Articles | Volume 15, issue 15
Model description paper
12 Aug 2022
Model description paper |  | 12 Aug 2022

Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs

Akshay Sridhar, Yassine Tissaoui, Simone Marras, Zhaoyi Shen, Charles Kawczynski, Simon Byrne, Kiran Pamnany, Maciej Waruszewski, Thomas H. Gibson, Jeremy E. Kozdon, Valentin Churavy, Lucas C. Wilcox, Francis X. Giraldo, and Tapio Schneider


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-335', Anonymous Referee #1, 19 Nov 2021
  • RC2: 'Comment on gmd-2021-335', Anonymous Referee #2, 03 Dec 2021
  • AC1: 'Author Responses (AC) to reviewer comments (RC1 and RC2)', Akshay Sridhar, 14 Mar 2022
  • AC2: 'Supplementary material for AC', Akshay Sridhar, 14 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Akshay Sridhar on behalf of the Authors (11 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (26 Apr 2022) by Travis O'Brien
RR by Anonymous Referee #1 (07 May 2022)
ED: Publish as is (07 May 2022) by Travis O'Brien

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Akshay Sridhar on behalf of the Authors (20 Jul 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (20 Jul 2022) by Travis O'Brien
Short summary
ClimateMachine is a new open-source Julia-language atmospheric modeling code. We describe its limited-area configuration and the model equations, and we demonstrate applicability through benchmark problems, including atmospheric flow in the shallow cumulus regime. We show that the discontinuous Galerkin numerics and model equations allow global conservation of key variables (up to sources and sinks). We assess CPU strong scaling and GPU weak scaling to show its suitability for large simulations.