Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …

Atmospheric low-visibility events are usually associated with fog formation. Extreme low-
visibility events deeply affect the air and ground transportation, airports and motor-road …

Atmospheric Extreme Events (EEs) cause severe damages to human societies and
ecosystems. The frequency and intensity of EEs and other associated events are increasing …

In this paper we propose and discuss different Deep Learning-based ensemble algorithms
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …

To mitigate haze impacts, three visibility simulation schemes were designed using decision
tree and random forest algorithms, leveraging atmospheric boundary layer meteorological …

In this paper, we propose different explicable forecasting approaches, based on inductive
and evolutionary decision rules, for extreme low-visibility events prediction. Explicability of …

Most of the effects caused by fog are negative for humans. Yet, numerical weather prediction
(NWP) models still have problems to simulate fog properly, especially in operational …

To improve the accuracy of atmospheric visibility (V) prediction based on machine learning
in different pollution scenarios, a new atmospheric visibility prediction method based on the …

This work presents an analysis of low-visibility event persistence and prediction at Villanubla
Airport (Valladolid, Spain), considering Runway Visual Range (RVR) time series in winter …

To address various urban issues such as fine dust, traffic congestion, and water shortage
caused by rapid urbanization, a national pilot Smart City is planned in two Korean cities …