Ceiling and Visibility Articles

  1. AVN MOS Graphics, http://www.nws.noaa.gov/mdl/forecast/graphics/MAV
  2. Allan, S. S., Gaddy, S. G., and Evans, J. E. 2001: Delay causality and reduction at the New York City airports using terminal weather information systems, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Mass.
  3. Aviation Weather Center, Kansas City, http://aviationweather.gov
  4. Aviation Weather Research Program, http://www.faa.gov/aua/awr
  5. Meeting in Boston Massachusetts, November 2002, http://www.rap.ucar.edu/general/awrp_pmr2002
  6. David Bacon, Zafer Boybeyi, and R. Ananthakrishna Sarma, 2002: Aviation forecasting using adaptive unstructured grids, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  7. Randy Baker, Jim Cramer, and Jeff Peters, 2002: Radiation fog: UPS Airlines conceptual models and forecast methods, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  8. Bocchieri, Joseph R., Harry R. Glahn, 1972: Use of Model Output Statistics for Predicting Ceiling Height, Monthly Weather Review: Vol. 100, No. 12, pp. 869-879.
  9. Bocchieri, Joseph R., Richard L. Crisci, Harry R. Glahn, Frank Lewis, Frank T. Globokar,1974: Recent Developments in Automated Prediction of Ceiling and Visibility, Journal of Applied Meteorology: Vol. 13, No. 2, pp. 277-287.
  10. Pierre Bourgouin, Jacques Montpetit, Richard Verret, and Laurence Wilson, 2002: TAFTOOLS: Development of objective TAF guidance for Canada - Part one: Introduction and development of the very short-range module, 16th Conference on Probability and Statistics in the Atmospheric Sciences, American Meteorological Society.
  11. Bryan, Joseph G., Isadore Enger, 1967: Use of Probability Forecasts to Maximize Various Skill Scores, Journal of Applied Meteorology: Vol. 6, No. 5, pp. 762-769.
  12. A. Bruce Carmichael, Kevin Petty, Gerry Wiener, Melissa Petty, and Martha Limber, 2000: A fuzzy logic system for the analysis and prediction of cloud ceiling and visibility, Ninth Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society, 331-333.
  13. David Clark, 2002: The 2001 demonstration of automated cloud forecast guidance products for San Francisco International Airport, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  14. Clarke, D. A., 1995: Characterizing the causes of low ceiling and visibility at U.S. airports, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 325-330.
  15. Dallavalle, J. P., and Dagostaro, V. J., 1995: The accuracy of ceiling and visibility forecasts produced by the National Weather Service, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 213-218.
  16. EUMETNET, TIPS (TAF Interactive Production System), http://www.eumetnet.eu.org/conttips.html
  17. Charles J. Fisk, 2004: Two-way (Hour-Month) Time Section Plots as a Tool for Climatological Visualization and Summarization, 14th Conference on Applied Climatology, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  18. Tressa L. Fowler, J. T. Braid, and A. Holmes, 2004: Selecting METARs to verify Ceiling and Visibility Forecasts, 17th Conference on Probablity and Statistics in the Atmospheric Sciences American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  19. Garner, T., 1995: Use of NGM regional profile forecasts for fog forecasting for space shuttle, landing conditions at KSC [Kennedy Space Center], Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 189-191.
  20. Daniel Geiszler, J. Cook, P. Tag, W. Thompson, R. Bankert, and J. Schmidt, 2000: Evaluation of Ceiling and Visibility Prediction: Preliminary Results over the California Coast using COAMPS, Science Applications International Corporation (SAIC).
  21. Shel Gerding and William Myers, 2003: Adaptive data fusion of meteorological forecast modules, 3rd Conference on Artificial Intelligence Applications to Environmental Science, American Meteorological Society.
  22. Harry R. Glahn, 2004: Aviation guidance from the Localized Aviation MOS Program (LAMP), 17th Conference on Probablity and Statistics in the Atmospheric Sciences American Meteorological Society, 11-15 January 2004, Seattle, Washington. http://ams.confex.com/ams/84Annual/techprogram/paper_72258.htm
  23. Gollvik, S., and Olsson, E., 1993: NORTAF: Computer generated aerodrome forecasts, 5th International Conference on Aviation Weather Systems, American Meteorological Society, 335-338.
  24. J. Godau, Cameron Shepherdley, Eugene Tan, and Gregory Whiteley: 2001: AUTOTAF - The design, development and implementation of an automated tool for the production of Terminal Aerodrome Forecasts, 17th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society.
