Articles | Volume 9, issue 10
Atmos. Meas. Tech., 9, 5007–5035, 2016
https://doi.org/10.5194/amt-9-5007-2016

Special issue: EARLINET, the European Aerosol Research Lidar Network

Atmos. Meas. Tech., 9, 5007–5035, 2016
https://doi.org/10.5194/amt-9-5007-2016

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 et al.

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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.