Articles | Volume 13, issue 11
Atmos. Meas. Tech., 13, 6237–6254, 2020
https://doi.org/10.5194/amt-13-6237-2020
Atmos. Meas. Tech., 13, 6237–6254, 2020
https://doi.org/10.5194/amt-13-6237-2020

Research article 20 Nov 2020

Research article | 20 Nov 2020

Filtering of pulsed lidar data using spatial information and a clustering algorithm

Leonardo Alcayaga

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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 Leonardo Alcayaga on behalf of the Authors (18 Jul 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Aug 2020) by Murray Hamilton
RR by Anonymous Referee #1 (18 Aug 2020)
ED: Publish as is (25 Aug 2020) by Murray Hamilton
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Short summary
Wind lidars present advantages over meteorological masts, including simultaneous multipoint observations, flexibility in measuring geometry, and reduced installation cost. But wind lidars come with the cost of increased complexity in terms of data quality and analysis. The common carrier-to-noise ratio and median filters are compared to the DBSCAN clustering algorithm to find improved data quality and recovery rate.