Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7647-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7647-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jun 2022
Research article |
| 14 Jun 2022
| 14 Jun 2022
Regional impacts of black carbon morphologies on shortwave aerosol–radiation interactions: a comparative study between the US and China
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, China
Zhengqiang Li
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Chenchong Zhang
Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, China
Yongming Zhang
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, China
Ying Zhang
State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Gabriele Curci
Department of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy
Center of Excellence in Telesensing of Environment and Model Prediction of Severe Events (CETEMPS), University of L'Aquila, L'Aquila (AQ), Italy
Rajan K. Chakrabarty
Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
McDonnell Center for the Space Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA
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Wenyuan Chang, Ying Zhang, Zhengqiang Li, Jie Chen, and Kaitao Li
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Qiaoyun Hu, Haofei Wang, Philippe Goloub, Zhengqiang Li, Igor Veselovskii, Thierry Podvin, Kaitao Li, and Mikhail Korenskiy
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This study presents the characteristics of Taklamakan dust particles derived from lidar measurements collected in the dust aerosol observation field campaign. It provides comprehensive parameters for Taklamakan dust properties and vertical distributions of Taklamakan dust. This paper also points out the importance of polluted dust which was frequently observed in the field campaign. The results contribute to improving knowledge about dust and reducing uncertainties in the climatic model.
Ying Zhang, Zhengqiang Li, Yu Chen, Gerrit de Leeuw, Chi Zhang, Yisong Xie, and Kaitao Li
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Observation of atmospheric aerosol components plays an important role in reducing uncertainty in climate assessment. In this study, an improved remote sensing method which can better distinguish scattering components is developed, and the aerosol components in the atmospheric column over China are retrieved based on the Sun–sky radiometer Observation NETwork (SONET). The component distribution shows there could be a sea salt component in northwest China from a paleomarine source in desert land.
Cited articles
Ackermann, I. J., Hass, H., Memmesheimer, M., Ebel, A., Binkowski, F. S., and
Shankar, U.: Modal aerosol dynamics model for Europe: Development and first
applications, Atmos. Environ., 32, 2981–2999, 1998. a
Adachi, K., Chung, S. H., and Buseck, P. R.: Shapes of soot aerosol particles
and implications for their effects on climate, J. Geophys.
Res.-Atmos., 115, D15206, https://doi.org/10.1029/2009JD012868, 2010. a, b, c, d
Adachi, K., Zaizen, Y., Kajino, M., and Igarashi, Y.: Mixing state of
regionally transported soot particles and the coating effect on their size
and shape at a mountain site in Japan, J. Geophys. Res.-Atmos., 119, 5386–5396, https://doi.org/10.1002/2013JD020880,
2014. a
Alexander, D. T., Crozier, P. A., and Anderson, J. R.: Brown carbon spheres in East Asian outflow and their optical properties, Science, 321, 833–836, 2008. a
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
DeAngelo, B. J., Flanner, M. G., Ghan, S., Karcher, B., Koch, D., Kinne, S.,
Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender,
C. S.: Bounding the role of black carbon in the climate system: A scientific
assessment, J. Geophys. Res.-Atmos., 118, 5380–5552,
https://doi.org/10.1002/jgrd.50171, 2013. a
Buras, R., Dowling, T., and Emde, C.: New secondary-scattering correction in
DISORT with increased efficiency for forward scattering, J.
Quant. Spectrosc. Ra. Transf., 112, 2028–2034, 2011. a
Buseck, S. E. and Buseck, P. R.: Absorbing phenomena (vol 288, pg 989, 2000),
Science, 289, 58–58,
2000. a
Chakrabarty, R. K., Moosmuller, H., Garro, M. A., Arnott, W. P., Walker, J.,
Susott, R. A., Babbitt, R. E., Wold, C. E., Lincoln, E. N., and Hao, W. M.:
Emissions from the laboratory combustion of wildland fuels: Particle
morphology and size, J. Geophys. Res.-Atmos., 111, D07204,
https://doi.org/10.1029/2005JD006659, 2006. a, b
Chakrabarty, R. K., Moosmüller, H., Arnott, W. P., Garro, M. A., Slowik,
J. G., Cross, E. S., Han, J.-H., Davidovits, P., Onasch, T. B., and Worsnop,
D. R.: Light scattering and absorption by fractal-like carbonaceous chain
aggregates: Comparison of theories and experiment, Appl. Opt., 46,
6990–7006, 2007. a
Chang, H.-C. and Charalampopoulos, T.: Determination of the wavelength
dependence of refractive indices of flame soot, P. Roy.
