engleski

Improvement of radiation fog prediction using recent development of turbulence closure parameterizations

Fog is an elusive process with complex interplay of surface energy balance, thermodynamic, radiation, microphysics, and turbulence. Consequently, fog predictions require high-resolution models and detailed physical parameterizations. A study using the regional Eta model driven by ECMWF ensemble has been conducted to investigate formation, evolution, and dissipation of radiation fog over plain terrain. A series of sensitivity tests of turbulence closure schemes on prediction accuracy for a case study was verified based on data about liquid water content, temperature and wind speed. Preliminary results show that the improved formulation of the turbulence length scale calibrated using large-eddy simulation significantly improves prediction accuracy. This length scale increases realistically for decreasing stability which is crucial for conditions conducive to fog formation.

Paris fog ; radiative fog ; ensemble forecasting ; fog turbulence

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