Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
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Preprints
https://doi.org/10.5194/acp-2019-207
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-207
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Preprints
19 Mar 2019
 | 19 Mar 2019
Status: this preprint was under review for the journal ACP but the revision was not accepted.

Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties

Lucja Janicka and Iwona S. Stachlewska

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.

How to cite. Janicka, L. and Stachlewska, I. S.: Properties of biomass burning aerosol mixtures derived at fine temporal and spatial scales from Raman lidar measurements: Part I optical properties, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2019-207, 2019.
Received: 01 Mar 2019 – Discussion started: 19 Mar 2019
Lucja Janicka and Iwona S. Stachlewska
 
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Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Lucja Janicka and Iwona S. Stachlewska

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

Lucja Janicka and Iwona S. Stachlewska

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Short summary
The fine temporal and spatial scale analysis of the aerosol optical properties is presented based on the lidar measurements in Warsaw during the heat wave on August 9th–11th, 2015. The signals from quasi-continuous PollyXT-UW lidar measurements provided the high quality sets of profiles. In the study the statistical approach to aerosol layers characterization by the means of optical properties were adopted. Obtained data set have the potential to use in the fine scale microphysical retrieval.
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