2 research outputs found
An EARLINET early warning system for atmospheric aerosol aviation hazards
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 Research Lidar Network (EARLINET) delivers
high-resolution preprocessed 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, Italy, 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.ACTRIS-2
654109ACTRIS preparatory phase
739530EUNADICS-AV
723986E-shape (EuroGEOSS Showcases: Applications Powered by Europe)
820852Ministry of Research and Innovation, Ontario
19PFE/17.10.2018Romanian National Core Program
18N/2019European Commission
European Commission Joint Research Centre
72569