  25. Google, http://www.google.com : ceiling visibility
  26. Bjarne Hansen, 1997-2004: several papers, http://www.cs.dal.ca/~bjarne/papers
  27. Harris Corporation Demonstrates Automated Weather Forecasting Tools During 48th Annual Air Traffic Control Association Meeting, Press Release, Washington, D.C., October 27, 2003. http://www.harris.com/view_pressrelease.asp?act=lookup&pr_id=1245
  28. Glen Harris, 2002: TAF verification, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  29. David Hazen, Thomas Seliga, Leo Jacobs, and Pamela Narvett, 2002: Visibility Variability at the Chicago O'Hare Airport: Insights into the Impacts of Runway Visual Range (RVR) Measurements on Aviation Operations, 18th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology, American Meteorological Society.
  30. Herzegh, P. H., Bankert, R. L., Hansen, B. K., Tryhane, M., and Wiener, G., 2004: Recent progress in the development of automated analysis and forecast products for ceiling and visibility conditions, 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
       – PowerPoint presentation (12 Megabytes)
  31. Paul Herzegh, Stanley Benjamin, Barbara Brown, Roy Rasmussen, Ted Tsui, Gerry Wiener, Peter Zwack, 2003: Development of automated analysis and forecast products for adverse ceiling and visibility conditions, 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society.
  32. Paul Herzegh, Kevin Petty, Stanley Benjamin, Roy Rasmussen, Ted Tsui, Gerry Wiener, and Peter Zwack, 2002: Development of automated national ceiling and visibility products: Scientific and practical challenges, research strategies, and first steps, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  33. Paul Herzegh, 2001: Overview of Activities, FAA National Ceiling and Visibility Product Development Team, online presentation, http://www.rap.ucar.edu/general/awrp_pmr/ncv.pdf
  34. Thomas Hicks, Ted Crawford, and Matthew Wilson, 2003: A fuzzy logic system for automated short term aviation weather forecasts, 3rd Conference on Artificial Intelligence Applications to Environmental Science, American Meteorological Society.
  35. Thomas Hicks, 1997: FuzzyMOS: A Fuzzy Logic System for Objective Aviation Forecasting, NOAA Technical Memo.
  36. Hilliker, Joby L., and J. Michael Fritsch, 1999: An observations-based statistical system for warm-season hourly probabilistic forecasts of low ceiling at the San Francisco International Airport, Journal of Applied Meteorology: Vol. 38, No. 12, 1692-1705.
  37. Albert Jacobs, 1998: First Guess TAF - FGTAF, Semi-automation in TAF production, Applications and Modelling Division KNMI, http://www.knmi.nl/onderzk/applied/am/nl/am_fgtaf_TR-212.html
  38. Keller, J., Smith, C., and Wilson, F. W., 1995: Applications of column models for terminal weather nowcasts, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 66-71.
  39. Kilpinen, J., 1993: The combination of forecasts in an automated aviation weather forecasting system, 5th International Conference on Aviation Weather Systems, American Meteorological Society, 339-340.
  40. Klein, William H., Harry R. Glahn, 1974: Forecasting Local Weather by Means of Model Output Statistics, Bulletin of the American Meteorological Society: Vol. 55, No. 10, pp. 1217-1217.
  41. Klein, William H., 1970: The Forecast Research Program of the Techniques Development Laboratory, Bulletin of the American Meteorological Society: Vol. 51, No. 2, pp. 133-205.
  42. Klein, William H., Billy M. Lewis, Isadore Enger, 1959: Objective Prediction of Five-Day Mean Temperatures During Winter, Journal of the Atmospheric Sciences: Vol. 16, No. 6, pp. 672-682.
  43. Roman Krzysztofowicz, 2004: Bayesian Processor of Output: A New Technique for Probabilistic Weather Forecasting, 17th Conference on Probablity and Statistics in the Atmospheric Sciences, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  44. Gloria J. Kulesa, D. J. Pace, W. L. Fellner, J. E. Sheets, V. S. Travers, and P. J. Kirchoffer, 2004: Improving Aviation Weather Forecasts: The Federal Aviation Administration's Efforts to Enhance Air Traffic Safety and Efficiency, 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  45. Gloria Kulesa, D.J. Pace, W.L. Fellner, J.E. Sheets, V.S. Travers, and P.J. Kirchoffer, 2003: The FAA Aviation Weather Research Program's contribution to air transporation safety and efficiency, 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society.
  46. Kumar, V. R., Chung, C. Y. C., and Lindley, C. A., 1994: Toward building and expert system for weather forecasting operations, Expert Systems with Applications, Vol. 7, No. 2, Permagon, Elsevier Science Ltd., 373-381.
