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Data assimilation and predictability

Sensitivity of regional ensemble data assimilation spread to perturbations of lateral boundary conditions

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Article: 28502 | Received 12 May 2015, Accepted 02 Nov 2015, Published online: 15 Dec 2015

References

  • Anthes R. A . Chapter 27: The general question of predictability. In: Mesoscale Meteorology and Forecasting . 1986; 636–656. (ed. P. S. Ray). The American Meteorological Society, Boston.
  • Anthes R. A. , Kuo Y.-H. , Baumhefner D. P. , Errico R. M. , Betgge T. W . Predictability of mesoscale atmospheric motions. Adv. Geophys. 1985; 28: 159–202.
  • Berre L. , Desroziers G . Filtering of background error variances and correlations by local spatial averaging. Mon. Weather Rev. 2010; 138: 3693–3720.
  • Berre L. , Desroziers G. , Raynaud L. , Montroty R. , Gibier F . Consistent operational ensemble variational assimilation. 2009. Proceedings of the Fifth WMO International Symposium on Data Assimilation, Melbourne, Australia, 5–9 October 2009, Paper N.196.
  • Berre L. , Pannekoucke O. , Desroziers G. , Stefanescu S. E. , Chapnik B. , co-authors . A variational assimilation ensemble and the spatial filtering of its error covariances: increase of sample size by local spatial averaging. Proceedings of the ECMWF Workshop on Flow-Dependent Aspects of Data Assimilation. 2007; 151–168. 11–13 June 2007.
  • Berre L. , Stefanescu S. E. , Belo Pereira M . The representation of the analysis effect in three error simulation techniques. Tellus A. 2006; 58: 196–209.
  • Bubnova R. , Hello G. , Bnard P. , Geleyn J.-F . Integration of the fully-elastic equations cast in the hydrostatic pressure terrain-following coordinate in the framework of the ARPEGE/ALADIN NWP system. Mon. Weather Rev. 1995; 123: 515–535.
  • Caron J.-F . Mismatching perturbations at the lateral boundaries in limited-area ensemble forecasting: a case study. Mon. Weather Rev. 2013; 141(1): 356–374.
  • Cordoneanu E. , Geleyn J. F . Application to local circulations above the Carpathian-Black Sea area of a NWP-type meso-scale model. Contr. Atmos. Phys. 1998; 71: 191–212.
  • Daley R . Atmospheric Data Analysis.
  • Davies H. C . A lateral boundary formulation for multilevel prediction models. Q. J. Roy. Meteorol. Soc. 1976; 405–418.
  • Davies H. C . Limitations of some common lateral boundary schemes used in regional NWP models. Mon. Weather Rev. 1983; 111: 1002–1012.
  • Davies H. C. , Turner R. E . Updating prediction models by dynamical relaxation: an examination of the technique. Q. J. Roy. Meteorol. Soc. 1977; 103: 225–245.
  • Du J. , Tracton M. S . Ritchie H . Impact of lateral boundary conditions on regional-model ensemble prediction. Research Activities in Atmospheric and Oceanic Modeling. 1999; 6.7–6.8. Report 28, CAS/JSC Working Group Numerical Experimentation (WGNE), WMO/TD-No. 942, Rep. 28.
  • El Ouaraini R. , Berre L . Sensitivity of ensemble-based variances to initial background perturbations. J. Geophys. Res. 2011; 116 D15106. DOI: http://dx.doi.org/10.1029/2010JD015075.
  • Fischer C. , Auger L . Some experimental lessons on digital filtering in the ALADIN-France 3DVAR based on near-ground examination. Mon. Weather Rev. 2011; 139: 774–785.
  • Fischer C. , Montmerle T. , Berre L. , Auger L. , Stefanescu S . An overview of the variational assimilation in the ALADIN/FRANCE NWP system. Q. J. Roy. Meteorol. Soc. 2005; 131: 3477–3492.
  • Fisher M . Background error covariance modelling. Seminar on Recent Developments in Data Assimilation for Atmosphere and Ocean. 2003; 45–64. Shinfield Park, Reading, UK, 8–12 September 2003.
  • Gebhardt C. , Theis S. E. , Paulat M. , Ben Bouallègue Z . Uncertainties in COSMO-DE precipitation forecasts introduced by model perturbations and variation of lateral boundaries. Atmos. Res. 2011; 100: 168–177.
  • Horanyi A. , Ihasz I. , Radnoti G . ARPEGE/ALADIN: a numerical weather prediction model for Central-Europe with the participation of the Hungarian Meteorological Service. Idojaras. 1996; 100: 277–301.
  • Hou D. , Kalnay E. , Droegemeier K. K . Objective verification of the SAMEX ‘98 ensemble forecasts. Mon. Weather Rev. 2001; 129: 73–91.
  • Houtekamer P. L. , Lefaivre L. , Derome J. , Ritchie H. , Mitchell H. L . A system simulation approach to ensemble prediction. Mon. Weather Rev. 1996; 124: 1225–1242.
  • Monteiro M. , Berre L . A diagnostic study of time variations of regionally averaged background error covariances. J. Geophys. Res. 2010; 115 D23203. DOI: http://dx.doi.org/10.1029/2010JD014095.
  • Raynaud L. , Berre L. , Desroziers G . Spatial averaging of ensemble-based background error variances. Q. J. Roy. Meteorol. Soc. 2008; 134: 1003–1014.
  • Raynaud L. , Berre L. , Desroziers G . Accounting for model error in the Meteo-France ensemble data assimilation system. Q. J. Roy. Meteorol. Soc. 2012; 138: 249–262.
  • Saito K. , Seko H. , Kunii M. , Miyoshi T . Effect of lateral boundary perturbations on the breeding method and the local ensemble transform Kalman filter for mesoscale ensemble prediction. Tellus A. 2012; 64 11594. DOI: http://dx.doi.org/10.3402/tellusa.v64i0.11594.
  • Storto A. , Randriamampianina R . Ensemble variational assimilation for the representation of background error covariances in a high-latitude regional model. J. Geophys. Res. 2010; 115 D17204. DOI: http://dx.doi.org/10.1029/2009JD013111.
  • Torn R. D. , Hakim G. J. , Snyder C . Boundary conditions for limited-area ensemble Kalman filters. Mon. Weather Rev. 2006; 134: 2490–2502.
  • Vukicevic T. , Errico R. M . The influence of artificial and physical factors upon predictability estimates using a complex limited area model. Mon. Weather Rev. 1990; 118: 1460–1482.
  • Zhang F. , Meng Z. , Aksoy A . Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: perfect model experiments. Mon. Weather Rev. 2006; 134: 722–736.