Articles | Volume 15, issue 9
© Author(s) 2022. This work is distributed underthe Creative Commons Attribution 4.0 License.
Long-term behavior and stability of calibration models for NO and NO2 low-cost sensors
- Final revised paper (published on 13 May 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 05 Jan 2022)
- Supplement to the preprint
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor |
: Report abuse
RC1: 'Comment on amt-2021-433', Anonymous Referee #1, 17 Jan 2022
- AC1: 'Reply on RC1', Horim Kim, 31 Mar 2022
RC2: 'Comment on amt-2021-433', Laurent Spinelle, 25 Feb 2022
- AC2: 'Reply on RC2', Horim Kim, 31 Mar 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Horim Kim on behalf of the Authors (31 Mar 2022)  Author's response Author's tracked changes Manuscript
ED: Publish subject to technical corrections (04 Apr 2022) by Albert Presto
AR by Horim Kim on behalf of the Authors (07 Apr 2022)  Author's response Manuscript
This manuscript evaluated NO and NO2 sensors' performance during long-term deployments. Calibration models and evaluation metrics are described in detail, supporting relative conclusions. The manuscript is organized well, and this topic is important for the field deployment of air quality sensors. Therefore, I would recommend accepting the manuscript after minor revision.
1. It is good to use the Taylor diagram to show multiple metrics. It will be helpful to describe where an ideal sensor should locate in the Taylor diagram.
2. On Page 5, please explain more about equation 1. It is unclear why the author would like to address relative humidity in this form. In addition, more information is needed regarding the importance of Δt0.
3. On Page 19-20, the author summarized potential reasons causing the deterioration of sensors and highlighted meteorological events and relative humidity. This paper also discusses the aging of NO2 sensors but identified ozone O3 as the major cause (Li et al., Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments). It will be interesting to see why different reasons for sensor aging were identified.