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

Cazorla, Alberto and Casquero-Vera, Juan Andrés and Román, Roberto and Guerrero-Rascado, J. L. and Toledano, Carlos and Cachorro, Victoria E. and Orza, José Antonio and Cancillo, Maria Luisa and Serrano, Antonio and Titos, Gloria and Pandolfi, Marco and Alastuey, Andres and Hanrieder, Natalie and Alados-Arboledas, L. (2017) Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula. Atmospheric Chemistry and Physics (17), pp. 11861-11876. Copernicus Publications. DOI: 10.5194/acp-17-11861-2017 ISSN 1680-7316

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Official URL: https://www.atmos-chem-phys.net/17/11861/2017/acp-17-11861-2017.html


The interest in 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 number of data generated require an automated and unsupervised method that ensures the quality of the profiles inversions. In this work we describe a method that uses aerosol optical depth (AOD) measurements from the AERONET Network that it is applied for the calibration and automated Quality assurance of inversion of ceilometer profiles. The method is compared with independent inversions obtained by colocated multiwavelength lidar measurements. A difference smaller than 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 affecting the Iberian Peninsula between 20 and 24 February 2016 is shown. Results reveal that it is possible to obtain quantitative optical aerosol properties (particle backscatter coefficient) and discriminate the quality of these retrievals with ceilometers over large areas. This information has a great potential for alert systems and model assimilation and evaluation.

Item URL in elib:https://elib.dlr.de/115528/
Document Type:Article
Title:Near-real-time processing of a ceilometer network assisted with sun-photometer data: monitoring a dust outbreak over the Iberian Peninsula
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cazorla, AlbertoUniversity of GranadaUNSPECIFIED
Casquero-Vera, Juan AndrésUniversity of GranadaUNSPECIFIED
Román, RobertoUniversity of GranadaUNSPECIFIED
Guerrero-Rascado, J. L.University of GranadaUNSPECIFIED
Toledano, Carlosuniversity valladolidUNSPECIFIED
Cachorro, Victoria E.universidad de valladolid, spainUNSPECIFIED
Orza, José AntonioUniversitdad Miguel Hernandez ElcheUNSPECIFIED
Cancillo, Maria LuisaUniversity of ExtremaduraUNSPECIFIED
Serrano, AntonioUniversity of ExtremaduraUNSPECIFIED
Hanrieder, Natalienatalie.hanrieder (at) dlr.dehttps://orcid.org/0000-0002-9671-351X
Alados-Arboledas, L.universidad de granadaUNSPECIFIED
Date:9 October 2017
Journal or Publication Title:Atmospheric Chemistry and Physics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.5194/acp-17-11861-2017
Page Range:pp. 11861-11876
Publisher:Copernicus Publications
Keywords:aeronet, ceilometer, dust
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Impact of Desert Environment
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Qualification
Deposited By: Kruschinski, Anja
Deposited On:20 Nov 2017 14:05
Last Modified:02 May 2019 14:05

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