Articles | Volume 14, issue 8
https://doi.org/10.5194/amt-14-5809-2021
https://doi.org/10.5194/amt-14-5809-2021
Research article
 | 
26 Aug 2021
Research article |  | 26 Aug 2021

SIBaR: a new method for background quantification and removal from mobile air pollution measurements

Blake Actkinson, Katherine Ensor, and Robert J. Griffin

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Latest update: 28 Mar 2024
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Short summary
This paper describes the development of a new method used to estimate background from mobile monitoring time series. The method is tested on a previously published dataset, applied to an extensive mobile dataset, and compared with other previously published techniques used to estimate background. The results suggest that the method is a promising framework for background estimation.