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Open AccessJournal ArticleDOI

Four-dimensional distribution of the 2010 Eyjafjallajökull volcanic cloud over Europe observed by EARLINET

Gelsomina Pappalardo, +62 more
- 29 Apr 2013 - 
- Vol. 13, Iss: 8, pp 4429-4450
TLDR
In this article, the authors show the four-dimensional (4-D) distribution of the Eyjafjallajokull volcanic cloud in the troposphere over Europe as observed by EARLINET during the entire volcanic event (15 April-26 May 2010).
Abstract
. The eruption of the Icelandic volcano Eyjafjallajokull in April–May 2010 represents a "natural experiment" to study the impact of volcanic emissions on a continental scale. For the first time, quantitative data about the presence, altitude, and layering of the volcanic cloud, in conjunction with optical information, are available for most parts of Europe derived from the observations by the European Aerosol Research Lidar NETwork (EARLINET). Based on multi-wavelength Raman lidar systems, EARLINET is the only instrument worldwide that is able to provide dense time series of high-quality optical data to be used for aerosol typing and for the retrieval of particle microphysical properties as a function of altitude. In this work we show the four-dimensional (4-D) distribution of the Eyjafjallajokull volcanic cloud in the troposphere over Europe as observed by EARLINET during the entire volcanic event (15 April–26 May 2010). All optical properties directly measured (backscatter, extinction, and particle linear depolarization ratio) are stored in the EARLINET database available at http://www.earlinet.org . A specific relational database providing the volcanic mask over Europe, realized ad hoc for this specific event, has been developed and is available on request at http://www.earlinet.org . During the first days after the eruption, volcanic particles were detected over Central Europe within a wide range of altitudes, from the upper troposphere down to the local planetary boundary layer (PBL). After 19 April 2010, volcanic particles were detected over southern and south-eastern Europe. During the first half of May (5–15 May), material emitted by the Eyjafjallajokull volcano was detected over Spain and Portugal and then over the Mediterranean and the Balkans. The last observations of the event were recorded until 25 May in Central Europe and in the Eastern Mediterranean area. The 4-D distribution of volcanic aerosol layering and optical properties on European scale reported here provides an unprecedented data set for evaluating satellite data and aerosol dispersion models for this kind of volcanic events.

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Journal ArticleDOI

What is the benefit of ceilometers for aerosol remote sensing? An answer from EARLINET

TL;DR: In this paper, different retrieval methods to derive the aerosol backscatter coefficient βp, with special focus on the calibration of the ceilometers, are compared with respect to their accuracy and applicability, and it is shown that advanced lidar systems such as those being operated in the framework of the European Aerosol Research Lidar Network (EARLINET) are excellent tools for the calibration.
Journal ArticleDOI

Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy

TL;DR: In this article, a methodology both for volcanic layer identification and accurate aerosol typing has been developed based on the multi-wavelength Raman lidar measurements performed at the CNR-IMAA Atmospheric Observatory (CIAO), whenever weather conditions permitted observations.
Journal ArticleDOI

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.
Journal ArticleDOI

EARLINET Single Calculus Chain – technical – Part 2: Calculation of optical products

TL;DR: An expert group reviewed all algorithms and solutions for critical calculus subsystems which are used within EARLINET with respect to their applicability for automated retrievals for the retrieval of profiles of optical particle properties from lidar signals.
References
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Journal ArticleDOI

Volcanic eruptions and climate

Alan Robock
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TL;DR: In this article, the authors summarized the current knowledge on the calculation and application of trajectories and their different techniques that can be used to compute trajectories, and their error sources are described.
Journal ArticleDOI

The Persistently Variable “Background” Stratospheric Aerosol Layer and Global Climate Change

TL;DR: An increase in the amount of aerosols in the stratosphere during the past decade has decreased the rate of global warming, and climate model projections neglecting these changes would continue to overestimate the radiative forcing and global warming in coming decades.
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