Ensemble calibration of 500-hPa geopotential height and 850-hPa and 2-m temperatures using reforecasts

Monthly Weather Review

Volumn 135, Issue 9, 2007, Pages 3273-3280

  Hamill, Thomas M ^a   Whitaker, Jeffrey S ^a  

^a EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; METEOROLOGY; PROBABILITY; WEATHER FORECASTING;

ANALOG METHOD; BIAS CORRECTION; RANK HISTOGRAMS;

ATMOSPHERIC TEMPERATURE;

ANALOG MODEL; ATMOSPHERIC CORRECTION; CALIBRATION; DATA SET; ENSEMBLE FORECASTING; GEOPOTENTIAL; HISTOGRAM; PROBABILITY;

EID: 34848879206     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3468.1     Document Type: Article

References (20)

1. Anderson, J. L., 1996: A method for producing and evaluating probabilistic forecasts from ensemble model integrations. J. Climate, 9, 1518-1530.
2. Eckel, F. A., and M. K. Walters, 1998: Calibrated probabilistic quantitative precipitation forecasts based on the MRF ensemble. Wea. Forecasting, 13, 1132-1147.
3. Gneiting, T., A. E. Raftery, A. H. Westveld III, and T. Goldman, 2005: Calibrated probabilistic forecasting using ensemble Model Output Statistics and minimum CRPS estimation. Mon. Wea. Rev., 133, 1098-1118.
4. Hamill, T. M., 2001: Interpretation of rank histograms for verifying ensemble forecasts. Mon. Wea. Rev., 129, 550-560.
5. Hamill, T. M., and S. J. Colucci, 1998: Evaluation of Eta-RSM ensemble probabilistic precipitation forecasts. Mon. Wea. Rev., 126, 711-724.
6. Hamill, T. M., and J. Juras, 2006: Measuring forecast skill: Is it real skill or is it the varying climatology? Quart. J. Roy. Meteor. Soc., 132, 2905-2923.
7. Hamill, T. M., and J. S. Whitaker, 2006: Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application. Mon. Wea. Rev., 134, 3209-3229.
8. Hamill, T. M., J. S. Whitaker, and X. Wei, 2004: Ensemble reforecasting: Improving medium-range forecast skill using retrospective forecasts. Mon. Wea. Rev., 132, 1434-1447.
9. Hamill, T. M., J. S. Whitaker, and S. L. Mullen, 2006: Reforecasts: An important dataset for improving weather predictions. Bull. Amer. Meteor. Soc., 87, 33-46.
10. Hersbach, H., 2000: Decomposition of the continuous ranked probability score for ensemble prediction systems. Wea. Forecasting, 15, 559-570.
11. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
12. Liu, Z.-Q., and F. Rabier, 2002: The interaction between model resolution, observation resolution and observation density in data assimilation: A one-dimensional study. Quart. J. Roy. Meteor. Soc., 128, 1367-1386.
13. Raftery, A. E., T. Gneiting, F. Balabdaoui, and M. Polakowski, 2005: Using Bayesian model averaging to calibrate forecast ensembles. Mon. Wea. Rev., 133, 1155-1174.
14. Roulston, M. S., and L. A. Smith, 2003: Combining dynamical and statistical ensembles. Tellus, 55A, 16-30.
15. Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of perturbations. Bull. Amer. Meteor. Soc., 74, 2317-2330.
16. Toth, Z., and E. Kalnay, 1997: Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Rev., 125, 3297-3319.
17. Wang, X., and C. H. Bishop, 2005: Improvement of ensemble reliability with a new dressing kernel. Quart. J. Roy. Meteor. Soc., 131, 965-986.
18. Wilks, D. S., 2006a: Comparison of ensemble-MOS methods in the Lorenz '96 setting. Meteor. Appl., 13, 243-256.
19. Wilks, D. S., 2006b: Statistical Methods in the Atmospheric Sciences. 2d ed. Academic Press, 627 pp.
20. Wilks, D. S., and T. M. Hamill, 2007: Comparison of ensemble-MOS methods using GFS reforecasts. Mon. Wea. Rev., 135, 2379-2390.