The Effect of “Aeolus” Data on the Accumulated Precipitation Associated with a Severe Storm Event over Greece

The limited availability of wind profile measurements has long hindered advancements in atmospheric modeling and our understanding of climate systems. The European Space Agency’s (ESA) “Aeolus” mission encountered this challenge with the groundbreaking introduction of space-based Doppler wind lidar technology, capable of providing Near-Real-Time wind profile data. The regional COSMO NWP model was utilized to demonstrate the potential of “Aeolus” in improving NWP model capabilities. The research focuses on analyzing the precipitation of the severe Hephaestion storm, which struck Greece in early January 2020, by comparing the performance of the NWP model with and without the assimilation of “Aeolus” data.

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Published
2025-09-08
DOI
https://doi.org/10.3390/eesp2025035007
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

The Effect of “Aeolus” Data on the Accumulated Precipitation Associated with a Severe Storm Event over Greece

P. T. Nastos, Ioannis Matsangouras, Ioannis Pytharoulis, Euripides Avgoustoglou
Meteorological Phenomena and Simulations
article

The Effect of “Aeolus” Data on the Accumulated Precipitation Associated with a Severe Storm Event over Greece

P. T. Nastos, Ioannis Matsangouras, Ioannis Pytharoulis, Euripides Avgoustoglou
article en

Abstract

The limited availability of wind profile measurements has long hindered advancements in atmospheric modeling and our understanding of climate systems. The European Space Agency’s (ESA) “Aeolus” mission encountered this challenge with the groundbreaking introduction of space-based Doppler wind lidar technology, capable of providing Near-Real-Time wind profile data. The regional COSMO NWP model was utilized to demonstrate the potential of “Aeolus” in improving NWP model capabilities. The research focuses on analyzing the precipitation of the severe Hephaestion storm, which struck Greece in early January 2020, by comparing the performance of the NWP model with and without the assimilation of “Aeolus” data.

National and Kapodistrian University of Athens (GR), Aristotle University of Thessaloniki (GR)
European Space Agency, European Organization for the Exploitation of Meteorological Satellites, European Centre for Medium-Range Weather Forecasts
Openalex Percentile: Top 70%
Meteorological Phenomena and Simulations
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