{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T05:31:18Z","timestamp":1772256678736,"version":"3.50.1"},"reference-count":61,"publisher":"Copernicus GmbH","issue":"22","license":[{"start":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T00:00:00Z","timestamp":1605657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["4000119961\/16\/NL\/FF\/mg"],"award-info":[{"award-number":["4000119961\/16\/NL\/FF\/mg"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015622","name":"Ministerul Cercet\u0103rii \u015fi Inov\u0103rii","doi-asserted-by":"publisher","award":["18N\/08.02.2019"],"award-info":[{"award-number":["18N\/08.02.2019"]}],"id":[{"id":"10.13039\/501100015622","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015622","name":"Ministerul Cercet\u0103rii \u015fi Inov\u0103rii","doi-asserted-by":"publisher","award":["19PFE\/17.10.2018"],"award-info":[{"award-number":["19PFE\/17.10.2018"]}],"id":[{"id":"10.13039\/501100015622","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Atmos. Chem. Phys."],"abstract":"<jats:p>Abstract. The methodology of analysing the biomass burning events\nrecorded in the database of the European Aerosol Research Lidar Network in\nthe framework of the Aerosol, Clouds and Trace Gases Research Infrastructure is presented. The period of 2008\u20132017 was chosen to analyse all of the events stored in the database under the Forest Fire category for a total of 14 stations available. The data provided ranged from complete datasets (particle backscatter, extinction and linear depolarization ratio profiles)\nto single profiles (particle backscatter coefficient profile). Smoke layers\ngeometry was evaluated and the mean optical properties within each layer\nwere computed. The back-trajectory technique was used to double-check the source of all pollution layers. The biomass burning layers were identified by taking into account the presence of the fires along the back trajectory. The\nbiomass burning events are analysed by the means of the intensive\nparameters. The analysis was structured in three directions: (I)\u00a0common\nbiomass burning source (fire) recorded by at least two stations, (II)\u00a0long-range transport from North America, and (III) analysis over four geographical regions (south-eastern Europe, north-eastern Europe, central Europe,\nand south-western Europe). Based on back-trajectory calculations and fire locations, the lidar measurements can be labelled either as measurements of\na \u201csingle fire\u201d or \u201cmixed fires\u201d (case I), measurements of North American fires, or measurements of mixed North American and local fires (case II). The\nhistogram of the fire locations reveals the smoke sources for each region. For each region, statistics on intensive parameters are performed. The\nsource origin of the intensive parameters is categorized based on the continental origin of the air mass (European, African, Asian, North American,\nor a combination of them). The methodology presented here is meant to\nprovide a perspective to explore a large number of lidar data and deliver novel approaches to analyse the intensive parameters based on the assigned\nbiomass burning sources. A thorough consideration of all potential fire sources reveals that most of the time the lidar measurements characterize\nthe smoke from a mixture of fires. A comprehensive discussion of all the results (based on the intensive parameters and the source locations) will\nbe given in a companion paper submitted to the ACP EARLINET special issue.<\/jats:p>","DOI":"10.5194\/acp-20-13905-2020","type":"journal-article","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T06:37:58Z","timestamp":1605681478000},"page":"13905-13927","source":"Crossref","is-referenced-by-count":25,"title":["Biomass burning events measured by lidars in EARLINET \u2013  Part 1: Data analysis methodology"],"prefix":"10.5194","volume":"20","author":[{"given":"Mariana","family":"Adam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doina","family":"Nicolae","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3890-2953","authenticated-orcid":false,"given":"Iwona S.","family":"Stachlewska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5189-9381","authenticated-orcid":false,"given":"Alexandros","family":"Papayannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1161-7746","authenticated-orcid":false,"given":"Dimitris","family":"Balis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3145","published-online":{"date-parts":[[2020,11,18]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Adam, M., Pahlow, M., Kovalev, V. 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S., Janicka, L., Szczepanik, D., Mylonaki, M., Papanikolaou, C. A., Siomos, N., Voudouri, K. A., Alados-Arboledas, L., Bravo-Aranda, J. A., Apituley, A., Papagiannopoulos, N., Mona, L., Mattis, I., Chaikovsky, A., Sicard, M., Mu\u00f1oz-Porcar, C., Pietruczuk, A., Bortoli, D., Baars, H., Grigorov, I., and Peshev, Z.: Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions, Atmos. Chem. Phys. Discuss., https:\/\/doi.org\/10.5194\/acp-2020-647, in review, 2020.","DOI":"10.5194\/acp-2020-647"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Alonso-Blanco, E., Castro, A., Calvo, A. I., Pont, V., Mallet, M., and Fraile,\nR.: Wildfire smoke plumes transport under a subsidence inversion: Climate\nand health implications in a distant urban area, Sci. 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Remote,\n47, 72\u201379, https:\/\/doi.org\/10.1109\/TGRS.2008.2002076, 2009.","DOI":"10.1109\/TGRS.2008.2002076"},{"key":"ref12","unstructured":"EARLINET: Aerosol lidar profiles, available at: https:\/\/data.earlinet.org\/earlinet\/login.zul, last access: 26\u00a0November\u00a02019."},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Fiebig, M., Petzold, A., Wandinger, U., Wendisch, M., Kiemle, C., Stifter,\nA., Ebert, M., Rother, T., and Leiterer, U.: Optical closure for an aerosol\ncolumn: Method, accuracy, and inferable properties applied to a\nbiomass-burning aerosol and its radiative forcing, J. Geophys. Res,\n107, 8130, https:\/\/doi.org\/10.1029\/2000JD000192, 2002.","DOI":"10.1029\/2000JD000192"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Fiebig, M., Stohl, A., Wendisch, M., Eckhardt, S., and Petzold, A.: Dependence of solar radiative forcing of forest fire aerosol on ageing and state of mixture, Atmos. Chem. 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