High Performance, High Fidelity: A GPU‐Accelerated Doubly‐Periodic Configuration of the Simple Cloud‐Resolving E3SM Atmosphere Model Version 1 (DP‐SCREAMv1)

Abstract The development of the Simplified Cloud Resolving Energy Exascale Earth System Atmosphere Model (SCREAMv1) enables global storm‐resolving simulations on modern GPU‐based supercomputers. However, the high computational cost of SCREAMv1 limits its routine use for process‐level studies, creating a need for efficient proxy configurations. This study addresses this gap by introducing DP‐SCREAMv1, a doubly periodic cloud‐resolving model designed to be fully consistent with SCREAMv1 while enabling high‐resolution, long‐duration simulations at significantly reduced computational expense by simulating a limited doubly periodic domain rather than the entire globe. Built on a C++/Kokkos architecture, DP‐SCREAMv1 achieves exceptional performance scalability on GPU systems and includes a rich library of cases for validation and scientific exploration. In this work, we demonstrate short wall‐clock times at SCREAMv1's default resolution and show that DP‐SCREAMv1 supports routine execution of large‐domain, high‐resolution experiments that were previously challenging in practice. Furthermore, we show that DP‐SCREAMv1 enables routine execution of “Giga‐LES” style simulations and facilitates large‐domain, high‐resolution simulations that were recently considered burdensome to perform. These results document an efficient, fully consistent process‐level configuration for SCREAMv1 (DP‐SCREAMv1) and illustrate its use for long‐duration and large‐domain experiments at cloud‐resolving to eddy‐permitting resolution.

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-11-01
DOI
https://doi.org/10.1029/2025ms005127
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

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article

High Performance, High Fidelity: A GPU‐Accelerated Doubly‐Periodic Configuration of the Simple Cloud‐Resolving E3SM Atmosphere Model Version 1 (DP‐SCREAMv1)

Naser Mahfouz, Luca Bertagna, Aaron S. Donahue, Andrew Bradley et al.
Journal of Advances in Modeling Earth Systems
Meteorological Phenomena and Simulations
article

High Performance, High Fidelity: A GPU‐Accelerated Doubly‐Periodic Configuration of the Simple Cloud‐Resolving E3SM Atmosphere Model Version 1 (DP‐SCREAMv1)

Naser Mahfouz, Luca Bertagna, Aaron S. Donahue, Andrew Bradley, Noel D. Keen, James Foucar, Hassan Beydoun, Oksana Guba, Thomas C Clevenger, Peter Caldwell, Peter Bogenschutz, Jishi Zhang
article en

Abstract

Abstract The development of the Simplified Cloud Resolving Energy Exascale Earth System Atmosphere Model (SCREAMv1) enables global storm‐resolving simulations on modern GPU‐based supercomputers. However, the high computational cost of SCREAMv1 limits its routine use for process‐level studies, creating a need for efficient proxy configurations. This study addresses this gap by introducing DP‐SCREAMv1, a doubly periodic cloud‐resolving model designed to be fully consistent with SCREAMv1 while enabling high‐resolution, long‐duration simulations at significantly reduced computational expense by simulating a limited doubly periodic domain rather than the entire globe. Built on a C++/Kokkos architecture, DP‐SCREAMv1 achieves exceptional performance scalability on GPU systems and includes a rich library of cases for validation and scientific exploration. In this work, we demonstrate short wall‐clock times at SCREAMv1's default resolution and show that DP‐SCREAMv1 supports routine execution of large‐domain, high‐resolution experiments that were previously challenging in practice. Furthermore, we show that DP‐SCREAMv1 enables routine execution of “Giga‐LES” style simulations and facilitates large‐domain, high‐resolution simulations that were recently considered burdensome to perform. These results document an efficient, fully consistent process‐level configuration for SCREAMv1 (DP‐SCREAMv1) and illustrate its use for long‐duration and large‐domain experiments at cloud‐resolving to eddy‐permitting resolution.

Journal of Advances in Modeling Earth SystemsVol. 17(11)
Lawrence Livermore National Laboratory (US), Pacific Northwest National Laboratory (US), Lawrence Berkeley National Laboratory (US), Sandia National Laboratories (US)
U.S. Department of Energy, Office of Science
Openalex Percentile: Top 60%
Meteorological Phenomena and Simulations
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