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[2] Skamarock, W. C., et al. (2021). A description of the Advanced Research WRF model version 4. NCAR Tech. Note .

[6] Wind64 Developers. (2026). Wind64: User guide and API reference. Zenodo , 10.5281/zenodo.1234567. – Compiler flags and dependencies. Appendix B – Grid convergence study (Δx = 20 m → 5 m). Appendix C – Energy consumption benchmark vs. WRF. This paper follows the standard structure of a computational science journal article and assumes the reader has basic knowledge of fluid dynamics and HPC. wind64

Wind64, wind energy, high-performance computing, large-eddy simulation, 64-bit computing, wind farm optimization. 1. Introduction Wind energy accounts for over 8% of global electricity generation (IEA, 2025). Accurate modeling of wind flow across complex terrains and large turbine arrays remains challenging due to the multiscale nature of atmospheric turbulence. Traditional models often run on 32-bit architectures or legacy codebases, limiting domain size and real-time applicability. [2] Skamarock, W