Abstract

Biomass burning episodes measured at 14 stations of the European Aerosol Research Lidar Network (EARLINET) over 2008–2017 were analysed using the methodology described in "Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology" (Adam et al., 2020, this issue). The smoke layers were identified in lidar optical properties profiles. A number of 795 layers for which we measured at least one intensive parameter was analysed. These layers were geographically distributed as follows: 399 layers observed in South-East Europe, 119 layers observed in South-West Europe, 243 layers observed in North-East Europe, and 34 layers observed in Central Europe. The mean layer intensive parameters are discussed following two research directions: (I) the long-range transport of smoke particles from North America, and (II) the smoke properties (fresh versus aged), separating the smoke events into four continental source regions (European, North American, African, Asian or a mixture of two), based on back trajectory analysis. The smoke detected in Central Europe (Cabauw, Leipzig, and Hohenpeißenberg) was mostly transported from North America (87 % of fires). In North-East Europe (Belsk, Minsk, Warsaw) smoke advected mostly from Eastern Europe (Ukraine and Russia), but there was a significant contribution (31 %) from North America. In South-West Europe (Barcelona, Evora, Granada) smoke originated mainly from the Iberian Peninsula and North Africa (while 9 % were originating in North America). In the South-East Europe (Athens, Bucharest, Potenza, Sofia, Thessaloniki) the origin of the smoke was mostly local (only 3 % represented North America smoke). The following features, correlated with the increased smoke travel time (corresponding to aging) were found: the colour ratio of the lidar ratio (i.e., the ratio of the lidar ratio at 532 nm to the lidar ratio at 355 nm) and the colour ratio of the backscatter Ångström exponent (i.e., the ratio of the backscatter-related Angstrom exponent for the pair 532 nm – 1064 nm to the one for the pair 355 nm – 532 nm) increase, while the extinction Ångström exponent and the colour ratio of the particle depolarization ratio (i.e., the ratio of the particle linear depolarization ratio at 532 nm to the particle depolarization ratio at 355 nm) decrease. The smoke originating from all continental regions can be characterized on average as aged smoke, with a very few exceptions. In general, the long range transported smoke shows higher lidar ratio and lower depolarization ratio compared to the local smoke.

Highlights

  • The biomass burning (BB) context was given in Adam et al, 2020 (Part 1, this ACP issue)

  • The present study shows results based on the biomass burning events as measured by EARLINET over the 2008–2017 period, according to a methodology described in Part 1 (Adam et al, 2020)

  • The aerosol layers were labelled as smoke based on a combined analysis of Hysplit backtrajectories and the FIRMS fire locations

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Summary

Introduction

The biomass burning (BB) context was given in Adam et al, 2020 (Part 1, this ACP issue). Flannigan et al (2000) modelled the climate change impact, demonstrating an increase of forest wildfire activity. Carvalho et al (2011) modelled the impact of forest fires in a changing climate on air quality (a case study on Portugal) showing a strong impact on ozone and PM10 (particulate matter with size diameter below 25 10 m). EARLINET (European Aerosol Research Lidar Network; https://www.earlinet.org/ last access: 10 July 2021; e.g., Pappalardo 30 et al, 2014) provides high temporal and spatial resolution ground-based aerosol measurements, and represents a valuable tool for smoke monitoring.

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