Next Article in Journal
Could Macroscopic Dark Matter (Macros) Give Rise to Mini-Lightning Flashes out of a Blue Sky without Clouds?
Previous Article in Journal
Characteristics of Potentially Toxic Elements, Risk Assessments, and Isotopic Compositions (Cu-Zn-Pb) in the PM10 Fraction of Road Dust in Busan, South Korea
Previous Article in Special Issue
Metastable States of Water Aerosols: Comparison by Experiment
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Particle Shape Impact on the Radiative Forcing Efficiency Estimated from Single Levitated (NH4)2SO4 Particles

by
Antonio Valenzuela Gutierrez
1,2
1
Department of Applied Physics, University of Granada, 18071 Granada, Spain
2
Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Avenida del Mediterráneo s/n, 18006 Granada, Spain
Submission received: 2 September 2021 / Revised: 14 September 2021 / Accepted: 18 September 2021 / Published: 21 September 2021
(This article belongs to the Special Issue Levitating Droplet Clusters in Aerosol Science)

Abstract

:
Levitation of single trapped particles enables the exploration of fundamental physicochemical aerosol properties never previously achieved. Experimental measurements showed that (NH4)2SO4’s particle shape deviated from sphericity during the crystallization process. Despite that, salt aerosols are assumed to be spheres even in low relative humidity (RH) in most climate models. In the analysis performed here, Mie and T-Matrix codes were operated to simulate crucial parameters needed to estimate the radiative forcing efficiency: extinction efficiency, asymmetry parameter and backscattering fraction. The incorporation of non-spherical effects in (NH4)2SO4 particles can cause a difference of up to 46% radiative forcing efficiency compared to the assumption of sphericity in the 0.3–0.6 µm particle radius range.

1. Introduction

It is known that black carbon (BC) and sulfate aerosols are significant contributors to the radiation absorption and scattering effects of anthropogenic aerosols on a global scale. Bond et al. [1] have estimated that the industrial-era (1750–2005) direct radiative forcing (DRF) of BC was 0.71 Wm−2. Sulfate particles are the largest anthropogenic contributors to atmospheric fine-mode aerosol [2]. Despite the extensive research effort from different viewpoints (laboratory analysis, light scattering, remote sensing platforms, and radiative transfer codes) devoted to studying the physicochemical properties of inorganic salts, they have commonly been treated as aqueous particles spherical even at low relative humidity (RH) in most climate models [3,4,5,6,7,8].
Nevertheless, according to the analysis reported by [9] the solids mass fraction on a sulfate basis can reach up to 0.34, which is not negligible. One of the great challenges of atmospheric aerosol physics properties is to understand how shape and morphology influence light extinction by the particles. The parameter that governs how light interacts with an aerosol particle is the extinction cross section (σext) which depends on the complex refractive index (m), the radius of the particle (r), and the wavelength of the radiation (λ) [10]. σext has been evaluated by [11] for different particle morphologies. They have established from experimental measurements a significant deviation (26.1%) in σext values against Mie theory predictions when particle shape is accounted for. Moreover, Bi et al. [12] have modelled dry sea salt shapes based on superellipsoidal geometries to validate the linear depolarization ratios. Consequently, they have found that particle shape parameters are critical to interpreting data. Specifically, the inhomogeneity of sea salts has a significant impact on the asymmetry parameter (g), which is known to be a critical optical parameter in climate models. An reasonable approximation about the error caused by the assumption of aqueous and spherical particle shapes has been given by Wang et al. [13], who evaluated the effects of solid–aqueous phase transitions on sulfate direct climate forcing (SDCF) using both a column model and a global chemical transport model. They found that hysteresis of the phase transition can cause an uncertainty in the SDCF of 20%. In marine environments, the influence of the RH is crucial to calculate the morphology and the refractive index of sea salts. Wang et al. [14] reported that the inhomogeneity effect can cause up to 10% radiative forcing of sea salts. Therefore, an accurate assessment of the impact of inorganic salt shapes on optical properties and hence on the radiation field is still demanded.
Laboratory analyses are crucial to understanding the effect of the irregularity of particle shape on microphysical and optical properties. Conventional methods have focused on determining either indirect σext values through the independent contribution of σscat and σabs measurements, which makes less precise the reported values of σext or the evaluation of the impact of aspect ratio and the shape factor on the aerosol optical properties [15,16,17,18]. Moreover, only a few works have used tools able to collect direct measurements of σext in the laboratory [19,20,21,22,23,24,25]. An additional inconvenience of these last techniques is that they provide information on σext for particles from bulk samples. The study of macroscopic solutions is challenging because these systems are highly dynamic and polydisperse, exhibiting non-ideal properties. Approaches are still being developed to identify and quantify their unique chemical and physical attributes. To overcome this inconvenience, one strategy is to use methods of manipulation of single aerosol particles [26,27,28,29,30,31,32]. These approaches are based on optical levitation methods [33] which facilitate the confinement, levitation and monitoring of single particles over time and generally have focused on trapping transparent particles. However, levitating absorbing and irregular particles with optical traps is challenging, as unstable confinement appears from the force imbalance arising from the different faces of a non-spherical particle having different associated radiative scattering forces. Recently, a new electrodynamic linear quadrupole (ELQ) trap has been coupled to a cavity ring-down spectrometer (CRDS) to directly measure σext from any single levitated material (aqueous, dry, spherical or non-spherical) [34]. In their analysis, the experimental σext values measured were used to gain information about particle shapes through modelling with the T-Matrix/extended boundary-condition method (EBCM) implementations for random orientation with spheroid parameterization. The shape of a spheroidal particle can be specified by its aspect ratio (the ratio of the largest to the smallest axes), whereas the volume of the particle can be specified by an equivalent-sphere radius, req. The modelled σext values (prolate spheroid with aspect ratio up to 1.1) agreed with those measured from the CRDS, set up for one individual particle of dry (NH4)2SO4. This information is crucial for estimating (NH4)2SO4’s physicochemical properties and establishing potential dry parametrizations.
Therefore, in this paper, following the previous procedure, the analysis has been extended to ten individual (NH4)2SO4 particles to calculate an average aspect ratio value which was assumed to be representative for dry (NH4)2SO4 particles. Subsequently, the optical properties were modelled in two cases: in the first case, for the complete RH ranges, all particles were considered aqueous and spheres; in the second case, below 35% RH, all (NH4)2SO4 particles were dry and non-spherical, between 35 and 80%RH, there was a mixture of aqueous spherical and dry irregular (NH4)2SO4 particles and above 80%RH all particles were aqueous and spherical. The deviation of the radiative forcing efficiency between the two cases was analyzed.

2. Instruments, Data and Results

2.1. Cavity Ring-Down Spectrometer and Electrodynamic Linear Quadrupole: Direct Measurements of σext in 405 nm Wavelength

In a first stage, the fitting between experimental σext values from CRDS measurements and those modelled using T-Matrix/extended boundary-condition method (EBCM) implementations for random orientation with spheroid parameterization, as explained in detail by [34], was extended to ten individual (NH4)2SO4 particles. In this section, the procedure to measure direct extinction cross-sections from CRDS measurements is summarized.
CRDS has been described elsewhere [27]. The new setup implementing CRDS in combination with the ELQ trap is shown in Figure 1.
The extinction cross section in a 405 nm wavelength, σ e x t , is determined from ring-down times recorded without and with a particle positioned centrally in the TEM00 cavity, mode τ 0 and τ, respectively [35]:
σ e x t = π L w 0 2 2 c 1 τ 1 τ 0
where w 0 is the beam waist of the intra-cavity beam at the longitudinal position of the particle, c is the speed of light and L is the distance between the two highly reflective mirrors forming the high finesse optical cavity. An individual particle was captured within the ELQ trap. The vertical position of the particle was controlled by careful variation of the magnitudes of the bottom variable electrostatic potential of the ELQ trap, balancing the aerodynamic drag and gravitational forces acting on the particle. This feature was exploited to optimize the position of the particle at the centre of the optical cavity TEM00 mode excited by a λ = 405 nm laser to retrieve accurate measurements of the extinction cross-section. A detailed explanation of the CRDS technique and analysis as applied to single particle measurements can be found in previous papers [27,28,29,30,31,32].
A second laser beam at a 532 nm wavelength was operated to interact with the levitated particle and collect the elastic scattering on a CCD camera placed at 90° to the direction of the laser beam. An aperture at the side of the trapping cell gave access to a horizontally propagating Gaussian laser beam of λ = 532 nm which illuminated the droplet for angularly resolved elastic scattering measurements of the droplet size. The CMOS camera (Thorlabs, DCC1546M) coupled to a 20× long working distance objective (Mitutoyo) with a numerical aperture (NA) of 0.42 orientated 90° to the laser beam was used to capture the phase function (PF) from a single trapped droplet. Insets in Figure 2a show images when a (NH4)2SO4 particle was spherical (well-defined fringes) and after the crystallization (fringes are incoherent) in RH below 35%. The angular scattering lobe structure predicted by Mie theory is clearly observed. Experimental phase functions were fitted to a library of PFs of Mie theory in order to estimate radius and refractive index. Detailed explanation about this procedure can be found in [24,34,36,37].
Figure 2a shows the fitted radius from experimental measurements of elastic scattering, since the (NH4)2SO4 particle was spherical (2230 nm) up to crystallization (2115 nm). At this point, the fringes became incoherent and Mie fitting was not effective. No information about experimental phase functions could be retrieved from crystallization RH. Simultaneously with the collected elastic scattering, Figure 2b shows ring-down time measurements from CRDS when a particle was spherical with typical node and antinode standing wave structure up to crystallization took place. At this point, ring-down time values jumped up as a consequence of the rapid loss of particle mass. A complete and detailed explanation about this new setup and the crystallization analysis can be found in [30]. Ten individual experiments were performed as crystallization occurred. (NH4)2SO4 particle shape deviated from sphericity (aspect ratios ranging from 1.1 to 1.3) and modelled σext values fitted reasonably well to experimental σext data from CRDS measurements. It was calculated an average aspect ratio of 1.2 and it was assumed to be representative of dry (NH4)2SO4 particles.

