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

Modeling the contribution of secondary aerosols on aerosol scattering ensemble: a comparative analysis of the scattering abilities of different aerosol species

Atmospheric transport processes and conditions can cause primary aerosols to interact, giving rise to secondary aerosols with unique chemical and physical properties. These new species of aerosols can potentially influence the light-scattering properties of the aerosol ensemble and thus the climate system in ways that are not yet fully understood. In this study, the effects of different aerosol types on the scattering of incident solar radiation are modeled and the contribution of secondary aerosols to the aerosol scattering ensemble is highlighted. Using the discrete dipole approximation method, the scattering properties of freshwater droplets, sea salts (liquid, dry, and wet solids), ice crystals, clay minerals, clay particles coated with a thin film of water and sea salt droplets, black carbon (BC), and a complex particle of clay, sea salt, and BC with sulphate coating are calculated and compared. The calculations assume a spherical particle shape model for marine aerosols, a distorted cube for wet salts and ice, and a distorted ellipse with an induced surface roughness length for terrestrial aerosols at a size parameter of x=5 and a wavelength range of 400 to 750 nm. The results show that tiny ice crystals trapped in freshwater droplets are the most efficient atmospheric scatterers, followed by sea salt droplets, while BC absorbs the most compared to other aerosols studied. On average, the atmospheric interaction between marine and terrestrial aerosols is able to enhance atmospheric light scattering and polarisation by aerosols compared to terrestrial aerosols. This study suggests that the scenario in which there are many freshwater aerosols in the atmosphere can be very healthy for the Earth's system compared to other aerosols. Therefore, we suggest that when formulating the radiative properties of aerosols in climate models, the scenarios of dominant freshwater aerosols and the contribution of secondary aerosols should not be ignored. The results presented here may be useful in the fields of Geoengineering and Aerosol-cloud microphysics.

Flexible implementation of the particle shape and internal inhomogeneity in the invariant imbedding T-matrix method

We report a new implementation of the invariant imbedding T-matrix (IITM) method based on a discrete spherical grid approach for representing the particle shape and internal inhomogeneity. The new version of the IITM (referred to as the IITM-discrete) improves the flexibility of the IITM-especially for inhomogeneous particles. It is much more convenient for specifying the particle morphology in the electromagnetic wave scattering simulations. Particle shape is represented by a series of discrete spherical layers ranging from the inscribed sphere to the circumscribed sphere. Spherical layers are discretized by the centroidal Voronoi tessellation (CVT) approach. The procedure of computing the U-matrix (the only shape-dependent module in the T-matrix program) is simplified upon using the gridded particle shape and refractive index information saved in an external file. The grid resolution is a key factor that determines the numerical accuracy and computational cost. Numerical tests of IITM-discrete show its compatibility with other light scattering methods. Using IITM-discrete, we found that the internal inhomogeneity could have large impact on dust optical properties.

Lidar Ratio-Depolarization Ratio Relations of Atmospheric Dust Aerosols: The Super-Spheroid Model and High Spectral Resolution Lidar Observations

The backscattering optical properties of an ensemble of randomly oriented dust particles at a wavelength of 355 nm were comprehensively studied by examining the invariant imbedding T-matrix results of the super-spheroid dust model. In particular, we focused on the lidar ratio ( S ) and depolarization ratio ( δ ) relations of dust aerosols to aid interpretation of data from the Atmospheric Lidar (ATLID) instrument that will be onboard the Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) satellite. Super-spheroid models with various aspect ratios ( α ), roundness parameters ( n ) , and refractive indices were investigated over a wide range of particle sizes and compared to the observation data of the National Aeronautics and Space Administration (NASA) Langley 355-nm airborne high spectral resolution lidar. We found that super-spheroid dust particles with different sets of n and α could be used to model almost the entire range of the observed joint distributions of S and δ . The S - δ relation could effectively discriminate among dust particle types. The observed S and δ values with the largest population density were best covered by models with n > 2, especially by those with n varying from 2.4 to 3.0.