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EARLINET all observations (2000-2010)

Mariana Adam, +96 more
- Vol. 1, pp 1
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The article was published on 2014-01-01 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Lidar.

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Journal ArticleDOI

EARLINET: towards an advanced sustainable European aerosol lidar network

Gelsomina Pappalardo, +15 more
- 08 Aug 2014 - 
TL;DR: The European Aerosol Research Lidar Network (EARLINET) as mentioned in this paper was founded as a research project for establishing a quantitative, comprehensive, and statistically significant database for the horizontal, vertical, and tempo-ral distribution of aerosols on a continental scale.
Journal ArticleDOI

LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET

Vassilis Amiridis, +23 more
- 01 Jul 2015 - 
TL;DR: The LIVAS database as mentioned in this paper provides averaged profiles of aerosol optical properties for the potential spaceborne laser operating wavelengths of 355, 532, 1064, 1570 and 2050 nm and of cloud optical properties at the wavelength of 532 nm.
Journal ArticleDOI

A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals

Ioannis Binietoglou, +41 more
- 04 Sep 2015 - 
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.
Journal ArticleDOI

Remote sensing and modelling analysis of the extreme dust storm hitting the Middle East and eastern Mediterranean in September 2015

Stavros Solomos, +6 more
- 13 Dec 2016 - 
TL;DR: In this article, a combination of meteorological and surface processes is found, including the development of a thermal low in the area of Syria that results in unstable atmospheric conditions and dust mobilization in this area, the convective activity over northern Iraq that triggers the formation of westward-moving haboobs that merge with the previously elevated dust layer, and the changes in land use due to war in the areas of northern Iraq and Syria that enhance dust erodibility.
Journal ArticleDOI

Using Raman-lidar-based regularized microphysical retrievals and Aerosol Mass Spectrometer measurements for the characterization of biomass burning aerosols

Stefanos Samaras, +7 more
- 15 Oct 2015 - 
TL;DR: The microphysical properties of aerosols are extracted for a collection of measurement cases with low volume depolarization ratio originating from fire sources captured by the Raman lidar located at the National Institute of Optoelectronics in Bucharest to validate the algorithm.
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EARLINET correlative observations for CALIPSO (2006-2010)

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EARLINET observations related to Saharan Dust events (2000-2010)

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EARLINET climatology (2000-2010)

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EARLINET Correlative Measurements For CALIPSO

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