Marine fog: A review
The objective of this review is to discuss physical processes over a wide range of spatial
scales that govern the formation, evolution, and dissipation of marine fog. We consider …
scales that govern the formation, evolution, and dissipation of marine fog. We consider …
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 …
Application of LSTM for short term fog forecasting based on meteorological elements
Fog is the main weather phenomenon that causes low visibility, which makes traffic and
outdoor work extremely dangerous. In this paper, we propose a novel LSTM framework for …
outdoor work extremely dangerous. In this paper, we propose a novel LSTM framework for …
[HTML][HTML] Fog prediction from a multimodel mesoscale ensemble prediction system
Fog Prediction from a Multimodel Mesoscale Ensemble Prediction System in: Weather and
Forecasting Volume 25 Issue 1 (2010) Jump to Content Jump to Main Navigation Logo Logo …
Forecasting Volume 25 Issue 1 (2010) Jump to Content Jump to Main Navigation Logo Logo …
A review on factors influencing fog formation, classification, forecasting, detection and impacts
K Lakra, K Avishek - Rendiconti Lincei. Scienze Fisiche e Naturali, 2022 - Springer
With the changing climate and environment, the nature of fog has also changed and
because of its impact on humans and other systems, study of fog becomes essential. Hence …
because of its impact on humans and other systems, study of fog becomes essential. Hence …
Deep learning models for visibility forecasting using climatological data
Low visibility conditions affect safety and traffic operations, leading to adverse scenarios that
often result in serious accidents. Due to the complexity and variability associated with …
often result in serious accidents. Due to the complexity and variability associated with …
Visnet: Deep convolutional neural networks for forecasting atmospheric visibility
A Palvanov, YI Cho - Sensors, 2019 - mdpi.com
Visibility is a complex phenomenon inspired by emissions and air pollutants or by factors,
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …
[HTML][HTML] Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms
C Peláez-Rodríguez, J Pérez-Aracil… - Atmospheric …, 2023 - Elsevier
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 …
A framework for satellite-based 3D cloud data: An overview of the VIIRS cloud base height retrieval and user engagement for aviation applications
YJ Noh, JM Haynes, SD Miller, CJ Seaman… - Remote Sensing, 2022 - mdpi.com
Satellites have provided decades of valuable cloud observations, but the data from
conventional passive radiometers are biased toward information from at or near cloud top …
conventional passive radiometers are biased toward information from at or near cloud top …
[HTML][HTML] Probabilistic forecasts of mesoscale convective system initiation using the random forest data mining technique
D Ahijevych, JO Pinto, JK Williams… - Weather and …, 2016 - journals.ametsoc.org
Probabilistic Forecasts of Mesoscale Convective System Initiation Using the Random Forest
Data Mining Technique in: Weather and Forecasting Volume 31 Issue 2 (2016) Jump to …
Data Mining Technique in: Weather and Forecasting Volume 31 Issue 2 (2016) Jump to …