Articles | Volume 10, issue 1
https://doi.org/10.5194/amt-10-83-2017
https://doi.org/10.5194/amt-10-83-2017
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

Viewed

Total article views: 3,452 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,054 1,292 106 3,452 104 102
  • HTML: 2,054
  • PDF: 1,292
  • XML: 106
  • Total: 3,452
  • BibTeX: 104
  • EndNote: 102
Views and downloads (calculated since 18 Jul 2016)
Cumulative views and downloads (calculated since 18 Jul 2016)

Cited

Latest update: 28 Feb 2024
Download
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.