Factors influencing skill improvements in the ECMWF forecasting system

Monthly Weather Review

Volumn 141, Issue 9, 2013, Pages 3142-3153

  Magnusson, Linus ^a   Källén, Erland ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS MODELING; CONTRIBUTING FACTOR; DATA ASSIMILATION; DIAGNOSTIC TOOLS; ECMWF RE-ANALYSIS; FORECASTING SYSTEM; INITIAL CONDITIONS; RELATIVE CONTRIBUTION;

MATHEMATICAL MODELS; METEOROLOGY;

FORECASTING;

DATA ASSIMILATION; ERROR ANALYSIS; EXTRATROPICAL ENVIRONMENT; GROWTH MODELING; NUMERICAL MODEL; TROPOSPHERE; WEATHER FORECASTING;

EID: 84884295810     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-12-00318.1     Document Type: Article

References (22)

1. Bechtold, P., M. K€ohler, T. Jung, F. Doblas-Reyes, M. Leutbecher, M. J. Rodwell, F. Vitart, and G. Balsamo, 2008: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales. Quart. J. Roy. Meteor. Soc., 134, 1337-1351.
2. Bengtsson, L. K., L. Magnusson, and E. Kä llén, 2008: Independent estimations of the asymptotic variability in an ensemble forecast system. Mon. Wea. Rev., 136, 4105-4112.
3. Buizza, R., 2008: Comparison of a 51-member low-resolution (TL399L62) ensemble with a 6-member high-resolution (TL799L91) lagged-forecast ensemble. Mon. Wea. Rev., 136, 3343-3362.
4. Dalcher, A., and E. Kalnay, 1987: Error growth and predictability in operational ECMWF forecasts. Tellus, 39A, 474-491.
5. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597.
6. Fisher, M., Y. Trémolet, H. Auvinen, D. Tan, and P. Poli, 2011: Weak-constraint and long-window 4D-Var. Tech. Memo. 655, ECMWF, 47 pp.
7. Hoskins, B. J., 2013: The potential for skill across the range of the seamless weather-climate prediction problem: A stimulus for our science. Quart. J. Roy. Meteor. Soc., 139, 573-584, doi:10.1002/qj.1991.
8. Isaksen, L., M. Bonavita, R. Buizza, M. Fisher, J. Haseler, M. Leutbecher, and L. Raynaud, 2010: Ensemble of data assimilations at ECMWF. Tech. Memo. 636, ECMWF, 45 pp.
9. Jung, T., and Coauthors, 2010: The ECMWF model climate: Recent progress through improved physical parametrizations. Quart. J. Roy. Meteor. Soc., 136, 1145-1160.
10. Lorenz, E. N., 1963: Deterministic nonperiodic flow. J. Atmos. Sci., 20, 130-141.
11. Lorenz, E. N., 1982: Atmospheric predictability experiments with a large numerical model. Tellus, 34, 505-513.
12. Palmer, T., R. Buizza, F. Doblas-Reyes, T. Jung, M. Leutbecher, J. Shutts, G. M. Steinheimer, and A. Weisheimer, 2009: Stochastic parametrization and model uncertainty. Tech. Memo. 598, ECMWF, 42 pp.
13. Peña, M., and E. Kalnay, 2004: Separating fast and slow modes in coupled chaotic systems. Nonlinear Processes Geophys., 11, 319-327.
14. Rodwell, M. J., D. S. Richardson, T. D. Hewson, and T. Haiden, 2010: A new equitable score suitable for verifying precipitation in numerical weather prediction. Quart. J. Roy. Meteor. Soc., 136, 1344-1363.
15. Rodwell, M. J., and Coauthors, 2013: Characteristics of occasional poor medium-range weather forecasts for Europe. Bull. Amer. Meteor. Soc., in press.
16. Savijä rvi, H., 1995: Error growth in a large numerical forecast system. Mon. Wea. Rev., 123, 212-221.
17. Shukla, J., 1998: Predictability in the midst of chaos: A scientific basis for climate forecasting. Science, 282, 728-731.
18. Simmons, A., and A. Hollingsworth, 2002: Some aspects of the improvement in skill of numerical weather prediction. Quart. J. Roy. Meteor. Soc., 128, 647-677.
19. Simmons, A., R. Mureau, and T. Petroliagis, 1995: Error growth and estimates of predictability from the ECMWF forecasting system. Quart. J. Roy. Meteor. Soc., 121, 1739-1771.
20. Stoffelen, A., and Coauthors, 2005: The atmospheric dynamicsmission for globalwindmeasurement.Bull.Amer.Meteor. Soc., 86, 73-87.
21. Stroe, R., and J.-F. Royer, 1993: Comparison of different error growth formulas and predictability estimations in numerical extended-forecasts. Ann. Geophys., 13, 296-316.
22. Vitart, F., and F. Molteni, 2010: Simulation of the Madden-Julian Oscillation and its teleconnections in the ECMWF forecast system. Quart. J. Roy. Meteor. Soc., 136, 842-855.