Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4489-2022
https://doi.org/10.5194/gmd-15-4489-2022
Development and technical paper
 | 
10 Jun 2022
Development and technical paper |  | 10 Jun 2022

University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: adaptation of a mixed Eulerian–Lagrangian numerical model for heterogeneous computing clusters

Piotr Dziekan and Piotr Zmijewski

Data sets

Data and scripts accompanying the paper "University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0" P. Dziekan and P. Zmijewski https://doi.org/10.5281/ZENODO.5744404

Model code and software

libcloudph++ v3.0 source code P. Dziekan, S. Arabas, A. Jaruga, M. Waruszewski, and D. Jarecka https://doi.org/10.5281/ZENODO.5710819

University of Warsaw Lagrangian Cloud Model v2.0 source code P. Dziekan and M. Waruszewski https://doi.org/10.5281/zenodo.6390762

libmpdata++ v2.0-beta source code S. Arabas, M. Waruszewski, P. Dziekan, A. Jaruga, D. Jarecka, C. Badger, and C. Singer https://doi.org/10.5281/ZENODO.5713363

IGFUW code repository Cloud Modelling Group at IGFUW https://github.com/igfuw/

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Short summary
Detailed computer simulations of clouds are important for understanding Earth's atmosphere and climate. The paper describes how the UWLCM has been adapted to work on supercomputers. A distinctive feature of UWLCM is that air flow is calculated by processors at the same time as cloud droplets are modeled by graphics cards. Thanks to this, use of computing resources is maximized and the time to complete simulations of large domains is not affected by communications between supercomputer nodes.