The role of turbulent heat flows of the atmospheric boundary layer in the formation of radiation fogs
Abstract
Introduction. The article presents an approach to forecasting the evolution of radiation fog by determining the turbulent heat fluxes in the fog formation layer. Utilizing high temporal resolution data from atmospheric radio sondes at Lindenberg station, a database of radiation fog cases has been established. Based on the frequency of different types of stratification of the atmospheric boundary layer, it has been found that the formation of radiation fog is associated with the development of a near-surface inversion layer, where the upper boundary fluctuates between 200 and 800 meters.
The aim of the study. The purpose of the work is to determine the role of turbulent heat flows in the boundary layer of the atmosphere in the formation of radiation fogs and their influence on the temporal evolution of fogs in order to evaluate the use of their characteristics as a prognostic criterion.
Relevance of the research. Stems from the need to develop new effective approaches to fog forecasting at the local level, using highly informative predictors available in operational practice with further integration of the resulting techniques into specialized platforms. In addition to the already worked out predictors (synoptic situation, cloudiness, wind, humidity), the formation and evolution of radiation fogs are influenced by turbulent flows of heat and moisture in the boundary layer of the atmosphere, which are a relatively little-studied but important factor in improving the effectiveness of their forecasting
Analysis of recent research and publications. The forecast for the formation of radiation fog typically involves comparing the minimum air temperature with the temperature needed for fog formation. While the forecast for the former is generally well-developed, challenges in predicting the latter primarily stem from the need to determine the additional decrease in temperature (after it reaches the dew point temperature around sunset) that is necessary for the condensation of a specific amount of water per unit volume of air, which will ensure that the critical value of horizontal visibility is achieved.
Highlighting previously unsolved problems. Thus, the specified criterion likely enables the forecasting of fog evolution, as visibility fluctuations within it are associated with the vertical restructuring of temperature-humidity stratification. Prior to the formation of fog and at the beginning of its existence, condition (2) is satisfied, leading to the development of a surface inversion, a deterioration of visibility near the ground, and, at the same time, a reduction in the effective radiation of the underlying surface.
Results and discussion. The choice of the procedure for calculating the turbulence coefficient for fog cases should consider the characteristics of the synoptic situations favorable for their formation and the temperature stratification in the atmospheric boundary layer. Determining the turbulence coefficient for cases of radiation fog formation should ideally be conducted for a layer whose thickness encompasses the entire near-surface stabilizing layer (excluding the surface layer). The criterion for determining its upper boundary is proposed to be the averaged values of the upper limits of the stabilizing layers in the presence of radiation fogs.
Downloads
References
Hrushevsky O., Mishchenko O.N. (2023). Forecast of low cloudiness and fog. Study guide. ODEkU, electronic ver-sion, 128. [in Ukrainian]
Efimov V.A., Grushevsky O.N. (2007). On the role of the underlying surface in the formation of atmospheric mesoscale processes over the northern Black Sea region. Bulletin of the Odessa National University. Mechnikova, 12 (8), 80-85.
Koshelenko I.V. (1977). Fogs Proceedings. UkrNIGMI, 155 –215.
Dejmal, K., Repal, V. (2010). Implementation of methods for the radiation fog prediction. – International Journal of Energyand Environment, 4(3), 79-87.
D. Y. Liu, W. L. Yan, S. J. Yang, M. J. Pu, Z. H. Li Niu A. (2016). Study of the physical processes of an advection fog boundary layer. Boundary Layer Meteorology, 158 (1), 125-138.
Liu M., Yan W. L., Zhang B. (2014). Analysis on persistence and intensification mechanism of fog and haze in Jiangsu in January. Meteorological Monthly, 40, 835-843.
Roach, W.T., Back to basics: (1995). Fog. The formation and dissipation of land fog. Weather, 2(50), 7-11.
Stolaki S., Haeffelin M., Lac J.-C. C. (2015). Influence of aerosols on the life cycle of a radiation fog event. A nu-merical and observational study. Atmospheric Research, 151, 146–161.
Li Z. H., Liu D. Y., Yang J. (2011). The microphysical processes and macroscopic conditions of the radiation fog droplet spectrum broadening. Chinese Journal of Atmospheric Sciences, 35, 41–54.
Leichtman D.L. (1956) Some properties of the atmospheric boundary layer. Proceedings of GGO, 56.
Gultepe, I., Tardif, R., Michaelides, S., Cermak, J., Bott, A., Bendix, J., Muller, M.D., Pagowski, M., Hansen, B., Ellrod, G., Jacobs, W., Toth, G. and Cober, S.G. (2007). Fog research: a review of past achievements and future per-spectives. Pure and Applied Geophysics. 164(6-7), 1121–1159. https://doi.org/10.1007/s00024-007-0211-x
Saunders, W.E., (1950). A method of forecasting the temperature of fog formation. Meteorological Society, 76, 2403-2413.
Thierry B., Renaud L. (2019). On the predictability of radiation fog formation in a mesoscale model: a case study in heterogeneous terrain. Atmosphere, 10, 165. https://doi.org/10.3390/atmos10040165
Price J.D. (2011). Radiation fog. Part I. Observations of stability and drop size distributions. Boundary Layer Me-teorology., 167–191. https://www.proquest.com/docview/859504087
Ismail Gultepe. (2012). Fog and Boundary Layer Clouds: Fog Visibility and Forecasting, 1121-1159.
Lang, H.; Qin, K.; Yuan, L.; Xiao, X.; Hu, Y.; Rao, L.; Wang, L. (2016) Particle size distributions and aerosol optical properties during haze–fog episodes in the winter of Xuzhou. China Environ, 36, 2260–2269.
Yang, Y.; Gao, S. (2020). The Impact of Turbulent Diffusion Driven by Fog-Top Cooling on Sea Fog Development. J. Geophys. Res. Atmos. https://doi.org/10.1029/2019JD031562
Niu, S., C. Lu, H. Yu, L. Zhao, J. Lu. (2010). Fog research in China: an overview. Adv Atmos Sci, 27(3), 639 – 662. https://doi.org/10.1007/s00376-009-8174-8
Lakra K, Avishek K. A. (2022). Review on factors influencing fog formation, classification, forecasting, detection and impacts. Rend Lincei Sci Fis Nat., 33(2), 319-353. https://doi.org/10.1007/s12210-022-01060-1
Stolaki, S., Pytharoulis, I. and Karacostas, T. A. (2012). Study of fog characteristics using a coupled WRF–COBEL model over Thessaloniki airport, Greece. Pure and Applied Geophysics., 169(5-6), 961–981. https://doi.org/10.1007/s00024-011-0393-0