Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3873-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3873-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jul 2020
Research article |
| 17 Jul 2020
| 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
OSU-EFLUVE – Observatoire Sciences de l'Univers-Enveloppes Fluides de la Ville à l'Exobiologie, Université Paris-Est-Créteil, CNRS UMS 3563, Ecole Nationale des Ponts et Chaussés, Université de Paris,
France
Laboratoire Interuniversitaire des Systèmes Atmosphériques
(LISA), UMR 7583, CNRS, Université Paris-Est-Créteil, Université
de Paris, Institut Pierre Simon Laplace, Créteil, France
currently at: NASA Postdoctoral Program Fellow, Goddard Space Flight Center, Greenbelt, MD 20771, USA
Daniel M. Westervelt
Lamont-Doherty Earth Observatory, Columbia University, New York, NY, USA
Aliaksei Hauryliuk
Center for Atmospheric Particle Studies, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA
Albert A. Presto
Center for Atmospheric Particle Studies, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA
Andrew Grieshop
Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA
Ashley Bittner
Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA
Matthias Beekmann
OSU-EFLUVE – Observatoire Sciences de l'Univers-Enveloppes Fluides de la Ville à l'Exobiologie, Université Paris-Est-Créteil, CNRS UMS 3563, Ecole Nationale des Ponts et Chaussés, Université de Paris,
France
Laboratoire Interuniversitaire des Systèmes Atmosphériques
(LISA), UMR 7583, CNRS, Université Paris-Est-Créteil, Université
de Paris, Institut Pierre Simon Laplace, Créteil, France
R. Subramanian
OSU-EFLUVE – Observatoire Sciences de l'Univers-Enveloppes Fluides de la Ville à l'Exobiologie, Université Paris-Est-Créteil, CNRS UMS 3563, Ecole Nationale des Ponts et Chaussés, Université de Paris,
France
Laboratoire Interuniversitaire des Systèmes Atmosphériques
(LISA), UMR 7583, CNRS, Université Paris-Est-Créteil, Université
de Paris, Institut Pierre Simon Laplace, Créteil, France
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Cited
21 citations as recorded by crossref.
- Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
- Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa G. Gualtieri et al. 10.1016/j.apr.2024.102158
- Low‐cost air quality monitoring networks for long‐term field campaigns: A review F. Carotenuto et al. 10.1002/met.2161
- Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data S. Zhu et al. 10.1139/er-2022-0125
- Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al. 10.1007/s12145-025-01927-5
- Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources B. Duncan et al. 10.1029/2021GH000451
- Selecting Data Analytic and Modeling Methods to Support Air Pollution and Environmental Justice Investigations: A Critical Review and Guidance Framework R. Gardner-Frolick et al. 10.1021/acs.est.1c01739
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Vegetation Configuration Effects on Microclimate and PM2.5 Concentrations: A Case Study of High-Rise Residential Complexes in Northern China L. Yang et al. 10.3390/atmos16060672
- Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal M. Hasan et al. 10.1021/acsomega.2c07734
- An analysis of degradation in low-cost particulate matter sensors P. deSouza et al. 10.1039/D2EA00142J
- Identifying Patterns and Sources of Fine and Ultrafine Particulate Matter in London Using Mobile Measurements of Lung-Deposited Surface Area R. Shah et al. 10.1021/acs.est.2c08096
- Utility of low-cost sensor measurement for predicting ambient PM2.5 concentrations: evidence from a monitoring network in Accra, Ghana P. Attey-Yeboah et al. 10.1039/D4EA00140K
- Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. 10.1029/2021EA001743
- Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning D. Westervelt et al. 10.1021/acsestair.4c00366
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al. 10.5194/amt-15-3353-2022
- Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
- Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al. 10.1021/acs.est.4c09752
- The International Global Atmospheric Chemistry project comments on the revised WHO air quality guidelines C. Paton-Walsh et al. 10.1088/1748-9326/ad039f
- Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa C. Malings et al. 10.5194/amt-13-3873-2020
20 citations as recorded by crossref.
- Key challenges for tropospheric chemistry in the Southern Hemisphere C. Paton-Walsh et al. 10.1525/elementa.2021.00050
- Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa G. Gualtieri et al. 10.1016/j.apr.2024.102158
- Low‐cost air quality monitoring networks for long‐term field campaigns: A review F. Carotenuto et al. 10.1002/met.2161
- Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data S. Zhu et al. 10.1139/er-2022-0125
- Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al. 10.1007/s12145-025-01927-5
- Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources B. Duncan et al. 10.1029/2021GH000451
- Selecting Data Analytic and Modeling Methods to Support Air Pollution and Environmental Justice Investigations: A Critical Review and Guidance Framework R. Gardner-Frolick et al. 10.1021/acs.est.1c01739
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Vegetation Configuration Effects on Microclimate and PM2.5 Concentrations: A Case Study of High-Rise Residential Complexes in Northern China L. Yang et al. 10.3390/atmos16060672
- Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal M. Hasan et al. 10.1021/acsomega.2c07734
- An analysis of degradation in low-cost particulate matter sensors P. deSouza et al. 10.1039/D2EA00142J
- Identifying Patterns and Sources of Fine and Ultrafine Particulate Matter in London Using Mobile Measurements of Lung-Deposited Surface Area R. Shah et al. 10.1021/acs.est.2c08096
- Utility of low-cost sensor measurement for predicting ambient PM2.5 concentrations: evidence from a monitoring network in Accra, Ghana P. Attey-Yeboah et al. 10.1039/D4EA00140K
- