Accounting for model error due to unresolved scales within ensemble Kalman filtering

Preprint English OPEN
Mitchell, Lewis; Carrassi, Alberto;
(2014)
  • Subject: Nonlinear Sciences - Chaotic Dynamics | Physics - Atmospheric and Oceanic Physics | Physics - Data Analysis, Statistics and Probability

We propose a method to account for model error due to unresolved scales in the context of the ensemble transform Kalman filter (ETKF). The approach extends to this class of algorithms the deterministic model error formulation recently explored for variational schemes an... View more
  • References (47)
    47 references, page 1 of 5

    Carrassi A, Vannitsem S. 2010. Accounting for model error in variational data assimilation: A deterministic formulation. Monthly Weather Review 138: 3369-3386, doi:10.1175/2010MWR3192.1.

    Carrassi A, Vannitsem S. 2011. Treatment of the error due to unresolved scales in sequential data assimilation. International Journal of Bifurcation and Chaos 21(12): 3619-3626, doi:10.1142/S0218127411030775.

    Carrassi A, Vannitsem S, Zupanski D, Zupanski M. 2009. The maximum likelihood ensemble filter performances in chaotic systems. Tellus 61: 587- 600.

    Charron M, Pellerin G, Spacek L, Houtekamer PL, Gagnon N, Mitchell HL, Michelin L. 2010. Toward random sampling of model error in the Canadian ensemble prediction system. Monthly Weather Review 138(5): 1877-1901, doi:10.1175/2009MWR3187.1.

    Cullen MJP. 2010a. A demonstration of 4D-Var using a time-distributed background term. Quarterly Journal of the Royal Meteorological Society 136: 1301-1315, doi:10.1002/qj.645.

    Cullen MJP. 2010b. A demonstration of cycled 4D-Var in the presence of model error. Quarterly Journal of the Royal Meteorological Society 136: 1379-1395, doi:10.1002/qj.653.

    Daley R. 1992. The lagged innovation covariance: A performance diagnostic for atmospheric data assimilation. Monthly Weather Review 120(1): 178- 196.

    Dee D, Da Silva A. 1998. Data assimilation in the presence of forecast bias. Quarterly Journal of the Royal Meteorological Society 117: 269-295.

    Dee D, Todling R. 2000. Data assimilation in the presence of forecast bias: the GEOS moisture analysis. Monthly Weather Review 128(9): 3268-3282.

    Dee D, Uppala S, AJ S, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda M, Balsamo G, Bauer P, Bechtold P, Beljaars A, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer A, Haimberger L, Healy S, Hersbach H, Holm E, Isaksen L, Kallberg P, Kohler M, Matricardi M, McNally A, Monge-Sanz B, Morcrette J, Park B, Peubey C, de Rosnay P, Tavolato C, JN T, Vitart F. 2011. The ERA-interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society 137: 553-597.

  • Related Organizations (4)
  • Metrics
Share - Bookmark