EARLINET: Potential operationality of a research network

dc.bibliographicCitation.firstPage4587eng
dc.bibliographicCitation.issue11eng
dc.bibliographicCitation.lastPage4613eng
dc.bibliographicCitation.volume8
dc.contributor.authorSicard, M.
dc.contributor.authorD'Amico, G.
dc.contributor.authorComerón, A.
dc.contributor.authorMona, L.
dc.contributor.authorAlados-Arboledas, L.
dc.contributor.authorAmodeo, A.
dc.contributor.authorBaars, H.
dc.contributor.authorBaldasano, J.M.
dc.contributor.authorBelegante, L.
dc.contributor.authorBinietoglou, I.
dc.contributor.authorBravo-Aranda, J.A.
dc.contributor.authorFernández, A.J.
dc.contributor.authorFréville, P.
dc.contributor.authorGarcía-Vizcaíno, D.
dc.contributor.authorGiunta, A.
dc.contributor.authorGranados-Muñoz, M.J.
dc.contributor.authorGuerrero-Rascado, J.L.
dc.contributor.authorHadjimitsis, D.
dc.contributor.authorHaefele, A.
dc.contributor.authorHervo, M.
dc.contributor.authorIarlori, M.
dc.contributor.authorKokkalis, P.
dc.contributor.authorLange, D.
dc.contributor.authorMamouri, R.E.
dc.contributor.authorMattis, I.
dc.contributor.authorMolero, F.
dc.contributor.authorMontoux, N.
dc.contributor.authorMuñoz, A.
dc.contributor.authorMuñoz Porcar, C.
dc.contributor.authorNavas-Guzmán, F.
dc.contributor.authorNicolae, D.
dc.contributor.authorNisantzi, A.
dc.contributor.authorPapagiannopoulos, N.
dc.contributor.authorPapayannis, A.
dc.contributor.authorPereira, S.
dc.contributor.authorPreißler, J.
dc.contributor.authorPujadas, M.
dc.contributor.authorRizi, V.
dc.contributor.authorRocadenbosch, F.
dc.contributor.authorSellegri, K.
dc.contributor.authorSimeonov, V.
dc.contributor.authorTsaknakis, G.
dc.contributor.authorWagner, F.
dc.contributor.authorPappalardo, G.
dc.date.accessioned2017-12-14T00:22:29Z
dc.date.available2019-06-26T17:20:20Z
dc.date.issued2015
dc.description.abstractIn the framework of ACTRIS (Aerosols, Clouds, and Trace Gases Research Infrastructure Network) summer 2012 measurement campaign (8 June–17 July 2012), EARLINET organized and performed a controlled exercise of feasibility to demonstrate its potential to perform operational, coordinated measurements and deliver products in near-real time. Eleven lidar stations participated in the exercise which started on 9 July 2012 at 06:00 UT and ended 72 h later on 12 July at 06:00 UT. For the first time, the single calculus chain (SCC) – the common calculus chain developed within EARLINET for the automatic evaluation of lidar data from raw signals up to the final products – was used. All stations sent in real-time measurements of a 1 h duration to the SCC server in a predefined netcdf file format. The pre-processing of the data was performed in real time by the SCC, while the optical processing was performed in near-real time after the exercise ended. 98 and 79 % of the files sent to SCC were successfully pre-processed and processed, respectively. Those percentages are quite large taking into account that no cloud screening was performed on the lidar data. The paper draws present and future SCC users' attention to the most critical parameters of the SCC product configuration and their possible optimal value but also to the limitations inherent to the raw data. The continuous use of SCC direct and derived products in heterogeneous conditions is used to demonstrate two potential applications of EARLINET infrastructure: the monitoring of a Saharan dust intrusion event and the evaluation of two dust transport models. The efforts made to define the measurements protocol and to configure properly the SCC pave the way for applying this protocol for specific applications such as the monitoring of special events, atmospheric modeling, climate research and calibration/validation activities of spaceborne observations.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/910
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/762
dc.language.isoengeng
dc.publisherMünchen : European Geopyhsical Unioneng
dc.relation.doihttps://doi.org/10.5194/amt-8-4587-2015
dc.relation.ispartofseriesAtmospheric Measurement Techniques, Volume 8, Issue 11, Page 4587-4613eng
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subjectatmospheric modelingeng
dc.subjectcritical analysiseng
dc.subjectdata processingeng
dc.subjectdusteng
dc.subjectlidareng
dc.subjectmeasurement methodeng
dc.subjectmonitoringeng
dc.subjectparticulate mattereng
dc.subjectresearch programeng
dc.subjecttemporal analysiseng
dc.subject.ddc550eng
dc.titleEARLINET: Potential operationality of a research networkeng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleAtmospheric Measurement Techniqueseng
tib.accessRightsopenAccesseng
wgl.contributorTROPOSeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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