Soc. London A, 430,
577–591, 1990. a
Chen, C., Fan, X., Shaltout, T., Qiu, C., Ma, Y., Goldman, A., and Khalizov,
A. F.: An unexpected restructuring of combustion soot aggregates by
subnanometer coatings of polycyclic aromatic hydrocarbons, Geophys.
Res. Lett., 43, 11080–11088,
https://doi.org/10.1002/2016GL070877, 2016. a
Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N.,
Martin, R. V., Logan, J. A., Higurashi, A., and Nakajima, T.: Tropospheric
Aerosol Optical Thickness from the GOCART Model and Comparisons with
Satellite and Sun Photometer Measurements, J. Atmos.
Sci., 59, 461–483,
https://doi.org/10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2, 2002. a
China, S., Mazzoleni, C., Gorkowski, K., Aiken, A. C., and Dubey, M. K.:
Morphology and mixing state of individual freshly emitted wildfire
carbonaceous particles, Nat. Commun., 4, 2122,
https://doi.org/10.1038/ncomms3122, 2013. a, b
Chung, C., Lee, K., and Mu'́uller, D.: Effect of internal mixture on black
carbon radiative forcing, Tellus B, 64,
10925, https://doi.org/10.3402/tellusb.v64i0.10925, 2012. a
Coz, E. and Leck, C.: Morphology and state of mixture of atmospheric soot
aggregates during the winter season over Southern Asia-a quantitative
approach, Tellus B, 63, 107–116, 2011. a
Cross, E. S., Slowik, J. G., Davidovits, P., Allan, J. D., Worsnop, D. R.,
Jayne, J. T., Lewis, D. K., Canagaratna, M., and Onasch, T. B.: Laboratory
and ambient particle density determinations using light scattering in
conjunction with aerosol mass spectrometry, Aerosol Sci. Technol.,
41, 343–359, 2007. a
Curci, G.: FlexAOD: A post-processing tool for Aerosol Optical Properties calculations, Italian Space Agency [code], http://pumpkin.aquila.infn.it/flexaod/, last access: 30 April 2022. a
Curci, G., Hogrefe, C., Bianconi, R., Im, U., Balzarini, A., Baró, R., Brunner, D., Forkel, R., Giordano, L., Hirtl, M., Honzak, L., Jiménez-Guerrero, P., Knote, C., Langer, M., Makar, P., Pirovano, G., Pérez, J., San José, R., Syrakov, D., Tuccella, P., Werhahn, J., Wolke, R., Žabkar, R., Zhang, J., and Galmarini, S.: Uncertainties of
simulated aerosol optical properties induced by assumptions on aerosol
physical and chemical properties: An AQMEII-2 perspective, Atmos.
Environ., 115, 541–552, 2015. a
Curci, G., Alyuz, U., Barò, R., Bianconi, R., Bieser, J., Christensen, J. H., Colette, A., Farrow, A., Francis, X., Jiménez-Guerrero, P., Im, U., Liu, P., Manders, A., Palacios-Peña, L., Prank, M., Pozzoli, L., Sokhi, R., Solazzo, E., Tuccella, P., Unal, A., Vivanco, M. G., Hogrefe, C., and Galmarini, S.: Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions, Atmos. Chem. Phys., 19, 181–204, https://doi.org/10.5194/acp-19-181-2019, 2019. a
Danabasoglu, G., Lamarque, J.-F., Bacmeister, J., Bailey, D. A., DuVivier,
A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A.,
Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M.,
Lenaerts, J. T. M., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R.,
Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van
Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer,
C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E.,
Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch,
P. J., and Strand, W. G.: The Community Earth System Model Version 2 (CESM2),
J. Adv. Model. Earth Syst., 12, e2019MS001916,
https://doi.org/10.1029/2019MS001916, 2020. a
Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A., Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, https://doi.org/10.5194/acp-6-4321-2006, 2006. a
Eggersdorfer, M. L. and Pratsinis, S. E.: The structure of agglomerates
consisting of polydisperse particles, Aerosol Sci. Technol., 46,
347–353, 2012. a
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010. a
Fast, J. D., Gustafson Jr., W. I., Easter, R. C., Zaveri, R. A., Barnard,
J. C., Chapman, E. G., Grell, G. A., and Peckham, S. E.: Evolution of ozone,
particulates, and aerosol direct radiative forcing in the vicinity of Houston
using a fully coupled meteorology-chemistry-aerosol model, J.
