the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties
Abstract. The analysis of the aerosol optical properties derived at fine temporal and spatial scales were performed based on measurements obtained during heat wave event in vicinity of a cold weather front in Warsaw on August 9th–11th, 2015. The signals collected by the PollyXT-UW lidar allowed for the calculation of 23 sets of so-called 3β + 2α + 2δ + wv profiles averaged by 30-minutes periods during 2 nights. The total number of 11 different aerosol types and aerosol mixtures were identified with reference to properties within 116 sub-layers in the profiles and were characterized by the mean values. The statistical sample of various optical properties being in agreement for consecutive profiles allowed to assess the spatio-temporal extent of aerosol/mixture types. The mean lidar ratio values of 53–73 sr (355 nm) and 31–45 sr (532 nm) in the layers dominated by the anthropogenic pollution were found. For the layers dominated by the biomass burning aerosol (fresh, moderately fresh, moderately aged) mean lidar ratio was of 69–114 sr (355 nm) and 57–85 sr (532 nm). The colour ratio of lidar ratio (532 / 355) higher than 1, characteristic for aged biomass burning aerosol, was found only in one scattered layer, accompanying with low value of extinction related Ångström exponent of 0.60 ± 0.32 and low particle depolarization ratio. The maximum of the particle depolarization ratio of 4.8–5.0 % at 532 nm were observed in a layer likely contaminated with pollen and in a layer dominated by fresh biomass burning aerosol. This study provides an excellent data set for exploration of separation algorithms, aerosol typing algorithms and microphysical inversion.
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SC1: 'Very interesting study on aerosol mixtures from lidar measurements', Anca Nemuc, 16 Apr 2019
- AC1: 'Answer to Short Comment', Lucja Janicka, 29 Apr 2019
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RC1: 'Review of 'Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties'', Anonymous Referee #1, 19 Apr 2019
- AC2: 'Authors response to Referee #1', Lucja Janicka, 15 May 2019
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RC2: 'Review of “Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties” by Janicka and Stachlewska', Anonymous Referee #2, 25 Apr 2019
- AC3: 'Authors response to Referee #2', Lucja Janicka, 15 May 2019
-
SC1: 'Very interesting study on aerosol mixtures from lidar measurements', Anca Nemuc, 16 Apr 2019
- AC1: 'Answer to Short Comment', Lucja Janicka, 29 Apr 2019
-
RC1: 'Review of 'Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties'', Anonymous Referee #1, 19 Apr 2019
- AC2: 'Authors response to Referee #1', Lucja Janicka, 15 May 2019
-
RC2: 'Review of “Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties” by Janicka and Stachlewska', Anonymous Referee #2, 25 Apr 2019
- AC3: 'Authors response to Referee #2', Lucja Janicka, 15 May 2019
Data sets
EARLINET All 2000-2015 The EARLINET publishing group 2000-2015, K. Acheson, M. Adam, L. Alados-Arboledas, D. Althausen, F. Amato, V. Amiridis, A. Amodeo, A. Ansmann, A. Apituley, Y. Arshinov, H. Baars, D. Balis, R. Barragán, O. Batet, L. Belegante, I. Binietoglou, S. Bobrovnikov, S. Bohlmann, D. Bortoli, A. Boselli, J. Bösenberg, J. A. Bravo-Aranda, P. Burlizzi, E. Carstea, A. Chaikovsky, P. G. Claramunt, A. Comerón, G. D'Amico, D. Daou, M. de Graaf, F. De Tomasi, A. Deleva, T. Dreischuh, R. Engelmann, M. Filioglou, F. Finger, V. Freudenthaler, P. Freville, A. J. Fernandez García, D. Garcia-Vizcaino, M. Gausa, A. Geiß, E. Giannakaki, H. Giehl, A. Giunta, M. J. Granados-Muñoz, M. Grein, I. Grigorov, S. Groß, C. Gruening, J. L. Guerrero-Rascado, D. Hadjimitsis, A. Haefele, M. Haeffelin, I. Hanssen, T. Hayek, M. Iarlori, T. Kanitz, P. Kokkalis, M. Komppula, D. Kumar, D. Lange, H. Linné, M. A. Lopez, F. Madonna, R.-E. Mamouri, G. Martucci, V. Matthias, I. Mattis, F. Molero Menéndez, V. Mitev, L. Mona, N. Montoux, Y. Morille, A. Müller, D. Müller, C. Muñoz-Porcar, M. Mylonaki, F. Navas-Guzmán, A. Nemuc, D. Nicolae, M. Pandolfi, N. Papagiannopoulos, A. Papayannis, G. Pappalardo, M. R. Perrone, Z. Peshev, C. Pietras, A. Pietruczuk, G. Pisani, C. Potma, J. Preißler, M. Pujadas, J. P. Putaud, C. Radu, F. Ravetta, M. N. M. Reba, A. Reigert, V. Rizi, F. Rocadenbosch, A. Rodríguez-Gómez, M. Rosoldi, A. A. Ruth, L. Sauvage, J. Schmidt, F. Schnell, A. Schwarz, P. Seifert, I. Serikov, M. Sicard, A. M. Silva, V. Simeonov, N. Siomos, T. Sirch, N. Spinelli, I. S. Stachlewska, D. Stoyanov, D. Szczepanik, C. Talianu, M. Tesche, S. Tomás, T. Trickl, H. Volten, K.-A. Voudouri, F. Wagner, U. Wandinger, X. Wang, M. Wiegner, and K. M. Wilson https://doi.org/10.1594/WDCC/EARLINET_All_2000-2015
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- Biomass burning events measured by lidars in EARLINET – Part 1: Data analysis methodology M. Adam et al. 10.5194/acp-20-13905-2020
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