Articles | Volume 17, issue 19
https://doi.org/10.5194/acp-17-11861-2017
https://doi.org/10.5194/acp-17-11861-2017
Research article
 | 
09 Oct 2017
Research article |  | 09 Oct 2017

Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula

Alberto Cazorla, Juan Andrés Casquero-Vera, Roberto Román, Juan Luis Guerrero-Rascado, Carlos Toledano, Victoria E. Cachorro, José Antonio G. Orza, María Luisa Cancillo, Antonio Serrano, Gloria Titos, Marco Pandolfi, Andres Alastuey, Natalie Hanrieder, and Lucas Alados-Arboledas

Viewed

Total article views: 5,000 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,026 1,795 179 5,000 178 204
  • HTML: 3,026
  • PDF: 1,795
  • XML: 179
  • Total: 5,000
  • BibTeX: 178
  • EndNote: 204
Views and downloads (calculated since 12 Apr 2017)
Cumulative views and downloads (calculated since 12 Apr 2017)

Viewed (geographical distribution)

Total article views: 5,000 (including HTML, PDF, and XML) Thereof 5,000 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download
Short summary
This work presents a method for the calibration and automated quality assurance of inversion of ceilometer profiles that is applied to the Iberian Ceilometer Network (ICENET). A cast study during an unusually intense dust outbreak affecting the Iberian Peninsula is shown. Results reveal that it is possible to obtain a quantitative optical aerosol characterization with ceilometers over large areas, and this information has a great potential for alert systems and model assimilation and evaluation.
Share
Altmetrics
Final-revised paper
Preprint