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REFERENCES

  • Atger, F. 1999 The skill of ensemble prediction systems. Mon. Weather Rev., 127, 19411953
  • Barkmeijer, J., Buizza, R. and Palmer, T. N. 1999 3D-Var Hessian singular vectors and their potential use in the ECMWF Ensemble Prediction System. Q. J. R. Meteorol. Soc., 125, 23332351
  • Buizza, R. and Hollingsworth, A. 2002 Storm prediction over Europe using the ECMWF Ensemble Prediction System. Meteorol. Appl., 9, 289305
  • Buizza, R. and Palmer, T. N. 1995 The singular-vector structure of the atmospheric general circulation. J. Atmos. Sci., 52, 14341456
  • Buizza, R., Petroliagis, T., Palmer, T. N., Barkmeijer, J., Hamrud, M., Hollingsworth, A., Simmons, A. and Wedi, N. 1998 Impact of model resolution and ensemble size on the performance of an ensemble prediction system. Q. J. R. Meteorol. Soc., 124, 19351960
  • Buizza, R., Miller, M. and Palmer, T. N. 1999 Stochastic simulation of model uncertainties. Q. J. R. Meteorol. Soc., 125, 28872908
  • Epstein, E. S. 1969 Stochastic dynamic prediction. Tellus, 21, 739759
  • Fleming, R. J. 1971a On stochastic dynamic prediction. I: The energetics of uncertainty and the question of closure. Mon. Weather Rev., 99, 851872
  • 1971b On stochastic dynamic prediction. II: Predictability and utility. Mon. Weather Rev., 99, 927938
  • Gelaro, R., Buizza, R., Palmer, T. N. and Klinker, E. 1998 Sensitivity analysis of forecast errors and the construction of optimal perturbations using singular vectors. J. Atmos. Sci., 55, 10121037
  • Hoffschildt, M., Bidlot, J.-R., Hansen, B. and Janssen, P. A. E. M. 1999 ‘Potential benefit of ensemble forecasts for ships’. ECMWF Research Department Technical Memorandum No. 287. ECMWF, Shinfield Park, Reading, RG6 9AX, UK
  • Leith, C. E. 1974 Theoretical skill of Monte-Carlo forecasts. Mon. Weather Rev., 102, 409418
  • Liljas, E. and Murphy, A. H. 1994 Anders Angstrom and his early papers on probability forecasting and the use/value of weather forecasts. Bull. Am. Meteorol. Soc., 75, 12271236
  • Mason, I. 1982 A model for assessment of weather forecasts. Aust. Meteorol. Mag., 30, 291303
  • Molteni, F., Buizza, R., Palmer, T. N. and Petroliagis, T. 1996 The new ECMWF ensemble prediction system: Methodology and validation. Q. J. R. Meteorol. Soc., 122, 73119
  • Mureau, R., Wessels, H. and van Dorp, H. 1997 ‘Skating on EPS’. ECMWF Newsletter No 74–Winter 1996–97. ECMWF, Shinfield Park, Reading, RG6 9AX, UK
  • Murphy, A. H. 1977 The value of climatological, categorical and probabilistic forecasts in the cost–loss ratio situation. Mon. Weather Rev., 105, 803816
  • Palmer, T. N., Molteni, F., Mureau, R., Buizza, R., Chapelet, P. and Tribbia, J. 1993 ‘Ensemble prediction’. In Proceedings of the ECMWF seminar on validation of models over Europe: Vol. I. ECMWF, Shinfield Park, Reading, RG2 9AX, UK
  • Richardson, D. S. 2000 Skill and economic value of the ECMWF Ensemble Prediction System. Q. J. R. Meteorol. Soc., 126, 649668
  • 2001 Measures of skill and value of ensemble prediction systems, their interrelationship and the effect of ensemble size. Q. J. R. Meteorol. Soc., 127, 24732489
  • Roebber, P. J. and Bosart, L. F. 1996 The complex relationship between forecast skill and forecast value: A real-world analysis. Weather and Forecasting, 11, 544559
  • Stanski, H. R., Wilson, L. J. and Burrows, W. R. 1989 ‘Survey of common verification methods in meteorology’. World Weather Watch Technical Report No. 8. WMO/TD. No. 358. World Meteorological Organization, Geneva, Switzerland
  • Taylor, J. and Buizza, R. 2003 Energy demand prediction using the ECMWF Ensemble Prediction System. Int. J. Forecasting, in press
  • Toth, Z., Zhu, Y., Szunyogh, I., Iredell, M. and Wobus, R. 2002 ‘Does increased model resolution enhance predictability?’. Paper J1.8 in Proceedings of the AMS symposium on observations, data assimilation and probabilistic prediction, 13–17 January 2002, Orlando, Florida. American Meteorological Society, Boston, USA (available fromhttp://sgi62.wwb.noaa.gov:8080/e ns/ens_info.html)
  • Wilks, D. S. 1995 Statistical methods in the atmospheric sciences. Academic Press, San Diego, USA
  • Ziehmann, C. 2000 Comparison of a single-model EPS with a multi-model ensemble consisting of a few operational models. Tellus, 52A, 280298