Figures & data
FIG. 1 Photograph of the DAWN-A optical assembly showing the argon-ion laser, light-scattering chamber, and fiber-optic detectors. Azimuthal (φ) and polar (θ) angular coordinate directions are indicated by arrows.
![FIG. 1 Photograph of the DAWN-A optical assembly showing the argon-ion laser, light-scattering chamber, and fiber-optic detectors. Azimuthal (φ) and polar (θ) angular coordinate directions are indicated by arrows.](/cms/asset/48574de3-fe77-4317-a409-0ea1d817d01d/uast_a_227110_o_f0001g.gif)
FIG. 2 Schematic diagram of the flow system used for generation and sampling of calibration particles.
![FIG. 2 Schematic diagram of the flow system used for generation and sampling of calibration particles.](/cms/asset/5d6242cc-7879-421b-93f3-d8338fcb6980/uast_a_227110_o_f0002g.gif)
FIG. 3 RH-dependent refractive index of sulfuric acid and ammonium sulfate derived from partial molar refractions at λ = 488 nm.
![FIG. 3 RH-dependent refractive index of sulfuric acid and ammonium sulfate derived from partial molar refractions at λ = 488 nm.](/cms/asset/1dfa65a4-1855-480c-b944-a00d9d7e418d/uast_a_227110_o_f0003g.gif)
TABLE 1 Cauchy dispersion parameters, values of n calculated from the Cauchy formula
FIG. 4 Responses to six different 0.3-μ m calibration particles vs. Lorenz-Mie theoretical dimensionless irradiances calculated for polar angles θ = 55° and 75°.
![FIG. 4 Responses to six different 0.3-μ m calibration particles vs. Lorenz-Mie theoretical dimensionless irradiances calculated for polar angles θ = 55° and 75°.](/cms/asset/81bf0a25-f949-490b-bf0d-bdc3e03c9278/uast_a_227110_o_f0004g.gif)
FIG. 5 Example of the χ2-best-fit inference of the real component of refractive index shown for a 0.3-μ m ammonium sulfate droplet. Scattering diagrams calculated with Lorenz-Mie theory are shown for the expected refractive index (broken line) and the inverted refractive index (solid line).
![FIG. 5 Example of the χ2-best-fit inference of the real component of refractive index shown for a 0.3-μ m ammonium sulfate droplet. Scattering diagrams calculated with Lorenz-Mie theory are shown for the expected refractive index (broken line) and the inverted refractive index (solid line).](/cms/asset/c1eb9175-8f17-45e8-b550-868b95af104b/uast_a_227110_o_f0005g.gif)
TABLE 2 Errors in inferred refractive indices (inferred-expected) for calibration particles. For the values shown, shape distinction was not applied to the measurements prior to their inversion
Table 3 Errors in inferred refractive indices (inferred-expected) for light-absorbing DPS particles measured during the SEAVS field study. The values shown are for selected spherical subfractions to which laboratory/field “hybrid” calibrations were applied. The expected real part of the refractive index is n = 1.449
FIG. 6 Sensitivity of angular scattering to the real and imaginary components of the complex refractive index, illustrated with scattering diagrams calculated for a matrix of refractive indices defined by real values n = 1.40 and 1.45 and imaginary values k = 0.000 and 0.010.
![FIG. 6 Sensitivity of angular scattering to the real and imaginary components of the complex refractive index, illustrated with scattering diagrams calculated for a matrix of refractive indices defined by real values n = 1.40 and 1.45 and imaginary values k = 0.000 and 0.010.](/cms/asset/c821ee6f-6826-4769-a731-55151c3fd122/uast_a_227110_o_f0006g.gif)
FIG. 7 Inference of size-dependent atmospheric particle refractive index from χ2-best-fits of Mie theory to calibrated responses. Angular scattering patterns are compared for wet and dry samples for D p = 0.2 μ m (a), 0.3 μ m (b), 0.4 μ m (c), and 0.5 μ m (d).
