Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6675-2020
https://doi.org/10.5194/amt-13-6675-2020
Research article
 | 
09 Dec 2020
Research article |  | 09 Dec 2020

A novel lidar gradient cluster analysis method of nocturnal boundary layer detection during air pollution episodes

Yinchao Zhang, Su Chen, Siying Chen, He Chen, and Pan Guo

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Cited articles

Banks, R. F., Tiana-Alsina, J., María Baldasano, J., and Rocadenbosch, F.: Retrieval of boundary layer height from lidar using extended Kalman filter approach, classic methods, and backtrajectory cluster analysis, edited by: Comerón, A., Kassianov, E. I., Schäfer, K., Picard, R. H., Stein, K., and Gonglewski, J. D., Amsterdam, the Netherlands, p. 92420F, 2014. 
Brooks, I. M.: Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles, J. Atmos. Ocean. Tech., 20, 1092–1105, 2003. 
Caicedo, V., Rappenglück, B., Lefer, B., Morris, G., Toledo, D., and Delgado, R.: Comparison of aerosol lidar retrieval methods for boundary layer height detection using ceilometer aerosol backscatter data, Atmos. Meas. Tech., 10, 1609–1622, https://doi.org/10.5194/amt-10-1609-2017, 2017. 
Campbell, J. R., Sassen, K., and Welton, E. J.: Elevated Cloud and Aerosol Layer Retrievals from Micropulse Lidar Signal Profiles, J. Atmos. Ocean. Tech., 25, 685–700, https://doi.org/10.1175/2007JTECHA1034.1, 2008. 
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Short summary
Air pollution has an important impact on human health, climatic patterns, and the ecological environment. The complexity of the nocturnal boundary layer (NBL), combined with its strong physio-chemical effect, induces worse polluted episodes. Therefore, we present a new approach named cluster analysis of gradient method (CA-GM) to overcome the multilayer structure and remove the fluctuation of NBL height using raw data resolution.