Statistical and dynamical long-range atmospheric forecasts experimental comparison and hybridization

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 48, Issue 4, 1996, Pages 518-537

  Sarda, Jérôme ^a   Plaut, Guy ^a   Pires, Carlos ^b   Vautard, Robert ^b  

^a INSTITUT NON LINÉAIRE DE NICE   (France)

^b LABORATOIRE DE MÉTÉOROLOGIE DYNAMIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC FORECAST; LONG RANGE FORECAST;

FRANCE;

EID: 0030440171     PISSN: 02806495     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0870.1996.t01-3-00003.x     Document Type: Article

References (36)

1. Barnett, T. P. and R. W. Preisendorfer, 1987. Origins and levels of monthly and seasonal forecast skill for United States surface air temperautres determined by canonical correlation analysis. Mon. Wea. Rev. 115, 1825-1850.
2. Barnston, A. G. 1992. Correspondence among the correlation, RMSH, and Heidke forecast verification measures; refinement of the Heidke score. Wea. Forecasting 7, 699-709.
3. Barnston, A. G., 1994. Linear statistical short-term climate predictive skill in the Northern Hemisphere. J. Climate 7, 1513-1564.
4. Bergen, R. E. and R. P. Harnack, 1982. Long-range temperature prediction using a simple analog approach. Mon. Wea. Rev. 110, 1083-1099.
5. Brankovic, C., T. N. Palmer, F. Molteni, S. Tibaldi and U. Cubash, 1990. Extended-range predictions with ECMWF models: time lagged ensemble forecasting. Quart. J. Roy. Meteor. Soc. 116, 867-912.
6. Broomhead, D. S. and G. P. King, 1986a. Extracting qualitative dynamics from experimental data. Physica D 20, 217-236.
7. Broomhead, D. S. and G. P. King, 1986b. On the qualitative analysis of experimental dynamical systems. Nonlinear Phenomena and Chaos, S. Sarkar, ed. Adam Hilger, pp. 113-144.
8. Déqué, M. 1988. 10-day predictability of the northern hemisphere winter 500-mb height by the ECMWF operational model. Tellus 40A, 26-36.
9. Deque, M. 1991. The probabilistic formulation. A way to deal with ensemble forecasts. Annales Geophysicae 6, 217-224.
10. Deque, M. and J.-F. Royer, 1992. The skill of extendedrange extratropical winter dynamical forecasts. J. Climate 5, 1346-1356.
11. Déqué, M., J.-F. Royer and R. Stroe, 1994. Formulation of gaussian probability forecasts based on model extended-range integrations. Tellus 46A, 52-65.
12. Epstein, E. S., 1969. Stochastic dynamic prediction. Tellus 21, 739-759.
13. Folland, C. K., and A. Woodcock, 1986. Experimental monthly long-range forecasts for the UK. Part I: Description of the forecasting system. Meteor. Magazine 115, 301-318.
14. Folland, C. K., A. Woodcock and L. D. Varah, 1986. Experimental monthly long-range forecasts for the United Kingdom. Part III: Skill of monthly forecasts. Meteor. Magazine 115, 377-393.
15. Gandin, L. S. and A. H. Murphy, 1992. Equitable skill scores for categorical forecasts. Mon. Wea. Rev. 120, 361-370.
16. Gelb, A. 1986. Applied optimal estimation. MIT Press, 374 pp.
17. Hotelling, H. 1936. Relations between two sets of variants. Biometrika 28, 321-377.
18. Jazwinski, A. H. 1970. Stochastic processes and filtering theory. Academic Press, 376 pp.
19. Jianping, H., Y. Yuhong, W. Shaowu, 1993. An analogue-dynamical long-range numerical weather prediction system incorporating historical evolution. Quart. J. Meteor. Soc. 119, 547-565.
20. Klein, W. H. 1983. Objective specification of monthly mean surface temperature from mean 700-mb height in winter. Mon. Wea. Rev. 111, 674-691.
21. Livezey, R. E. and A. G. Barnston, 1988. An operational multifield analog/antianalog prediction system for US seasonal temperatures. Part I: System design and winter experiments. J. Geophys. Res. 9D, 10953-10974.
22. Madden, R. 1981. A quantitative approach to long-range prediction. J. Geophys. Res. 84(C10), 9817-9825.
23. Milton, S. F. and D. F. Richarson, 1991. 30-day dynamical forecasts at the UK Meteorological Office. In: Proceedings of ECMWF Workshop on New Developments in Predictability, 13-15 November 1991, ECMWF, Shinfield Park, Reading, pp. 205-245.
24. Mureau, R., Molteni, F. and T. N. Palmer, 1993. Ensemble prediction using dynamically conditioned perturbations. Q. J. R. Meteorol. Soc. 119, 292-323.
25. Palmer, T. N. and D. L. T. Anderson, 1994. The prospects for seasonal forecasting - A review paper. Quart. J. Roy. Meteor. Soc. 120, 755-794.
26. Plaut, G. and R. Vautard, 1994. Spells of low-frequency oscillations and weather regimes in the Northern Hemisphere. J. Atmos. Sci. 51, 210-236.
27. Preisendorfer, R. W. 1988. Principal component analysis in meteorology and oceanography. C. D. Mobley, ed. Elsevier, Amsterdam, 425 pp.
28. Toth, Z. and E. Kalnay, 1993. Ensemble forecasting at NMC: The generation of perturbations, Bull. Am. Meteorol. Soc. 74(12), 2317-2330.
29. Tracton, M. S., K. Mo, W. Chen, E. Kalnay, R. Kistler, and G. White, 1989. Dynamical extended range forecasts (DERF) at the National Meteorological Center. Mon. Wea. Rev. 117, 1604-1635.
30. Tukey, J. 1958. Bias and confidence in not-quite large samples. Ann. Math. Stat. 29, 614.
31. Van den Dool, H. M. and Z. Toth, 1991. Why do forecasts "near normal" often fail? Wea. Forecasting 6, 76-85.
32. Van den Dool, H. M., 1994. Long-range weather forecasts through numerical and empirical methods. Dyn. Atmos. Oceans 20, 247-270.
33. Vautard, R., C. Pires and G. Plaut, 1996. Atmospheric long-range forecasts using space-time principal components. Mon. Wea. Rev. 124, 288-307.
34. Vautard, R. 1995. Patterns in time: SSA and MSSA. In: Analysis of climate variability, von Storch, H. and Navarra, A. (eds.). Springer, Berlin, pp. 259-279.
35. Von Storch, H. 1995. Spatial patterns: EOFs and CCA. In: Analysis of climate variability, von Storch, H. and Navarra, A. (eds.). Springer, Berlin, pp. 227-257.
36. Ward, M. N. and C. K. Folland, 1991. Prediction of seasonal rainfall in the North Nordeste of Brazil using eigenvectors of sea-surface temperature. Int. J. Climatol. 11, 711-743.