通过点观测方法和现场测量来检测微爆发的新方法,用于用多普勒天气雷达进行验证研究
Ekim Külüm1,2, Mustafa Serdar Genç1,3, Ferhat Karagöz4
1Wind Engineering and Aerodynamics Research Laboratory, Department of Energy, Systems Engineering, Erciyes University, Kayseri, Turkey.
PloS one
|March 7, 2025
概括
一个新的算法有效地使用LIDAR,风力计和天气雷达检测微爆. 这种风力剪切检测方法提供了显著的经济优势,并提高了航空和风能安全.
科学领域:
- 气象学 天气学
- 大气科学 大气科学
- 航空航天工程 航空航天工程
背景情况:
- 风切削 (WS) 在航空,风能和城市规划方面存在重大风险.
- 准确的微爆发 (MB) 检测对于安全和运营效率至关重要.
研究的目的:
- 使用多个气象数据源开发和验证用于微爆发检测的新算法.
- 评估算法的性能和经济可行性.
主要方法:
- 将一个新的算法应用于光检测和测距 (LIDAR) 和杯气计数据 (1分钟和10分钟间隔).
- 根据功率法和国际风力剪切标准定义的微爆条件参数.
- 使用经典方法与多普勒天气雷达 (DWR) 数据对比验证结果.
主要成果:
- 该算法在1分钟和10分钟的间隔中分别实现了85%和66%的检测匹配.
- 多普勒天气雷达验证显示80%和75%的每日事件匹配1分钟和10分钟的数据.
- 在LIDAR,风力计和天气雷达中表现出良好的连续性.
结论:
- 新的算法可靠地检测各种气象仪器中的微爆发事件.
- 该算法提供了显著的经济优势,并通过精确的风剪检测提高了安全性.
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