Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 9, issue 10
Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-5007-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-9-5007-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 10
Research article
 | 
12 Oct 2016
Research article |  | 12 Oct 2016

Microphysical particle properties derived from inversion algorithms developed in the framework of EARLINET

Detlef Müller, Christine Böckmann, Alexei Kolgotin, Lars Schneidenbach, Eduard Chemyakin, Julia Rosemann, Pavel Znak, and Anton Romanov

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Short summary
We present a comparison study of two data inversion algorithms that are used to derive microphysical properties of atmospheric particle pollution. The algorithms have been developed for the analysis of data collected with advanced light detection and ranging (lidar) instruments from the European EARLINET network. The result of this study shows that two key parameters needed for climate change studies, i.e. particle size and light absorption capacity, can be derived with reasonable accuracy.
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EARLINET, the European Aerosol Research Lidar Network