PySDM v1: Particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry

作     者：Bartman, Piotr Bulenok, Oleksii Górski, Kamil Jaruga, Anna Lazarski, Grzegorz Olesik, Michael Piasecki, Bartosz Singer, Clare E. Talar, Aleksandra Arabas, Sylwester 

作者机构：Faculty of Mathematics and Computer Science Jagiellonian University Kraków Poland Department of Environmental Science and Engineering California Institute of Technology PasadenaCA United States Faculty of Chemistry Jagiellonian University Kraków Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Kraków Poland University of Illinois at Urbana-Champaign UrbanaIL United States 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2021年

核心收录：

主　　题：Python 

摘      要：PySDM is an open-source Python package for simulating the dynamics of particles undergoing condensational and collisional growth, interacting with a fluid flow and subject to chemical composition changes. It is intended to serve as a building block for process-level as well as computational-fluid-dynamics simulation systems involving representation of a continuous phase (air) and a dispersed phase (aerosol), with PySDM being responsible for representation of the dispersed phase. The PySDM package core is a Pythonic high-performance implementation of the Super-Droplet Method (SDM) Monte-Carlo algorithm for representing collisional growth, hence the name. PySDM has two alternative parallel number-crunching backends available: multi-threaded CPU backend based on Numba and GPU-resident backend built on top of ThrustRTC. The usage examples are built on top of four simple atmospheric cloud modelling frameworks: box, adiabatic parcel, single-column and 2D prescribed flow kinematic models. In addition, the package ships with tutorial code depicting how PySDM can be used from Julia and Matlab. Copyright © 2021, The Authors. All rights reserved.