2.2. Parameterizations of r and n with RH and 532 nm Wavelength: Optical Properties and Radiative Effects of Dry (NH4)2SO4 Particles

In a second stage, optical properties for aqueous and dry (NH4)2SO4 particles have been modelled using Mie theory/T-Matrix spheroid codes. Different assumptions were made for ease of analysis. This was a quantitative and qualitative analysis to estimate the effect of particle shape on optical properties and hence the radiative forcing efficiency. Although the sulfate–ammonium ratio presents different extents of neutralization defined as X (X = 1, (ammonium sulfate) (NH4)2SO4; X = 1.5, (levocite) (NH4)3H(SO4)2; X = 2, (ammonium bisulfate) NH4HSO4), the percentage found in the atmosphere can be divided into 93% (NH4)2SO4, 6% (NH4)2SO4 and 1% NH4HSO4 [9]. Therefore, the most general case, (NH4)2SO4, was considered. No core or shell was incorporated into the modelling process. To simulate optical properties, binary particles were taken (water and pure (NH4)2SO4 solute) and although crystallization RH is a stochastic process, it was established that (NH4)2SO4 particles crystallize at 35% RH. The weight of the solid fraction against aqueous particles, between 35 and 80% of the RH region, was 0.34 based on the analysis of the RH history given by [9]. Below 35% RH it was assumed all (NH4)2SO4 particles were a mixture of solid and liquid and above 80% RH all (NH4)2SO4 particles were aqueous and spherical.
The approximate κ-Köhler model proposed by [38] was used to provide the relation between the particle radius, r, measured at different water activities (aw) with the radius in dry conditions, r0. For 100 nm particles and typical growth factors, this approximation generally leads to a 1–2% error in the water activity [39]:
r = r 0 1 + κ   · a w 1 a w 1 3
where aw is equivalent to RH (%)/100 when neglecting the Kelvin effect based on droplet size. If the influence of surface curvature is ignored, the aw is equal to the saturation ratio or the ratio of the vapor pressure of water over the drop to the saturation vapor pressure of water at that temperature. This was justified in our case, because the Kelvin effect is small for large particles (diameter > 100 nm), which are the most relevant to light scattering and absorption [40]. κ characterizes the hygroscopicity response of the solute. In this study, the κ value used for (NH4)2SO4 was that reported by [39].
It was reasonable to evaluate optical parameters and radiative effects at the 532 nm wavelength because it is in the centre of the solar visible spectral range. The wavelength dependence of n for many transparent and absorbing materials in the visible range can be described by the well-known Sellmeier equation with expansion to the first order term [41]:
n 2 = 1 + B λ 2 λ 2 C
where n is the refractive index at the wavelength λ and B and C are fitting coefficients. The B and C Sellmeier coefficients were calculated from the fits to the experimental data and were smooth functions of the RH, parameterized as quadratic polynomials in terms of the aw.
It was assumed in this analysis that particles were homogeneous in the refractive index. Considering the parameterizations for particle radius (r) and real refractive index, (n) as a function of RH and wavelength, the interaction of the light with a single particle can be calculated using Mie theory for spherical particles [42,43]. Nevertheless, in the case of irregular shapes, Mie theory is not an efficient method and alternative approaches are needed such as the T-Matrix/EBCM spheroid method [44,45]. The T-Matrix/EBCM spheroid approach was used in this analysis according to the parameters reported by [34] for dry (NH4)2SO4 particles. The input parameters used to supply the Mie theory or T-Matrix/EBCM spheroid method were n, the size parameter (x) and size equivalent parameter (xeq = kreq) for spherical and irregular particles, respectively. req is the equivalent radius and was calculated as r e q = a 2 c 3 , where a is the semi-axis length along the x- and y-axes, and c is the semi-axis length along the z-axis, which is the axis of revolution. In this study, three aerosol radiative parameters were determined: the extinction efficiency (Qext), calculated as ratio of the σ e x t to the geometric section ( σ g e o ), the asymmetry parameter (g) and the backscattering fraction (β) including dependence on particle size, composition, RH, and wavelength. These optical parameters were needed to estimate the RFE at a 532 nm wavelength at the top of the atmosphere caused by a thin aerosol layer in the lower troposphere from Equation (4), proposed by [46]. Some previous publications have reported the usefulness of this treatment for studying the RFE [19,47,48,49,50,51].
R F E = F A O D = S D   1 A c l d T a t m 2 1 R s f c 2 2 R s f c 1 ω 1 R s f c 2 β ω
