Skill of a ceiling and visibility Local ensemble Prediction System (LEPS) according to fog-type prediction at Paris-Charles de Gaulle Airport

Weather and Forecasting

Volumn 24, Issue 6, 2009, Pages 1511-1523

  Roquelaure, Stevie ^a   Tardif, Robert ^b   Remy, Samuel ^c   Bergot, Thierry ^c  

^a TOHOKU UNIVERSITY   (Japan)

^b ENVIRONMENT CANADA   (Canada)

^c GAME/CNRM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADVECTION FOG; AIR TRAFFICS; ECONOMIC ISSUES; ENSEMBLE PREDICTION SYSTEMS; EVENT-BASED; LOW-VISIBILITY PROCEDURES; PARIS , FRANCE; POOR VISIBILITY; RADIATION FOG; SHORT-TERM FORECASTS; WINTER SEASONS;

ADVECTION; AIRCRAFT LANDING SYSTEMS; AIRPORTS; CLOUDS; VISIBILITY;

FOG;

ADVECTION; AIRPORT; ENSEMBLE FORECASTING; ESTIMATION METHOD; FOG; WEATHER FORECASTING; WINTER;

FRANCE; ILE DE FRANCE; PARIS; VILLE DE PARIS;

EID: 74549128050     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009WAF2222213.1     Document Type: Article

References (28)

1. Arya, P.A., 2001: Introduction to Micrometeorology. 2nd ed. Academic Press, 420 pp.
2. Baars, J.A., M. Witiw, and A. Al-Habash, 2003: Determining fog type in the Los Angeles basin using historic surface observation data. Preprints, 16th Conf. on Probability and Statistics in the Atmospheric Sciences/13th Symp. on Global Change and Climate Variations, Long Beach, CA, Amer. Meteor. Soc., J3.8. [Available online at http://ams.confex.com/ams/pdfpapers/29133.pdf.].
3. Baker, R., J. Cramer, and J. Peters, 2002: Radiation fog: UPS Airlines conceptual models and forecast methods. Preprints, 10th Conf. on Aviation, Range, and Aerospace Meteorology, Portland, OR, Amer. Meteor. Soc., 154-159.
4. Bergot, T., 1993: Modélisation du brouillard à l'aide d'un modèle 1D forcé par des champs mésoéchelle: Application à la prévision (Fog modelization using 1D model forced by mesoscale forcings: Forecasting applications) Ph.D. thesis 1546, Université Paul Sabatier, Toulouse, France, 192 pp. [Available from CNRM, Météo-France, 42 Ave. Coriolis, 31057 Toulouse CEDEX, France.].
5. Bergot, T., 2007: Quality assessment of the Cobel-Isba numerical forecast system of fog and low clouds. J. Pure Appl. Geophys., 164, 1265-1282.
6. Bergot, T., and D. Guédalia, 1994: Numerical forecasting of radiation fog. Part I: Numerical model and sensitivity tests. Mon. Wea. Rev., 122, 1218-1230.
7. Bergot, T., D. Carrer, J. Noilhan, and P. Bougeault, 2005: Improved sitespecific numerical prediction of fog and low clouds: A feasibility study. Wea. Forecasting, 20, 627-646.
8. Boone, A., V. Masson, T. Meyers, and J. Noilhan, 2000: The influence of the inclusion of soil freezing on simulations by a soil-vegetation-atmosphere transfer scheme. J. Appl. Meteor., 9, 1544-1569.
9. Bremnes, J.B., and S.C. Michaelides, 2007: Probabilistic visibility forecasting using neural networks. Pure Appl. Geophys., 164, 1365-1381.
10. Brier, G.W., 1950: Verification of forecasts expressed in terms of probability. Mon. Wea. Rev., 78, 1-3.
11. Buizza, R., 2001: Accuracy and potential economic value of categorical and probabilistic forecasts of discrete events. Mon. Wea. Rev., 129, 2329-2345.
12. Fabbian, D., R. De Dear, and S. Lellyett, 2007: Application of artificial neural network forecasts to predict fog at Canberra International Airport. Wea. Forecasting, 22, 372-381.
13. Glahn, H.R., and D.A. Lowry, 1972: The use of model output statistics (MOS) in objective weather forecasting. J. Appl. Meteor., 11, 1203-1211.
14. Hamill, T.M., 2007: Comments on "Calibrated surface temperature forecasts from the Canadian Ensemble Prediction System using Bayesian model averaging." Mon. Wea. Rev., 135, 4226-4230.
15. Koziara, M.C., J.R. Robert, and W.J. Thompson, 1983: Estimating marine fog probability using a model output statistics scheme. Mon. Wea. Rev., 111, 2333-2340.
16. Marzban, C., S. Leyton, and B. Colman, 2007: Ceiling and visibility via neural networks. Wea. Forecasting, 22, 466-479.
17. Meyer, M.B., and G.G. Lala, 1990: Climatological aspects of radiation fog occurrence at Albany, New York. J. Climate, 3, 577-586.
18. Petterssen, S., 1969: Introduction to Meteorology. 3rd ed. McGraw-Hill, 333 pp.
19. 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.
20. Richardson, D.S., 2000: Skill and economic value of the ECMWF Ensemble Prediction System. Quart. J. Roy. Meteor. Soc., 126, 649-668.
21. Roquelaure, S., and T. Bergot, 2007: Seasonal sensitivity on COBEL-ISBA local forecast system for fog and low clouds. J. Pure Appl. Geophys., 164, 1283-1301.
22. Roquelaure, S., and T. Bergot, 2008: A Local Ensemble Prediction System (L-EPS) for fog and low clouds: Construction, Bayesian model averaging calibration, and validation. J. Appl. Meteor. Climatol., 47, 3072-3088.
23. Roquelaure, S., and T. Bergot, 2009: Contributions from a Local Ensemble Prediction System (LEPS) at improving fog and low clouds forecasts on airports. Wea. Forecasting, 24, 39-52.
24. Tardif, R., and R.M. Rasmussen, 2007: Event-based climatology and typology of fog in the New York region. J. Appl. Meteor. Climatol., 46, 1141-1168.
25. Tardif, R., and R.M. Rasmussen, 2008: Process-oriented analysis of environmental conditions associated with precipitation fog events in the New York city region. J. Appl. Meteor. Climatol., 47, 1681-1703.
26. Vehil, R., J. Monneris, D. Guédalia, and P. Sarthou, 1989: Study of radiative effects (long-wave and short-wave) within a fog layer. Atmos. Res., 23, 179-194.
27. Wilson, L.J., S. Beauregard, A.E. Raftery, and R. Verret, 2007: Calibrated surface temperature forecasts from the Canadian Ensemble Prediction System using Bayesian model averaging. Mon. Wea. Rev., 135, 1364-1385.
28. Zhou, B., J. Du, B. Ferrier, J. McQueen, and G. Dimego, 2007: Numerical forecast of fog Central solutions. Preprints, 18th Conf. on Numerical Weather Prediction, Park City, UT, Amer. Meteor. Soc., 8A.6. [Available online at http://ams.confex.com/ams/pdfpapers/123669.pdf.].