The aim of the project is to identify atmospheric visibility change predictors on a hourly time scale, among multi-sensor observation data sets,
including ground-based instruments and satellites. The project involved the collaboration of CNRS and HYGEOS.
Assistance tool for fog formation nowcasting on a site
shows the evolution of local observed parameters in real time,
shows the evolution of the regional cloud cover observed by satellite,
shows results of weather modelling for the site,
identifies the fog formation type,
computes fog formation probability according to 6 observed predictors [ Elias et al., 2017 ].
Six predictors were selected [ Elias et al., 2017 ], from several parameters which can be observed operationally in an airport:
visibility level and change in time;
local and regional cloud cover observed by satellite and ceilometer;
vertical gradient of temperature.
We also conducted a study on the impact of the hydrated aerosols composing the mist: they can have a significant impact in radiative transfer in the fog
as they contribute by ~20% in the visibility drop at the fog formation [ Elias et al., 2009; Elias et al., 2015 ].
Funder: DGA via the RAPID scheme Duration: 2010 - 2013 Contact at Hygeos:Thierry Elias