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Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022

Papanikolaou, Christina-Anna ; Papayannis, Alexandros; Gidarakou, Marilena; Abdullaev, Sabur F.; Ajtai, Nicolae; Baars, Holger; Balis, Dimitris; Bortoli, Daniele; Bravo-Aranda, Juan Antonio; Collaud-Coen, Martine; Rosa, Benedetto de; Dionisi, Davide; Eleftheratos, Kostas; Engelmann, Ronny; Floutsi, Athena A.; Abril-Gago, Jesús; Goloub, Philippe; Giuliano, Giovanni; Gumà-Claramunt, Pilar; ... mehr

Abstract:

Between 14 March and 21 April 2022, an extensive investigation of an extraordinary Saharan dust intrusion over Europe was performed based on lidar measurements obtained by the European Aerosol Research Lidar Network (EARLINET). The dust episode was divided into two distinct periods, one in March and one in April, characterized by different dust transport paths. The dust aerosol layers were studied over 18 EARLINET stations, examining aerosol characteristics during March and April in four different regions (M-I, M-II, M-III, and M-IV and A-I, A-II, A-III, and A-IV, respectively), focusing on parameters such as aerosol layer thickness, center of mass (CoM), lidar ratio (LR), particle linear depolarization ratio (PLDR), and Ångström exponents (ÅE). In March, regions exhibited varying dust geometrical and optical properties, with mean CoM values ranging from approximately 3.5 to 4.8 km, and mean LR values typically between 36 and 54 sr. PLDR values indicated the presence of both pure and mixed dust aerosols, with values ranging from 0.20 to 0.32 at 355 nm and 0.24 to 0.31 at 532 nm. ÅE values suggested a range of particle sizes, with some regions showing a predominance of coarse particles. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000174580
Veröffentlicht am 27.09.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000174580
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Remote Sensing
Verlag MDPI
Band 16
Heft 17
Seiten Art.-Nr.: 3350
Vorab online veröffentlicht am 09.09.2024
Nachgewiesen in Scopus
Dimensions
Web of Science
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