Articles | Volume 16, issue 1
https://doi.org/10.5194/amt-16-169-2023
https://doi.org/10.5194/amt-16-169-2023
Research article
 | 
13 Jan 2023
Research article |  | 13 Jan 2023

Identifying optimal co-location calibration periods for low-cost sensors

Misti Levy Zamora, Colby Buehler, Abhirup Datta, Drew R. Gentner, and Kirsten Koehler

Viewed

Total article views: 2,093 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,585 450 58 2,093 131 58 57
  • HTML: 1,585
  • PDF: 450
  • XML: 58
  • Total: 2,093
  • Supplement: 131
  • BibTeX: 58
  • EndNote: 57
Views and downloads (calculated since 28 Apr 2022)
Cumulative views and downloads (calculated since 28 Apr 2022)

Viewed (geographical distribution)

Total article views: 2,093 (including HTML, PDF, and XML) Thereof 2,062 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Dec 2024
Download
Short summary
We assessed five pairs of co-located reference and low-cost sensor data sets (PM2.5, O3, NO2, NO, and CO) to make recommendations for best practices regarding the field calibration of low-cost air quality sensors. We found diminishing improvements for calibration periods longer than about 6 weeks for all sensors and that co-location can be minimized if the period is strategically selected and monitored so that the calibration period is representative of the desired measurement setting.