# Geometric modeling of aerosol surface roughness and numerical simulation of its impact on aerosol optical properties

## TL;DR

This paper introduces a stochastic geometric modeling method for aerosol surface roughness and evaluates its impact on optical scattering properties using advanced computational techniques, improving understanding of aerosol-light interactions.

## Contribution

It presents a novel stochastic modeling approach for aerosol surface roughness and applies it to compute optical properties with enhanced accuracy over smooth models.

## Key findings

- Rough surface models outperform smooth particles in scattering simulations.
- Entropy measures effectively distinguish scattering similarities.
- The method covers particles from Rayleigh to geometric optics regimes.

## Abstract

A stochastic method is introduced for geometric modeling aerosol surface roughness with random field and discrete differential geometry theory. Optical scattering properties are computed for randomly oriented spheroidal particles with uniformly random surface roughness. Invariant imbedding T-Matrix and geometric optics method are applied to compute light scattering properties of aerosol particles covered from Rayleigh to geometric optics region. We simulatied scattering phase matrix of model particles, better performace is obtained than smooth particles. We aslo introduce introduce entropy and relative entropy as measures to distinguish the optical scattering similarities between different particles.