Geophys. Res.-Atmos., 111, D21305,
https://doi.org/10.1029/2005JD006721, 2006. a
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock,
W. C., and Eder, B.: Fully coupled ”online” chemistry within the WRF model,
Atmos. Environ., 39, 6957–6975,
https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005. a
Guenther, A., Zimmerman, P., and Wildermuth, M.: Natural volatile organic
compound emission rate estimates for US woodland landscapes, Atmos.
Environ., 28, 1197–1210, 1994. a
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006. a
He, C., Liou, K.-N., Takano, Y., Zhang, R., Levy Zamora, M., Yang, P., Li, Q., and Leung, L. R.: Variation of the radiative properties during black carbon aging: theoretical and experimental intercomparison, Atmos. Chem. Phys., 15, 11967–11980, https://doi.org/10.5194/acp-15-11967-2015, 2015. a
He, C., Li, Q., Liou, K.-N., Qi, L., Tao, S., and Schwarz, J. P.: Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget, Atmos. Chem. Phys., 16, 3077–3098, https://doi.org/10.5194/acp-16-3077-2016, 2016. a
Heinson, W. R., Sorensen, C. M., and Chakrabarti, A.: Does Shape Anisotropy
Control the Fractal Dimension in Diffusion-Limited Cluster-Cluster
Aggregation?, Aerosol Sci. Technol., 44, i–iv,
https://doi.org/10.1080/02786826.2010.516032, 2010. a
Heinson, W. R., Liu, P., and Chakrabarty, R. K.: Fractal scaling of coated
soot aggregates, Aerosol Sci. Technol., 51, 12–19,
https://doi.org/10.1080/02786826.2016.1249786, 2017. a
Hess, M., Koepke, P., and Schult, I.: ”Optical Properties of Aerosols and
Clouds: The Software Package OPAC”, B. Am. Meteorol.
Soc., 79, 831–844, https://doi.org/10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2,
1998. a, b
Highwood, E. J.: Suggested Refractive Indices and Aerosol Size Parameters for
Use in Radiative Effect Calculations and Satellite Retrievals,
ADIENT/APPRAISE CP2 Technical Report, DRAFT V2 (5 August 2009),
http://www.met.rdg.ac.uk/~adient/refractiveindices.html (last access: 3
January 2019), 2009. a
Kahnert, M.: Modelling the optical and radiative properties of freshly emitted light absorbing carbon within an atmospheric chemical transport model, Atmos. Chem. Phys., 10, 1403–1416, https://doi.org/10.5194/acp-10-1403-2010, 2010b. a
Kahnert, M. and Devasthale, A.: Black carbon fractal morphology and short-wave radiative impact: a modelling study, Atmos. Chem. Phys., 11, 11745–11759, https://doi.org/10.5194/acp-11-11745-2011, 2011. a, b, c
Kahnert, M. and Kanngießer, F.: Modelling optical properties of atmospheric
black carbon aerosols, J. Quant. Spectrosc. Ra.
Transf., 244, 106849, https://doi.org/10.1016/j.jqsrt.2020.106849,
2020. a
Köylü, Ü. and Faeth, G.: Structure of overfire soot in buoyant
turbulent diffusion flames at long residence times, Combust. Flame,
89, 140–156, https://doi.org/10.1016/0010-2180(92)90024-J, 1992. a
Lack, D. A. and Cappa, C. D.: Impact of brown and clear carbon on light absorption enhancement, single scatter albedo and absorption wavelength dependence of black carbon, Atmos. Chem. Phys., 10, 4207–4220, https://doi.org/10.5194/acp-10-4207-2010, 2010. a
Lamb, K. D., Perring, A. E., Samset, B., Peterson, D., Davis, S., Anderson,
B. E., Beyersdorf, A., Blake, D. R., Campuzano-Jost, P., Corr, C. A., Diskin,
G. S., Kondo, Y., Moteki, N., Nault, B. A., Oh, J., Park, M., Pusede, S. E.,
Simpson, I. J., Thornhill, K. L., Wisthaler, A., and Schwarz, J. P.:
Estimating Source Region Influences on Black Carbon Abundance, Microphysics,
and Radiative Effect Observed Over South Korea, J. Geophys.