![FIG. 7 Inference of size-dependent atmospheric particle refractive index from χ2-best-fits of Mie theory to calibrated responses. Angular scattering patterns are compared for wet and dry samples for D p = 0.2 μ m (a), 0.3 μ m (b), 0.4 μ m (c), and 0.5 μ m (d).](/cms/asset/e0827bb1-df20-47ad-90b5-8afaeac47738/uast_a_227110_o_f0007g.gif)
FIG. 8 Inference of atmospheric particle refractive from a χ2-best-fit of Mie theory to calibrated response for D p = 0.8 μ m. The angular scattering pattern for the inferred value (solid line) is compared to patterns calculated for water (dotted line) and crystalline ammonium sulfate (dashed line).
![FIG. 8 Inference of atmospheric particle refractive from a χ2-best-fit of Mie theory to calibrated response for D p = 0.8 μ m. The angular scattering pattern for the inferred value (solid line) is compared to patterns calculated for water (dotted line) and crystalline ammonium sulfate (dashed line).](/cms/asset/190b0e79-5e1a-420d-9a98-8c0bf64f4e48/uast_a_227110_o_f0008g.gif)
TABLE 4 Species properties assumed for refractive index modeling. Refractive index real and imaginary components n and k are specified for a wavelength of λ = 488 nm
TABLE 5 Properties used for modeling refractive index of dry (∼ 0% RH) ammoniated sulfate. Properties of ammonium bisulfate and letovicite were determined from interpolation of sulfuric acid and ammonium sulfate properties, where the ammonium-to-sulfate molar ratio, B, is the dependent variable. Values of R and n are for λ = 488 nm unless indicated otherwise
FIG. 9 Study-average dry Δ n values resulting from variation of dry OC n. The size-average of these values is minimized for OC n = 1.45 (average Δ n = −0.0003 among the sizes shown).
![FIG. 9 Study-average dry Δ n values resulting from variation of dry OC n. The size-average of these values is minimized for OC n = 1.45 (average Δ n = −0.0003 among the sizes shown).](/cms/asset/9a177dbd-bc43-4493-bf77-3f4f52f4d09a/uast_a_227110_o_f0009g.gif)
TABLE 6 Size-dependent, study-averaged real refractive indices n measured at RH = 4–10% (dry) and results from comparison with modeled values. Assumed properties for dry organics are ρ = 1.4 and n = 1.46
TABLE 7 Size-dependent, study-averaged real refractive indices measured at RH = 44–76% (wet) and results from comparison with modeled values. Assumed properties for dry organics are ρ = 1.4 and n = 1.46
FIG. 10 Comparison of modeled refractive indices with atmospheric refractive indices measured by the DAWN-A during SEAVS for D p = 0.3 μ m. Two estimates of water content are compared for wet indices: thermodynamically predicted water associated with supersaturated ammoniated sulfates (I; inorganic contribution), and the sum of the inorganic contribution and water content associated with organics (I+O).
![FIG. 10 Comparison of modeled refractive indices with atmospheric refractive indices measured by the DAWN-A during SEAVS for D p = 0.3 μ m. Two estimates of water content are compared for wet indices: thermodynamically predicted water associated with supersaturated ammoniated sulfates (I; inorganic contribution), and the sum of the inorganic contribution and water content associated with organics (I+O).](/cms/asset/f8fb21ee-1b85-4ad0-8b08-cf8a7ec0cbbf/uast_a_227110_o_f0010g.gif)
FIG. 11 Time-series comparisons of modeled refractive indices with atmospheric refractive indices measured by the DAWN-A during SEAVS for D p = 0.3 μ m. For wet indices, modeled water content includes contributions from both inorganic and organic aerosol fractions (I+O).
![FIG. 11 Time-series comparisons of modeled refractive indices with atmospheric refractive indices measured by the DAWN-A during SEAVS for D p = 0.3 μ m. For wet indices, modeled water content includes contributions from both inorganic and organic aerosol fractions (I+O).](/cms/asset/77f07255-9078-4b9f-be18-7dd17d979490/uast_a_227110_o_f0011g.gif)