Status: this preprint has been withdrawn by the authors.
A 3D particle Monte Carlo approach to studying nucleation
Christoph Köhn,Martin Bødker Enghoff,and Henrik Svensmark
Abstract. The nucleation of sulphuric acid molecules plays a key role in the formation of aerosols. We here present a three dimensional particle Monte Carlo model to study the growth of sulphuric acid clusters as well as its dependence on the ambient temperature and the initial particle density.We initiate a swarm of sulphuric acid molecules with a size of 0.15 nm with densities between 107 and 108 cm−3 at temperatures of 200 and 300 K. After every time step, we update the position and velocity of particles as a function of size-dependent diffusion coefficients. If two particles encounter, we merge them and add their volumes and masses. Inversely, we check after every time step whether a polymer evaporates liberating a molecule.We present the spatial distribution as well as the size distribution calculated from individual clusters. We also calculate the nucleation rate of clusters with a radius of 0.85 nm as a function of time, initial particle density and temperature. For 200 K, the nucleation rate increases as a function of time; for 300 K we observe an interplay between clustering and evaporation and thus the oscillation of the nucleation rate around the mean nucleation rate. The nucleation rates obtained from the presented model agree well with experimentally obtained values which serves as a benchmark of our code. In contrast to previous nucleation models, we here present for the first time a code capable of tracing individual particles and thus of capturing the physics related to the discrete nature of particles.
This preprint has been withdrawn.
How to cite. Köhn, C., Bødker Enghoff, M., and Svensmark, H.: A 3D particle Monte Carlo approach to studying nucleation, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2017-269, 2017.
Received: 22 Mar 2017 – Discussion started: 20 Jun 2017