Acta Optica Sinica, Volume. 43, Issue 12, 1228004(2023)
A Highly Robust Atmospheric Boundary Layer Height Estimation Method Combining K-means and Entropy Weight Method
Fig. 2. Characteristics of NRB on cloudy at 17:32 UTC, 22 March 2004. (a) Vertical distributions of NRB; (b) gradient of NRB; (c) relative increase of NRB
Fig. 3. Profile of NRB gradient after processed by interval thresholding technique
Fig. 4. Clustering effects under different clusters to profile of NRB. (a) k =3; (b) k =4; (c) k =5; (d) k =6
Fig. 5. ABLH estimated by different methods on clear sky conditions on 31 March 2004
Fig. 6. ABLH estimated by different methods on polluted conditions on 17 May 2002
Fig. 7. ABLH estimated by different methods on cloudy conditions on 22 March 2004
Fig. 8. Comparisons between ABLH results determined by lidar-based methods and radiosonde on clear sky. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
Fig. 9. Comparisons between ABLH results determined by lidar-based methods and radiosonde on cloudy or structure of the suspended aerosol layer. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
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Zhenxing Liu, Jianhua Chang, Hongxu Li, Yuanyuan Meng, Mei Zhou, Tengfei Dai. A Highly Robust Atmospheric Boundary Layer Height Estimation Method Combining K-means and Entropy Weight Method[J]. Acta Optica Sinica, 2023, 43(12): 1228004
Category: Remote Sensing and Sensors
Received: Jul. 26, 2022
Accepted: Oct. 14, 2022
Published Online: Apr. 25, 2023
The Author Email: Chang Jianhua (jianhuachang@nuist.edu.cn)