Editorial Type:
Article
Article Type:
Research Article

Fog Forecasting for the Southern Region: A Conceptual Model Approach

Paul J. Croft Jackson State University, Jackson, Mississippi

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Russell L. Pfost National Weather Service, Jackson, Mississippi

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Jeffrey M. Medlin National Weather Service, Mobile, Alabama

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G. Alan Johnson National Weather Service, Slidell, Louisiana

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Print Publication:
01 Sep 1997
DOI:
https://doi.org/10.1175/1520-0434(1997)012<0545:FFFTSR>2.0.CO;2
Page(s):
545–556
Restricted access

Abstract

The prediction of fog occurrence, extent, duration, and intensity remains difficult despite improvements in numerical guidance and modeling of the fog phenomenon. This is because of the dependency of fog on microphysical and mesoscale processes that act within the boundary layer and that, in turn, are forced by the prevailing synoptic regime. Given existing and new technologies and techniques already available to the operational forecaster, fog prediction may be improved by the development and application of a simple conceptual model. A preliminary attempt at such a model is presented for the southern region of the United States (gulf coastal states) and requires information regarding cloud condensation nuclei, moisture availability (or saturation), and dynamic forcing. Each of these factors are assessed with regard to their extent and evolution with time. An illustration, and potential application, of how the model could be used is detailed as no extensive operational testing has yet been completed. Instead, the model is applied in hindcast to verify its application. Successful use of the model will require an operational forecaster to assimilate all available tools including climatology, numerical guidance, sounding analysis, model diagnostic software, and satellite imagery. These must be used to characterize and quantify the nature of the local and regional boundary layer in the forecast region according to macroscale forcing and moisture availability, the initial local settings and boundary layer, qualitative assessment of cloud condensation nuclei, and the interaction of these in time and space. Once identified, the evolution of the boundary layer may be forecast with regard to the overall environment for fog occurrence, its likely extent, intensity, and duration.

Corresponding author address: Dr. Paul J. Croft, Department of Physics and Atmospheric Sciences, Jackson State University, 1400 J. R. Lynch Street, P.O. Box 17660, Jackson, MS 39217-0460.

Email: pcroft@stallion.jsums.edu

Abstract

The prediction of fog occurrence, extent, duration, and intensity remains difficult despite improvements in numerical guidance and modeling of the fog phenomenon. This is because of the dependency of fog on microphysical and mesoscale processes that act within the boundary layer and that, in turn, are forced by the prevailing synoptic regime. Given existing and new technologies and techniques already available to the operational forecaster, fog prediction may be improved by the development and application of a simple conceptual model. A preliminary attempt at such a model is presented for the southern region of the United States (gulf coastal states) and requires information regarding cloud condensation nuclei, moisture availability (or saturation), and dynamic forcing. Each of these factors are assessed with regard to their extent and evolution with time. An illustration, and potential application, of how the model could be used is detailed as no extensive operational testing has yet been completed. Instead, the model is applied in hindcast to verify its application. Successful use of the model will require an operational forecaster to assimilate all available tools including climatology, numerical guidance, sounding analysis, model diagnostic software, and satellite imagery. These must be used to characterize and quantify the nature of the local and regional boundary layer in the forecast region according to macroscale forcing and moisture availability, the initial local settings and boundary layer, qualitative assessment of cloud condensation nuclei, and the interaction of these in time and space. Once identified, the evolution of the boundary layer may be forecast with regard to the overall environment for fog occurrence, its likely extent, intensity, and duration.

Corresponding author address: Dr. Paul J. Croft, Department of Physics and Atmospheric Sciences, Jackson State University, 1400 J. R. Lynch Street, P.O. Box 17660, Jackson, MS 39217-0460.

Email: pcroft@stallion.jsums.edu

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  • Ackerman, A. S., O. B. Toon, and P. V. Hobbs, 1995: A model for particle microphysics, turbulent mixing, and radiative transfer in the stratocumulus-topped marine boundary layer and comparisons with measurements. J. Atmos. Sci.,52, 1204–1236.

    • Crossref
    • Export Citation

  • Bacinschi, D., and L. M. Filip, 1976: Forecasting nomogram for meteorological visibility. Meteor. Hydrol.,1, 33–38.

  • Barker, E. H., 1977: Maritime boundary-layer model for the prediction of fog. Bound.-Layer. Meteor.,11, 267–294.

    • Crossref
    • Export Citation

  • Bergot, T., and D. Guedalia, 1994: Numerical forecasting of radiation fog. Part I: Numerical model and sensitivity tests. Mon. Wea. Rev.,122, 1218–1230.

  • Burroughs, L. D., and J. C. Alpert, 1993: Numerical fog and visibility guidance in coastal regions. Tech. Procedures Bull. 398, 8 pp. [Available from Environmental Science Information Center, NOAA, U.S. Dept. of Commerce, 3300 Whitehaven St. N.W., Washington, DC 20235.].

  • Croft, P. J., D. Darbe, and J. Garmon, 1995: Forecasting significant fog in southern Alabama. Natl. Wea. Dig.,19, 10–16.

  • Dornan, C. E., E. Maturi, and J. Steger, 1989: Detection of fog at night using dual channel GOES-VAS imagery. Preprints, 12th Conf. on Weather Analysis and Forecasting, Monterey, CA, Amer. Meteor. Soc., 515–520.