Res.-Atmos., 123, 13527–13548, https://doi.org/10.1029/2018JD029257, 2018. a
Lee, K. O., Cole, R., Sekar, R., Choi, M. Y., Kang, J. S., Bae, C. S., and
Shin, H. D.: Morphological investigation of the microstructure, dimensions,
and fractal geometry of diesel particulates, Proc. Combust.
Inst., 29, 647–653, https://doi.org/10.1016/S1540-7489(02)80083-9, 2002. a
Li, J., Anderson, J. R., and Buseck, P. R.: TEM study of aerosol particles from
clean and polluted marine boundary layers over the North Atlantic, J.
Geophys. Res.-Atmos., 108, 4189,
https://doi.org/10.1029/2002JD002106, 2003. a
Li, M., Zhang, Q., Streets, D. G., He, K. B., Cheng, Y. F., Emmons, L. K., Huo, H., Kang, S. C., Lu, Z., Shao, M., Su, H., Yu, X., and Zhang, Y.: Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms, Atmos. Chem. Phys., 14, 5617–5638, https://doi.org/10.5194/acp-14-5617-2014, 2014. a
Li, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., Cheng, Y., Hong, C., Huo, H., Jiang, X., Kang, S., Liu, F., Su, H., and Zheng, B.: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP, Atmos. Chem. Phys., 17, 935–963, https://doi.org/10.5194/acp-17-935-2017, 2017. a, b
Liu, C., Yin, Y., Hu, F., Jin, H., and Sorensen, C. M.: The Effects of Monomer
Size Distribution on the Radiative Properties of Black Carbon Aggregates,
Aerosol Sci. Technol., 49, 928–940,
https://doi.org/10.1080/02786826.2015.1085953, 2015. a
Liu, C., Chung, C. E., Yin, Y., and Schnaiter, M.: The absorption Ångström exponent of black carbon: from numerical aspects, Atmos. Chem. Phys., 18, 6259–6273, https://doi.org/10.5194/acp-18-6259-2018, 2018. a, b
Liu, D., Whitehead, J., Alfarra, M. R., Reyes-Villegas, E., Spracklen, D. V.,
Reddington, C., Kong, S., Williams, P., Ting, Y.-C., Haslett, S., Taylor, J.,
Flynn, M. J., Morgan, W., McFiggans, G., Coe, H., and Allan, J.: Black-carbon
absorption enhancement in the atmosphere determined by particle mixing state,
Nat. Geosci., 10, 184–188, https://doi.org/10.1038/ngeo2901, 2017. a, b
Liu, F., Zhang, Q., Tong, D., Zheng, B., Li, M., Huo, H., and He, K. B.: High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010, Atmos. Chem. Phys., 15, 13299–13317, https://doi.org/10.5194/acp-15-13299-2015, 2015. a
Liu, L. and Mishchenko, M. I.: Effects of aggregation on scattering and
radiative properties of soot aerosols, J. Geophys.
Res.-Atmos., 110, D11211, https://doi.org/10.1029/2004JD005649,
2005. a, b, c, d
Lu, Q., Liu, C., Zhao, D., Zeng, C., Li, J., Lu, C., Wang, J., and Zhu, B.:
Atmospheric heating rate due to black carbon aerosols: Uncertainties and
impact factors, Atmos. Res., 240, 104891,
https://doi.org/10.1016/j.atmosres.2020.104891, 2020. a, b, c
Luo, J.: Look_up_tables.zip, figshare [data set],
https://figshare.com/articles/dataset/Look_up_tables_zip/13096241, last access: 30 April 2022. a
Luo, J., Zhang, Y., Wang, F., Wang, J., and Zhang, Q.: Applying machine
learning to estimate the optical properties of black carbon fractal
aggregates, J. Quant. Spectrosc. Ra. Transf.,
215, 1–8, https://doi.org/10.1016/j.jqsrt.2018.05.002,
2018a. a
Luo, J., Zhang, Y., Wang, F., and Zhang, Q.: Effects of brown coatings on the absorption enhancement of black carbon: a numerical investigation, Atmos. Chem. Phys., 18, 16897–16914, https://doi.org/10.5194/acp-18-16897-2018, 2018b. a
Luo, J., Zhang, Y., and Zhang, Q.: A model study of aggregates composed of
spherical soot monomers with an acentric carbon shell, J.
