Horizontal resolution impact on short- and long-range forecast error

Quarterly Journal of the Royal Meteorological Society

Volumn 136, Issue 649, 2010, Pages 1020-1035

  Buizza, Roberto ^a  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

Error growth; Model resolution; Numerical weather prediction; Predictability

Indexed keywords

850-HPA; ASYMPTOTIC VALUES; COLD SEASON; ERROR GROWTH; GEOPOTENTIAL HEIGHT; HIGH RESOLUTION; HORIZONTAL RESOLUTION; LONG-RANGE FORECASTS; MEDIUM RANGE; MODEL FRAMEWORK; MODEL RESOLUTION; NORTHERN HEMISPHERE; NUMERICAL WEATHER PREDICTION; THREE-PARAMETER MODELS; WARM SEASONS;

WEATHER FORECASTING;

ERROR ANALYSIS; NUMERICAL MODEL; SENSITIVITY ANALYSIS; SPATIAL RESOLUTION; WEATHER FORECASTING;

EID: 77954449861     PISSN: 00359009     EISSN: 1477870X     Source Type: Journal    
DOI: 10.1002/qj.613     Document Type: Article

References (25)

1. Bechtold PM, Koehler M, Jung T, Doblas-Reyes F, Leutbecher M, Rodwell MJ, Vitart F, Balsamo G. 2008. 'Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales.' ECMWF RD Technical Memorandum 556, 22 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
2. Bengtsson LK, Magnusson L, Källén E. 2008. Independent estimations of the asymptotic variability in an ensemble forecast system. Mon. Weather Rev. 136: 4105-4112.
3. Brown AR. 2004. 'Resolution dependence of orographic torques.' ECMWF RD Technical Memorandum 433, 18 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
4. Buizza R, Palmer TN. 1995. The singular-vector structure of the atmospheric global circulation. J. Atmos. Sci. 52: 1434-1456.
5. Buizza R, Miller M, Palmer TN. 1999. Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Q. J. R. Meteorol. Soc. 125: 2887-2908.
6. Buizza R, Richardson DS, Palmer TN. 2003. Benefits of increased resolution in the ECMWF ensemble system and comparison with poor-man's ensembles. Q. J. R. Meteorol. Soc. 129: 1269-1288.
7. Charney JG, Fleagle RG, Riehl H, Lally VE, Wark DQ. 1966. The feasibility of a global observation and analysis experiment. Bull. Am. Meteorol. Soc. 47: 200-220.
8. Dalcher A, Kalnay E. 1987. Error growth and predictability in operational ECMWF analyses. Tellus 39A: 474-491.
9. Jung T, Palmer TN, Shutts GJ. 2005. 'Influence of stochastic physics on the frequency of occurrence of North Pacific weather regimes in the ECMWF model.' ECMWF RD Technical Memorandum 473, 7 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
10. Laprise R. 1992. The Euler equations of motion with hydrostatic pressure as an independent variable. Mon. Weather Rev. 120: 197-207.
11. Leith CE. 1982. 'Statistical methods for the verification of long and short range forecasts.' Pp 313-333 in Proc. ECMWF Seminar on problems and prospects in long and medium range weather forecasts, 14-18 September 1981. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
12. Lorenz EN. 1969. Atmospheric predictability as revealed by naturally occurring analogues. J. Atmos. Sci. 26: 636-646.
13. Lorenz EN. 1982. Atmospheric predictability experiments with a large numerical model. Tellus 34: 505-513.
14. Palmer TN, Buizza R, Leutbecher M, Hagedorn R, Jung T, Rodwell M, Vitart F, Berner J, Hagel E, Lawrence A, Pappenberger F, Park Y-Y, von Bremen L, Gilmour I, Smith L. 2007. 'The Ensemble Prediction System - Recent and ongoing developments. A paper presented at the 36th Session of the ECMWF Scientific Advisory Committee.' ECMWF Research Department Technical Memorandum 540, 55 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK, or from http://www.ecmwf.int/publications/library/.
15. Palmer TN, Buizza R, Doblas-Reyes F, Jung T, Leutbecher M, Shutts GJ, Steinheimer M, Weisheimer A. 2009. 'Stochastic parametrization and model uncertainty.' ECMWF RD Technical Memorandum 598, 42 pp. Available from ECMWF, Shinfield Park, Reading, RG2 9AX, UK.
16. Reynolds CA, Webster PJ, Kalnay E. 1994. Random error growth in NMC's global forecasts. Mon. Weather Rev. 122: 1281-1305.
17. Savijärvi H. 1995. Error growth in a large numerical forecast system. Mon. Weather Rev. 123: 212-221.
18. Shutts GJ. 2005. A kinetic energy backscatter algorithm for use in ensemble prediction systems. Q. J. R. Meteorol. Soc. 131: 3079-3102.
19. Simmons AJ, Hollingsworth A. 2002. Some aspects of the improvement in skill of numerical weather prediction. Q. J. R. Meteorol. Soc. 128: 647-677.
20. Simmons AJ, Mureau R, Petroliagis T. 1995. Error growth and estimates of predictability from the ECMWF forecasting system. Q. J. R. Meteorol. Soc. 121: 1739-1771.
21. Smagorinsky J. 1969. Problems and promises of deterministic extended range forecasting. Bull. Am. Meteorol. Soc. 50: 286-311.
22. Toth Z, Kalnay E. 1993. Ensemble forecasting at NMC: The generation of perturbations. Bull. Am. Meteorol. Soc. 74: 2317-2330.
23. Toth Z, Zhu Y, Szunyogh I, Iredell M, Wobus R. 2002. 'Does increased resolution enhance predictability?' Paper J1.8 in Proceedings of the AMS Symposium on observations, data assimilation and probabilistic prediction, Orlando, Florida,13-17 January 2002. Available from American Meteorological Society, Boston, USA.
24. Tracton MS, Kalnay E. 1993. Operational ensemble prediction at the National Meteorological Center: Practical aspects. Weather and Forecasting 8: 379-398.
25. Wilks DS. 1995. Statistical methods in the atmospheric sciences. International Geophysics Series 59. Academic Press: San Diego.