Probabilistic forecasting from ensemble prediction systems: Improving upon the best-member method by using a different weight and dressing kernel for each member

Quarterly Journal of the Royal Meteorological Society

Volumn 132, Issue 617, 2006, Pages 1349-1369

  Fortin, Vincent ^a   Favre, Anne Catherine ^b   Saïd, Mériem ^b  

^a ENVIRONMENT CANADA   (Canada)

^b HYDRO QUÉBEC   (Canada)

Author keywords

Bayesian model averaging; Dressing kernel; Ensemble augmentation; Overdispersive; Underdispersive

Indexed keywords

MATHEMATICAL MODELS; METEOROLOGY; PROBABILITY; STATISTICAL METHODS;

BAYESIAN MODEL AVERAGING; DRESSING KERNEL; ENSEMBLE AUGMENTATION; OVERDISPERSIVE; UNDERDISPERSIVE;

WEATHER FORECASTING;

BAYESIAN ANALYSIS; ENSEMBLE FORECASTING; ERROR ANALYSIS; NUMERICAL MODEL; PROBABILITY; SAMPLING; STATISTICAL DISTRIBUTION; WEATHER FORECASTING;

EID: 33746239466     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/qj.05.167     Document Type: Article

References (23)

1. Buizza, R., Houtekamer, P. L., Toth, Z., Pellerin, G., Wei, M. and Zhu, Y. 2005 A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems. Mon. Weather Rev., 133, 1076-1097
2. Clark, M., Gangopadhyay, S., Hay, L., Rajagopalan, B. and Wilby, R. 2004 The Schaake Shuffle: A method for reconstructing space - time variability in forecasted precipitation and temperature fields. J. Hydrometeorology, 5, 243-262
3. Collier, C. G. and Krzysztofowicz, R. 2000 Quantitative precipitation forecasting. J. Hydrol., 239, 1-2
4. Davis, D. R., Duckstein, L. and Krzysztofowicz, R. 1979 The worth of hydrologic data for nonoptimal decision making. Water Resour. Res., 15, 1733-1742
5. Dempster, A. P., Laird, N. M. and Rubin, D. B. 1977 Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc., Series B, 39, 1-38
6. Eckel, F. A. 2003 'Effective mesoscale, short-range ensemble forecasting'. Ph.D. thesis, University of Washington
7. Feddersen, H. and Andersen, U. 2005 A method for statistical downscaling of seasonal ensemble predictions. Tellus, 57A, 398-408
8. Gander, W. and Gautschi, W. 2000 Adaptive quadrature - revisited. BIT Numerical Mathematics, 40, 84-101
9. Genest, C. and Favre, A.-C. 2006 Everything you always wanted to know about copula modeling but were afraid to ask. J. Hydrol. Eng., in press
10. Hall, P. and Zhou, X.-H. 2003 Nonparametric estimation of component distributions in a multivariate mixture. Ann. Statistics, 31, 201-224
11. Hamill, T. M., Whitaker, J. S. and Mullen, S. L. 2006 Reforecasts: An important dataset for improving weather predictions. Bull. Am. Meteorol. Soc., 87, 33-46
12. Hersbach, H. 2000 Decomposition of the continuous ranked probability score for ensemble prediction systems. Weather and Forecasting, 15, 559-570
13. Houdant, B. 2004 'Contribution à I'amélioration de la prévision hydrométéorologique opérationnelle: Pour l'usage des probabilités dans la communication entre acteurs'. Ph.D. thesis, École Nationale du Génie Rural, des Eaux et des Forêts (Paris)
14. Jensen, F. V. 2001 Bayesian networks and decision graphs. Springer-Verlag, New York
15. Krzysztofowicz, R. 2004 'Bayesian processor of output: A new technique for probabilistic weather forecasting'. Paper 4.2, 17th Conference on Probability and Statistics in the Atmospheric Sciences, 84th AMS Annual Meeting, Seattle, 11-15 January 2004. American Meteorological Society. Available at http://ams.confex.com/ams/84Annual/17PROBSTA/abstracts/ 69608.htm
16. Legg, T. P. and Mylne, K. R. 2004 Early warnings of severe weather from ensemble forecast information. Weather and Forecasting, 19, 891-906
17. Lindley, D. V. and Novick, M. R. 1981 The role of exchangeability in inference. Ann. Statistics, 9, 45-58
18. Raftery, A. E., Gneiting, T., Balabdaoui, F. and Polakowski, M. 2005 Using Bayesian model averaging to calibrate forecast ensembles. Mon. Weather Rev., 133, 1155-1174
19. Roulston, M. S. and Smith, L. A. 2003 Combining dynamical and statistical ensembles. Tellus, 55A, 16-30
20. Sivillo, J. K., Ahlquist, J. E. and Toth, Z. 1997 An ensemble forecasting primer. Weather and Forecasting, 12, 809-818
21. Walley, P. 1996 Inferences from multinomial data: Learning about a bag of marbles. J. R. Stat. Soc., 58B, 3-57
22. Wang, X. and Bishop, C. H. 2005 Improvement of ensemble reliability with a new dressing kernel. Q. J. R. Meteorol. Soc., 131, 965-986
23. Weisstein, E. W. 2002 CRC Concise encyclopedia of mathematics. 2nd edition, CRC Press