High Performance, High Fidelity: A GPU‐Accelerated Doubly‐Periodic Configuration of the Simple Cloud‐Resolving E3SM Atmosphere Model Version 1 (DP‐SCREAMv1)
Year: 2025
Type: article
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.
DOI: 10.1029/2025ms005127
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,650
Funders: U.S. Department of Energy, Battelle, National Energy Research Scientific Computing Center, Office of Science, National Nuclear Security Administration, Biological and Environmental Research, Lawrence Livermore National Laboratory, Sandia National Laboratories, Pacific Northwest National Laboratory
Awards: G1071216263, G11630931, G122673668, G1242655424, G1286236842, G1337544421, G1356433355, G14554683, G1549427926, G1591330662, G1677143136, G1756126698, G2145270357, G217780377, G2214935549, G223002938, G280414146, G2812390658, G2900453181, G2988778103, G3083819904, G3624711596, G3669113783, G3933667097, G413247060, G419881185, G42916606, G4501827968, G4903105778, G498139845, G5076365615, G5339743583, G538270251, G5726405315, G574795485, G5869080520, G613759197, G6652958823, G7468415492, G7787287669, G8163035529, G8326222658, G84288863, G855168022, G8922552302, G895790057, G945488202, G969889393, G991281326
OpenAlex ID: W4416413609