Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 11
Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4489-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-15-4489-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 11
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

Viewed

Total article views: 1,977 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,590 337 50 1,977 28 24
  • HTML: 1,590
  • PDF: 337
  • XML: 50
  • Total: 1,977
  • BibTeX: 28
  • EndNote: 24
Views and downloads (calculated since 10 Dec 2021)
Cumulative views and downloads (calculated since 10 Dec 2021)

Viewed (geographical distribution)

Total article views: 1,977 (including HTML, PDF, and XML) Thereof 1,848 with geography defined and 129 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
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.
Read more
Special issue
Particle-based methods for simulating atmospheric aerosol...