Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5809–5821, 2021
https://doi.org/10.5194/amt-14-5809-2021
Atmos. Meas. Tech., 14, 5809–5821, 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 et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-5', Anonymous Referee #1, 12 Mar 2021
  • RC2: 'Comment on amt-2021-5', Anonymous Referee #2, 06 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Blake Actkinson on behalf of the Authors (24 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Jun 2021) by Glenn Wolfe
RR by Anonymous Referee #2 (12 Jul 2021)
ED: Publish as is (12 Jul 2021) by Glenn Wolfe
Download
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.