Abstract
Atmospheric particles may somewhat counterbalance the global warming effect of the Earth’s atmosphere due to greenhouse gases by directly contributing to the Earth’s climate through light scattering and absorption processes. According to the IPCC report (IPCC in Climate change 2013: the physical science basis. New York: Cambridge Univ. Press, 2013), the contribution of such particles to the Earth’s radiative budget however remains difficult to handle and quantify, mainly due to the complexity of these particles, which present a wide range of sizes, shapes and complex refractive indices. To face such a complexity, a major source of global data on these particles is provided by ground-based and satellite-based lidar remote sensing instruments, which are based on light backscattering and extinction by atmospheric particles. In this context, this book chapter proposes to present some recent advances in the field of light backscattering by complex-shaped atmospheric particles at specific backward scattering angle (\(\theta =\pi\)) at which lidar instruments operate, for the first time to our knowledge in laboratory where a π-polarimeter has been built and operated for aerosols (Miffre et al. in J Quant Spectrosc Radiat Transf 169:79–90, 2016; Miffre et al. in J Quant Spectrosc Radiat Transf 222–223:45–59, 2019b; Miffre et al. Atmos Meas Tech, 2022). These papers are the results of a team work in which Prof. Rairoux’s expertise in lidar remote sensing and laser spectroscopy played a key role. This work also owes much to former PhD students, G. David and D. Cholleton, who also played a key role. Laboratory experiments at near (\(\theta <\pi )\) backscattering angles are likewise proposed in complement as well as cooperative works with ONERA (Paulien et al. in J Quant Spectrosc Radiat Transf 260, 2021) and chemical colleagues from Lyon University (France) and North Carolina University (USA) (Dubois et al. in Phys Chem Chem Phys 23:5927–5935, 2021) to explore light backscattering by complex-shaped particles. The benefits of this new laboratory approach, in comparison with existing light scattering numerical simulations and lidar field experiments, is discussed. We hope this book chapter will improve our understanding of the complex physical process of light backscattering by atmospheric particles, to in turn improve our understanding of the radiative properties of complex-shaped atmospheric particles, to provide answer to radiative transfer issues.
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References
Ackerman TP, Toon OB (1981) Absorption of visible radiation in atmosphere containing mixtures of absorbing and nonabsorbing particles. Appl Opt 20:3661. https://doi.org/10.1364/AO.20.003661
Ansmann A, Petzold A, Kandler K, Tegen I, Wendisch M, Müller D, Weinzierl B, Müller T, Heintzenberg J (2011) Saharan Mineral Dust Experiments SAMUM–1 and SAMUM–2: what have we learned? Tellus B Chem. Phys Meteorol 63:403–429. https://doi.org/10.1111/j.1600-0889.2011.00555.x
Behrendt A, Nakamura T (2002) Calculation of the calibration constant of polarization lidar and its dependency on atmospheric temperature. Opt Express 10:805–817. https://doi.org/10.1364/OE.10.000805
Bohren CF, Huffman DR (1983) Absorption and scattering of light by small particles. Wiley-VCH, Weinheim
Burton SP, Chemyakin E, Liu X, Knobelspiesse K, Stamnes S, Sawamura P, Moore RH, Hostetler CA, Ferrare RA (2016) Information content and sensitivity of the 3 β + 2 α lidar measurement system for aerosol microphysical retrievals. Atmos Meas Tech 9:5555–5574. https://doi.org/10.5194/amt-9-5555-2016
Chien C-H, Theodore A, Wu C-Y, Hsu Y-M, Birky B (2016) Upon correlating diameters measured by optical particle counters and aerodynamic particle sizers. J Aerosol Sci 101:77–85. https://doi.org/10.1016/j.jaerosci.2016.05.011
