Infrared and Laser Engineering, Volume. 53, Issue 5, 20230677(2024)
Research on the method of extracting atmospheric boundary layer height based on wavelet multiscale analysis
Fig. 1. Shearlets frequency domain segmentation and its supporting basis
Fig. 3. The spatiotemporal distribution of aerosols over the entire sky on July 27, 2017. (a) Parallel component distance squared correction signal; (b) Vertical component distance squared correction signal; (c) Polarization ratio
Fig. 4. Changes observed by lidar on July 27, 2017. (a) 532 nm wavelength PRR signal strength; (b) Boundary layer height inversion using gradient method, wavelet covariance method, and wavelet multi-scale method for 532 nm wavelength
Fig. 5. Scatter plot of atmospheric boundary layer height comparison. (a) The scatter plot of PBLHWCT compared to PBLHShearlet; (b)The scatter plot of PBLHGradient compared to PBLHShearlet
Fig. 6. Vertical component distance squared correction signal, time scale energy spectrum at 08:00:45
Fig. 7. Vertical component distance squared correction signal, time scale energy spectrum at 18:30:36
Fig. 8. Vertical component distance squared correction signal, time scale energy spectrum at 23:00:37
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Meng Li, Jiaxin Li, Xinqian Guo, Decheng Wu, Suyue Liu. Research on the method of extracting atmospheric boundary layer height based on wavelet multiscale analysis[J]. Infrared and Laser Engineering, 2024, 53(5): 20230677
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Received: Dec. 5, 2023
Accepted: --
Published Online: Jun. 21, 2024
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