Articles | Volume 18, issue 15
https://doi.org/10.5194/amt-18-3635-2025
https://doi.org/10.5194/amt-18-3635-2025
Research article
 | 
07 Aug 2025
Research article |  | 07 Aug 2025

Seasonal effects in the application of the MOment MAtching (MOMA) remote calibration tool to outdoor PM2.5 air sensors

Lena Francesca Weissert, Geoff Stephen Henshaw, Andrea Lee Clements, Rachelle Monique Duvall, and Carry Croghan

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Performance evaluation of MOMA (MOment MAtching) – a remote network calibration technique for PM2.5 and PM10 sensors
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Cited articles

Ardon-Dryer, K., Dryer, Y., Williams, J. N., and Moghimi, N.: Measurements of PM2.5 with PurpleAir under atmospheric conditions, Atmos. Meas. Tech., 13, 5441–5458, https://doi.org/10.5194/amt-13-5441-2020, 2020. 
Badura, M., Batog, P., Drzeniecka-Osiadacz, A., and Modzel, P.: Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring, J. Sensors, 2018, 1–16, https://doi.org/10.1155/2018/5096540, 2018. 
Barkjohn, K. K., Gantt, B., and Clements, A. L.: Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor, Atmos. Meas. Tech., 14, 4617–4637, https://doi.org/10.5194/amt-14-4617-2021, 2021. 
Barkjohn, K. K., Holder, A. L., Frederick, S. G., and Clements, A. L.: Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke, Sensors, 22, 9669, https://doi.org/10.3390/s22249669, 2022. 
Carslaw, D. and Davison, J. Worldmet: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD), R package version 0.9.9.9000, GitHub, https://github.com/openair-project/worldmet (last access: 25 July 2025), 2025. 
Short summary
This study evaluates a remote calibration tool, referred to as MOment MAtching (MOMA), for calibrating PurpleAir PM2.5 sensors, especially for varying PM sources, and compares it with the Environmental Protection Agency (EPA) correction. MOMA improved the accuracy of PurpleAir sensor data comparable to the EPA correction. Although reliant on nearby reference sites, MOMA offers valuable insights into potential PM sources, thereby increasing the overall value of PurpleAir sensor networks.
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