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AMT | Articles | Volume 13, issue 10
Atmos. Meas. Tech., 13, 5319–5334, 2020
https://doi.org/10.5194/amt-13-5319-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 13, 5319–5334, 2020
https://doi.org/10.5194/amt-13-5319-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Oct 2020

Research article | 09 Oct 2020

Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications

Priyanka deSouza et al.

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Al-Saadi, J., Szykman, J., Pierce, R. B., Kittaka, C., Neil, D., Chu, D. A., Remer, L., Gumley, L., Prins, E., Weinstock, L., MacDonald, C., Wayland, R., Dimmick, F., and Fishman, J.: Improving National Air Quality Forecasts with Satellite Aerosol Observations, B. Am. Meteorol. Soc., 86, 1249–1262, https://doi.org/10.1175/BAMS-86-9-1249, 2005. 
Bond, T. C., Bhardwaj, E., Dong, R., Jogani, R., Jung, S., Roden, C., Streets, D. G., and Trautmann, N. M.: Historical emissions of black and organic carbon aerosol from energy-related combustion, 1850–2000, Global Biogeochem. Cy., 21, 2, https://doi.org/10.1029/2006GB002840, 2007. 
Carotenuto, F., Brilli, L., Gioli, B., Gualtieri, G., Vagnoli, C., Mazzola, M., Viola, A. P., Vitale, V., Severi, M., Traversi, R., and Zaldei, A.: Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment, Sensors, 20, 1919, https://doi.org/10.3390/s20071919, 2020. 
Cavaliere, A., Carotenuto, F., Di Gennaro, F., Gioli, B., Gualtieri, G., Martelli, F., Matese, A., Toscano, P., Vagnoli, C., and Zaldei, A.: Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM2.5 and PM10 Sensors, Sensors, 18, 2843, https://doi.org/10.3390/s18092843, 2018. 
deSouza, P.: Air pollution in Kenya: a review, Air Qual. Atmos. Hlth., 15, 1–9, https://doi.org/10.1007/s11869-020-00902-x, 2020. 
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This paper presents a novel method to constrain the size distribution derived from low-cost optical particle counters (OPCs) using satellite data to develop higher-quality particulate matter (PM) estimates. Such estimates can enable cities that do not have access to expensive reference air quality monitors, especially those in the global south, to develop effective air quality management plans.
This paper presents a novel method to constrain the size distribution derived from low-cost...
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