Preprints
https://doi.org/10.5194/acp-2021-759
https://doi.org/10.5194/acp-2021-759

  18 Oct 2021

18 Oct 2021

Review status: this preprint is currently under review for the journal ACP.

Biomass burning events measured by lidars in EARLINET – Part 2: Optical properties investigation

Mariana Adam1, Iwona S. Stachlewska2, Lucia Mona3, Nikolaos Papagiannopoulos3, Juan Antonio Bravo-Aranda4, Michaël Sicard5,6, Doina N. Nicolae1, Livio Belegante1, Lucja Janicka2, Dominika Szczepanik2, Maria Mylonaki7, Christina-Anna Papanikolaou7, Nikolaos Siomos8,16, Kalliopi Artemis Voudouri8, Luca Alados-Arboledas4, Arnoud Apituley9, Ina Mattis10, Anatoli Chaikovsky11, Constantino Muñoz-Porcar5, Aleksander Pietruczuk12, Daniele Bortoli13, Holger Baars14, Ivan Grigorov15, and Zahary Peshev15 Mariana Adam et al.
  • 1National Institute for R&D in Optoelectronics, Magurele, 077225, Romania
  • 2Faculty of Physics, University of Warsaw, 02-093, Warsaw, Poland
  • 3Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), C.da S.Loja. Tito Scalo (PZ), Italy
  • 4Andalusian Institute for Earth System Research, Department of Applied Physics, University of Granada, Granada, 18071, Spain
  • 5Remote Sensing Laboratory/CommSensLab, Universitat Politecnica de Catalunya, Barcelona, 08034, Spain
  • 6Ciencies i Tecnologies de l'Espai - Centre de Recerca de l'Aeronautica i de l'Espai/Institut d'Estudis Espacials de Catalunya (CTE-CRAE/IEEC), Universitat Politecnica de Catalunya, Barcelona, 08034, Spain
  • 7National Technical University of Athens, Department of Physics, Athens, 15780, Greece
  • 8Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
  • 9KNMI – Royal Netherlands Meteorological Institute, De Bilt, 3731, the Netherlands
  • 10Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Hohenpeißenberg, 82383 Germany
  • 11Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
  • 12Institute of Geophysics, Polish Academy of Sciences, Warsaw, 01-452, Poland
  • 13Earth Sciences Institute, Physics Department, University of Évora, Évora, 7000, Portugal
  • 14Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
  • 15Institute of Electronics, Bulgarian Academy of Sciences, 1784, Sofia, Bulgaria
  • 16Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 15236, Greece

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.

Mariana Adam et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-759', Anonymous Referee #2, 03 Nov 2021
  • RC2: 'Comment on acp-2021-759', Anonymous Referee #1, 23 Nov 2021

Mariana Adam et al.

Mariana Adam et al.

Viewed

Total article views: 390 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
308 76 6 390 29 2 4
  • HTML: 308
  • PDF: 76
  • XML: 6
  • Total: 390
  • Supplement: 29
  • BibTeX: 2
  • EndNote: 4
Views and downloads (calculated since 18 Oct 2021)
Cumulative views and downloads (calculated since 18 Oct 2021)

Viewed (geographical distribution)

Total article views: 370 (including HTML, PDF, and XML) Thereof 370 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Dec 2021
Download
Short summary
Results over 10 years of biomass burning events measured by EARLINET are analysed by means of the intensive parameters, based on the methodology described in Part I. Smoke type is characterized for each of the four geographical regions based on continental smoke origin. Relationships between intensive parameters or colour ratios are shown. The smoke is labelled in average as aged smoke.
Altmetrics