Our latest research paper has been a joint work between the Aircraft Operations Lab and the Aeroelastic and Structural Design Lab of Universidad Carlos III de Madrid, and written by Raúl Quibén as main author. The study explores the feasibility of hybrid-electric powertrains in regional aviation, highlighting challenges with battery tech and system complexity. RaulContinue reading “Feasibility studies on regional aircraft retrofitted with hybrid-electric powertrains”
Category Archives: Dissemination
Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations
The article discusses the growing impact of artificial intelligence (AI), focusing on one application: weather reconstruction. AI, particularly neural networks, is used to improve the accuracy and availability of weather data, which has broad implications, such as reducing airport delays and related costs. Traditional weather stations only provide data from limited locations, so AI helpsContinue reading “Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations”
Integrating non-CO2 climate impact considerations in air traffic management: Opportunities and challenges
Within the framework of the RefMap project, the Aircraft Operations Lab from Carlos III University of Madrid has worked on a recent study published in Transport Policy by researchers Fateme Baneshi, María Cerezo-Magaña, and Manuel Soler. Their research explores how changing flight paths to be more climate-friendly can reduce the impact of aviation on climateContinue reading “Integrating non-CO2 climate impact considerations in air traffic management: Opportunities and challenges”
Pre-tactical convection prediction for air traffic flow management using LSTM neural network
Written by Aniel Jardines as main author, our latest paper studies how machine learning can result on high-resolution weather predictions that spot early signs of thunderstorms, using data from Météo-France weather models and satellite observations. Abstract This paper aims to explore machine learning techniques for post-processing high-resolution Numerical Weather Prediction (NWP) products for the earlyContinue reading “Pre-tactical convection prediction for air traffic flow management using LSTM neural network”
Concept of robust climate-friendly flight planning under multiple climate impact estimates
In this study, we address the problem of uncertainty-aware climate-optimized flight planning. The spatiotemporal dependency of aviation-induced non-CO2 climate effects can be incorporated into flight planning tools to generate climate-friendly flight plans. However, estimating climate impact is challenging and associated with high uncertainty. To ensure the effectiveness of such an operational measure, sources of uncertaintyContinue reading “Concept of robust climate-friendly flight planning under multiple climate impact estimates”