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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 27 Feb 2020

Submitted as: research article | 27 Feb 2020

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A revised version of this preprint is currently under review for the journal ACP.

An EARLINET Early Warning System for atmospheric aerosol aviation hazards

Nikolaos Papagiannopoulos1,2, Giuseppe D'Amico1, Anna Gialitaki3,4, Nicolae Ajtai5, Lucas Alados-Arboledas6, Aldo Amodeo1, Vassilis Amiridis3, Holger Baars7, Dimitris Balis4, Ioannis Binietoglou8, Adolfo Comerón2, Davide Dionisi9, Alfredo Falconieri1, Patrick Fréville10, Anna Kampouri3,4, Inna Mattis11, Zoran Mijić12, Francisco Molero13, Alex Papayannis14, Gelsomina Pappalardo1, Alejandro Rodríguez-Gómez2, Stavros Solomos3, and Lucia Mona1 Nikolaos Papagiannopoulos et al.
  • 1Consiglio Nazionale delle Ricerche – Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C. da S. Loja, TitoScalo (PZ), Italy
  • 2CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain
  • 3IAASARS, National Observatory of Athens, Athens, Greece
  • 4Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 5Babes-Bolyai University of Cluj Napoca, Cluj, Romania
  • 6Department of Applied Physics, University of Granada, Granada, Spain
  • 7Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
  • 8National Institute of R&D for Optoelectronics (INOE), Magurele, Romania
  • 9Consiglio Nazionale delle Ricerche – Istituto di Scienze Marine (CNR-ISMAR), Roma, Italy
  • 10Observatoire de Physique du Globle (OPGC-LaMP), Clermont-Ferrand, France
  • 11Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Germany
  • 12Institute of Physics Belgrade, University of Belgrade, Belgrade, Serbia
  • 13Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Department of Environment, Madrid, Spain
  • 14Laser Remote Sensing Unit, Physics Dept., National Technical University of Athens, Athens, Greece

Abstract. A stand-alone lidar-based method for detecting airborne hazards for aviation in near-real-time (NRT) is presented. A polarization lidar allows for the identification of irregular-shaped particles such as volcanic dust and desert dust. The Single Calculus Chain (SCC) of the European Aerosol Lidar Network (EARLINET) delivers high resolution pre-processed data: the calibrated total attenuated backscatter and the calibrated volume linear depolarization ratio time series. From these calibrated lidar signals, the particle backscatter coefficient and the particle depolarization ratio can be derived in temporally-high resolution, and thus provide the basis of the NRT Early Warning System (EWS). In particular, an iterative method for the retrieval of the particle backscatter is implemented. This improved capability was designed as a pilot that will produce alerts for imminent threats for aviation. The method is applied to data during two diverse aerosol scenarios: first, a record breaking desert dust intrusion in March 2018 over Finokalia, Greece, and, second, an intrusion of volcanic particles originating from Mount Etna in June 2019 over Antikythera, Greece. Additionally, a devoted observational period including several EARLINET lidar systems demonstrates the network's preparedness to offer insight into natural hazards that affect the aviation sector.

Nikolaos Papagiannopoulos et al.

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Nikolaos Papagiannopoulos et al.

Nikolaos Papagiannopoulos et al.


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Publications Copernicus
Short summary
Volcanic and desert dust particles affect human activities in manifold ways, consequently, mitigation tools are important. Their early detection and the issuance of early warnings are key elements in the initiation of operational response procedures. A methodology for the early warning of these hazards using European Aerosol Research Lidar Network (EARLINET) data is presented. The tailored product is investigated during a volcanic eruption and mineral dust advected in Eastern Mediterranean.
Volcanic and desert dust particles affect human activities in manifold ways, consequently,...