A spatial verification method applied to the evaluation of high-resolution ensemble forecasts

Meteorological Applications

Volumn 15, Issue 1, 2008, Pages 125-143

  Marsigli, Chiara ^a   Montani, Andrea ^a   Paccangnella, Tiziana ^a  

^a ARPA SIM   (Italy)

Author keywords

Ensemble; High resolution; Verification

Indexed keywords

IMAGE RESOLUTION; PROBABILITY DISTRIBUTIONS; VERIFICATION;

ENSEMBLE; ENSEMBLE PREDICTION SYSTEMS; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; HIGH RESOLUTION; PRECIPITATION DISTRIBUTION; PROBABILISTIC EVALUATION; SPATIOTEMPORAL DISTRIBUTIONS; STATISTICAL VERIFICATION;

WEATHER FORECASTING;

CALIBRATION; ENSEMBLE FORECASTING; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; PROBABILITY; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS;

EID: 42549148765     PISSN: 13504827     EISSN: 14698080     Source Type: Journal    
DOI: 10.1002/met.65     Document Type: Article

References (29)

1. Bougeault P. 2003. WGNE recommendations on verification methods for numerical weather prediction of weather elements and severe weather events. CAS/JSC WGNE Report. No. 18.
2. Brier GW. 1950. Verification of forecasts expressed in terms of probability. Monthly Weather Review 78: 1-3.
3. Candille G, Talagrand O. 2005. Evaluation of probabilistic prediction systems for a scalar variable. Quarterly Journal of the Royal Meteorological Society 131: 2131-2150.
4. Davis C, Carr F. 2000. Summary of the 1998 workshop on mesoscale model verification. Bulletin of the American Meteorological Society 81: 809-819.
5. Davis CA, Brown BG, Bullock RG. 2006. Object-based verification of precipitation forecasts. Part I: methodology and application to mesoscale rain areas. Monthly Weather Review 134: 1772-1784.
6. Ebert EE. 2008. Fuzzy verification of high resolution gridded forecasts: a review and proposed framework. Meteorological Applications, 15: 53-66.
7. Epstein ES. 1969. A scoring system for probabilities of ranked categories. Journal of Applied Meteorology 8: 985-987.
8. Ghelli A, Lalaurette F. 2000. Verifying precipitation forecasts using upscaled observations. ECMWF Newsletter 87: 9-17.
9. Hamill TM. 1999. Hypothesis tests for evaluating nemerical precipitation forecasts. Weather and Forecasting 14: 155-167.
10. Houtekamer PL, Derome J, Ritchie H, Mitchell HL. 1996. A system simulation approach to ensemble prediction. Monthly Weather Review 124: 1225-1242.
11. Marsigli C, Montani A, Nerozzi F, Paccagnella T, Tibaldi S, Molteni F, Buizza R. 2001. A strategy for High-Resolution Ensemble Prediction. Part II: Limited-area experiments in four Alpine flood events. Quarterly Journal of the Royal Meteorological Society 127: 2095-2115.
12. Marsigli C, Boccanera F, Montani A, Paccagnella T. 2005a. The COSMO-LEPS ensemble system: validation of the methodology and verification. Nonlinear Processes in Geophysics 12: 527-536.
13. Marsigli C, Montani A, Paccagnella T, Sacchetti D, Walser A, Schumann T. 2005b. Evaluation of the performance of the COSMO-LEPS system. COSMO Technical Report No. 8, 40, Available at http://www.cosmo-model.org/ public/techReports.htm.
14. Marsigli C, Montani A, Paccagnella T. 2006. Verification of the COSMO-LEPS new suite in terms of precipitation distribution. COSMO Newsletter 6: 134-141, Available at http:/ /www.cosmo-model.org/public/newsLetters.htm.
15. Mason SJ, Graham NE. 1999. Conditional probabilities, relative operating characteristics and relative operating levels. Weather and Forecasting 14: 713-725.
16. Mass CF, Ovens D, Westrick K, Colle BA. 2002. Does increasing horizontal resolution produce more skillful forecasts? Bulletin of the American Meteorological Society 83: 407-430.
17. Molteni F, Buizza R, Palmer TN, Petroliagis T. 1996. The ECMWF ensemble prediction system: methodology and validation. Quarterly Journal of the Royal Meteorological Society 122: 73-119.
18. Molteni F, Buizza R, Marsigli C, Montani A, Nerozzi F, Paccagnella T. 2001. A strategy for High-Resolution Ensemble Prediction. Part I: definition of representative members and global model experiments. Quarterly Journal of the Royal Meteorological Society 127: 2069-2094.
19. Montani A, Capaldo M, Cesari D, Marsigli C, Modigliani U, Nerozzi F, Paccagnella T, Patruno P, Tibaldi S. 2003. Operational limited-area ensemble forecasts based on the Lokal Modell. ECMWF Newsletter Summer 2003 No. 98, 2-7.
20. Murphy AH. 1973. A new vector partition of the probability score. Journal of Atmospheric Sciences 12: 595-600.
21. Murphy AH. 1993. What is a good forecast? An essay on the nature of goodness in weather forecasting. Weather and Forecasting 8: 281-293.
22. Paccagnella T. 2006. The COSMO consortium in 2005-2006. In Newsletter of the 28th EWGLAM and 13th SRNWP Meetings, Zurich CH (ed.). MeteoSwiss; 31-41.
23. Skamarock WC. 2004. Evaluating mesoscale NWP models using kinetic energy spectra. Monthly Weather Review 132: 3019-3032.
24. Steppeler J, Doms G, Schättler U, Bitzer HW, Gassmann A, Damrath U, Gregoric G. 2003. Meso-gamma scale forecasts using the nonhydrostatic model LM. Meteorology and Atmospheric Physics 82: 75-96.
25. Talagrand O, Vautard R, Strauss B. 1999. Evaluation of probabilistic prediction systems. In Proceedings of the ECMWF Workshop on Predictability, Reading, 20-22 October 1997, 372.
26. Toth Z, Talagrand O, Zhu Y. 2006. The attributes of forecast systems: a general framework for the evaluation and calibration of weather forecasts. Predictability of Weather and Climate. Cambridge University Press; 718.
27. Tracton MS, Kalnay E. 1993. Operational ensemble prediction at the National Meteorological Centre: Practical Aspects. Weather and Forecasting 8: 379-398.
28. Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Academic Press: New York; 467.
29. Zepeda-Arce J, Foufoula-Georgiou E, Droegemeier KK. 2000. Space-time rainfall organization and its role in validating quantitative precipitation forecasts. Journal of Geophysical Research 105: 10129-10146.