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

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

doi:https://doi.org/10.5194/amt-9-5007-2016

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:

EARLINET, the European Aerosol Research Lidar Network

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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Final revised paper (published on 12 Oct 2016)
Preprint (discussion started on 08 Dec 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C4597: 'referee 1', Anonymous Referee #1, 04 Jan 2016
- AC C5814: 'Reply to Reviewer 1', Detlef Müller, 20 May 2016
RC C4799: 'Interactive comment on “Microphysical particle properties derived from inversion algorithms developed in the framework of EARLINET” by D. Müller et al. Anonymous Referee #3', Anonymous Referee #3, 08 Jan 2016
- AC C5819: 'Reply to Reviewer #3', Detlef Müller, 20 May 2016
RC C5362: 'Comments', Anonymous Referee #2, 08 Feb 2016
- AC C5823: 'Reply to Reviewer #2', Detlef Müller, 20 May 2016

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.