rev , vol.126 , pp. 796-811
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 8
    • 0031399793 scopus 로고    scopus 로고
    • Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments
    • Sun, J., and N. A. Crook (1997), Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments, J. Atmos. Sci., 54, 1642-1661.
    • (1997) J. Atmos. Sci , vol.54 , pp. 1642-1661
    • Sun, J.1    Crook, N.A.2
  • 9
    • 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. Weather Rev., 133, 1789-1807.
    • (2005) Mon. Weather Rev , vol.133 , pp. 1789-1807
    • Tong, M.1    Xue, M.2
  • 10
    • 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. Weather Rev., 130, 1913-1924.
    • (2002) Mon. Weather Rev , vol.130 , pp. 1913-1924
    • Whitaker, J.S.1    Hamill, T.M.2
  • 11
    • 0034345482 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification
    • Xue, M., K. K. Droegemeier, and V. Wong (2000), The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification, Meteorol. Atmos. Phys., 75, 161-193.
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    • Xue, M.1    Droegemeier, K.K.2    Wong, V.3
  • 12
    • 0035532521 scopus 로고    scopus 로고
    • The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications
    • Xue, M., K. K. Droegemeier, V. Wong, A. Shapiro, K. Brewster, F. Carr, D. Weber, Y. Liu, and D.-H. Wang (2001), The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications, Meteorol. Atmos. Phys., 76, 143-165.
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  • 13
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    • An OSSE framework based on the ensemble square-root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast
    • Xue, M., M. Tong, and K. K. Droegemeier (2006), An OSSE framework based on the ensemble square-root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast, J. Atmos. Oceanic Technol., 23, 46-66.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.