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[4] HDF Group. (2024). HDF5 64-bit features and performance. HDF5 Documentation. wind64
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Author: [Your Name] Affiliation: [Your University / Research Institution] Date: April 14, 2026 Abstract As wind energy penetration increases globally, the need for accurate, high-resolution, and computationally efficient wind flow models becomes critical. Existing 32-bit legacy systems suffer from memory addressing limitations and reduced numerical precision, hindering large-eddy simulations (LES) and real-time ensemble forecasting. This paper introduces Wind64 , a 64-bit computational framework designed specifically for mesoscale to microscale wind modeling. Wind64 leverages 64-bit memory addressing to handle grid sizes exceeding (10^9) cells, double-precision arithmetic for improved solver stability, and parallel I/O for petabyte-scale meteorological data. We present the system architecture, numerical methods, benchmark tests against the Weather Research and Forecasting (WRF) model, and a case study of a 200-turbine offshore wind farm. Results show a 4.2× speedup in simulation time and a 37% reduction in mean absolute error for wake-loss predictions compared to 32-bit baselines. Wind64 offers an open-source, scalable solution for next-generation wind resource assessment and operational forecasting. A description of the Advanced Research WRF model version 4