Cholleton D, Bialic E, Dumas A, Kaluzny P, Rairoux P, Miffre A (2020) Laboratory evaluation of the (VIS, IR) scattering matrix of complex-shaped ragweed pollen particles. J Quant Spectrosc Radiat Transf 254:107223. https://doi.org/10.1016/j.jqsrt.2020.107223
Cholleton D, Bialic É, Dumas A, Kaluzny P, Rairoux P, Miffre A (2022) Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollen towards pollen classification. Atmos Meas Tech 15:1021–1032. https://doi.org/10.5194/amt-15-1021-2022
Cotterell MI, Willoughby RE, Bzdek BR, Orr-Ewing AJ, Reid JP (2017) A complete parameterisation of the relative humidity and wavelength dependence of the refractive index of hygroscopic inorganic aerosol particles. Atmos Chem Phys 17:9837–9851. https://doi.org/10.5194/acp-17-9837-2017
Dabrowska DD, Muñoz O, Moreno F, Nousiainen T, Zubko E, Marra AC (2013) Experimental and simulated scattering matrices of small calcite particles at 647nm. J Quant Spectrosc Radiat Transf 124:62–78. https://doi.org/10.1016/j.jqsrt.2013.02.010
David G (2013) Polarization-resolved backscattering from nanoparticles in the atmosphere: field and laboratory experiments
David G, Miffre A, Thomas B, Rairoux P (2012) Sensitive and accurate dual-wavelength UV-VIS polarization detector for optical remote sensing of tropospheric aerosols. Appl Phys B 108:197–216. https://doi.org/10.1007/s00340-012-5066-x
David G, Thomas B, Dupart Y, D’Anna B, George C, Miffre A, Rairoux P (2014) UV polarization lidar for remote sensing new particles formation in the atmosphere. Opt Express 22:A1009. https://doi.org/10.1364/OE.22.0A1009
David G, Thomas B, Nousiainen T, Miffre A, Rairoux P (2013) Retrieving simulated volcanic, desert dust and sea-salt particle properties from two/three-component particle mixtures using UV-VIS polarization lidar and T matrix. Atmos Chem Phys 13:6757–6776. https://doi.org/10.5194/acp-13-6757-2013
Dubois C, Cholleton D, Gemayel R, Chen Y, Surratt JD, George C, Rairoux P, Miffre A, Riva M (2021) Decrease in sulfate aerosol light backscattering by reactive uptake of isoprene epoxydiols. Phys Chem Chem Phys 23:5927–5935. https://doi.org/10.1039/D0CP05468B
Dubovik O, Sinyuk A, Lapyonok T, Holben BN, Mishchenko M, Yang P, Eck TF, Volten H, Muñoz O, Veihelmann B, van der Zande WJ, Leon J-F, Sorokin M, Slutsker I (2006a) Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. J Geophys Res 111:D11208. https://doi.org/10.1029/2005JD006619
Dubovik O, Sinyuk A, Lapyonok T, Holben BN, Mishchenko M, Yang P, Eck TF, Volten H, Muñoz O, Veihelmann B, van der Zande WJ, Leon J-F, Sorokin M, Slutsker I (2006b) Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. J Geophys Res Atmos 111. https://doi.org/10.1029/2005JD006619
Dupart Y, King SM, Nekat B, Nowak A, Wiedensohler A, Herrmann H, David G, Thomas B, Miffre A, Rairoux P, D’Anna B, George C (2012) Mineral dust photochemistry induces nucleation events in the presence of SO2. Proc Natl Acad Sci U S A 109:20842–20847. https://doi.org/10.1073/pnas.1212297109
Freudenthaler V, Esselborn M, Wiegner M, Heese B, Tesche M, Ansmann A, MüLLER D, Althausen D, Wirth M, Fix A, Ehret G, Knippertz P, Toledano C, Gasteiger J, Garhammer M, Seefeldner M (2009) Depolarization ratio profiling at several wavelengths in pure Saharan dust during SAMUM 2006. Tellus B Chem Phys Meteorol 61:165–179. https://doi.org/10.1111/j.1600-0889.2008.00396.x
Fu R, Wang C, Muñoz O, Videen G, Santarpia JL, Pan YL (2017) Elastic back-scatteringpatterns via particle surface roughness and orientation from single trapped airborne aerosol particles. J Quant Spectro Radiat Transfer 187:224–231
Gasteiger J, Wiegner M, GROß S, Freudenthaler V, Toledano C, Tesche M, Kandler K (2011) Modelling lidar-relevant optical properties of complex mineral dust aerosols. Tellus Ser B Chem Phys Meteorol 63:725–741. https://doi.org/10.1111/j.1600-0889.2011.00559.x
Gautam P, Maughan JB, Ilavsky J, Sorensen CM (2020) Light scattering study of highly absorptive, non-fractal, hematite aggregates. J Quant Spectrosc Radiat Transf 246:106919. https://doi.org/10.1016/j.jqsrt.2020.106919
Glen A, Brooks SD (2013) A new method for measuring optical scattering properties of atmospherically relevant dusts using the Cloud and Aerosol Spectrometer with Polarization (CASPOL). Atmos Chem Phys 13:1345–1356. https://doi.org/10.5194/acp-13-1345-2013
Go S, Lyapustin A, Schuster GL, Choi M, Ginoux P, Chin M, Kalashnikova O, Dubovik O, Kim J, da Silva A, Holben B, Reid JS (2022) Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations. Atmos Chem Phys 22:1395–1423. https://doi.org/10.5194/acp-22-1395-2022
Gómez Martín JC, Guirado D, Frattin E, Bermudez-Edo M, Cariñanos Gonzalez P, Olmo Reyes FJ, Nousiainen T, Gutiérrez PJ, Moreno F, Muñoz O (2021) On the application of scattering matrix measurements to detection and identification of major types of airborne aerosol particles: Volcanic ash, desert dust and pollen. J Quant Spectrosc Radiat Transf 271:107761. https://doi.org/10.1016/j.jqsrt.2021.107761
Haarig M, Ansmann A, Baars H, Jimenez C, Veselovskii I, Engelmann R, Althausen D (2018) Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke. Atmos Chem Phys 18:11847–11861. https://doi.org/10.5194/acp-18-11847-2018
Haarig M, Ansmann A, Engelmann R, Baars H, Toledano C, Torres B, Althausen D, Radenz M, Wandinger U (2022) First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust. Atmos Chem Phys 22:355–369. https://doi.org/10.5194/acp-22-355-2022
Hofer J, Ansmann A, Althausen D, Engelmann R, Baars H, Fomba, KW, Wandinger U, Abdullaev SF, Makhmudov AN (2020) Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm. Atmos Chem Phys 20:9265–9280. https://doi.org/10.5194/acp-20-9265-2020
Huang X, Yang P, Kattawar G, Liou K-N (2015) Effect of mineral dust aerosol aspect ratio on polarized reflectance. J Quant Spectrosc Radiat Transf 151:97–109. https://doi.org/10.1016/j.jqsrt.2014.09.014
Huang Y, Liu C, Yao B, Yin Y, Bi L (2020) Scattering matrices of mineral dust aerosols: a refinement of the refractive index impact. Atmos Chem Phys 20:2865–2876. https://doi.org/10.5194/acp-20-2865-2020
Hunt AJ (1973) A new polarization-modulated light scattering instrument. Rev Sci Instrum 44:1753. https://doi.org/10.1063/1.1686049
IPCC (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 Univ. Press, New York, NY.
Järvinen E, Kemppinen O, Nousiainen T, Kociok T, Möhler O, Leisner T, Schnaiter M (2016) Laboratory investigations of mineral dust near-backscattering depolarization ratios. J Quant Spectrosc Radiat Transf Electromagnetic Light Scattering Nonspherical Particles XV: Celebrating 150 years of Maxwell’s electromagnetics 178:192–208. https://doi.org/10.1016/j.jqsrt.2016.02.003
Kahnert M (2015) Modelling radiometric properties of inhomogeneous mineral dust particles: Applicability and limitations of effective medium theories. J Quant Spectrosc Radiat Transf 152:16–27. https://doi.org/10.1016/j.jqsrt.2014.10.025
Kahnert M, Kanngießer F, Järvinen E, Schnaiter M (2020) Aerosol-optics model for the backscatter depolarisation ratio of mineral dust particles. J Quant Spectrosc Radiat Transf 254:107177. https://doi.org/10.1016/j.jqsrt.2020.107177
Kahnert M, Nousiainen T, Lindqvist H (2014) Review: Model particles in atmospheric optics. J Quant Spectrosc Radiat Transf 146:41–58. https://doi.org/10.1016/j.jqsrt.2014.02.014
Kahnert M, Nousiainen T, Räisainen P (2007) Mie simulations as an error source in mineral aerosol radiative forcing calculations. QJR 133:299–307. https://doi.org/10.1002/qj.40
Kahnert M, Nousiainen T, Thomas MA, Tyynelä J (2012) Light scattering by particles with small-scale surface roughness: comparison of four classes of model geometries. J Quant Spectrosc Radiat Transf Electromagnetic Light Scatter Non-Spherical Particles XIII 113:2356–2367. https://doi.org/10.1016/j.jqsrt.2012.03.017
Kahnert M, Rother T (2011) Modeling optical properties of particles with small-scale surface roughness: combination of group theory with a perturbation approach. Opt Express 19:11138–11151. https://doi.org/10.1364/OE.19.011138
Kemppinen O, Nousiainen T, Lindqvist H (2015) The impact of surface roughness on scattering by realistically shaped wavelength-scale dust particles. J Quant Spectrosc Radiat Transf 150:55–67. https://doi.org/10.1016/j.jqsrt.2014.05.024
Kuga Y, Ishimaru A (1984) Retroreflectance from a dense distribution of spherical particles. J Opt Soc Am A 1:831–835
Laan EC, Volten H, Stam DM, Muñoz O, Hovenier JW, Roush TL (2009) Scattering matrices and expansion coefficients of martian analogue palagonite particles. Icarus 199:219–230. https://doi.org/10.1016/j.icarus.2008.08.011
Liou K, Lahore H (1974) Laser sensing of cloud composition: a backscattered depolarization technique. J Appl Meteorol
Liu C, Lee Panetta R, Yang P (2014) Inhomogeneity structure and the applicability of effective medium approximations in calculating light scattering by inhomogeneous particles. J Quant Spectrosc Radiat Transf 146:331–348. https://doi.org/10.1016/j.jqsrt.2014.03.018
Liu L, Mishchenko MI, Hovenier JW, Volten H, Muñoz O (2003) Scattering matrix of quartz aerosols: comparison and synthesis of laboratory and Lorenz-Mie results. J Quant Spectrosc Radiat Transf 79–80:911–920. https://doi.org/10.1016/S0022-4073(02)00328-X
Liu L, Mishchenko MI (2018) Scattering and radiative properties of morphologically complex carbonaceous aerosols: a systematic modeling study. Remote Sens 10(10). https://doi.org/10.3390/rs10101634
Mehri T (2018) Rétrodiffusion (UV, VIS) résolue en polarisation de particules d’origine désertique: expériences de laboratoire et en atmosphère réelle par lidar
Mehri T, Kemppinen O, David G, Lindqvist H, Tyynelä J, Nousiainen T, Rairoux P, Miffre A (2018) Investigating the size, shape and surface roughness dependence of polarization lidars with light-scattering computations on real mineral dust particles: Application to dust particles’ external mixtures and dust mass concentration retrievals. Atmospheric Res 203:44–61. https://doi.org/10.1016/j.atmosres.2017.11.027
Merikallio S, Lindqvist H, Nousiainen T, Kahnert M (2011) Modelling light scattering by mineral dust using spheroids: assessment of applicability. Atmospheric Chem. Phys. 11:5347–5363. https://doi.org/10.5194/acp-11-5347-2011
Mie G (1908) Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen. Ann Phys 330:377–445. https://doi.org/10.1002/andp.19083300302
Miffre A, Cholleton D, Mehri T, Rairoux P (2019a) Remote Sensing Observation of New Particle Formation Events with a (UV, VIS) Polarization Lidar. Remote Sens 11:1761. https://doi.org/10.3390/rs11151761
Miffre A, Cholleton D, Noel, C. and Rairoux P (2022) Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle, submitted to Atmos Meas Tech
Miffre A, Cholleton D, Rairoux P (2020) On the use of light polarization to investigate the size, shape, and refractive index dependence of backscattering Ångström exponents. Opt Lett 45:1084. https://doi.org/10.1364/OL.385107
Miffre A, Cholleton D, Rairoux P (2019b) Laboratory evaluation of the scattering matrix elements of mineral dust particles from 176.0° up to 180.0°-exact backscattering angle. J Quant Spectrosc Radiat Transf 222–223:45–59. https://doi.org/10.1016/j.jqsrt.2018.10.019
Miffre A, David G, Thomas B, Rairoux P (2011) Atmospheric non-spherical particles optical properties from UV-polarization lidar and scattering matrix. Geophys Res Lett 38:L16804. https://doi.org/10.1029/2011GL048310
Miffre A, David G, Thomas B, Rairoux P, Fjaeraa AM, Kristiansen NI, Stohl A (2012) Volcanic aerosol optical properties and phase partitioning behavior after long-range advection characterized by UV-Lidar measurements. Atmos Environ 48:76–84. https://doi.org/10.1016/j.atmosenv.2011.03.057
Miffre A, Mehri T, Francis M, Rairoux P (2016) UV–VIS depolarization from Arizona Test Dust particles at exact backscattering angle. J Quant Spectrosc Radiat Transf 169:79–90. https://doi.org/10.1016/j.jqsrt.2015.09.016
Mishchenko MI (2009) Electromagnetic scattering by nonspherical particles: a tutorial review. J Quant Spectrosc Radiat Transf 110:808–832. https://doi.org/10.1016/j.jqsrt.2008.12.005
Mishchenko MI, Hovenier JW (1995) Depolarization of light backscattered by randomly oriented nonspherical particles. Opt Lett 20:1356. https://doi.org/10.1364/OL.20.001356
Mishchenko MI, Hovenier JW, Mackowski DW (2004a) Single scattering by a small volume element. J Opt Soc Am A Opt Image Sci Vis 21:71–87. https://doi.org/10.1364/JOSAA.21.000071
Mishchenko MI, Liu L, Travis LD, Lacis AA (2004b) Scattering and radiative properties of semi-external versus external mixtures of different aerosol types. J Quant Spectrosc Radiat Transf 88:139–147. https://doi.org/10.1016/j.jqsrt.2003.12.032
Mishchenko MI, Liu L, Videen G (2007) Conditions of applicability of the single-scattering approximation. Opt Express 15:7522. https://doi.org/10.1364/OE.15.007522
Mishchenko MI, Travis L, Lacis A (2002) Scattering, absorption, and emission of light by small particles. Cambridge
Mishchenko MI, Travis LD (1998) Capabilities and limitations of a current FORTRAN implementation of the T-matrix method for randomly oriented, rotationally symmetric scatterers. J Quant Spectrosc Radiat Transf 60:309–324. https://doi.org/10.1016/S0022-4073(98)00008-9
Mishchenko MI, Dlugach ZM, Zakharova NT (2013) Direct demonstration of the concept of unrestricted effective-medium approximations. Opt Lett 39:3935–3938
Monge M, Rosenorn T, Favez O, Müller M, Adler G, Abo Riziq A, Rudich Y, Hermann H, George C, D’Anna B (2012) Alternative pathway for atmospheric particles growth. Proc 109, 6840–4. https://doi.org/10.1073/pnas.1120593109
Müller D, Veselovskii I, Kolgotin A, Tesche M, Ansmann A, Dubovik O (2013) Vertical profiles of pure dust and mixed smoke–dust plumes inferred from inversion of multiwavelength Raman/polarization lidar data and comparison to AERONET retrievals and in situ observations. Appl Opt 52:3178. https://doi.org/10.1364/AO.52.003178
Muñoz O, Hovenier JW (2011) Laboratory measurements of single light scattering by ensembles of randomly oriented small irregular particles in air: a review. J Quant Spectrosc Radiat Transf 112:1646–1657. https://doi.org/10.1016/j.jqsrt.2011.02.005
Nakayama T, Sato K, Imamura T, Matsumi Y (2018) Effect of oxidation process on complex refractive index of secondary organic aerosol generated from isoprene. Environ Sci Technol 52:2566–2574. https://doi.org/10.1021/acs.est.7b05852
Nousiainen T (2009) Optical modeling of mineral dust particles: a review. J Quant Spectrosc Radiat Transf 110:1261–1279. https://doi.org/10.1016/j.jqsrt.2009.03.002
Olson N, Lei Z, Craig RL, Zhang Y, Chen Y, Lambe AT, Zhang Z, Gold A, Surratt JD, Ault AP (2019) Reactive uptake of isoprene epoxydiols increases the viscosity of the core of phase-separated aerosol particles. ACS Earth Space Chem. acsearthspacechem.9b00138. https://doi.org/10.1021/acsearthspacechem.9b00138
Ovadnevaite J, Ceburnis D, Plauskaite-Sukiene K, Modini R, Dupuy R, Rimselyte I, Ramonet M, Kvietkus K, Ristovski Z, Berresheim H, O’Dowd CD (2009) Volcanic sulphate and arctic dust plumes over the North Atlantic Ocean. Atmos Environ 43:4968–4974. https://doi.org/10.1016/j.atmosenv.2009.07.007
Paulien L, Ceolato R, Fossard F, Rairoux P, Miffre A (2021) (UV, VIS) Laboratory evaluation of the lidar depolarization ratio of freshly emitted soot aggregates from pool fire in ambient air at exact backscattering angle. J Quant Spectrosc Radiat Transf 260:107451. https://doi.org/10.1016/j.jqsrt.2020.107451
Perry R, Hunt A, Huffman D (1978) Experimental determinations of Mueller scattering matrices for nonspherical particles. Appl Opt 17:2700–2710. https://doi.org/10.1364/AO.17.002700
Räisänen P, Haapanala P, Chung CE, Kahnert M, Makkonen R, Tonttila J, Nousiainen T (2013) Impact of dust particle non-sphericity on climate simulations. QJR Meteorol Soc 139:2222–2232. https://doi.org/10.1002/qj.2084
Riva M, Chen Y, Zhang Y, Lei Z, Olson N, Boyer HC, Narayan S, Yee LD, Green H, Cui T, Zhang Z, Baumann KD, Fort M, Edgerton ES, Budisulistiorini S, Rose CA, Ribeiro I, de Oliveira RL, Santos E, Szopa S, Machado C, Zhao Y, Alves E, de Sa S, Hu W, Knipping E, Shaw S, Duvoisin Junior S, Souza RAF. de Palm BB, Jimenez JL, Glasius M, Goldstein AH, Pye HOT, Gold A, Turpin BJ, Vizuete W, Martin ST, Thornton J, Dutcher CS, Ault AP, Surratt JD (2019) Increasing Isoprene Epoxydiol-to-Inorganic Sulfate Aerosol (IEPOX:Sulf inorg ) ratio results in extensive conversion of inorganic sulfate to organosulfur forms: implications for aerosol physicochemical properties. Environ Sci Technol acs.est.9b01019. https://doi.org/10.1021/acs.est.9b01019
Saito M, Yang P, Ding J, Liu X (2021) A comprehensive database of the optical properties of irregular aerosol particles for radiative transfer simulations. J Atmos Sci 78:2089–2111. https://doi.org/10.1175/JAS-D-20-0338.1
Sakai T, Nagai T, Zaizen Y, Mano Y (2010) Backscattering linear depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate particles simulated in a laboratory chamber. Appl Opt 49:4441. https://doi.org/10.1364/AO.49.004441
Schnaiter M, Büttner S, Möhler O, Skrotzki J, Vragel M, Wagner R (2012) Influence of particle size and shape on the backscattering linear depolarisation ratio of small ice crystals-cloud chamber measurements in the context of contrail and cirrus microphysics. Atmos Chem Phys 12:10465–10484. https://doi.org/10.5194/acp-12-10465-2012
Seinfeld JH, Pandis SN (2006) Atmospheric chemistry and physics: from air pollution to climate change, 2nd edn. J. Wiley, Hoboken, N.J
Shakya KM, Peltier RE (2015) Non-sulfate sulfur in fine aerosols across the United States: insight for organosulfate prevalence. Atmos Environ 100:159–166. https://doi.org/10.1016/j.atmosenv.2014.10.058
Shakya KM, Peltier RE (2013) Investigating missing sources of sulfur at fairbanks. Alaska Environ Sci Technol 47:9332–9338. https://doi.org/10.1021/es402020b
Stier P, Seinfeld JH, Kinne S, Boucher O (2007) Aerosol absorption and radiative forcing. Atmos Chem Phys 25
Studinski RC, Vitkin IA (2000) Methodology for examining polarized light interactions with tissues and tissuelike media in the exact backscattering direction. J Biomed Opt 5:330–337. https://doi.org/10.1117/1.430004
Surratt JD, Gómez-González Y, Chan AWH, Vermeylen R, Shahgholi M, Kleindienst TE, Edney EO, Offenberg JH, Lewandowski M, Jaoui M, Maenhaut W, Claeys M, Flagan RC, Seinfeld JH (2008) Organosulfate formation in biogenic secondary organic aerosol. J Phys Chem A 112:8345–8378. https://doi.org/10.1021/jp802310p
Tesche M, Ansmann A, Müller D, Althausen D, Engelmann R, Freudenthaler V, Groß S (2009) Vertically resolved separation of dust and smoke over Cape Verde using multiwavelength Raman and polarization lidars during Saharan Mineral Dust Experiment 2008. J Geophys Res 114. https://doi.org/10.1029/2009JD011862
Tesche M, Kolgotin A, Haarig M, Burton SP, Ferrare RA, Hostetler CA, Mueller D (2019) 3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)
Tolocka MP, Turpin B (2012) Contribution of organosulfur compounds to organic aerosol mass. Environ Sci Technol 46:7978–7983. https://doi.org/10.1021/es300651v
van de Hulst HC (1957) Light scattering by small particles. Courier Corporation
Veselovskii I, Goloub P, Podvin T, Bovchaliuk V, Derimian Y, Augustin P, Fourmentin M, Tanre D, Korenskiy M, Whiteman DN, Diallo A, Ndiaye T, Kolgotin A, Dubovik O (2016) Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal. Atmos Chem Phys 16:7013–7028. https://doi.org/10.5194/acp-16-7013-2016
Videen G, Muinonen K (2015) Light-scattering evolution from particles to regolith. J Quant Spectrosc Radiat Transf 150:87–94. https://doi.org/10.1016/j.jqsrt.2014.05.019
Videen G, Zubko E, Arnold JA, MacCall B, Weinberger AJ, Shkuratov Y, Muñoz O (2018) On the interpolation of light-scattering responses from irregularly shaped particles. J Quant Spectrosc Radiat Transf 211:123–128. https://doi.org/10.1016/j.jqsrt.2018.03.009
Vitkin IA, Studinski RCN (2001) Polarization preservation in diffusive scattering from in vivo turbid biological media: effects of tissue optical absorption in the exact backscattering direction. Opt Commun 190:37–43
Volten H, Muñoz O, Rol E, de Haan JF, Vassen W, Hovenier JW, Muinonen K, Nousiainen T (2001) Scattering matrices of mineral aerosol particles at 441.6 nm and 632.8 nm. J Geophys Res 106:17375. https://doi.org/10.1029/2001JD900068
Wang X, Lai J, Li Z (2012) Polarization studies for backscattering of RBC suspensions based on Mueller matrix decomposition. Opt Express 20:20771
Wiersma DS, Bartolini P, Lagendijk A, Righini R (1997) Localization of light in a disordered medium. Nature 390:671–673. https://doi.org/10.1038/37757
Winker DM, Pelon JR, McCormick MP (2003) The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds. In: Singh UN, Itabe T, Liu Z (eds) Presented at the Third international asia-pacific environmental remote sensing remote sensing of the atmosphere, ocean, environment, and space, Hangzhou, China, p. 1. https://doi.org/10.1117/12.466539
Zhang Y, Chen Y, Lambe AT, Olson NE, Lei Z, Craig RL, Zhang Z, Gold A, Onasch TB, Jayne JT, Worsnop DR, Gaston CJ, Thornton JA, Vizuete W, Ault AP, Surratt JD (2018) Effect of the Aerosol-Phase State on secondary organic aerosol formation from the reactive uptake of isoprene-derived epoxydiols (IEPOX). Environ Sci Technol Lett 5:167–174. https://doi.org/10.1021/acs.estlett.8b00044
Zong R, Weng F, Bi L, Lin X, Rao C, Li W (2021) Impact of hematite on dust absorption at wavelengths ranging from 0.2 to 1.0 µm: an evaluation of literature data using the T-matrix method. Opt Express 29:17405–17427. https://doi.org/10.1364/OE.427611
Zubko E, Muinonen K, Muñoz O, Nousiainen T, Shkuratov Y, Sun W, Videen G (2013) Light scattering by feldspar particles: comparison of model agglomerate debris particles with laboratory samples. J Quant Spectrosc Radiat Transf 131:175–187. https://doi.org/10.1016/j.jqsrt.2013.01.017
Zubko E, Muinonen K, Shkuratov Y, Videen G, Nousiainen T (2007) Scattering of light by roughened Gaussian random particles. J Quant Spectrosc Radiat Transf 106:604–615. https://doi.org/10.1016/j.jqsrt.2007.01.050
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Miffre, A. (2022). Light Backscattering by Atmospheric Particles: From Laboratory to Field Experiments. In: Kokhanovsky, A. (eds) Springer Series in Light Scattering. Springer Series in Light Scattering. Springer, Cham. https://doi.org/10.1007/978-3-031-10298-1_5
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