Quant. Spectrosc. Ra. Transf., 205, 184–195,
https://doi.org/10.1016/j.jqsrt.2017.10.024, 2018c. a
Luo, J., Zhang, Y. M., Zhang, Q. X., Wang, F., Liu, J., and Wang, J. J.:
Sensitivity analysis of morphology on radiative properties of soot
aerosols, Opt. Express, 26, A420–A432, 2018d. a
Luo, J., Zhang, Q., Luo, J., Liu, J., Huo, Y., and Zhang, Y.: Optical Modeling
of Black Carbon With Different Coating Materials: The Effect of Coating
Configurations, J. Geophys. Res.-Atmos., 124,
13230–13253, https://doi.org/10.1029/2019JD031701, 2019. a, b
Luo, J., Zhang, Q., Zhang, C., Zhang, Y., and Chakrabarty, R. K.: The fractal
characteristics of atmospheric coated soot: Implication for morphological
analysis, J. Aerosol Sci., 157, 105804,
https://doi.org/10.1016/j.jaerosci.2021.105804, 2021a. a
Luo, J., Zhang, Q., Zhang, Y., and Li, Z.: Radiative Properties of
Non-spherical Black Carbon Aerosols, pp. 69–124, Springer International
Publishing, Cham, https://doi.org/10.1007/978-3-030-87683-8_3, 2021b. a
Luo, J., Zhang, Y., and Zhang, Q.: Effects of black carbon morphology on brown carbon absorption estimation: from numerical aspects, Geosci. Model Dev., 14, 2113–2126, https://doi.org/10.5194/gmd-14-2113-2021, 2021c. a
Mackowski, D. W.: MSTM Version 3.0: April 2013, MSTM [code], available at:
http://www.eng.auburn.edu/~dmckwski/scatcodes/ (last access:
30 April 2022), 2013. a
Mackowski, D. W. and Mishchenko, M. I.: Calculation of the T matrix and the
scattering matrix for ensembles of spheres, J. Opt. Soc.
Am. A, 13, 2266–2278, 1996. a
Mackowski, D. W. and Mishchenko, M. I.: A multiple sphere T-matrix Fortran
code for use on parallel computer clusters, J. Quant.
Spectrosc. Ra. Transf., 112, 2182–2192, 2011. a
Martin, R. V., Jacob, D. J., Yantosca, R. M., Chin, M., and Ginoux, P.: Global
and regional decreases in tropospheric oxidants from photochemical effects of
aerosols, J. Geophys. Res.-Atmos., 108, 4097, https://doi.org/10.1029/2002JD002622, 2003. a
Mayer, B. and Kylling, A.: Technical note: The libRadtran software package for radiative transfer calculations – description and examples of use, Atmos. Chem. Phys., 5, 1855–1877, https://doi.org/10.5194/acp-5-1855-2005, 2005. a, b
Mayer, B., Emde, C., Gasteiger, J., and Kylling, A.: libRadtran, libRadtran [code], http://www.libradtran.org/doku.php, last access: 30 April 2022.
Mikhailov, E., Vlasenko, S., Podgorny, I., Ramanathan, V., and Corrigan, C.:
Optical properties of soot–water drop agglomerates: An experimental study,
J. Geophys. Res.-Atmos., 111, D07209, https://doi.org/10.1029/2005JD006389, 2006. a
Mishchenko, M. I., Dlugach, J. M., Yanovitskij, E. G., and Zakharova, N. T.:
Bidirectional reflectance of flat, optically thick particulate layers: an
efficient radiative transfer solution and applications to snow and soil
surfaces, J. Quant. Spectrosc. Ra. Transf., 63,
409–432, 1999. a
Mishchenko, M. I., Travis, L. D., and Lacis, A. A.: Scattering, absorption,
and emission of light by small particles, Cambridge University Press, Cambridge, 1–359, ISBN 9780521782524, 2002. a
Mishchenko, M. I., Dlugach, J. M., and Liu, L.: Linear depolarization of lidar
returns by aged smoke particles, Appl. Opt., 55, 9968–9973,
2016a. a
Mishchenko, M. I., Dlugach, J. M., Yurkin, M. A., Bi, L., Cairns, B., Liu, L.,
Panetta, R. L., Travis, L. D., Yang, P., and Zakharova, N. T.:
First-principles modeling of electromagnetic scattering by discrete and
discretely heterogeneous random media, Phys. Rep., 632, 1–75,
https://doi.org/10.1016/j.physrep.2016.04.002, 2016b. a
Moosmüller, H., Chakrabarty, R., and Arnott, W.: Aerosol light absorption
and its measurement: A review, J. Quant. Spectrosc.
