Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia
-
Published:2021-03-15
Issue:5
Volume:21
Page:3833-3853
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Yang Xingchuan, Zhao ChuanfengORCID, Yang YikunORCID, Yan XingORCID, Fan HaoORCID
Abstract
Abstract. Wildfires are an important contributor to atmospheric aerosols in
Australia and could significantly affect the regional and even global climate.
This study investigates the impact of fire events on aerosol properties
along with the long-range transport of biomass-burning aerosol over
Australia using multi-year measurements from Aerosol Robotic Network
(AERONET) at 10 sites over Australia, a satellite dataset derived from the
Moderate Resolution Imaging Spectroradiometer (MODIS) and the Cloud-Aerosol
Lidar with Orthogonal Polarization (CALIOP), reanalysis data from Modern-Era
Retrospective analysis for Research and Applications version 2 (MERRA-2),
and back-trajectories from the Hybrid Single Particle Lagrangian Integrated
Trajectory (HYSPLIT) model. The fire count, fire radiative power (FRP), and aerosol optical
depth (AOD) showed distinct and
consistent interannual variations, with high values during September–February
(biomass-burning period, BB period) and low values during March–August
(non-biomass-burning period, non-BB period) every year. Strong correlation
(0.62) was found between FRP and AOD over Australia. Furthermore, the correlation coefficient between
AOD and fire count was much higher (0.63–0.85) during October–January than
other months (−0.08 to 0.47). Characteristics of Australian aerosols showed
pronounced differences between the BB period and non-BB period. AOD values
significantly increased and fine-mode aerosol dominated during the BB period,
especially in northern and southeastern Australia. Carbonaceous aerosol was
the main contributor to total aerosols during the BB period, especially in
September–December when carbonaceous aerosol contributed the most
(30.08 %–42.91 %). Aerosol size distributions showed a bimodal character,
with both fine and coarse aerosol particles generally increasing during the BB
period. The megafires during the BB period of 2019/2020 further
demonstrated the significant impact of wildfires on aerosol properties, such
as the extreme increase in AOD for most of southeastern Australia, the
dominance of fine particle aerosols, and the significant increase in
carbonaceous and dust aerosols in southeastern and central Australia,
respectively. Moreover, smoke was found to be the dominant aerosol type
detected at heights from 2.5 to 12 km in southeastern Australia in December 2019 and
at heights from roughly 6.2 to 12 km in January 2020. In contrast, dust was
detected more frequently at heights from 2 to 5 km in November 2019 and
January and February 2020. A case study emphasized that the transport of
biomass-burning aerosols from wildfire plumes in eastern and southern
Australia significantly impacted the aerosol loading, aerosol particle size,
and aerosol type of central Australia.
Funder
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China National Basic Research Program of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference72 articles.
1. Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018. 2. Boschetti, L. and Roy, D. P.: Strategies for the fusion of satellite fire
radiative power with burned area data for fire radiative energy derivation,
J. Geophys. Res.-Atmos., 114, D14S05, https://doi.org/10.1029/2008jd011645, 2009. 3. Bouya, Z. and Box, G. P.: Seasonal variation of aerosol size distributions in Darwin, Australia, J. Atmos. Sol.-Terr. Phy., 73, 2022–2033, https://doi.org/10.1016/j.jastp.2011.06.016, 2011. 4. Chen, Z., Schofield, R., Rayner, P., Zhang, T., Liu, C., Vincent, C., Fiddes, S., Ryan, R. G., Alroe, J., Ristovski, Z. D., Humphries, R. S., Keywood, M. D., Ward, J., Paton-Walsh, C., Naylor, T., and Shu, X.:
Characterization of aerosols over the Great Barrier Reef: The influence of
transported continental sources, Sci. Total Environ., 690,
426–437, https://doi.org/10.1016/j.scitotenv.2019.07.007, 2019. 5. Commonwealth of Australia, Bureau of Meteorology: Climate classifications (base climatological data sets), available at: http://www.bom.gov.au/jsp/ncc/climate_averages/climate-classifications (last access: 3 February 2021), 2005.
Cited by
31 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|