Articles | Volume 14, issue 12
Atmos. Meas. Tech., 14, 7893–7907, 2021
https://doi.org/10.5194/amt-14-7893-2021
Atmos. Meas. Tech., 14, 7893–7907, 2021
https://doi.org/10.5194/amt-14-7893-2021
Research article
17 Dec 2021
Research article | 17 Dec 2021

PARAFOG v2.0: a near-real-time decision tool to support nowcasting fog formation events at local scales

Jean-François Ribaud et al.

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Cited articles

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Bergot, T., Carrer, D., Noilhan, J., and Bougeault, P.: Improved Site-Specific Numerical Prediction of Fog and Low Clouds: A Feasibility Study, Weather Forecast., 20, 627–646, https://doi.org/10.1175/WAF873.1, 2005. 
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Dietz, S. J., Kneringer, P., Mayr, G. J., and Zeileis, A.: Forecasting Low-Visibility Procedure States with Tree-Based Statistical Methods, Pure Appl. Geophys., 176, 2631–2644, https://doi.org/10.1007/s00024-018-1914-x, 2019. 
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Short summary
PARAFOG is a near-real-time decision tool that aims to retrieve pre-fog alert levels minutes to hours prior to fog onset. The second version of PARAFOG allows us to discriminate between radiation and stratus lowering fog situations. It is based upon the combination of visibility observations and automatic lidar and ceilometer measurements. The overall performance of the second version of PARAFOG over more than 300 fog cases at five different locations presents a good perfomance.