  • Ellrod, G. P., 1995: Advances in the detection and analysis of fog at night using GOES multispectral infrared imagery. Wea. Forecasting,10, 606–619.

  • Forkel, R., and W. Zdunkowski, 1986: Two-dimensional numerical model for fog forecasting. Ann. Meteor.,23, 46–47.

  • Fuelberg, H. E., P. A. Rao, and D. W. Hillger, 1995: Clustering of satellite sounding radiances to investigate low-level humidity gradients. J. Appl. Meteor.,34, 1525–1535.

    • Crossref
    • Export Citation

  • Garmon, J. F., D. L. Darbe, and P. J. Croft, 1996: Forecasting significant fog on the Alabama coast: Impact climatology and forecast checklist development. NWS Tech. Memo. NWS SR-176, 16 pp. [Available from Scientific Services Division, Southern Region NWS, 819 Taylor Street, Room 10A23, Fort Worth, TX 76102.].

  • Garner, T., and B. Batson, 1995: Use of NGM regional profile for fog forecasting for space shuttle landing operations at KSC. Preprints, Sixth Conf. on Aviation Weather Systems, Dallas, TX, Amer. Meteor. Soc., 189–191.

  • George, J. J., 1960: Weather Forecasting for Aeronautics. Academic Press, 673 pp.

  • Gimmestad, C., 1993: A statistical forecasting method for fog at Olympia, Washington. Western Region Technical Attachment 93-15, 6 pp. [Available from Environmental Science Information Center, NOAA, U.S. Dept. of Commerce, 3300 Whitehaven St. N.W., Washington, DC 20235.].

  • Golding, B. W., 1993: A study of the influence of terrain on fog development. Mon. Wea. Rev.,121, 2529–2541.

    • Crossref
    • Export Citation

  • Gurka, J. J., 1978: Use of enhanced VIS imagery for fog detection and prediction. National Environmental Satellite Services. Satellite Applications Information Note 78/4, 6 pp. [Available from Satellite Applications Laboratory, U.S. Dept. of Commerce, NOAA/NESDIS, Washington, DC 20233.].

  • Hart, J. A., and W. Korotky, 1991: The SHARP workstation, version 1.50—A skew-t hodograph analysis and research program for the IBM compatible PC. NOAA/NWS, Charleston, WV, 30 pp. [Available from Scientific Services Division, Southern Region NWS, 819 Taylor Street, Room 10A23, Fort Worth, TX 76102.].

  • Houghton, D. D., Ed., 1985: Handbook of Meteorology. John Wiley and Sons, 1461 pp.

  • Huschke, R. E., Ed., 1959: Glossary of Meteorology. Amer. Meteor. Soc., 638 pp.

  • Jiusto, J. E., 1981: Fog structure. Clouds, Their Formation, Optical Properties and Effect, P. V. Hobbs and A. Deepak, Eds., Academic Press, 495 pp.

    • Crossref
    • Export Citation

  • Johnson, G. A., and J. Graschel, 1992: Sea fog and stratus: A major aviation and marine hazard in the northern Gulf of Mexico. Preprints, Symp. on Weather Forecasting, Atlanta, GA, Amer. Meteor. Soc., 55–60.

  • ——, and R. Rabin, 1993: Highlights of return flow events from the Gulf of Mexico during 1989–1992 winters—A forecasting perspective. Preprints, 13th Conf. on Weather Analysis and Forecasting, Vienna, VA, Amer. Meteor. Soc., 135–138.

  • Leipper, D. F., 1994: Fog on the U.S. west coast: A review. Bull. Amer. Meteor. Soc.,75, 229–240.

    • Crossref
    • Export Citation

  • ——, 1995: Fog forecasting objectively in the California coastal area using LIBS. Wea. Forecasting,10, 741–762.

  • Lutgens, F. K., and E. J. Tarbuck, 1995: The Atmosphere. Prentice-Hall, 462 pp.

  • Martin, M. D., and P. W. Suckling, 1987: Winter fog and air transportation in Sacramento, California. Climatol. Bull.,21, 16–22.

  • Meyer, M. B., and G. G. Lala, 1990: Climatological aspects of radiation fog occurrence at Albany, New York. J. Climate,3, 577–586.

    • Crossref
    • Export Citation

  • Neuberger, H., 1957: Introduction to Physical Meteorology. The Pennsylvania State University, 271 pp.

  • Stephens, P., 1993: Report to the National Science Foundation of a workshop on the role of clouds in climate. Reno, NV, 1–7. [Available from National Science Foundation, Office of NOAA Programs, Arlington, VA 22230.].

  • Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer Academic, 666 pp.

    • Crossref
    • Export Citation

  • Twohy, C. H., P. A. Durkee, B. J. Huebert, and R. J. Charlson, 1995: Effects of aerosol particles in the microphysics of coastal stratiform clouds. J. Climate,8, 773–783.

  • UCAR, 1991: Forecast process. Forecaster’s Multimedia Library, Cooperative Program for Operational Meteorology, Education, and Training, University Corporation for Atmospheric Research, Boulder, CO.

  • Wayne, R. P., 1993: Chemistry of Atmospheres. Clarendon Press, 447 pp.

  • Young, K. C., 1993: Microphysical Processes in Clouds. Oxford University Press, 427 pp.

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