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Original Research Papers

Ensemble prediction of blocking regime transitions

Authors:

Jorgen S. Frederiksen ,

CSIRO Atmospheric Research, PMB 1, Aspendale, Victoria 3195, AU
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Mark A. Collier,

CSIRO Atmospheric Research, PMB 1, Aspendale, Victoria 3195, AU
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Andrew B. Watkins

National Climate Centre, Australian Bureau of Meteorology, AU
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Abstract

The skill of ensemble prediction during blocking regime transitions is examined for Northern Hemisphere flows within two atmospheric models. An ensemble prediction scheme based on fast growing perturbations has been implemented for conformal-cubic and spectral general circulation models. The methodology uses a breeding method, based on an implicit linearization of the models, in which perturbations likened to leading Lyapunov vectors are obtained and used to perturb the initial conditions. Detailed comparisons of the skill of ensemble mean forecasts with control forecasts have been carried out for Northern Hemisphere initial conditions in October and November 1979. A particular focus has been the variability of forecast skill during the development, maturation and decay of the large-scale blocking dipoles that occurred in the major blocking regions over Europe, over the Gulf of Alaska, over the North Atlantic and as well over North America. On average, the ensemble mean forecast performs better than the control forecast for forecast times longer than three or four days. Average error growth curves in the two models are quite similar with the conformal-cubic model ensemble generally performing slightly better than for the lower-resolution spectral model. Both ensemble and control forecasts initiated twice daily exhibit considerable variability in forecast skill that is shown to be related to instability regimes of particular synoptic events. At a given forecast lead time, errors tend to be larger for forecasts validating when blocks are developing or decaying and smaller for mature blocks. The spread of ensemble member forecasts has been studied and related to likely forecast skill. Comparison of results from the conformal-cubic and spectral models initialized with two different analysis data sets has allowed the determination of the robustness of our findings relating error growth to instability regimes.

How to Cite: Frederiksen, J.S., Collier, M.A. and Watkins, A.B., 2004. Ensemble prediction of blocking regime transitions. Tellus A: Dynamic Meteorology and Oceanography, 56(5), pp.485–500. DOI: http://doi.org/10.3402/tellusa.v56i5.14460
  Published on 01 Jan 2004
 Accepted on 7 Apr 2004            Submitted on 22 Oct 2003

References

  1. Anderson , J. L. 1993 . The climatology of blocking in a numerical forecast model . J. Climate 6 , 1041 – 1056 .  

  2. Anderson , J. L. 1996 . Selection of initial conditions for ensemble fore-casts in a simple perfect model framework. J. Atmos. Sc i . 53 , 22 – 36 .  

  3. Bengtsson , L. 1981 . Numerical prediction of atmospheric blocking: a case study . Tellus 33 , 19 – 24 .  

  4. Bontemps , B. and Källén , E. 1999 . Singular vectors and breeding modes: a comparitive study. Dynamic Meteorology Report No. 81, Department of Meteorology, Stockholm University, 38 pp.  

  5. Borges , M. D. and Hartmann , D. L. 1992 . Barotropic instability and optimal perturbations of observed nonzonal flows. J. Atmos. Sc i . 49 , 335 – 354 .  

  6. Colucci , S. J. and Baumhefner , D. P. 1992 . Initial weather regimes as predictors of numerical 30-day mean forecast accuracy. J. Atmos. Sc i . 49 , 1652 – 1671 .  

  7. Dole , R. M. and Gordon , N. D. 1983 . Persistent anomalies of the extra-tropical Northern Hemisphere wintertime circulation. Geographical distribution and regional persistence characteristics. Mon. Wea. Re v . 111 , 1567 – 1586 .  

  8. de Pondeca , M. S. F. A. , Barcilon , A. and Zou , X. 1998a . An adjoint sensitivity study of the efficacy of modal and nonmodal perturbations in causing model block onset. J. Atmos. Sc i . 55 , 2095 – 2118 .  

  9. de Pondeca , M. S. F. A. , Barcilon , A. and Zou , X. 1998b . The role of wave breaking, linear instability, and PV transports in model block onset. J. Atmos. Sc i . 55 , 2852 – 2873 .  