  47. Claude Landry, M. Ouellet, R. Parent, J.-F. Deschênes, and R. Verret, 2004: Observations and Nowcasting in SCRIBE, 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  48. Leigh, R. J., 1995: Economic benefits of Terminal Aerodrome Forecasts (TAFs) for Sydney Airport, Australia, Meteorological Applications, 2, 239-247.
  49. Stephen Leyton and J. Michael Fritsch, 2002: Improved short-term probabilistic forecasts of ceiling and visibility, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  50. Alister Ling, 2002: TAF quality improvement (TQI) efforts in Canada, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  51. Lund, Iver A., Paul Tsipouras, 1982: A Model for Estimating Persistence Probabilities, Journal of Applied Meteorology: Vol. 21, No. 7, pp. 988-994.
  52. Lund, Iver A., Donald D. Grantham, 1979: Estimating Recurrence Probabilities of Weather Events, Journal of Applied Meteorology: Vol. 18, No. 7, pp. 921-930.
  53. MIT Lincoln Laboratory - Ceiling/Visibility Prediction, http://www.ll.mit.edu/AviationWeather/cvp.html (see related articles: http://www.google.com/univ/mit?hl=en&q=ceiling+visibility).
  54. David Manning, Steven Amburn, and James Frederick, 2002: Uses of real-time verification to improve terminal aerodrome forecasts, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  55. Martin, D. E., 1972: Climatic presentations for short-range forecasting based on event occurrence and reoccurrence profiles, Journal of Applied Meteorology, 11, 1212-1223.
  56. Caren Marzban, Steve Leyton, and Brad Colman, 2003: Nonlinear Post-processing of Model Output: Ceiling and Visibility, [project description].
  57. Meyer, W. D., 1995: A hybrid model for predicting fog and stratus clouds, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 441-444.
  58. Jacques Montpetit, Pierre Bourgouin, Laurence Wilson, and Richard Verret, 2002: TAFTOOLS: Development of objective TAF guidance for Canada - Part two: Development of the short-range forecast module and results, 16th Conference on Probability and Statistics in the Atmospheric Sciences, American Meteorological Society. supplementary website: http://arxt27.cmc.ec.gc.ca/TAF
  59. John Mullock and Kent Johnson, 2002: Local aviation weather hazards: How meteorologists learn from pilots, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  60. Jim Murtha, 1995: Applications of fuzzy logic in operational meteorology, Scientific Services and Professional Development Newsletter, Canadian Forces Weather Service, 42-54.
  61. NCAR Cloud Ceiling and Visibility Project, http://www.rap.ucar.edu/projects/cvis (RAP Ceiling and Visibility Forecast Algorithm, http://meted.ucar.edu/dlac/website/rap.htm).
  62. NCEP Short-Range Ensemble Forecasting (SREF), http://wwwt.emc.ncep.noaa.gov/mmb/SREF/SREF.html
  63. NGM MOS Graphics, http://www.nws.noaa.gov/mdl/synop/products/NGM/html
  64. Naegele, P.Stuart, William D. Sellers, 1981: A Study of Visibility in Eighteen Cities in the Western and Southwestern United States, Monthly Weather Review: Vol. 109, No. 11, pp. 2394-2399.
  65. Pagowski, Mariusz, Gultepe, Ismail, King, Patrick. 2004: Analysis and modeling of an extremely dense fog event in southern Ontario, Journal of Applied Meteorology: Vol. 43, No. 1, pp. 316.
  66. Chihchin Pan, Donna Tucker, David Braaten, Peter, Israel Jirak, and David Beusterien, 2000: Improvement of terminal area forecasts, Ninth Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  67. Patton, R., 1996: Analysis of user requirement for commercial/transport aviation, Forecasting Research Technical Report No. 204, Meteorological Office, Bracknell, Berkshire, United Kingdom.
  68. Perrone, Thomas J., Robert G. Miller, 1985: Generalized Exponential Markov and Model Output Statistics: A Comparative Verification, Monthly Weather Review: Vol. 113, No. 9, pp. 1524-1541.
  69. Porter, C. W., and Seaman, N. L., 1995: Short-term high resolution forecasting of cloud ceiling and visibilities, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 331-336.
  70. Steve Ricketts, 2001: Toward Better Aerodrome Forecasts (TAFs), Alberta Aviation Council.
  71. Robert Robichaud, John Mullock, and Kent Johnson, 2002: Local aviation weather hazards of Atlantic Canada, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  72. San Francisco International Airport Marine Stratus Initiative, http://www.ll.mit.edu/AviationWeather/cvp.html (San Francisco Airport Stratus Forecast Algorithm http://meted.ucar.edu/dlac/website/sfo.htm).
