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”
Tag Archives: aviation
Interview with María García: Top 5 Finalist in STEM Talent Girl for Research on Green Aviation
The Aircraft Operations Lab at UC3M is proud to highlight the remarkable achievement of María García, a promising young student currently pursuing her first year in Aerospace Engineering at the University of Leon, and a participant in the STEM Talent Girl program. Under the mentorship of our researcher, María Cerezo Magaña, this talented student hasContinue reading “Interview with María García: Top 5 Finalist in STEM Talent Girl for Research on Green Aviation”
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”
Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace
Aircraft Operations Lab’s latest research paper, ‘Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace’ has been published in the Journal of Transportation Research Part D: Transport and Environment. Writen by Abolfazl Simorgh as main author, our research within the ongoing RefMap project introduces an innovative methodology for climate-optimal flight trajectory planning inContinue reading “Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace”