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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2017-151
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
12 Apr 2017
Review status
This discussion paper is under review for the journal Atmospheric Chemistry and Physics (ACP).
Near real time processing of ceilometer network data: characterizing an extraordinary dust outbreak over the Iberian Peninsula
Alberto Cazorla1,2, Juan Andrés Casquero-Vera1,2, Roberto Román1,2, Juan Luis Guerrero-Rascado1,2, Carlos Toledano3, Victoria E. Cachorro3, José Antonio G. Orza4, María Luisa Cancillo5,6, Antonio Serrano5,6, Gloria Titos7, Marco Pandolfi7, Andrés Alastuey7, Natalie Hanrieder8, and Lucas Alados-Arboledas1,2 1Andalusian Institute for Earth System Research, IISTA-CEAMA, University of Granada, Junta de Andalucía, Granada, Spain
2Department of Applied Physics, University of Granada, Granada, Spain
3Grupo de Óptica Atmosférica (GOA), Universidad de Valladolid, Valladolid, Spain
4SCOLAb, Física Aplicada, Universidad Miguel Hernández, Elche, Spain
5Departament of Physics, University of Extremadura, Badajoz, Spain
6Institute of Water Research, Climate Change and Sustainability, IACYS, University of Extremadura, Spain
7Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
8815 German Aerospace Center (DLR), Institute of Solar Research, Plataforma Solar de Almería, Almería, Spain
Abstract. The interest on the use of ceilometers for optical aerosol characterization has increased in the last few years. They operate continuously almost unattended and are also much less expensive than lidars, hence they can be distributed in dense networks over large areas. However, due to the low signal-to-noise-ratio it is not always possible to obtain particle backscatter coefficient profiles, and the vast amount of data generated requires an automated and unsupervised method that ensures the quality of the profiles inversions.

In this work a method that uses aerosol optical depth (AOD) measurements from the AERONET network is applied for the calibration and automated quality assurance of inversion of ceilometer profiles. The method is compared with independent inversions obtained by co-located multiwavelength lidar measurements and a difference up to 15 % in backscatter is found between both instruments. This method is continuously and automatically applied to the Iberian Ceilometer Network (ICENET) and a case example during an unusually intense dust outbreak that affected the Iberian Peninsula on 20 February 2016 and lasted until 24 February 2016 is shown. Results reveal that it is possible to obtain a quantitative optical aerosol characterization (particle backscatter coefficient) with ceilometers over large areas and this information has a great potential for alert systems and model assimilation and evaluation.


Citation: Cazorla, A., Casquero-Vera, J. A., Román, R., Guerrero-Rascado, J. L., Toledano, C., Cachorro, V. E., Orza, J. A. G., Cancillo, M. L., Serrano, A., Titos, G., Pandolfi, M., Alastuey, A., Hanrieder, N., and Alados-Arboledas, L.: Near real time processing of ceilometer network data: characterizing an extraordinary dust outbreak over the Iberian Peninsula, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-151, in review, 2017.
Alberto Cazorla et al.
Alberto Cazorla et al.
Alberto Cazorla et al.

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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 case example 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
This work presents a method for the calibration and automated quality assurance of inversion of...
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