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Near real time processing of ceilometer network data: characterizing an extraordinary dust outbreak over the Iberian Peninsula

Cazorla, Alberto and Casquero-Vera, Juan Andres and Roman, 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 ceilometer network data: characterizing an extraordinary dust outbreak over the Iberian Peninsula. Atmospheric Chemistry and Physics Discussions. Copernicus Publications. DOI: 10.5194/acp-2017-151 ISSN 1680-7367

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Abstract

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 20 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 25 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 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.

Item URL in elib:https://elib.dlr.de/115524/
Document Type:Article
Title:Near real time processing of ceilometer network data: characterizing an extraordinary dust outbreak over the Iberian Peninsula
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cazorla, AlbertoUniversity GranadaUNSPECIFIED
Casquero-Vera, Juan AndresUniversity GranadaUNSPECIFIED
Roman, Robertouniversidad de granadaUNSPECIFIED
Guerrero-Rascado, J. L.UNSPECIFIEDUNSPECIFIED
Toledano, Carlosuniv. de valladolid, valladolid, eUNSPECIFIED
Cachorro, Victoria E.universidad de valladolid, spainUNSPECIFIED
Orza, José AntonioUniversidad Miguel Hernandez, ElcheUNSPECIFIED
Cancillo, Maria LuisaUniversity of ExtremaduraUNSPECIFIED
Serrano, AntonioUniversity of ExtremaduraUNSPECIFIED
Titos, GloriaIDAEA-CSICUNSPECIFIED
Pandolfi, MarcoIDAEA-CSICUNSPECIFIED
Alastuey, AndresIDAEA-CSICUNSPECIFIED
Hanrieder, Natalienatalie.hanrieder (at) dlr.dehttps://orcid.org/0000-0002-9671-351X
Alados Arboledas, L.universidad de granada, granada, spainUNSPECIFIED
Date:April 2017
Journal or Publication Title:Atmospheric Chemistry and Physics Discussions
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.5194/acp-2017-151
Publisher:Copernicus Publications
ISSN:1680-7367
Status:Published
Keywords:ceilometer, real time processing
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 14:04
Last Modified:13 Dec 2019 04:07

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