Wind Gust Spectral Analysis with Aeolus Observations: Insights from a Transatlantic Route
Marianna VALENTE, Giuseppe PALAIA, Alfonso PAGANI, Erasmo CARRERA
Abstract. This study explores the use of ESA’s Aeolus satellite data to characterize wind gusts along a transatlantic flight corridor. A dedicated framework was developed to extract the power spectral density (PSD) of wind signals from temporally discontinuous satellite observations, enabling PSD-based gust characterization using spaceborne Doppler lidar data along operational flight routes. The proposed framework extracts and preprocesses wind data from ESA’s Aeolus mission and applies Fourier-based spectral analysis to obtain the PSD of the signal, which is then fitted using two different approaches: a classical von Kármán turbulence model and a data-driven optimization method. Results reveal deviations from the von Kármán spectrum, highlighting regional variability and demonstrating the potential of spaceborne Doppler wind lidar for global gust characterization and improved aviation safety modeling.
Keywords
Remote Sensing, Aviation, Satellite, Spectral Analysis
Published online 7/20/2026, 6 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Marianna VALENTE, Giuseppe PALAIA, Alfonso PAGANI, Erasmo CARRERA, Wind Gust Spectral Analysis with Aeolus Observations: Insights from a Transatlantic Route, Materials Research Proceedings, Vol. 69, pp 510-515, 2026
DOI: https://doi.org/10.21741/9781644904251-92
The article was published as article 92 of the book CEAS – AIDAA Conference 2025
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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