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To simulate wind speed, the harmonic superposition method is used, which may take longer to compute but yields a higher degree of accuracy. This method is commonly used in meteorology to predict wind patterns and their impact on various industries such as agriculture, aviation, and energy production. By employing this technique, we can better understand the complex dynamics of wind patterns and their potential impact on our daily lives. Additionally, this computational approach can be further enhanced with machine learning algorithms, which can help to further refine the accuracy of our simulations and predictions. Overall, the harmonic superposition method is a valuable tool for those working in fields that are impacted by wind patterns, and can help to provide a more comprehensive understanding of this important natural phenomenon.