  10. Frederiksen , J. S. 1978 . Instability of planetary waves and zonal flows in two-layer models on a sphere . Q. J. R. Meteorol. Soc . 104 , 841 – 872 .  

  11. Frederiksen , J. S. 1982 . A unified three-dimensional instability theory of the onset of blocking and cyclogensis. J. Atmos. Sc i . 39 , 969 – 982 .  

  12. Frederiksen , J. S. 1983 . A unified three-dimensional instability theory of the onset of blocking and cyclogenesis. II Teleconnection Patterns. J. Atmos. Sc i . 40 , 2593 – 2609 .  

  13. Frederiksen , J. S. 1997 . Adjoint sensitivity and finite-time normal mode disturbances during blocking. J. Atmos. Sc i . 54 , 1144 – 1165 .  

  14. Frederiksen , J. S. 1998 . Precursors to blocking anomalies: the tangent linear and inverse problems. J. Atmos. Sc i . 55 2419 – 2436 .  

  15. Frederiksen , J. S. 1999 . Subgrid-scale parametrizations of eddy-topographic force, eddy viscosity and stochastic backscatter for flow over topography. J. Atmos. Sc i . 56 , 1481 – 1494 .  

  16. Frederiksen , J. S. 2000 . Singular vectors, finite-time normal modes and error growth during blocking. J. Atmos. Sc i . 57 , 312 – 333 .  

  17. Frederiksen , J. S. and Bell , R. C. 1990 . North Atlantic blocking during January 1979: linear theory . Q. J. R. Meteorol. Soc . 116 , 1289 – 1313 .  

  18. Frederiksen , J. S. , Dix , M. R. and Kepert , S. 1996 . Systematic energy errors and the tendency toward canonical equilibrium in atmospheric circulation models. J. Atmos. Sc i . 53 , 887 – 904 .  

  19. Hamil , T. M. , Snyder , C. and Morss , R. E. 2000 . A comparision of probabilistic forecasts from bred, singular-vector, and perturbed observation ensembles. Mon. Wea. Re v . 128 , 1835 – 1851 .  

  20. Hart , T. L. , Bourke , W. , McAvaney , B. J. , Forgan , W. and McGregor , J. L. 1990 . Atmospheric general circulation simulations with the BMRC global spectral model: the impact of revised physical parametrizations . J. Climate 3 , 436 – 459 .  

  21. Houtelcamer , P. L. and Derome , J. 1995 . Methods of ensemble prediction. Mon. Wea. Re v . 123 , 2181 – 2196 .  

  22. Houtelcamer , P. L. , Lefaivre , L. , Derome , J. Ritchie , H. and Mitchell , H. L. 1996 . A system simulation approach to ensemble prediction. Mon. Wea. Rev . 124 , 124 – 1242 .  

  23. Kalnay , E. 2003 . Atmospheric Modeling, Data Assimilation and Predictability . Cambridge University Press , Cambridge , 341 pp.  

  24. Kimoto , M. , Mukougawa , H. and Yoden , S. 1992 . Medium-range fore-cast skill variation and blocking transition: a case study. Mon. Wea. Re v . 120 1616 – 1627 .  

  25. Leith , C. E. 1974 . Theoretical skill of Monte Carlo forecasts. Mon. Wea. Re v . 102 , 409 – 418 .  

  26. Lejenas , H. and Okland , H. 1983 . Characteristics of Northern Hemisphere blocking as determined from a long time series of observational data . Tellus 35A , 350 – 362 .  

  27. Li , Z. , Barcilon , A. and Navon , I. M. 1999 . Study of block onset using sensitivity perturbations in climatological flows. Mon. Wea. Re v . 127 , 879 – 900 .  

  28. Lupo , A. R. 1997 . A diagnosis of two blocking events that occurred simultaneously over the mid-latitude Northern Hemisphere. Mon. Wea. Re v . 125 , 1801 – 1823 .  

  29. Lupo , A. R. and Smith , P. J. 1995a . Climatological features of blocking anticyclones in the Northern Hemisphere . Tellus 47A , 439 – 456 .  

  30. Lupo , A. R. and Smith , P. J. 1995b . Planetary and synoptic-scale interactions during the lifecyle of a mid-latitude blocking anticyclone over the North Atlantic . Tellus 47A , 575 – 596 .  

  31. McGregor , J. L. and Dix , M. R. 2001 . The CSIRO conformal-cubic atmospheric GCM. In: IUTAM symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics, 298 pp (ed.P. F. Hodnett). Kluwer Academic, Dordrecht, 197 - 202 .  

  32. Molteni , F. , Buizza , R. Palmer , T. and Petroliagis , T. 1996 . The ECMWF ensemble prediction system: methodology and validation. Q. J. R. Meteorol. Soc . 122 , 122 – 119 .  

  33. Noar , P. F. 1983 . Numerical modelling of blocking with reference to June 1982 . Aust. Meteorol. Mag . 31 , 37 – 49 .  

  34. Noone , D. and Simmonds , I. 1998 . Similarity of last-growing perturbations’ and an illustrative experiment with ensemble forecasting . Aust. Meteorol. Mag . 47 , 5 – 19 .  

  35. O’Kane , T. J. and Frederilcsen , J. S. 2004. The QDI A and regularized QDIA closures for inhomogeneous turbulence over topography. J. Fluid Mech . 504 , 504 – 165 .  

  36. Palmer , T. N. , Gelaro , R. , Barkmeijer , J. and Buizza , R. 1998 . Singular vectors, metrics, and adaptive observations. J. Atmos. Sc i . 55 , 633 – 653 .  

  37. Reynolds , C. A. , Webster , P. J. and Kalnay , E. 1994 . Random error growth in NMC’s global forecasts. Mon. Wea. Re v . 122 , 1281 – 1305 .  

  38. Simmons , A. J. , Wallace , J. M. and Branstator , G. W. 1983 . Barotropic wave propagations and instability, and atmospheric teleconnection patterns. J. Atmos. Sc i . 40 , 1363 – 1392 .  

  39. Smagorinsky , J. , Manabe , S. and Holloway , J. L. 1965 . Numerical results from a nine-level general circulation model of the atmosphere. Mon. Wea. Re v . 93 , 727 – 768 .  

  40. Szunyogh , I. , Kalnay , E. and Toth , Z. 1997 . A comparison of Lyapunov and Optimal vectors in a low resolution GCM . Tellus 48A , 200 – 227 .  

  41. Tibaldi , S. , Ruti , P. and Maruca , M. 1995 . Operational predictability of winter blocking at ECMWF: an update . Ann. Geophys . 13 , 305 – 317 .  

  42. Toth , Z. and Kalnay , E. 1993 . Ensemble forecasting at NMC: the generation of perturbations . Bull. Am. Meteorol. Soc . 174 , 2317 – 2330 .  

  43. Toth , Z. and Kalnay , E. 1997 . Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Re v . 125 , 3297 – 3319 .  

  44. Wang , X. and Bishop , C. H. 2003 . A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sc i . 60 , 1140 – 1158 .  

  45. Watson , J. S. and Colucci , S. J. 2002 . Evolution of ensemble predictions of blocking in the NCEP global spectral model. Mon. Wea. Re v . 130 , 3008 – 3102 .  

  46. Wei , M. and Toth , Z. 2003 . A new measure of ensemble performance: Perturbation versus error correlation analysis (PECA). Mon. Wea. Re v . 131 , 1549 – 1565 .  

  47. Wei , M. and Frederilcsen , J. S. 2004 . Error growth and dynamical vectors during southern hemisphere blocking . Non-linear Processes in Geophysics 11 , 99 – 118 .  

  48. Wiedermann , J. M. , Lupo , A. R. , Molchov , I. I. and Tilchonova , E. A. 2002 . The climatology of blocking anticyclones for the Northern and Southern Hemispheres: block intensity as a diagnostic . J. Climate 15 , 3459 – 3473 .  

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