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GMD has published our paper linked to the CLIMaCCF python library
We are pleased to announce that Geoscientific Model Development has published in open access our paper “A python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0“. This work has been carried out in the framework of the FlyATM4E and ALARM projects, which belong to the European Union’s Horizon 2020 researchContinue… u003cstrongu003eRead moreu003c/strongu003e
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New publication: “Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0.”
We are glad to share our latest research paper titled “Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0”, published in the journal of Geoscientific Model Development and writen by Abolfazl Simorgh as main author. Abstract The climate impact of non-CO2 emissions, which are responsible for two-thirds of aviation radiativeContinue… u003cstrongu003eRead moreu003c/strongu003e
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Latest paper: “Linear Contrails Detection, Tracking and Matching with Aircraft Using Geostationary Satellite and Air Traffic Data”
We celebrate the publication of this journal paper on Trajectory Optimization and Climate Change led by Rémi Chevallier, industrial PhD student at ENAC – Ecole Nationale de l’Aviation Civile supervised by Daniel Delahaye and Manuel Soler. Abstract Climate impact models of the non-CO2 emissions of aviation are still subject to significant uncertainties. Condensation trails, or contrails, are one of these non-CO2 effects.Continue… u003cstrongu003eRead moreu003c/strongu003e
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New publication: “Time-Fuel-Optimal Navigation of a Commercial Aircraft in Cruise with Heading and Throttle Controls using Pontryagin’s Maximum Principle”
A new paper has been published by the Aircraft Operations Lab UC3M in the field of aircraft trajectory optimisation. It is authored by the PhD student Amin Jafarimoghaddam and supervised by Manuel Soler. ABSTRACT In this research, we consider the commercial aircraft trajectory optimization problem for a general cruise model with arbitrary spatial wind fieldsContinue… u003cstrongu003eRead moreu003c/strongu003e
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New publication: “Robust Optimization Integrating Aircraft Trajectory and Sequence under Weather Forecast Uncertainty”
We are pleased to announce the publication of a new paper in the field of aircraft trajectory optimisation. It is authored by Shumpei Kamo, PhD student at TU Dresden, and cosupervised by Manuel Soler, from the Aircraft Operations Lab UC3M. ABSTRACT Integration of trajectory optimization into sequence optimization is required for next-generation Arrival Managers (AMANs)Continue… u003cstrongu003eRead moreu003c/strongu003e
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EGU23 General Assembly
This week, the Aircraft Operations Lab UC3M team is in Vienna to attend the EGU 23 General Assembly. The EGU (European Geosciences Union) is the leading European geosciences union, dedicated to the pursuit of excellence in Earth, planetary and space sciences for the benefit of humankind, worldwide. Our PhD students Fateme Baneshi and Abolfazl SimorghContinue… u003cstrongu003eRead moreu003c/strongu003e
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Latest publication: “A New Extreme Weather Nowcasting Product Supporting Aviation Management at Local Scale”
This article is part of our AI and Weather research line, and belongs to the activities we carried out in collaboration with the University of Padua in the framework of the ALARM project. The leader of the article from the Aircraft Operations Lab UC3M was Alejandro Cervantes, who was doing a postdoctoral fellowship with us.Continue… u003cstrongu003eRead moreu003c/strongu003e
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The ATM R&D ’23 Seminar has accepted 2 of our papers
Next June we will be in the United States at the 15th ATM R&D 2023 Seminar! An international event that has been organised every two years since 1997 by the Federal Aviation Administration (USA) and EUROCONTROL (Europe), becoming the top event for ATM researchers. Two of our papers have been accepted by the Committee andContinue… u003cstrongu003eRead moreu003c/strongu003e