where AOD is the aerosol optical depth and S is the solar constant (set to 1370 W/m2). For the rest of the parameters, we assumed standard conditions of a continental area. D is the fractional day length (set to 0.5), Acld is the fractional cloud cover (set to 0.61), Tatm is the solar atmospheric transmittance (set to 0.76), and Rsfc is the surface albedo (set to 0.15). The β is the average upscatter fraction (the fraction of scattered sunlight that is scattered into the upward hemisphere), which is a function of hemispheric backscatter fraction b, defined as the ratio of backscattering efficiency to total scattering efficiency and ω is the single scattering albedo caused by a uniform and optically thin aerosol layer. As the (NH4)2SO4 particles are transparent to the light, ω is equal to the unity. The parameter β was calculated from the Henyey–Greenstein phase function:
β = 0.082 + 1.85 · b 2.97 ·   b 2
where b was derived from g through the equation [52]:
b = 1 g 2 2 g 1 1 + g 2 1 1 + g
To distinguish the effects of non-spherical (NH4)2SO4 on radiative forcing efficiency regarding that caused by the spherical approach, it was defined the parameter ΔRFE, which was presented as a percentage and calculated from the equation:
R F E = R F E s p h e r o i d + s p h e r e R F E s p h e r e R F E s p h e r e × 100
For the convenience of the analysis, particles of 1 μm and smaller in radius were considered because they have the largest climate impact [13,53]. Modelled values of Qext, g and β for combined T-Matrix/Mie theory codes (Figure 3a,c,e) and those evaluated only with Mie theory method (Figure 3b,d,f) are shown as function of RH and particle radius. According to only Mie theory predictions for a specific radius, three parameters showed almost no dependency on RH making the extinction more efficient when particle size is of the order of the wavelength, and the forward scattering increased with the increase in particle size. As non-spherical approximation was included, all optical parameters evaluated presented a drastic change in their values in the phase transition RHs (crystallization and deliquescence points). Overall, Qext for non-spherical (NH4)2SO4 particles was always smaller than a sphere. The strong impact of particle shape in optical properties was evident, as RHs below 80% were sharper than RHs below 35% compared to Mie theory calculations. Non-sphericity enhanced g (0.86) toward a lower particle radius interval from 0.2 to 0.7 µm for RHs below 35% (Figure 3c). The opposite occured for β where the non-sphericity introduced less backscattering. Therefore, the non-inclusion of the irregularity in the shape, especially at low RHs, could underestimate the solar irradiation that reaches the surface, enhancing the cooling of the atmosphere.
The RFEspheroid+sphere (spheroid approach and Mie theory) and RFEsphere (Mie theory) are shown in Figure 4a,b, respectively. Radiative effects were strongly dominated by g in both cases. Nevertheless, RFEspheroid+sphere exhibited properties different to those evaluated only for sphere approximation. As illustrated in Figure 3a,c,e optical properties at various RHs differed too much. Further, differences in the RFEspheroid+sphere between deliquescence and crystallization RHs indicated the relevance of relative humidity plays on (NH4)2SO4 particles. In most typical environmental RHs (35–80%), the incorporation of particle shape in the RFEspheroid+sphere caused stronger cooling (around −22 Wm−2AOD−1) for particles larger than 0.7 µm in radius. Although less common in the atmosphere, for RHs below 35%, RFEspheroid+sphere presented strong dependency on the particle size with a different redistribution of radiative effects. A lower cooling (−14 Wm−2AOD−1) was shown in the interval of radius from 0.3 to 0.7 µm.
Figure 5 shows the ΔRFE calculated using Equation (7). Spherical particles were taken as reference to assess the RFE deviation. Positive values of ΔRFE indicated that the addition of non-spherical (NH4)2SO4 particles had a stronger radiative cooling effect (higher than 90% difference for RHs below 35% with a radius smaller than 0.2 µm and larger than 0.8 µm). This was in accordance with lower values of g. However, in the RH range (35–80%) the assumption of sphericity only caused an overestimation of the cooling radiative effects of up to 18% with regard to particles of a radius of 0.3 and 0.6 µm.

3. Conclusions

Although the hysteresis of the phase transition for (NH4)2SO4 has been extensively treated, the incorporation of non-sphericity into climate models has not yet been assessed. The analysis performed here illustrates that non-sphericity had a stronger effect on optical properties in deliquescence and crystallization RHs. Non-sphericity enhanced g toward a lower particle radius interval from 0.2 to 0.7 µm for RHs below 35%. The incorporation of the non-spherical effects of (NH4)2SO4 particles led to a difference of up to 46% in radiative forcing efficiency compared to the assumption of sphericity for a 0.3 to 0.6 µm particle radius range. I would like to emphasize that for a precise evaluation of radiative effects it is needs to incorporate the particle shape impact on the physicochemical properties. A complete assessment of the effects of the aerosol phase transition in the real atmosphere would be recommendable. However, it would also require a detailed RH history analysis to extend the calculations to larger particle sizes, which implies more computing time consumed. In future work this study will be performed on a global scale.

Funding

This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 754446 and UGR Research and Knowledge Transfer Fund—Athenea3i.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The author acknowledges the Bristol Aerosol Research Centre for technical support and for knowledge transfer on single particle level.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Bond, T.C.; Doherty, S.J.; Fahey, D.W.; Forster, P.M.; Berntsen, T.; DeAngelo, B.J.; Flanner, M.G.; Ghan, S.; Kärcher, B.; Koch, D.; et al. Bounding the role of black carbon in the climate system: A scientific assessment. J. Geophys. Res. Atmos. 2013, 118, 5380–5552. [Google Scholar] [CrossRef]
  2. Seinfeld, J.H.; Pandis, S.N. Atmospheric Chemistry and Physics: From air pollution to climate change; John Wiley: New York, NY, USA, 1998; 1326. [Google Scholar]
  3. Adams, P.J.; Seinfeld, J.H.; Koch, D.; Mickley, L.; Jacob, D. General circulation model assessment of direct radiative forcing by the sulfate-nitrate-ammonium-water inorganic aerosol system. J. Geophys. Res. Atmos. 2001, 106, 1097–1111. [Google Scholar] [CrossRef]
  4. Bohlmann, S.; Baars, H.; Radenz, M.; Engelmann, R.; Macke, A. Ship-borne aerosol profiling with lidar over the Atlantic Ocean: From pure marine conditions to complex dust-smoke mixtures. Atmos. Chem. Phys. 2018, 18. [Google Scholar] [CrossRef] [Green Version]
  5. Haarig, M.; Ansmann, A.; Gasteiger, J.; Kandler, K.; Althausen, D.; Baars, H.; Radenz, M.; Farrell, D.A. Dry versus wet marine particle optical properties: RH dependence of depolarization ratio, backscatter, and extinction from multiwavelength lidar measurements during SALTRACE. Atmos. Chem. Phys. 2017, 17, 14199. [Google Scholar] [CrossRef] [Green Version]
  6. Kiehl, J.T.; Schneider, T.L.; Rasch, P.J.; Barth, M.C.; Wong, J. Radiative forcing due to sulfate aerosols from simulations with the National Center for Atmospheric Research Community Climate Model, Version 3. J. Geophys. Res. Atmos. 2000, 105, 1441–1457. [Google Scholar] [CrossRef]
  7. Zeng, J.; Zhang, G.; Long, S.; Liu, K.; Cao, L.; Bao, L.; Li, Y. Sea salt deliquescence and crystallization in atmosphere: An in situ investigation using x-ray phase contrast imaging. Surf. Interface Anal. 2013, 45, 930–936. [Google Scholar] [CrossRef]
  8. Zieger, P.; Väisänen, O.; Corbin, J.C.; Partridge, D.G.; Bastelberger, S.; Mousavi-Fard, M.; Rosati, B.; Gysel, M.; Krieger, U.K.; Leck, C.; et al. Revising the hygroscopicity of inorganic sea salt particles. Nat. Commun. 2017, 8. [Google Scholar] [CrossRef] [PubMed]
  9. Wang, J.; Hoffmann, A.A.; Park, R.J.; Jacob, D.J.; Martin, S.T. Global distribution of solid and aqueous sulfafte aerosols: Effect of the hysteresis of particle phase transitions. J. Geophys. Res. Atmos. 2008, 113, 1–11. [Google Scholar] [CrossRef] [Green Version]
  10. Bohren, C.F.; Huffman, D.R. Absorption and scattering of light by small particles; John Wiley & Sons: Hooken, NY, USA, 2008; ISBN 3527618163. [Google Scholar]
  11. Veghte, D.P.; Moore, J.E.; Jensen, L.; Freedman, M.A. Influence of shape on the optical properties of hematite aerosol. J. Geophys. Res. Atmos. 2015, 120, 7025–7039. [Google Scholar] [CrossRef]
  12. Bi, L.; Lin, W.; Wang, Z.; Tang, X.; Zhang, X.; Yi, B. Optical Modeling of Sea Salt Aerosols: The Effects of Nonsphericity and Inhomogeneity. J. Geophys. Res. Atmos. 2018, 123, 543–558. [Google Scholar] [CrossRef]
  13. Wang, J.; Jacob, D.J.; Martin, S.T. Sensitivity of sulfate direct climate forcing to the hysteresis of particle phase transitions. J. Geophys. Res. Atmos. 2008, 113. [Google Scholar] [CrossRef] [Green Version]
  14. Wang, Z.; Bi, L.; Yi, B.; Zhang, X. How the Inhomogeneity of Wet Sea Salt Aerosols Affects Direct Radiative Forcing. Geophys. Res. Lett. 2019, 46, 1805–1813. [Google Scholar] [CrossRef]
