Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2979-2022
https://doi.org/10.5194/amt-15-2979-2022
Research article
 | 
13 May 2022
Research article |  | 13 May 2022

Long-term behavior and stability of calibration models for NO and NO2 low-cost sensors

Horim Kim, Michael Müller, Stephan Henne, and Christoph Hüglin

Related authors

Detection and climatology of Saharan dust frequency and mass at the Jungfraujoch (3580 m asl, Switzerland)
Martine Collaud Coen, Benjamin Tobias Brem, Martin Gysel-Beer, Robin Modini, Stephan Henne, Martin Steinbacher, Davide Putero, Maria I. Gini, and Kostantinos Eleftheriadis
EGUsphere, https://doi.org/10.5194/egusphere-2025-4162,https://doi.org/10.5194/egusphere-2025-4162, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
The Zurich Low-cost CO2 sensor network (ZiCOS-L): data processing, performance assessment and analysis of spatial and temporal CO2 dynamics
Luce Creman, Stuart K. Grange, Pascal Rubli, Andrea Fischer, Dominik Brunner, Christoph Hueglin, Lukas Emmenegger, and Leonie Bernet
EGUsphere, https://doi.org/10.5194/egusphere-2025-3425,https://doi.org/10.5194/egusphere-2025-3425, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Measurement report: 30 years of monitoring aromatic hydrocarbons (BTEX) at a suburban site in Europe
Zoé Le Bras, Pascal Rubli, Christoph Hueglin, and Stefan Reimann
EGUsphere, https://doi.org/10.5194/egusphere-2025-3241,https://doi.org/10.5194/egusphere-2025-3241, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Quantification of 21 sugars in tropospheric particulate matter by ultra-high-performance liquid chromatography tandem mass spectrometry
Pauline Bros, Sophie Darfeuil, Véronique Jacob, Rhabira Elazzouzi, Dielleza Tusha, Tristan Rousseau, Julian Weng, Patrik Winiger, Imad El Haddad, Christoph Hueglin, Gaëlle Uzu, and Jean-Luc Jaffrezo
EGUsphere, https://doi.org/10.5194/egusphere-2025-1951,https://doi.org/10.5194/egusphere-2025-1951, 2025
Short summary
Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations
Jakob Boyd Pernov, William H. Aeberhard, Michele Volpi, Eliza Harris, Benjamin Hohermuth, Sakiko Ishino, Ragnhild B. Skeie, Stephan Henne, Ulas Im, Patricia K. Quinn, Lucia M. Upchurch, and Julia Schmale
Atmos. Chem. Phys., 25, 6497–6537, https://doi.org/10.5194/acp-25-6497-2025,https://doi.org/10.5194/acp-25-6497-2025, 2025
Short summary

Cited articles

Anderson, R.: Modern methods for robust regression, Sage Publications, Inc., 1st Edn., Vol. 152, California, United States, 2008. a
Bigi, A., Mueller, M., Grange, S. K., Ghermandi, G., and Hueglin, C.: Performance of NO, NO2 low cost sensors and three calibration approaches within a real world application, Atmos. Meas. Tech., 11, 3717–3735, https://doi.org/10.5194/amt-11-3717-2018, 2018. a, b, c, d, e, f, g, h
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001. a, b
Cross, E. S., Williams, L. R., Lewis, D. K., Magoon, G. R., Onasch, T. B., Kaminsky, M. L., Worsnop, D. R., and Jayne, J. T.: Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements, Atmos. Meas. Tech., 10, 3575–3588, https://doi.org/10.5194/amt-10-3575-2017, 2017. a, b
Hagan, D. H., Isaacman-VanWertz, G., Franklin, J. P., Wallace, L. M. M., Kocar, B. D., Heald, C. L., and Kroll, J. H.: Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments, Atmos. Meas. Tech., 11, 315–328, https://doi.org/10.5194/amt-11-315-2018, 2018. a, b, c
Download
Short summary
In this study, the performance of electrochemical sensors for NO and NO2 for measuring air quality was determined over a longer operating period. The performance of NO sensors remained reliable for more than 18 months. However, the NO2 sensors showed decreasing performance over time. During deployment, we found that the NO2 sensors can distinguish general pollution levels, but they proved unsuitable for accurate measurements due to significant biases.
Share