EPJ Web Conf.
Volume 237, 2020The 29th International Laser Radar Conference (ILRC 29)
|Number of page(s)||4|
|Published online||07 July 2020|
Biomass Burning Measurements in Earlinet
1 National Institute of Research and Development for Optoelectronics - INOE 2000, Magurele, 077225, Romania
2 University of Warsaw, Faculty of Physics, 02093, Poland
3 National Technical University of Athens, Department of Physics, Athens, 15780, Greece
4 Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
5 KNMI – Royal Netherlands Meteorological Institute, De Bilt, 3731, the Netherlands
6 Andalusian Institute for Earth System Research, Department of Applied Physics, University of Granada, Granada, 18071, Spain
7 Institute of Geophysics, Polish Academy of Sciences, Warsaw, 01-452, Poland
8 Institute of Physics, NAS of Belarus, Minsk, 220072, Belarus
9 RSLab / CommSensLab, Universitat Politècnica de Catalunya, Barcelona, 08034, Spain
10 CTE-CRAE / IEEC, Universitat Politècnica de Catalunya, Barcelona, 08034, Spain
11 Deutscher Wetterdienst, Meteorologisches Observatorium Hohenpeißenberg, Hohenpeißenberg, 82383 Germany
12 CNR-IMAA, C.da S. Loja, Tito Scalo, 85050, Italy
13 Leibniz Institute for Tropospheric Research, Leipzig, 04318, Germany
14 Earth Sciences Institute, Physics Department, University of Évora, Évora, 7000, Portugal
15 Institute of Electronics, Bulgarian Academy of Sciences, 1784, Sofia
* Email: email@example.com
Published online: 7 July 2020
The biomass burning events are analyzed using the EARLINET-ACTRIS atmospheric profiling of aerosols using lidars. The period of 2008-2017 was chosen to analyze all the events assigned in the EARLINET database under Forest Fire category. A number of fourteen stations were considered. The data provided, ranged from complete data sets (backscatter, extinction and particle linear depolarization ratio) to single profiles (backscatter coefficient). A thorough quality control was performed. Smoke layers geometry was evaluated and the mean properties within each layer were computed. The Hysplit backward-trajectory technique and the FIRMS fire database were used to double check the source of each layer. Discussions were made under the following scenarios: fire events seen by two stations, long range transport from North America, and geographical clusters.
© The Authors, published by EDP Sciences, 2020
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