Impact of the Cyclone on Spatial Distribution of the Smoke Aerosol Resulted from the Fires in May, 2021
D. V. Kalinskaya
Marine Hydrophysical Institute of RAS, Sevastopol, Russian Federation
e-mail: kalinskaya_d_v@mail.ru
Abstract
Purpose. Using the satellite and ground-based monitoring, as well as the results of modeling the atmosphere dynamics, a long-range transport of smoke aerosol was comprehensively studied.
Methods and Results. The period of multiple and intense fires recorded in Western Siberia near the Kazakhstan border in May, 2021 was considered. To analyze the scales and locations of the most active fires during the period under consideration, the satellite monitoring maps from the FIRMS system archives were used. Being analyzed, the satellite images showed the smoke transfer on May, 9 and 10 towards the Middle Urals that was confirmed by photometric measurements at the AERONET aerial ash monitoring station. The results of modeling the air mass back transfer performed due to the HYSPLIT software were represented to confirm smoke transport from the Urals. On May, 11 a cyclone was formed over the territory of the Volgograd region, its periphery just covered the Urals region. This fact contributed to the smoke aerosol transfer towards Finland at a distance exceeding 4000 km via the Black Sea region. The basic information on the stages of the cyclonic vorticity formation and the smoke aerosol transport was obtained from the MODIS Aqua, VIIRS and CALIPSO satellite platforms. Based on the VIIRS satellite data, the dynamics of the surface layer temperature variability and the chlorophyll a concentration in the zone of the maximum wind impact in the Black Sea region before and after the cyclone passage were analyzed. The main optical and microphysical characteristics of the atmosphere aerosol for the period under study were also analyzed using the data from a portable sun photometer and the AERONET stationary ones.
Conclusions. A number of specific meteorological conditions which developed in May, 2021 promoted accumulation of the smoke aerosol in the atmosphere of the Middle Urals and its subsequent transport, first, to the Black Sea region and then – towards Finland.
Keywords
FIRMS, MODIS, VIIRS, SPM, AERONET, CALIPSO, back trajectories, HYSPLIT, Black Sea, atmospheric aerosol, fire, satellite monitoring, land monitoring, aerosol optical depth, MAIAC, optical characteristics
Acknowledgements
The work was carried out with financial support of the Russian Foundation for Basic Research, scientific project No. 19-05-50023, and within the framework of the theme of the state assignment of Marine Hydrophysical Institute, RAS No. 0827-2021-0002 and the state assignment No. 0555-2021-0003 “Development of methods of operational oceanology based on interdisciplinary studies of the processes of formation and evolution of marine environment, and mathematical modeling using remote and contact measurements”. The authors are thankful to Tom Kucsera, Brent Holben and Giuseppe Zibordi, and also to the group of Gene Feldman from NASA for providing the AOD data, calculating the BTA data, processing the measurement results obtained at the Sevastopol AERONET station, and for the possibility of using high-quality photometric measurement data. The author also grateful to S.M. Sakerin and D.M. Kabanov for providing the SPM photometer and its software.
Original russian text
Original Russian Text © D. V. Kalinskaya, 2022, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 38, Iss. 3, pp. 324-340 (2022)
For citation
Kalinskaya, D.V., 2022. Impact of the Cyclone on Spatial Distribution of the Smoke Aerosol Resulted from the Fires in May, 2021. Physical Oceanography, 29(3), pp. 303-319. doi:10.22449/1573-160X-2022-3-303-319
DOI
10.22449/1573-160X-2022-3-303-319
References
- Boucher, O., Stocker, T., Qin, D., Plattner, G., Tignor, M., Allen, S., Boschung, J., Nauels, A., Xia, Y. [et al.], 2013. Clouds and Aerosols (Chapter 7). In: Intergovernmental Panel on Climate Change, 2013. Climate Change 2013 - The Physical Science Basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, pp. 571-658. doi:10.1017/CBO9781107415324.016
- Plakhina, I.N., Pankratova, N.V. and Makhotkina, E.L., 2018. Comparison of Ground and Satellite Monitoring of Aerosol Optical Thickness of the Atmosphere in Russia. Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 15(2), pp. 225-234. doi:10.21046/2070-7401-2018-15-2-225-234 (in Russian).
- Ginzburg, A.S., Gubanova, D.P. and Minashkin, V.M., 2009. Influence of Natural and Anthropogenic Aerosols on Global and Regional Climate. Russian Journal of General Chemistry, 79(9), pp. 2062-2070. doi:10.1134/S1070363209090382
- Vermote, E.F., Saleous, N.Z. and Justice, C.O., 2002. Atmospheric Correction of MODIS Data in the Visible to Middle Infrared: First Results. Remote Sensing of Environment, 83(1– 2), pp. 97-111. doi:10.1016/S0034-4257(02)00089-5
- Suslin, V.V., Slabakova, V.K., Kalinskaya, D.V., Pryakhina, S.F. andGolovko, N.I., 2016. Optical Features of the Black Sea Aerosol and the Sea Water Upper Layer Based on In Situ and Satellite Measurements. Physical Oceanography, 1, pp. 20-32. doi:10.22449/1573-160X- 2016-1-20-32
- Yakovleva, D.V. and Tolkachenko, G.A., 2008. Research of Features of Daily Variability of Aerosol Optical Thickness of Atmosphere above Black Sea. In: MHI, 2008. Ekologicheskaya Bezopasnost' Pribrezhnykh i Shel'fovykh Zon i Kompleksnoe Ispol'zovanie Resursov Shel'fa [Ecological Safety of Coastal and Shelf Zones and Comprehensive Use of Shelf Resources]. Sevastopol: ECOSI-Gidrofizika. Iss.16, pp. 212-223 (in Russian).