Ra. Transf., 110, 844–878, 2009. a
Nakao, S., Tang, P., Tang, X., Clark, C. H., Qi, L., Seo, E., Asa-Awuku, A.,
and Cocker III, D.: Density and elemental ratios of secondary organic
aerosol: Application of a density prediction method, Atmos.
Environ., 68, 273–277, 2013. a
Rajesh, T. and Ramachandran, S.: Black carbon aerosols over urban and high
altitude remote regions: Characteristics and radiative implications,
Atmos. Environ., 194, 110–122, 2018. a
Reddington, C. L., McMeeking, G., Mann, G. W., Coe, H., Frontoso, M. G., Liu, D., Flynn, M., Spracklen, D. V., and Carslaw, K. S.: The mass and number size distributions of black carbon aerosol over Europe, Atmos. Chem. Phys., 13, 4917–4939, https://doi.org/10.5194/acp-13-4917-2013, 2013. a
Saleh, R., Marks, M., Heo, J., Adams, P. J., Donahue, N. M., and Robinson,
A. L.: Contribution of brown carbon and lensing to the direct radiative
effect of carbonaceous aerosols from biomass and biofuel burning emissions,
J. Geophys. Res.-Atmos., 120, 10285–10296,
https://doi.org/10.1002/2015JD023697, 2015. a, b
Schwarz, J. P., Gao, R. S., Spackman, J. R., Watts, L. A., Thomson, D. S., Fahey, D. W., Ryerson, T. B., Peischl, J., Holloway, J. S., Trainer, M., Frost, G. J., Baynard, T., Lack, D. A., de Gouw, J. A., Warneke, C., and Del Negro, L. A.: Measurement of the
mixing state, mass, and optical size of individual black carbon particles in
urban and biomass burning emissions, Geophys. Res. Lett., 35, L13810, https://doi.org/10.1029/2008GL033968, 2008. a
Seinfeld, J. H., Erdakos, G. B., Asher, W. E., and Pankow, J. F.: Modeling the
formation of secondary organic aerosol (SOA). 2. The predicted effects of
relative humidity on aerosol formation in the α-pinene-,
β-pinene-, sabinene-, Δ3-carene-, and cyclohexene-ozone
systems, Environ. Sci. Technol., 35, 1806–1817, 2001. a
Shaheen, K., Shah, Z., Suo, H. L., Liu, M., Ma, L., Alam, K., Gul, A., Cui, J.,
Li, C. Y., Wang, Y., Khan, S. A., and Khan, S. B.: Aerosol clustering in an
urban environment of Beijing during (2005-2017), Atmos. Environ.,
213, 534–547, https://doi.org/10.1016/j.atmosenv.2019.06.027, 2019. a
Shin, S.-K., Tesche, M., Müller, D., and Noh, Y.: Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes, Atmos. Meas. Tech., 12, 607–618, https://doi.org/10.5194/amt-12-607-2019, 2019a. a
Shin, S.-K., Tesche, M., Noh, Y., and Müller, D.: Aerosol-type classification based on AERONET version 3 inversion products, Atmos. Meas. Tech., 12, 3789–3803, https://doi.org/10.5194/amt-12-3789-2019, 2019b. a
Sorensen, C.: The mobility of fractal aggregates: a review, Aerosol Sci. Technol., 45, 765–779, 2011. a
Stamnes, K., Tsay, S.-C., Wiscombe, W., and Jayaweera, K.: Numerically stable
algorithm for discrete-ordinate-method radiative transfer in multiple
scattering and emitting layered media, Appl. Opt., 27, 2502–2509, 1988. a
Stockwell, W. R., Middleton, P., Chang, J. S., and Tang, X.: The second
generation regional acid deposition model chemical mechanism for regional air
quality modeling, J. Geophys. Res.-Atmos., 95,
16343–16367, https://doi.org/10.1029/JD095iD10p16343, 1990. a
Streets, D. G., Gupta, S., Waldhoff, S. T., Wang, M. Q., Bond, T. C., and
Yiyun, B.: Black carbon emissions in China, Atmos. Environ., 35,
4281–4296, https://doi.org/10.1016/S1352-2310(01)00179-0, 2001. a
Streets, D. G., Wu, Y., and Chin, M.: Two-decadal aerosol trends as a likely
explanation of the global dimming/brightening transition, Geophys.
