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

1
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
2
Guizhou Institute of Mountain Environment and Climate, Guiyang 550002, China
3
Jiangsu Climate Center, Nanjing 210009, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(14), 2516; https://doi.org/10.3390/ijerph16142516
Received: 11 June 2019 / Revised: 10 July 2019 / Accepted: 10 July 2019 / Published: 14 July 2019
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Abstract

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. View Full-Text
Keywords: mixed layer height; 2D wavelet; lidar observations mixed layer height; 2D wavelet; lidar observations
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Zhang, N.; Yang, F.; Chen, Y. Implementation of a 2D Wavelet Method to Probe Mixed Layer Height Using Lidar Observations. Int. J. Environ. Res. Public Health 2019, 16, 2516.

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