- Sakerin, S.M., Kabanov, D.M., Rostov, A.P., Turchinovich, S.A. and Knyazev, V.V., 2013. Sun Photometers for Measuring Spectral Air Transparency in Stationary and Mobile Conditions. Atmospheric and Oceanic Optics, 26(4), pp. 352-356. https://doi.org/10.1134/S102485601304012X
- Dubovik, O. and King, M.D., 2000. A Flexible Inversion Algorithm for Retrieval of Aerosol Optical Properties from Sun and Sky Radiance Measurements. Journal of Geophysical Research: Atmospheres, 105(D16), pp. 20673-20696. doi:10.1029/2000JD900282
- Dubovik, O., Holben, B., Eck, T.F., Smirnov, A., Kaufman, Y.J., King, M.D., Tanre, D. and Slutsker, I., 2002. Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations. Journal of the Atmospheric Sciences, 59(3), pp. 590-608. doi:10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO;2
- Kalinskaya, D.V., Kabanov, D.M., Latushkin, A.A. and Sakerin, S.M., 2017. Atmospheric Aerosol Optical Depth Measurements in the Black Sea Region (2015–2016). Optika Atmosfery i Okeana, 30(6), pp. 489-496 (in Russian).
- Eck, T.F., Holben, B.N., Reid, J.S., Dubovik, O., Smirnov, A., O’Neill, N.T., Slutsker, I. and Kinne, S., 1999. Wavelength Dependence of the Optical Depth of Biomass Burning, Urban, and Desert Dust Aerosols. Journal of Geophysical Research: Atmospheres, 104(D24), pp. 31333-31349. doi:10.1029/1999JD900923
- Kabanov, D.M. and Sakerin, S.M., 1997. About Method of Atmospheric Aerosol Optical Thickness Determination in near-IR Spectral Range. Atmospheric and Oceanic Optics, 10(7), pp. 540-545.
- Remer, L.A., Kahn, R.A. and Koren, I., 2009. Aerosol Indirect Effects from Satellite: Skeptics vs. Optimists. Geochimica et Cosmochimica Acta, 73(13), supplement, pp. A1088. doi:10.1016/j.gca.2009.05.014
- Omar, A.H., Winker, D.M., Vaughan, M.A., Hu, Y., Trepte, C.R., Ferrare, R.A., Lee, K., Hostetler, C.A., Kittaka, C. [et al.], 2009. The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm. Journal of Atmospheric and Oceanic Technology, 26(10), pp. 1994-2014. doi:10.1175/2009JTECHA1231.1
- Kalinskaya, D.V. and Papkova, A.S., 2018. Identification of the Marine Aerosol by the CALIPSO Radiometer over the Black Sea for 2017. In: SPIE, 2018. Proceedings of SPIE. 24th International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics. Tomsk: SPIE. Vol. 10833, 108335K. doi:10.1117/12.2504520
- Stein, A.F., Draxler, R.R., Rolph, G.D., Stunder, B.J.B., Cohen, M.D. and Ngan, F., 2015. NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System. Bulletin of the American Meteorological Society, 96(12), pp. 2059-2077. doi:10.1175/BAMS-D-14-00110.1
- Kalinskaya, D.V. and Kudinov, O.B., 2017. Methodology of Ground Aerosol Sources Determination Based on AERONET and HYSPLIT Models Data Results. In: SPIE, 2017. Proceedings of SPIE. 23rd International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics. Tomsk: SPIE. Vol. 10466, 104663R. doi:10.1117/12.2287744
- Kalinskaya, D.V., Papkova, A.S. and Kabanov, D.M., 2020. Research of the Aerosol Optical and Microphysical Characteristics of the Atmosphere over the Black Sea Region by the FIRMS System during the Forest Fires in 2018–2019. Physical Oceanography, 27(5), pp. 514-524. doi:10.22449/1573-160X-2020-5-514-524
- Andreev, S.Yu., Afonin, S.V., Bedareva, T.V., Beresnev, S.A., Bukin, O.A., Golobokova, L.P., Gorbarenko, E.V., Gorda, S.Yu., Gribanov, K.G. [et al.], 2012. Study of Radiative Characteristics of Aerosol in Asian Part of Russia. Tomsk: IOA SB RAS, 483 p. (in Russian).
- Glantz, P., Freud, E., Johansson, C., Noone, K. and Tesche, M., 2019. Trends in MODIS and AERONET Derived Aerosol Optical Thickness over Northern Europe. Tellus B: Chemical and Physical Meteorology, 71(1), 1554414. doi:10.1080/16000889.2018.1554414
- Schutgens, N.A.J., Nakata, M. and Nakajima, T., 2013. Validation and Empirical Correction of MODIS AOT and AE over Ocean. Atmospheric Measurement Techniques, 6(9), pp. 2455- 2475. doi:10.5194/amt-6-2455-2013
- Hauser, A., Oesch, D. and Wunderle, S., 2004. NOAA AVHRR Derived Aerosol Optical Depth (AOD) over Land: A Comparison with AERONET Data. Optica Pura y Aplicada, 37(3), pp. 3131-3135. Available at: https://www.sedoptica.es/Menu_Volumenes/Pdfs/149.pdf [Accessed: 31 May 2022].