  15. Lindqvist, H.; Jokinen, O.; Kandler, K.; Scheuvens, D.; Nousiainen, T. Single scattering by realistic, inhomogeneous mineral dust particles with stereogrammetric shapes. Atmos. Chem. Phys. 2014, 14, 143–157. [Google Scholar] [CrossRef] [Green Version]
  16. Pagels, J.; Khalizov, A.F.; McMurry, P.H.; Zhang, R.Y. Processing of soot by controlled sulphuric acid and water condensation—Mass and mobility relationship. Aerosol Sci. Technol. 2009, 43, 629–640. [Google Scholar] [CrossRef]
  17. Radney, J.G.; Ma, X.; Gillis, K.A.; Zachariah, M.R.; Hodges, J.T.; Zangmeister, C.D. Direct measurements of mass-specific optical cross sections of single-component aerosol mixtures. Anal. Chem. 2013, 85, 8319–8325. [Google Scholar] [CrossRef]
  18. Xue, H.; Khalizov, A.F.; Wang, L.; Zheng, J.; Zhang, R. Effects of coating of dicarboxylic acids on the mass− mobility relationship of soot particles. Environ. Sci. Technol. 2009, 43, 2787–2792. [Google Scholar] [CrossRef]
  19. Dinar, E.; Riziq, A.A.; Spindler, C.; Erlick, C.; Kiss, G.; Rudich, Y. The complex refractive index of atmospheric and model humic-like substances (HULIS) retrieved by a cavity ring down aerosol spectrometer (CRD-AS). Faraday Discuss. 2008, 137, 279–295. [Google Scholar] [CrossRef]
  20. Hasenkopf, C.A.; Beaver, M.R.; Trainer, M.G.; Langley Dewitt, H.; Freedman, M.A.; Toon, O.B.; McKay, C.P.; Tolbert, M.A. Optical properties of Titan and early Earth haze laboratory analogs in the mid-visible. Icarus 2010, 207, 903–913. [Google Scholar] [CrossRef]
  21. Mason, B.J.; King, S.-J.; Miles, R.E.H.; Manfred, K.M.; Rickards, A.M.J.; Kim, J.; Reid, J.P.; Orr-Ewing, A.J. Comparison of the accuracy of aerosol refractive index measurements from single particle and ensemble techniques. J. Phys. Chem. A 2012, 116, 8547–8556. [Google Scholar] [CrossRef] [PubMed]
  22. Bluvshtein, N.; Flores, J.M.; Riziq, A.A.; Rudich, Y. An Approach for Faster Retrieval of Aerosols’ Complex Refractive Index Using Cavity Ring-Down Spectroscopy. Aerosol Sci. Technol. 2012, 46, 1140–1150. [Google Scholar] [CrossRef]
  23. Miles, R.E.H.; Carruthers, A.E.; Reid, J.P. Novel optical techniques for measurements of light extinction, scattering and absorption by single aerosol particles. Laser Photon. Rev. 2011, 5, 534–552. [Google Scholar] [CrossRef]
  24. Miles, R.E.H.; Rudić, S.; Orr-Ewing, A.J.; Reid, J.P. Sources of error and uncertainty in the use of cavity ring down spectroscopy to measure aerosol optical properties. Aerosol Sci. Technol. 2011, 45, 1360–1375. [Google Scholar] [CrossRef]
  25. Pettersson, A.; Lovejoy, E.R.; Brock, C.A.; Brown, S.S.; Ravishankara, A.R. Measurement of aerosol optical extinction at 532nm with pulsed cavity ring down spectroscopy. J. Aerosol Sci. 2004, 35, 995–1011. [Google Scholar] [CrossRef]
  26. Cotterell, M.I.; Mason, B.J.; Carruthers, A.E.; Walker, J.S.; Orr-Ewing, A.J.; Reid, J.P. Measurements of the evaporation and hygroscopic response of single fine-mode aerosol particles using a Bessel beam optical trap. Phys. Chem. Chem. Phys. 2014, 16, 2118–2128. [Google Scholar] [CrossRef] [Green Version]
  27. Cotterell, M.I.; Mason, B.J.; Preston, T.C.; Orr-Ewing, A.J.; Reid, J.P. Optical extinction efficiency measurements on fine and accumulation mode aerosol using single particle cavity ring-down spectroscopy. Phys. Chem. Chem. Phys. 2015, 17, 15843–15856. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Cotterell, M.I.; Preston, T.C.; Orr-Ewing, A.J.; Reid, J.P. Assessing the accuracy of complex refractive index retrievals from single aerosol particle cavity ring-down spectroscopy. Aerosol Sci. Technol. 2016, 50, 1077–1095. [Google Scholar] [CrossRef] [Green Version]
  29. Cotterell, M.I.; Willoughby, R.E.; Bzdek, B.R.; Orr-Ewing, A.J.; Reid, J.P. A complete parameterisation of the relative humidity and wavelength dependence of the refractive index of hygroscopic inorganic aerosol particles. Atmos. Chem. Phys. 2017, 17, 9837–9851. [Google Scholar] [CrossRef] [Green Version]