Res. Lett., 33, L15806, https://doi.org/10.1029/2006GL026471,
2006. a
Sun, J., Wang, Z., Zhou, W., Xie, C., Wu, C., Chen, C., Han, T., Wang, Q., Li, Z., Li, J., Fu, P., Wang, Z., and Sun, Y.: Measurement report: Long-term changes in black carbon and aerosol optical properties from 2012 to 2020 in Beijing, China, Atmos. Chem. Phys., 22, 561–575, https://doi.org/10.5194/acp-22-561-2022, 2022. a, b
Takemura, T., Nozawa, T., Emori, S., Nakajima, T. Y., and Nakajima, T.:
Simulation of climate response to aerosol direct and indirect effects with
aerosol transport-radiation model, J. Geophys. Res.-Atmos., 110, D02202, https://doi.org/10.1029/2004JD005029, 2005. a
Takemura, T., Egashira, M., Matsuzawa, K., Ichijo, H., O'ishi, R., and Abe-Ouchi, A.: A simulation of the global distribution and radiative forcing of soil dust aerosols at the Last Glacial Maximum, Atmos. Chem. Phys., 9, 3061–3073, https://doi.org/10.5194/acp-9-3061-2009, 2009. a
Teng, S., Liu, C., Schnaiter, M., Chakrabarty, R. K., and Liu, F.: Accounting for the effects of nonideal minor structures on the optical properties of black carbon aerosols, Atmos. Chem. Phys., 19, 2917–2931, https://doi.org/10.5194/acp-19-2917-2019, 2019. a
Tuccella, P., Curci, G., Pitari, G., Lee, S., and Jo, D. S.: Direct Radiative
Effect of Absorbing Aerosols: Sensitivity to Mixing State, Brown Carbon, and
Soil Dust Refractive Index and Shape, J. Geophys. Res.-Atmos., 125, e2019JD030967,
https://doi.org/10.1029/2019JD030967,
2020. a, b
EPA: United States Environmental Protection Agency, EPA [data set], https://www.epa.gov/outdoor-air-quality-data/download-daily-data, last access: 30 April 2022. a
Wang, J.: Air quality historical data query, [code], https://www.aqistudy.cn/historydata/, last access: 30 April 2022. a
Wang, X., Heald, C. L., Ridley, D. A., Schwarz, J. P., Spackman, J. R., Perring, A. E., Coe, H., Liu, D., and Clarke, A. D.: Exploiting simultaneous observational constraints on mass and absorption to estimate the global direct radiative forcing of black carbon and brown carbon, Atmos. Chem. Phys., 14, 10989–11010, https://doi.org/10.5194/acp-14-10989-2014, 2014. a
Wang, Y., Li, W., Huang, J., Liu, L., Pang, Y., He, C., Liu, F., Liu, D., Bi,
L., Zhang, X., and Shi, Z.: Nonlinear Enhancement of Radiative Absorption by
Black Carbon in Response to Particle Mixing Structure, Geophys. Res.
Lett., 48, e2021GL096437, https://doi.org/10.1029/2021GL096437, 2021a. a, b
Wang, Y., Pang, Y., Huang, J., Bi, L., Che, H., Zhang, X., and Li, W.:
Constructing Shapes and Mixing Structures of Black Carbon Particles With
Applications to Optical Calculations, J. Geophys. Res.-Atmos., 126, e2021JD034620,
https://doi.org/10.1029/2021JD034620,
2021b. a
Wang, Y., Pang, Y., Huang, J., Bi, L., Che, H., Zhang, X., and Li, W.:
Constructing shapes and mixing structures of black carbon particles with
applications to optical calculations, J.f Geophys. Res.-Atmos., 126, e2021JD034620, https://doi.org/10.1029/2021JD034620, 2021c. a
Wentzel, M., Gorzawski, H., Naumann, K.-H., Saathoff, H., and Weinbruch, S.:
Transmission electron microscopical and aerosol dynamical characterization
of soot aerosols, J. Aerosol Sci., 34, 1347–1370,
https://doi.org/10.1016/S0021-8502(03)00360-4, 2003. a
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J. A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011, 2011. a
Wild, O., Zhu, X., and Prather, M. J.: Fast-J: Accurate simulation of in-and
below-cloud photolysis in tropospheric chemical models, J.
