Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing

Tsekeri, Alexandra; Amiridis, Vassilis; Marenco, Franco; Nenes, Athanasios; Marinou, Eleni; Solomos, Stavros; Rosenberg, Phil; Trembath, Jamie; Nott, Graeme J.; Allan, James; Le Breton, Michael; Bacak, Asan; Coe, Hugh; Percival, Carl; Mihalopoulos, Nikolaos

doi:https://doi.org/10.5194/amt-10-83-2017

Articles | Volume 10, issue 1

https://doi.org/10.5194/amt-10-83-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-10-83-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 1

Research article

|

06 Jan 2017

Research article |

| 06 Jan 2017

Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing

Alexandra Tsekeri, Vassilis Amiridis, Franco Marenco, Athanasios Nenes, Eleni Marinou, Stavros Solomos, Phil Rosenberg, Jamie Trembath, Graeme J. Nott, James Allan, Michael Le Breton, Asan Bacak, Hugh Coe, Carl Percival, and Nikolaos Mihalopoulos

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Final revised paper (published on 06 Jan 2017)
Preprint (discussion started on 18 Jul 2016)

Interactive discussion

Status: closed

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

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RC1: 'detailed analysis of a study case using a new approach', Anonymous Referee #2, 12 Aug 2016
- AC1: 'Reply to Referee #2 comments', Alexandra Tsekeri, 10 Oct 2016
RC2: 'Profiling aerosol optical,microphysical and hygroscopic properties inambient conditions by combining in-situ andremote sensing”byAlexandra Tsekeri et al.', Anonymous Referee #3, 12 Aug 2016
- AC2: 'Reply to Referee #3 comments', Alexandra Tsekeri, 10 Oct 2016
AC3: 'Note to the Editor and final version', Alexandra Tsekeri, 10 Oct 2016

Short summary

The In situ/Remote sensing aerosol Retrieval Algorithm (IRRA) provides vertical profiles of aerosol optical, microphysical and hygroscopic properties from airborne in situ and remote sensing measurements. The algorithm is highly advantageous for aerosol characterization in humid conditions, employing the ISORROPIA II model for acquiring the particle hygroscopic growth. IRRA can find valuable applications in aerosol–cloud interaction schemes and in validation of active space-borne sensors.