Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa

Malings, Carl; Westervelt, Daniel M.; Hauryliuk, Aliaksei; Presto, Albert A.; Grieshop, Andrew; Bittner, Ashley; Beekmann, Matthias; R. Subramanian,

doi:https://doi.org/10.5194/amt-13-3873-2020

Articles | Volume 13, issue 7

Atmos. Meas. Tech., 13, 3873–3892, 2020

https://doi.org/10.5194/amt-13-3873-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Meas. Tech., 13, 3873–3892, 2020

https://doi.org/10.5194/amt-13-3873-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 7

Research article 17 Jul 2020

Research article | 17 Jul 2020

Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa

Carl Malings et al.

Supplement

https://doi.org/10.5194/amt-13-3873-2020-supplement

Data sets

Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa" C. Malings, D. Westervelt, A. Hauryliuk, A. A. Presto, A. Grieshop, A. Bittner, M. Beekmann, and R. Subramanian https://doi.org/10.5281/zenodo.3897454

Model code and software

Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa" C. Malings, D. Westervelt, A. Hauryliuk, A. A. Presto, A. Grieshop, A. Bittner, M. Beekmann, and R. Subramanian https://doi.org/10.5281/zenodo.3897454

Short summary

Most air quality information comes from accurate but expensive instruments. These can be supplemented by lower-cost sensors to increase the density of ground data and expand monitoring into less well-instrumented areas, like sub-Saharan Africa. In this paper, we look at how low-cost sensor data can be combined with satellite information on air quality (which requires ground data to properly calibrate measurements) and assess the benefits these low-cost sensors provide in this context.