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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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
AR by Siying Chen on behalf of the Authors (19 Oct 2020)  Manuscript 
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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.