Preprints
https://doi.org/10.5194/egusphere-2024-2922
https://doi.org/10.5194/egusphere-2024-2922
25 Oct 2024
 | 25 Oct 2024
Status: this preprint is open for discussion.

ROMSOC: A regional atmosphere-ocean coupled model for CPU-GPU hybrid system architectures

Gesa K. Eirund, Matthieu Leclair, Matthias Muennich, and Nicolas Gruber

Abstract. Recent years have seen significant efforts to refine the horizontal resolutions of global and regional climate models to the kilometer scale. This refinement aims to better resolve atmospheric and oceanic mesoscale processes, thereby improving the fidelity of simulations. However, these high-resolution simulations are computationally demanding, often necessitating trade-offs between resolution and simulated timescale. A key challenge is that many existing models are designed to run on central processing units (CPUs) alone, limiting their ability to leverage the full computational power of modern supercomputers, which feature hybrid architectures with both CPUs and graphics processing units (GPUs).

In this study, we introduce ROMSOC, a newly developed regional coupled atmosphere-ocean model. ROMSOC integrates the Regional Oceanic Modeling System (ROMS) in its original CPU-based configuration with the Consortium for Small-Scale Modeling (COSMO) model (v5.12), which can utilize GPU accelerators on heterogeneous system architectures. This combination efficiently exploits the hybrid CPU-GPU architecture of the Piz Daint supercomputer at the Swiss National Supercomputing Centre (CSCS), achieving a speed-up of up to six times compared to a CPU-only version with the same number of nodes.

We evaluated the model using a configuration focused on the northeast Pacific, where ROMS covers the entire Pacific Ocean with a telescopic grid, providing full ocean mesoscale-resolving refinement in the California Current System (CalCS; 4 km resolution). Meanwhile, COSMO covers most of the northeast Pacific at a 7 km resolution. This configuration was run in hindcast mode for the years 2010–2021, examining the roles of different modes of air-sea coupling at the mesoscale, including thermodynamical coupling (associated with heat fluxes) and mechanical coupling (associated with wind stress and surface ocean currents).

Our evaluation indicates that the hindcast generally agrees well with observations and reanalyses. Notably, large-scale sea surface temperature (SST) patterns and coastal upwelling are well-represented, but SSTs show a small cold bias, resulting from too-strong wind forcing. Additionally, the coupled model exhibits a deeper and more realistic simulation of the ocean mixed-layer depth with a more pronounced seasonal cycle, driven by the enhanced wind-driven mixing. On the other hand, our ROMSOC simulations reveal a negative cloud cover bias off the coast of southern California, a common issue in climate models.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Gesa K. Eirund, Matthieu Leclair, Matthias Muennich, and Nicolas Gruber

Status: open (until 20 Dec 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Gesa K. Eirund, Matthieu Leclair, Matthias Muennich, and Nicolas Gruber
Gesa K. Eirund, Matthieu Leclair, Matthias Muennich, and Nicolas Gruber

Viewed

Total article views: 126 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
95 23 8 126 1 1
  • HTML: 95
  • PDF: 23
  • XML: 8
  • Total: 126
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 25 Oct 2024)
Cumulative views and downloads (calculated since 25 Oct 2024)

Viewed (geographical distribution)

Total article views: 124 (including HTML, PDF, and XML) Thereof 124 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
Short summary
To realistically simulate small-scale processes in the atmosphere and ocean, such as clouds or mixing, high-resolution numerical models are needed. However, these models are computationally very demanding. Here, we present a newly developed atmosphere-ocean model, which is able to resolve most of these processes and is less expensive to run, due to its computational design. Our model can be used for a wide range of applications, as the investigation of marine heatwaves or future projections.