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Livio Belegante

Researcher at University of Bucharest

Publications -  53
Citations -  794

Livio Belegante is an academic researcher from University of Bucharest. The author has contributed to research in topics: Lidar & Aerosol. The author has an hindex of 13, co-authored 51 publications receiving 642 citations. Previous affiliations of Livio Belegante include Alexandru Ioan Cuza University.

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Characterization of fresh and aged biomass burning events using multiwavelength Raman lidar and mass spectrometry

TL;DR: In this article, the authors focus on optical and microphysical properties of long-range transported biomass burning (BB) aerosols and their variation with atmospheric evolution (ageing), as observed by a multiwavelength Raman lidar, part of EARLINET (European Aerosol LIdar NETwork).
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A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

Abstract: . Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAMABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1–6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of -40 to -20 μg m−3 at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.
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The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET

Holger Baars, +62 more
TL;DR: In this article, the decay phase of an unprecedented, record-breaking stratospheric perturbation caused by wildfire smoke is reported and discussed in terms of geometrical, optical, and microphysical aerosol properties.
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EARLINET instrument intercomparison campaigns: overview on strategy and results

Ulla Wandinger, +62 more
TL;DR: In this paper, the European Aerosol Research Lidar Network (EARLINET) quality-assurance efforts at instrument level have been discussed at signal and product level.
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Assessment of aerosol's mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations

TL;DR: In this article, the authors used multwavelength depolarization Raman lidar measurements from Magurele, Romania along with simulated mass-extinction efficiencies to calculate the mass concentration profiles of different atmospheric components, due to their contribution to the 532 nm backscatter coefficient.