Atmos. Chem., 37, 245–282, 2000. a
Wong, K. Y.: Weather Research and Forecasting model coupled to Chemistry (WRF-Chem), WRF-Chem Support [code], https://ruc.noaa.gov/wrf/wrf-chem/, last access: 30 April 2022. a
Wu, Y., Cheng, T. H., Zheng, L. J., and Chen, H.: A Study of Optical
Properties of Soot Aggregates Composed of Poly-Disperse Monomers Using the
Superposition T-Matrix Method, Aerosol Sci. Technol., 49, 941–949, 2015. a
Yin, J. Y. and Liu, L. H.: Influence of complex component and particle
polydispersity on radiative properties of soot aggregate in atmosphere,
J. Quant. Spectrosc. Ra. Transf., 111, 2115–2126, 2010. a
Yu, P. F., Toon, O. B., Bardeen, C. G., Zhu, Y. Q., Rosenlof, K. H., Portmann,
R. W., Thornberry, T. D., Gao, R. S., Davis, S. M., Wolf, E. T., de Gouw, J.,
Peterson, D. A., Fromm, M. D., and Robock, A.: Black carbon lofts wildfire
smoke high into the stratosphere to form a persistent plume, Science, 365,
587–590, 2019. a
Yuan, Q., Xu, J., Wang, Y., Zhang, X., Pang, Y., Liu, L., Bi, L., Kang, S., and
Li, W.: Mixing state and fractal dimension of soot particles at a remote site
in the southeastern Tibetan plateau, Environ. Sci. Technol., 53,
8227–8234, 2019. a
Zaveri, R. A. and Peters, L. K.: A new lumped structure photochemical
mechanism for large-scale applications, J. Geophys. Res.-Atmos., 104, 30387–30415, https://doi.org/10.1029/1999JD900876, 1999. a, b
Zaveri, R. A., Easter, R. C., Fast, J. D., and Peters, L. K.: Model for
Simulating Aerosol Interactions and Chemistry (MOSAIC), J.
Geophys. Res.-Atmos., 113, D13204, https://doi.org/10.1029/2007JD008782, 2008. a
Zhang, Q., Streets, D. G., Carmichael, G. R., He, K. B., Huo, H., Kannari, A., Klimont, Z., Park, I. S., Reddy, S., Fu, J. S., Chen, D., Duan, L., Lei, Y., Wang, L. T., and Yao, Z. L.: Asian emissions in 2006 for the NASA INTEX-B mission, Atmos. Chem. Phys., 9, 5131–5153, https://doi.org/10.5194/acp-9-5131-2009, 2009. a
Zhang, X., Mao, M., Yin, Y., and Wang, B.: Numerical Investigation on
Absorption Enhancement of Black Carbon Aerosols Partially Coated With
Nonabsorbing Organics, J. Geophys. Res.-Atmos., 123,
1297–1308, https://doi.org/10.1002/2017JD027833, 2018. a
Zhang, X. Y., Wang, Y. Q., Niu, T., Zhang, X. C., Gong, S. L., Zhang, Y. M., and Sun, J. Y.: Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols, Atmos. Chem. Phys., 12, 779–799, https://doi.org/10.5194/acp-12-779-2012, 2012. a
Zhuang, B., Li, S., Wang, T., Liu, J., Chen, H., Chen, P., Li, M., and Xie, M.:
Interaction between the black carbon aerosol warming effect and East Asian
monsoon using RegCM4, J. Climate, 31, 9367–9388, 2018. a
Zhuang, B. L., Chen, H. M., Li, S., Wang, T. J., Liu, J., Zhang, L. J., Liu,
H. N., Xie, M., Chen, P. L., Li, M. M., and Zhao, M.: The direct effects of
black carbon aerosols from different source sectors in East Asia in summer,
Clim. Dynam., 53, 5293–5310, https://doi.org/10.1007/s00382-019-04863-5, 2019. a, b, c
Short summary
The fractal black carbon was applied to re-evaluate the regional impacts of morphologies on aerosol–radiation interactions (ARIs), and the effects were compared between the US and China. The regional-mean clear-sky ARI is significantly affected by the BC morphology, and relative differences of 17.1 % and 38.7 % between the fractal model with a Df of 1.8 and the spherical model were observed in eastern China and the northwest US, respectively.
The fractal black carbon was applied to re-evaluate the regional impacts of morphologies on...
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