Abstract
Numerical experiments are performed with a comprehensive one-dimensional boundary layer/fog model to assess the impact of vertical resolution on explicit model forecasts of an observed fog layer. Two simulations were performed, one using a very high resolution and another with a vertical grid typical of current high-resolution mesoscale models. Both simulations were initialized with the same profiles, derived from observations from a fog field experiment. Significant differences in the onset and evolution of fog were found. The results obtained with the high-resolution simulation are in overall better agreement with available observations. The cooling rate before the appearance of fog is better represented, while the evolution of the liquid water content within the fog layer is more realistic. Fog formation is delayed in the low resolution simulation, and the water content in the fog layer shows large-amplitude oscillations. These results show that the numerical representation of key thermo-dynamical processes occurring in fog layers is significantly altered by the use of a grid with reduced vertical resolution.
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References
Bechtold, P., Krueger, S. K., Lewellen, W. S., van Meijgaard, D., Moeng, C.-H., Randall, D. A., van Ulden, A., and Wang, S. (1996), Modeling a stratocumulus-topped PBL: Intercomparison among different one-dimensional codes and with large eddy simulation, Bull. Am. Meteor. Soc. 77(9), 2033–2042.
Benjamin, S. G., Grell, G. A., Brown, J. M., and Smirnova, T. G. (2004), Mesoscale weather prediction with the RUC Hybrid Isentropic—Terrain-Following Coordinate Model, Mon. Wea. Rev. 132, 473–494.
Bergot, T. and Guédalia, D. (1994), Numerical forecasting of radiation fog. Part I: Numerical model and sensitivity tests, Mon. Wea. Rev. 122, 1218–1230.
Bergot, T., Carrer, D., Noilhan, J., and Bougeault, P. (2005), Improved site-specific numerical prediction of fog and low clouds: A feasibility study, Wea. Forecasting 20, 627–646.
Bergot, T. (2007), Quality assessment of the Cobel-Isba numerical forecast system of fog and low clouds, Pure Appl. Geophys. 1646/7, this issue.
Bott, A. and Trautmann, T. (2002), PAFOG — A new efficient forecast model of radiation fog and low-level stratiform clouds, Atmos. Res. 64, 191–203.
Bougeault, P. and Lacarrère P. (1989), Parameterization of orography-induced turbulence in a mesobeta scale model. Mon. Wea. Rev. 117, 1872–1890.
Brown, R. and Roach, W. T. (1976), The physics of radiation fog: Part II — A numerical study. Quart. J. Roy. Meteor. Soc. 102, 335–354.
Clark, P. A. and Hopwood, W. P. (2001), One-dimensional site-specific forecasting of radiation fog. Part I: Model formulation and idealized sensitivity studies, Meteor. Appl. 8, 279–286.
Colby, F. P. (2004), Simulation of the New England sea breeze: The effect of grid spacing, Wea. Forecasting 19, 277–285.
Delage, Y. (1974), A numerical study of the nocturnal boundary layer, Quart. J. Roy. Meteor. Soc. 100, 351–364.
Durran, D. and Klemp, J. B. (1982), On the effects of moisture on the Brunt-Väisälä frequency, J. Atmos. Sci. 39, 2152–2158.
Estournel, C. and Guédalia, D. (1987), A new parameterization of eddy diffusivities for nocturnal boundary layer modeling, Bound.-Layer Meteor. 39, 191–203.
Fouquart, Y. and Bonnel, B. (1980), Computations of solar heating of the earth’s atmosphere: A new parameterization, Beit. zur Phys. der Atmosphäre 53, 35–62.
Guädalia, D. and Bergot, T. (1994), Numerical forecasting of radiation fog. Part II: A comparison of numerical simulation with several observed fog events, Mon. Wea. Rev. 122, 1231–1246.
Ha, K.-J., and Mahrt, L. (2003), Radiative and turbulent fluxes in the nocturnal boundary layer, Tellus 55A, 317–327.
Kunkel, B.A. (1984), Parameterization of droplet terminal velocity and extinction coefficient in fog models, J. Climate Appl. Meteor. 23, 34–41.
Mahrt, L. and Pan, H.-L. (1984), A two-layer model of soil hydrology, Bound.-Layer Meteor. 29, 1–20.
Mass, C. F., Ovens, D., Westrick, K., and Colle, B. A. (2002), Does increasing horizontal resolution produce more skillful forecasts? Bull. Am. Meteor. Soc. 83, 407–430.
Pagowski, M., Gultepe, I., and King, P. (2004), Analysis and modeling of an extremely dense fog event in Southern Ontario, J. Appl. Meteor. 43, 3–16.
Peters-Lidard, C. D., Blackburn, E., Liang, X., and Wood, E. F. (1998), The effect of soil thermal conductivity parameterization of surface energy fluxes and temperatures, J. Atmos. Sci. 55, 1209–1224.
Räisanen, P. (1996), The effect of vertical resolution on clear-sky radiation calculations: Test with two schemes. Tellus 48A, 403–423.
Roach, W. (1995), Back to basics: Fog: Part 2 — The formation and dissipation of land fog, Weather, 50, 7–11.
Vehil, R., Monneris, J., Guédalia, D., and Sarthou, P. (1989), Study of the radiative effects (long-wave and short-wave) within a fog layer, Atmos. Res. 23, 179–194.
Weisman, M. L., Skamarock, W. C., and Klemp, J. B. (1997), The resolution dependence of explicity modeled convective systems, Mon. Wea. Rev. 125, 527–548.
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Tardif, R. (2007). The Impact of Vertical Resolution in the Explicit Numerical Forecasting of Radiation Fog: A Case Study. In: Gultepe, I. (eds) Fog and Boundary Layer Clouds: Fog Visibility and Forecasting. Pageoph Topical Volumes. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8419-7_8
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DOI: https://doi.org/10.1007/978-3-7643-8419-7_8
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