  73. Thomas A. Seliga, D. A. Hazen and S. Burnley, 2004: Temporal and spatial behavior of visibility obtained from Runway Visual Range (RVR) sensors during snowfall events at several major airports, 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  74. Shakina, N. P., Ivanova, A. R., Sheveleva, O. V., and Kalugina, G. Yu., 1993: Aviation weather forecasting automated methods in the RAFC Moscow and the Airport Vnukovo, 5th International Conference on Aviation Weather Systems, American Meteorological Society, 341-342.
  75. Short-Term Ceiling and Visibility Forecast Systems, http://meted.ucar.edu/dlac/website/short.htm
  76. Tracy Lorraine Smith, Stan Benjamin, and John Brown, 2002: Visibility forecasts from RUC20, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  77. Henry Stanski, Leganchuk, A., Hanssen, A., Wintjes, D., Abramowski, O., and Shaykewich, J., 1999: NAV CANADA's TAF amendment response time verification , Eighth Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society, 63-67.
  78. Harvey Stern, 2004: Incorporating an ensemble forecasting proxy into a knowledge based system, 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, American Meteorological Society, 11-15 January 2004, Seattle, Washington. [Supplementary website: http://www.weather-climate.com/internetforecasts2.html]
  79. Stern, H., and Parkyn, K., 1999: Predicting the likelihood of fog at Melbourne Airport, Eighth Conference on Aviation, Range, and Aerospace Meteorology, 10-15 January 1999, Dallas, Texas, American Meteorological Society, 174-178.
  80. Sarawut Sujitjorn, Pairoj Sookjaras, and Wongwit Wainikorn, 1994: An expert system to forecast visibility in Don-Muang Air Force Base, 1994 IEEE International Conference on Systems, Man and Cybernetics (Humans, Information and Technology), 2-5 October 1994, IEEE, NY, NY, USA, 2528-2531.
  81. Tardif, Robert, 1992-present: several papers, http://www.rap.ucar.edu/staff/tardif/resume.html and webpage about COBEL: A one-dimensional boundary layer model for ceiling and visibility forecasting, http://www.rap.ucar.edu/staff/tardif/COBEL
  82. Vislocky, Robert L., J. Michael Fritsch, 1997: An Automated, Observations-Based System for Short-Term Prediction of Ceiling and Visibility, Weather and Forecasting: Vol. 12, No. 1, pp. 31-43.
  83. Vislocky, Robert L., J. Michael Fritsch, 1995: Generalized Additive Models versus Linear Regression in Generating Probabilistic MOS Forecasts of Aviation Weather Parameters, Weather and Forecasting: Vol. 10, No. 4, pp. 669-680.
  84. Warner, T. T., and Stoelinga, 1995: Very-very-short-range numerical simulation of ceiling and visibility during an East Coast snowstorm, Preprints of the 6th Conference on Aviation Weather Systems, American Meteorological Society, 141-143.
  85. Allen H. Weber and R. L. Buckley, 2004: Visibility trends for coastal regions, 15th Symposium on Global Change and Climate Variations / 14th Conference on Applied Climatology, American Meteorological Society, 11-15 January 2004, Seattle, Washington.
  86. Bruce Whiffen, Paul Delannoy, Stanislas Siok, 2003: Fog: Impact on Road Transportation and Mitigation Options, presented at 10th World Congress and Exhibition on Intelligent Transportation Systems and Services, 16-20 November 2003, Madrid, Spain.
  87. Whiffen, B., 1993: FTGEN - An automated FT production system, 5th International Conference on Aviation Weather Systems, American Meteorological Society, 327-330.
  88. White, J. F., 1995: Aeronautical meteorology and the International Air Transport Association (IATA), World Meteorological Organization Bulletin, 44 (4), 335-339.
  89. White, P.W., 1987: Impact of weather forecasts on aviation fuel consumption, The Meteorological Magazine, No. 1375, Vol. 115, pg. 29.
  90. F. Wesley Wilson, 2002: Statistical measures of the skill of marine stratus forecast models, 10th Conference on Aviation, Range, and Aerospace Meteorology, American Meteorological Society.
  91. Wilson, L.J., Réal Sarrazin, 1989: A Classical-REEP Short-Range Forecast Procedure, Weather and Forecasting: Vol. 4, No. 4, pp. 502-516.
  92. Peter Zwack, COBEL: Atmospheric boundry layer model, http://people.sca.uqam.ca/~tardif/COBEL/cobel_enter.htm

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Last updated 1 March 2004.

Artificial Intelligence and Meteorology