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. The methodology of analysing the biomass burning eventsrecorded in the database of the European Aerosol Research Lidar Network inthe framework of the Aerosol, Clouds and Trace Gases Research Infrastructure is presented. The period of 2008–2017 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)to single profiles (particle backscatter coefficient profile). Smoke layersgeometry was evaluated and the mean optical properties within each layerwere 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. Thebiomass burning events are analysed by the means of the intensiveparameters. The analysis was structured in three directions: (I) commonbiomass burning source (fire) recorded by at least two stations, (II) long-range transport from North America, and (III) analysis over four geographical regions (south-eastern Europe, north-eastern Europe, central Europe,and south-western Europe). Based on back-trajectory calculations and fire locations, the lidar measurements can be labelled either as measurements ofa “single fire” or “mixed fires” (case I), measurements of North American fires, or measurements of mixed North American and local fires (case II). Thehistogram of the fire locations reveals the smoke sources for each region. For each region, statistics on intensive parameters are performed. Thesource origin of the intensive parameters is categorized based on the continental origin of the air mass (European, African, Asian, North American,or a combination of them). The methodology presented here is meant toprovide a perspective to explore a large number of lidar data and deliver novel approaches to analyse the intensive parameters based on the assignedbiomass burning sources. A thorough consideration of all potential fire sources reveals that most of the time the lidar measurements characterizethe smoke from a mixture of fires. A comprehensive discussion of all the results (based on the intensive parameters and the source locations) willbe given in a companion paper submitted to the ACP EARLINET special issue.

Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology