Articles | Volume 14, issue 7
Atmos. Meas. Tech., 14, 5139–5151, 2021
https://doi.org/10.5194/amt-14-5139-2021
Atmos. Meas. Tech., 14, 5139–5151, 2021
https://doi.org/10.5194/amt-14-5139-2021

Research article 28 Jul 2021

Research article | 28 Jul 2021

Analysis of mobile monitoring data from the microAeth® MA200 for measuring changes in black carbon on the roadside in Augsburg

Xiansheng Liu et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiansheng Liu on behalf of the Authors (23 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Reconsider after major revisions (28 Apr 2021) by Alfred Wiedensohler
ED: Referee Nomination & Report Request started (02 May 2021) by Alfred Wiedensohler
RR by Anonymous Referee #1 (10 May 2021)
RR by Anonymous Referee #2 (11 May 2021)
ED: Reconsider after major revisions (20 May 2021) by Alfred Wiedensohler
AR by Xiansheng Liu on behalf of the Authors (09 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (30 Jun 2021) by Alfred Wiedensohler
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Short summary
A monitoring campaign was conducted in Augsburg to determine a suitable noise reduction algorithm for the MA200 Aethalometer. Results showed that centred moving average (CMA) post-processing effectively removed spurious negative concentrations without major bias and reliably highlighted effects from local sources, effectively increasing spatio-temporal resolution in mobile measurements. Evaluation of each method on peak sample reduction and background correction further supports the reliability.