Optimization of wind energy integration requires knowing the relationship between weather patterns and winds they cause. For a region with less-studied weather such as the Middle East, climatology becomes more vital. The Shagaya Renewable Energy Park in development in Kuwait experiences regional wind regimes that affect wind power production. Weather Research and Forecasting (WRF) model output allowed investigation into the weather regimes most likely to impact Shagaya Park. The self-organizing maps (SOMs) machine-learning method clustered the WRF output into six primary weather regimes experienced by the Middle East. According to the wind regimes mapped by the SOM, two of the six regimes have average wind speeds of approximately 9.9 and 8.6 m s−1 at 80 m near Shagaya Park, as well as wind speed and estimated wind power distributions that are more favorable to wind power production in Kuwait. One regime depicts a strong northwesterly wind called the summer shamal, and the second is associated with strong westerlies. Regimes less favorable for Kuwaiti wind power production are represented by the remaining four SOM nodes: local weak southeasterlies, an African nocturnal low-level jet, a daytime planetary boundary layer, and local northwesterlies from autumn to spring. The remaining four SOM nodes have average wind speeds of 5.7–7.2 m s−1 and wind speed and estimated wind power distributions which indicate regimes less favorable for wind power production in Kuwait.

中文翻译：

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使用自组织地图识别科威特附近的风况

风能整合的优化需要了解天气模式与其引起的风之间的关系。对于像中东这样的天气研究较少的地区，气候学变得更加重要。科威特正在开发的沙加亚可再生能源园区经历了影响风力发电的区域风况。天气研究和预报 (WRF) 模型输出允许调查最有可能影响 Shagaya 公园的天气状况。自组织地图 (SOM) 机器学习方法将 WRF 输出聚类为中东经历的六种主要天气状况。根据SOM绘制的风况，6个风况中的2个风况在沙加雅公园附近80 m处的平均风速约为9.9和8.6 ms−1，并且风速和估计的风功率分布都对风有利科威特的电力生产。一种风势描述了称为夏季沙马尔的强烈西北风，第二种风势与强烈的西风有关。对科威特风力发电不利的情况以其余四个 SOM 节点为代表：局部弱东南风、非洲夜间低空急流、白天行星边界层以及秋季至春季局部西北风。其余四个 SOM 节点的平均风速为 5.7–7.2 ms−1，风速和估计的风电分布表明科威特的风电生产不太有利。