slayoo - Sylwester Arabas : homepage
I work in the group of Hanna Pawłowska at the Atmospheric Physics Division, Faculty of Physics, University of Warsaw, Poland. I study aerosol, cloud, and precipitation microphysics, mostly by means of numerical modelling.
I'm a software developer, coding mostly for free/libre/open-source projects in scientific computing and data analysis.
This paper introduces a library of algorithms for representing cloud microphysics in numerical models written in C++, hence the name libcloudph++. In the initial release, the library covers three warm-rain schemes: the single- and double-moment bulk schemes, and the particle-based scheme with Monte-Carlo coalescence. The paper includes description of the programming interface (API) of the library and a performance analysis including comparison of GPU and CPU setups.
Arabas & Shima 2013, Large-Eddy Simulations of Trade Wind Cumuli Using Particle-Based Microphysics with Monte Carlo Coalescence, J. Atmos. Sci. 70
The paper discusses a set of LES simulations employing the particle-based cloud microphysics representation - the so-called Super-Droplet Approach of Shin-ichiro Shima with whom I was working during my visit to JAMSTEC in Yokohama in 2010. All simulations ran on The Earth Simulator.
Arabas & Pawlowska 2011, Adaptive method of lines for multi-component aerosol condensational growth and CCN activation, Geosci. Model Dev. 4
Description of a numerical model of the process of formation of cloud droplets on aerosol particles. Paper covers model formulation, brief decription of the implementation, examples results, and model source code (C++) in the electronic supplement. That's my contribution to the EUCAARI project I was involved in during the first part of my PhD studies.
Arabas, Pawlowska & Grabowski 2009, Effective radius and droplet spectral width from in-situ aircraft observations in trade-wind cumuli during RICO, Geophys. Res. Lett., 36
My MSc thesis project. The paper presents statistics of cloud microphysical properties measured during the RICO field campaign using the Fast-FSSP instrument mounted on the NCAR C-130 research aircraft. The results are intended e.g. for validation of large-scale cloud models.