Fog and Boundary Layer Clouds

1. Front Matter

   Pages N1-N7

   PDF

2. Fog and Boundary Layer Clouds: Introduction

   • I. Gultepe

   Pages 1115-1116

3. Obituary

   • Robert Tardif

   Pages 1117-1119

4. Fog Research: A Review of Past Achievements and Future Perspectives

   • I. Gultepe, R. Tardif, S.C. Michaelides, J. Cermak, A. Bott, J. Bendix et al.

   Pages 1121-1159

5. Microphysical Observations and Mesoscale Model Simulation of a Warm Fog Case during FRAM Project

   • I. Gultepe, J.A. Milbrandt

   Pages 1161-1178

6. Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study

   • Jan Cermak, Jörg Bendix

   Pages 1179-1192

7. Inferring Low Cloud Base Heights at Night for Aviation Using Satellite Infrared and Surface Temperature Data

   • Gary P. Ellrod, Ismail Gultepe

   Pages 1193-1205

8. Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data

   • Vincent Guidard, Diane Tzanos

   Pages 1207-1220

9. The Impact of Vertical Resolution in the Explicit Numerical Forecasting of Radiation Fog: A Case Study

   • Robert Tardif

   Pages 1221-1240

10. A One-dimensional Ensemble Forecast and Assimilation System for Fog Prediction

    • M.D. Müller, C. Schmutz, E. Parlow

    Pages 1241-1264

11. Quality Assessment of the Cobel-Isba Numerical Forecast System of Fog and Low Clouds

    • Thierry Bergot

    Pages 1265-1282

12. Seasonal Sensitivity on COBEL-ISBA Local Forecast System for Fog and Low Clouds

    • Stevie Roquelaure, Thierry Bergot

    Pages 1283-1301

13. Can Sea Fog be Inferred from Operational GEM Forecast Fields?

    • Lorenzo De La Fuente, Yves Delage, Serge Desjardins, Allan MacAfee, Garry Pearson, Harold Ritchie

    Pages 1303-1325

14. Implementation of a Single-Column Model for Fog and Low Cloud Forecasting at Central-Spanish Airports

    • Enric Terradellas, Darío Cano

    Pages 1327-1345

15. Synoptic Classification and Establishment of Analogues with Artificial Neural Networks

    • S.C. Michaelides, F. Liassidou, C.N. Schizas

    Pages 1347-1364

16. Probabilistic Visibility Forecasting Using Neural Networks

    • John Bjørnar Bremnes, Silas Chr. Michaelides

    Pages 1365-1381

17. Climatological Tools for Low Visibility Forecasting

    • Otto Hyvärinen, Jukka Julkunen, Vesa Nietosvaara

    Pages 1383-1396

18. Marine Layer Stratus Study

    • Leonard A. Wells

    Pages 1397-1421

The e?ect of fog on human life was recognized in the early ages of mankind but its impact has signi?cantly increased during recent decades due to increasing air, marine, and road tra?c. In fact, the ?nancial and human losses related to fog and low visibility became comparable to the losses from other weather events, e.g., tornadoes or, in some situations, even hurricanes. The purpose of this review is to summarize the earlier works on fog and to lay a basis for the articles presented in this special issue and outline perspectives for future fog research. The earliest works on fog can be traced back to Aristotle’s Meteorologica (284– 322 B.C.). These were extensively referenced by NEUMANN (1989) in his study of early works on fog and weather. This paragraph is mainly based on his detailed work. In the English translation by H.D.P. Lee (1962, ARISTOTLE), a statement is given on the relationship between fog and good weather. Also, NEUMANN (1989) relates a poem by ARATUS (315–240 B.C.), which was referred to as Prognostication Through Weather Signs, in an English translation by G.R. Mair (ARATUS, 1921).

• Climatology
• Cloud
• Fog
• Meteorology
• Scale
• Weather forecasting
• clouds
• forecasting
• geophysics
• remote sensing
• satellite
• temperature
• hydrogeology

• Cloud Physics and Severe Weather Research Section Science and Technology Branch, Environment Canada, Toronto, Canada

  Ismail Gultepe

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