Sustainable aviation in the context of the Paris Agreement: A review of prospective scenarios and their technological mitigation levers
The sustainability of air transport is increasingly studied in relation to climate issues. The
objective of this paper is to provide the key elements for assessing whether a given …
objective of this paper is to provide the key elements for assessing whether a given …
Climate change influences on aviation: A literature review
T Ryley, S Baumeister, L Coulter - Transport Policy, 2020 - Elsevier
While the aviation sector has long been referenced as contributing to the causes of climate
change, the need for aviation to adapt to the consequences of climate change has not been …
change, the need for aviation to adapt to the consequences of climate change has not been …
Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep‐learning model
Nowcasting of convective storms is urgently needed yet rather challenging. Current
nowcasting methods are mostly based on radar echo extrapolation, which suffer from the …
nowcasting methods are mostly based on radar echo extrapolation, which suffer from the …
Application of innovative machine learning techniques for long-term rainfall prediction
Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
[HTML][HTML] Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets
Predicting extreme weather events in a short time period and their developing in localized
areas is a challenge. The nowcasting of severe and extreme weather events is an issue for …
areas is a challenge. The nowcasting of severe and extreme weather events is an issue for …
Ens-10: A dataset for post-processing ensemble weather forecasts
S Ashkboos, L Huang, N Dryden… - Advances in …, 2022 - proceedings.neurips.cc
Post-processing ensemble prediction systems can improve the reliability of weather
forecasting, especially for extreme event prediction. In recent years, different machine …
forecasting, especially for extreme event prediction. In recent years, different machine …
[HTML][HTML] Hazardous weather affecting European airports: Climatological estimates of situations with limited visibility, thunderstorm, low-level wind shear and snowfall …
The consistently growing demand for airline transportation has resulted in increased air
traffic and air operations in airports across the world. According to the International Air …
traffic and air operations in airports across the world. According to the International Air …
[HTML][HTML] Emerging from the COVID-19 pandemic: aviation recovery, challenges and opportunities
K Dube - Aerospace, 2022 - mdpi.com
This exploratory study examined the impacts of COVID-19 and emerging challenges and
opportunities from aviation recovery. Using archival and secondary data analysis, the study …
opportunities from aviation recovery. Using archival and secondary data analysis, the study …
[HTML][HTML] CloudFCN: Accurate and robust cloud detection for satellite imagery with deep learning
Cloud masking is of central importance to the Earth Observation community. This paper
deals with the problem of detecting clouds in visible and multispectral imagery from high …
deals with the problem of detecting clouds in visible and multispectral imagery from high …
[HTML][HTML] Demistify: a large-eddy simulation (LES) and single-column model (SCM) intercomparison of radiation fog
An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES)
models is presented for a radiation fog case study inspired by the Local and Non-local Fog …
models is presented for a radiation fog case study inspired by the Local and Non-local Fog …