Articles | Volume 14, issue 1
Atmos. Meas. Tech., 14, 37–52, 2021
https://doi.org/10.5194/amt-14-37-2021
Atmos. Meas. Tech., 14, 37–52, 2021
https://doi.org/10.5194/amt-14-37-2021

Research article 04 Jan 2021

Research article | 04 Jan 2021

Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O3 and NO2 concentrations in diverse environments

Ravi Sahu et al.

Model code and software

Robust and efficient calibration algorithms for low-cost air quality (LCAQ) sensors A. Nagal and P. Kar https://github.com/purushottamkar/aqi-satvam

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Short summary
A unique feature of our low-cost sensor deployment is a swap-out experiment wherein four of the six sensors were relocated to different sites in the two phases. The swap-out experiment is crucial in investigating the efficacy of calibration models when applied to weather and air quality conditions vastly different from those present during calibration. We developed a novel local calibration algorithm based on metric learning that offers stable and accurate calibration performance.