  30. Mason, B.J.; Cotterell, M.I.; Preston, T.C.; Orr-Ewing, A.J.; Reid, J.P. Direct measurements of the optical cross sections and refractive indices of individual volatile and hygroscopic aerosol particles. J. Phys. Chem. A 2015, 119, 5701–5713. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Walker, J.S.; Carruthers, A.E.; Orr-Ewing, A.J.; Reid, J.P. Measurements of light extinction by single aerosol particles. J. Phys. Chem. Lett. 2013, 4, 1748–1752. [Google Scholar] [CrossRef] [Green Version]
  32. Willoughby, R.E.; Cotterell, M.I.; Lin, H.; Orr-Ewing, A.J.; Reid, J.P. Measurements of the Imaginary Component of the Refractive Index of Weakly Absorbing Single Aerosol Particles. J. Phys. Chem. A 2017, 121, 5700–5710. [Google Scholar] [CrossRef] [Green Version]
  33. Ashkin, A. Acceleration and Trapping of Particles by Radiation Pressure. Phys. Rev. Lett. 1970, 24, 156–159. [Google Scholar] [CrossRef] [Green Version]
  34. Valenzuela, A.; Chu, F.; Haddrell, A.E.; Cotterell, M.I.; Walker, J.S.; Orr-Ewing, A.J.; Reid, J.P. Optical Interrogation of Single Levitated Droplets in a Linear Quadrupole Trap by Cavity Ring-Down Spectroscopy. J. Phys. Chem. A 2021, 125, 405. [Google Scholar] [CrossRef] [PubMed]
  35. Butler, T.J.A.; Miller, J.L.; Orr-Ewing, A.J. Cavity ring-down spectroscopy measurements of single aerosol particle extinction. I. the effect of position of a particle within the laser beam on extinction. J. Chem. Phys. 2007, 126. [Google Scholar] [CrossRef]
  36. Carruthers, A.E.; Walker, J.S.; Casey, A.; Orr-Ewing, A.J.; Reid, J.P. Selection and characterization of aerosol particle size using a bessel beam optical trap for single particle analysis. Phys. Chem. Chem. Phys. 2012, 14, 6741–6748. [Google Scholar] [CrossRef]
  37. Valenzuela, A.; Rica, R.A.; Olmo-Reyes, F.J.; Alados-Arboledas, L. Testing a Paul trap through determining the evaporation rate of levitated single semi-volatile organic droplets. Opt. Express 2020, 28, 34812. [Google Scholar] [CrossRef]
  38. Petters, M.D.; Kreidenweis, S.M. A single parameter representation of hygroscopic growth and cloud condensation nucleus activity. Atmos. Chem. Phys. 2007, 7, 1961–1971. [Google Scholar] [CrossRef] [Green Version]
  39. Koehler, K.A.; Kreidenweis, S.M.; DeMott, P.J.; Prenni, A.J.; Carrico, C.M.; Ervens, B.; Feingold, G. Water activity and activation diameters from hygroscopicity data-Part II: Application to organic species. Atmos. Chem. Phys. 2006, 6, 795–809. [Google Scholar] [CrossRef] [Green Version]
  40. Zieger, P.; Fierz-Schmidhauser, R.; Gysel, M.; Ström, J.; Henne, S.; Yttri, K.E.; Baltensperger, U.; Weingartner, E. Effects of relative humidity on aerosol light scattering in the Arctic. Atmos. Chem. Phys. 2010, 10, 3875–3890. [Google Scholar] [CrossRef] [Green Version]
  41. Sellmeier, W. Zur erkarung der abnormen farbenfolge im spectrum einiger substanzen. Ann. Phys. Chemie 1871, 219, 272–282. [Google Scholar] [CrossRef] [Green Version]
  42. Hulst, H.C.; van de Hulst, H.C. Light scattering by small particles; Courier Corporation: New York, NY, USA, 1981; ISBN 0486642283. [Google Scholar]
  43. McCartney, E.J. Optics of the atmosphere: Scattering by molecules and particles; John Wiley and Sons Inc.: New York, NY, USA, 1976. [Google Scholar]
  44. Dubovik, O.; Sinyuk, A.; Lapyonok, T.; Holben, B.N.; Mishchenko, M.; Yang, P.; Eck, T.F.; Volten, H.; Muñoz, O.; Veihelmann, B.; et al. Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust. J. Geophys. Res. Atmos. 2006, 111, 1–34. [Google Scholar] [CrossRef] [Green Version]
  45. Dubovik, O.; Holben, B.N.; Lapyonok, T.; Sinyuk, A.; Mishchenko, M.I.; Yang, P.; Slutsker, I. Non-spherical aerosol retrieval method employing light scattering by spheroids. Geophys. Res. Lett. 2002, 29, 541–544. [Google Scholar] [CrossRef] [Green Version]
