Articles | Volume 13, issue 12
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Siying Chen on behalf of the Authors (28 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Oct 2020) by Daniel Perez-Ramirez
RR by Yi Yang (09 Oct 2020)
RR by Anonymous Referee #3 (17 Oct 2020)
ED: Publish as is (17 Oct 2020) by Daniel Perez-Ramirez
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.