Abstract. An accurate simulation of the absorption properties is key for assessing the
radiative effects of aerosol on meteorology and climate. The representation
of how chemical species are mixed inside the particles (the mixing state) is
one of the major uncertainty factors in the assessment of these effects. Here
we compare aerosol optical properties simulations over Europe and North
America, coordinated in the framework of the third phase of the Air Quality
Model Evaluation International Initiative (AQMEII), to 1 year of AERONET
sunphotometer retrievals, in an attempt to identify a mixing state
representation that better reproduces the observed single scattering albedo
and its spectral variation. We use a single post-processing tool (FlexAOD) to
derive aerosol optical properties from simulated aerosol speciation profiles,
and focus on the absorption enhancement of black carbon when it is internally
mixed with more scattering material, discarding from the analysis scenes
dominated by dust. We found that the single scattering albedo at 440 nm (ω0,440) is
on average overestimated (underestimated) by 3–5 % when external
(core-shell internal) mixing of particles is assumed, a bias comparable in
magnitude with the typical variability of the quantity. The (unphysical)
homogeneous internal mixing assumption underestimates ω0,440 by
∼14 %. The combination of external and core-shell configurations
(partial internal mixing), parameterized using a simplified function of air
mass aging, reduces the ω0,440 bias to -1/-3 %. The black
carbon absorption enhancement (Eabs) in core-shell with respect to
the externally mixed state is in the range 1.8–2.5, which is above the
currently most accepted upper limit of ∼1.5. The partial internal
mixing reduces Eabs to values more consistent with this limit.
However, the spectral dependence of the absorption is not well reproduced,
and the absorption Ångström exponent AAE675440 is
overestimated by 70–120 %. Further testing against more comprehensive
campaign data, including a full characterization of the aerosol profile in
terms of chemical speciation, mixing state, and related optical properties,
would help in putting a better constraint on these calculations.