  46. Haywood, J.M.; Shine, K.P. The effect of anthropogenic sulfate and soot aerosol on the clear sky planetary radiation budget. Geophys. Res. Lett. 1995, 22, 603–606. [Google Scholar] [CrossRef]
  47. Erlick, C.; Abbatt, J.P.D.; Rudich, Y. How different calculations of the refractive index affect estimates of the radiative forcing efficiency of ammonium sulfate aerosols. J. Atmos. Sci. 2011, 68, 1845–1852. [Google Scholar] [CrossRef]
  48. Haywood, J.; Boucher, O. Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review. Rev. Geophys. 2000, 38, 513–543. [Google Scholar] [CrossRef]
  49. Randles, C.A.; Russell, L.M.; Ramaswamy, V. Hygroscopic and optical properties of organic sea salt aerosol and consequences for climate forcing. Geophys. Res. Lett. 2004, 31. [Google Scholar] [CrossRef]
  50. Valenzuela, A.; Reid, J.P.; Bzdek, B.R.; Orr-Ewing, A.J. Accuracy Required in Measurements of Refractive Index and Hygroscopic Response to Reduce Uncertainties in Estimates of Aerosol Radiative Forcing Efficiency. J. Geophys. Res. Atmos. 2018, 123, 6469–6486. [Google Scholar] [CrossRef]
  51. Zarzana, K.J.; Cappa, C.D.; Tolbert, M.A. Sensitivity of aerosol refractive index retrievals using optical spectroscopy. Aerosol Sci. Technol. 2014, 48, 1133–1144. [Google Scholar] [CrossRef] [Green Version]
  52. Wiscombe, W.J.; Grams, G.W. The backscattered fraction in two-stream approximations. J. Atmos. Sci. 1976, 33, 2440–2451. [Google Scholar] [CrossRef] [Green Version]
  53. Heald, C.L.; Ridley, D.A.; Kroll, J.H.; Barrett, S.R.H.; Cady-Pereira, K.E.; Alvarado, M.J.; Holmes, C.D. Contrasting the direct radiative effect and direct radiative forcing of aerosols. Atmos. Chem. Phys. 2014, 14, 5513–5527. [Google Scholar] [CrossRef] [Green Version]
Figure 1. A schematic 3D view of the CRDS standing wave, the ELQ trap setup and the CCD camera objective.
Figure 1. A schematic 3D view of the CRDS standing wave, the ELQ trap setup and the CCD camera objective.
Atmosphere 12 01231 g001
Figure 2. Evaporation of a (NH4)2SO4 droplet, shown by change in (a) radius, and (b) simultaneous ring-down time measurements even after crystallization.
Figure 2. Evaporation of a (NH4)2SO4 droplet, shown by change in (a) radius, and (b) simultaneous ring-down time measurements even after crystallization.
Atmosphere 12 01231 g002
Figure 3. Optical properties (Qext, g and β) from T-Matrix and Mie simulations (a,c,e) and only from Mie predictions (b,d,f).
Figure 3. Optical properties (Qext, g and β) from T-Matrix and Mie simulations (a,c,e) and only from Mie predictions (b,d,f).
Atmosphere 12 01231 g003
Figure 4. The RFE estimated for (a) non-spherical and spherical (NH4)2SO4 particles and (b) only spherical (NH4)2SO4 particles.
Figure 4. The RFE estimated for (a) non-spherical and spherical (NH4)2SO4 particles and (b) only spherical (NH4)2SO4 particles.
Atmosphere 12 01231 g004
Figure 5. The radiative forcing efficiency differences, ΔRFE, when the non-sphericity effect is added.
Figure 5. The radiative forcing efficiency differences, ΔRFE, when the non-sphericity effect is added.
Atmosphere 12 01231 g005
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Gutierrez, A.V. Particle Shape Impact on the Radiative Forcing Efficiency Estimated from Single Levitated (NH4)2SO4 Particles. Atmosphere 2021, 12, 1231. https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12091231

AMA Style

Gutierrez AV. Particle Shape Impact on the Radiative Forcing Efficiency Estimated from Single Levitated (NH4)2SO4 Particles. Atmosphere. 2021; 12(9):1231. https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12091231

Chicago/Turabian Style

Gutierrez, Antonio Valenzuela. 2021. "Particle Shape Impact on the Radiative Forcing Efficiency Estimated from Single Levitated (NH4)2SO4 Particles" Atmosphere 12, no. 9: 1231. https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12091231

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop