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Data assimilation and predictability

The role of model and initial condition error in numerical weather forecasting investigated with an observing system simulation experiment

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Article: 21740 | Received 14 Jun 2013, Accepted 18 Oct 2013, Published online: 20 Nov 2013

References

  • Buizza R . Horizontal resolution impact on short- and long-range forecast error. Q. J. Roy. Meteorol. Soc. 2010; 136: 1020–1035.
  • Compo G , Whitaker J , Sardeshmukh P , Matsui N , Allan R , co-authors . The twentieth century reanalysis project. Q. J. Roy. Meteorol. Soc. 2011; 137: 1–28.
  • Dalcher A , Kalnay E . Error growth and predictability in operational ECMWF forecasts. Tellus. 1987; 39: 474–491.
  • Daley R , Menard R . Spectral characteristics of Kalman filter systems for atmospheric data assimilation. Mon. Weather Rev. 1993; 121: 1554–1565.
  • Errico R. M . The dynamical balance of singular vectors in a primitive equation model. Q. J. Roy. Meteorol. Soc. 2000; 126A: 1601–1618.
  • Errico R. M , Ehrendorfer M , Raeder K. D . The spectra of singular values in a regional model. Tellus. 2001; 53A: 317–332.
  • Errico R , Privé N . An estimate of some analysis error statistics using the GMAO observing system simulation framework. Q. J. Roy. Meteorol. Soc. 2013
  • Errico R. M , Yang R , Privé N , Tai K.-S , Todling R , co-authors . Validation of version one of the observing system simulation experiments at the global modeling and assimilation office. Q. J. Roy. Meteorol. Soc. 2013; 139: 1162–1178.
  • Eyre J , Hilton F . Sensitivity of analysis error covariance to the mis-specification of background error covariance. Q. J. Roy. Meteorol. Soc. 2013; 139: 524–533.
  • Kleist D , Parrish D , Derber J , Treadon R , Wu W.-S , co-authors . Introduction of the GSI into the NCEP global data assimilation system. Wea. Forecast. 2009; 24: 1691–1705.
  • Leith C . Objective methods for weather prediction. Ann. Rev. Fluid Mech. 1978; 10: 107–128.
  • Lorenz E . Atmospheric predictability experiments with a large numerical model. Tellus. 1982; 34: 505–513.
  • Orrell D , Smith L , Barkmeijer J , Palmer T . Model error in weather forecasting. Nonlinear Processes in Geophys. 2001; 8: 357–371.
  • Privé N , Errico R , Tai K.-S . The influence of observation errors on analysis error and forecast skill investigated with an observing system simulation experiment. J. Geophys. Res. 2013a; 118: 5332–5346.
  • Privé N , Errico R , Tai K.-S . Validation of forecast skill of the Global modeling and Assimilation Office observing system simulation experiment. Q. J. Roy. Meteorol. Soc. 2013b; 139: 1354–1363.
  • Rienecker M , Suarez M , Todling R , Bacmeister J , Takacs L , co-authors . The GEOS-5 Data Assimilation System – Documentation of Versions 5.0.1, 5.1.0 and 5.2.0. 2008; Greenbelt, Maryland, USA, NASA. Technical Report 27.
  • Schubert S , Chang Y . An objective method for inferring sources of model error. Mon. Weather. Rev. 1996; 124: 325–340.
  • Simmons A , Hollingsworth A . Some aspects of the improvement in skill of numerical weather prediction. Q. J. Roy. Meteorol. Soc. 2002; 128: 647–677.
  • Untch A , Simmons A , Hortal M , Jakob C . Increased stratospheric resolution in the ECMWF forecasting system. Proceedings of the SODA Workshop on Chemical Data Assimilation. 1999; The Netherlands: De Bilt. 45–52. KNMI.