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Abstract
Atmospheric soot and organic particles from fossil fuel combustion and biomass burning modify Earth’s climate through their interactions with solar radiation and through modifications of cloud properties by acting as cloud condensation nuclei and ice nucleating particles. Recent advancements in understanding their individual properties and microscopic composition have led to heightened interest in their microphysical properties. This review article provides an overview of current advanced microscopic measurements and offers insights into future avenues for studying microphysical properties of these particles. To quantify soot morphology and ageing, fractal dimension (Df) is a commonly employed quantitative metric which allows to characterize morphologies of soot aggregates and their modifications in relation to ageing factors like internal mixing state, core-shell structures, phase, and composition heterogeneity. Models have been developed to incorporate Df and mixing diversity metrics of aged soot particles, enabling quantitative assessment of their optical absorption and radiative forcing effects. The microphysical properties of soot and organic particles are complex and they are influenced by particle sources, ageing process, and meteorological conditions. Furthermore, soluble organic particles exhibit diverse forms and can engage in liquid–liquid phase separation with sulfate and nitrate components. Primary carbonaceous particles such as tar balls and soot warrant further attention due to their strong light absorbing properties, presence of toxic organic constituents, and small size, which can impact human health. Future research needs include both atmospheric measurements and modeling approaches, focusing on changes in the mixing structures of soot and organic particle ensembles, their effects on climate dynamics and human health.
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1 Zhejiang University, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Department of Atmospheric Sciences, School of Earth Sciences, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X)
2 University of Illinois at Urbana–Champaign, Department of Climate, Meteorology, and Atmospheric Sciences, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991)
3 China Jiliang University, College of Sciences, Hangzhou, China (GRID:grid.411485.d) (ISNI:0000 0004 1755 1108)
4 Meteorological Research Institute, Department of Atmosphere, Ocean, and Earth System Modeling Research, Tsukuba, Japan (GRID:grid.13402.34) (ISNI:0000 0004 0489 1234)
5 University of Birmingham, School of Geography, Earth and Environmental Sciences, Birmingham, UK (GRID:grid.6572.6) (ISNI:0000 0004 1936 7486)
6 Prefectural University of Kumamoto, Faculty of Environmental and Symbiotic Sciences, Kumamoto, Japan (GRID:grid.412533.2) (ISNI:0000 0000 9031 293X)
7 The University of Manchester, Department of Earth and Environmental Sciences, Manchester, UK (GRID:grid.5379.8) (ISNI:0000 0001 2166 2407)
8 Purdue University, Department of Chemistry, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Department of Earth Atmospheric and Planetary Sciences, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197)