Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …
The frequency and intensity of extremes and other associated events are continuously …
Fog Decision Support Systems: A Review of the Current Perspectives
Accurate and timely fog forecasts are needed to support decision making for various
activities which are critically affected by low visibility conditions. The societal impact of fog …
activities which are critically affected by low visibility conditions. The societal impact of fog …
[HTML][HTML] Deep learning ensembles for accurate fog-related low-visibility events forecasting
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 …
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …
[HTML][HTML] Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms
Low visibility events are a severe problem for road transport, causing accidents and major
economic losses. Their accurate prediction may help prevent these problems. For that …
economic losses. Their accurate prediction may help prevent these problems. For that …
Analysis, characterization, prediction and attribution of extreme atmospheric events with machine learning: a review
Atmospheric Extreme Events (EEs) cause severe damages to human societies and
ecosystems. The frequency and intensity of EEs and other associated events are increasing …
ecosystems. The frequency and intensity of EEs and other associated events are increasing …
Short-term visibility prediction using tree-based machine learning algorithms and numerical weather prediction data
BY Kim, M Belorid, JW Cha - Weather and Forecasting, 2022 - journals.ametsoc.org
Accurate visibility prediction is imperative in the interests of human and environmental
health. However, the existing numerical models for visibility prediction are characterized by …
health. However, the existing numerical models for visibility prediction are characterized by …
Extreme low-visibility events prediction based on inductive and evolutionary decision rules: an explicability-based approach
In this paper, we propose different explicable forecasting approaches, based on inductive
and evolutionary decision rules, for extreme low-visibility events prediction. Explicability of …
and evolutionary decision rules, for extreme low-visibility events prediction. Explicability of …
A modified rnn-based deep learning method for prediction of atmospheric visibility
Z Zang, X Bao, Y Li, Y Qu, D Niu, N Liu, X Chen - Remote Sensing, 2023 - mdpi.com
Accurate atmospheric visibility prediction is of great significance to public transport safety.
However, since it is affected by multiple factors, there still remains difficulties in predicting its …
However, since it is affected by multiple factors, there still remains difficulties in predicting its …
Operational probabilistic fog prediction based on ensemble forecast system: A decision support system for fog
One of the well-known challenges of fog forecasting is the high spatio-temporal variability of
fog. An ensemble forecast aims to capture this variability by representing the uncertainty in …
fog. An ensemble forecast aims to capture this variability by representing the uncertainty in …
Machine learning-based fog nowcasting for aviation with the aid of camera observations
In aviation, fog is a severe phenomenon, causing difficulties in airport traffic management;
thus, accurate fog forecasting is always appreciated. The current paper presents a fog …
thus, accurate fog forecasting is always appreciated. The current paper presents a fog …