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Implementation of a 2D Wavelet Method to Probe Mixed Layer Height Using Lidar Observations

机译:利用激光雷达观测值来探测混合层高度的二维小波方法的实现

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摘要

A new method was developed to estimate mixed layer (ML) height with light detection and ranging (lidar) observations using a 2Dimensional (2D) wavelet method, which can consider the diurnal variation characteristics of ML height. Ideal signals and real lidar observations in Shanghai, China were used to evaluate the new method. The results showed that the new method is insensitive to the type of wavelet filters. The estimated ML heights obtained by the 2D wavelet method agreed well with both of the previous methods developed for the ML height probing using lidar, including the gradient method, the 1D-wavelet method, the standard deviation method, and the conventional radiosonde method. The primary differences among the results obtained via the different lidar methods occurred in the early morning or later afternoon; when the ML is well mixed, very small differences were observed among the different lidar methods. The new method showed better determination skills than other methods when compared to the radiosonde observation results. It also performed well when there were missing profiles or observation errors and it made the new method suitable for operations where data quality control may be missed.
机译:开发了一种使用二维(2D)小波方法通过光检测和测距(激光雷达)观测来估计混合层(ML)高度的新方法,该方法可以考虑ML高度的日变化特征。使用中国上海的理想信号和真实的激光雷达观测来评估该新方法。结果表明,该新方法对小波滤波器的类型不敏感。通过2D小波方法获得的估计ML高度与为使用激光雷达探测ML高度而开发的两种先前方法都非常吻合,包括梯度法,一维小波方法,标准差方法和常规探空仪方法。通过不同的激光雷达方法获得的结果之间的主要差异发生在清晨或下午。当ML混合均匀时,在不同的激光雷达方法之间观察到很小的差异。与探空仪的观测结果相比,新方法显示出比其他方法更好的确定技能。当缺少配置文件或观察错误时,它也表现良好,并且使新方法适用于可能错过数据质量控制的操作。

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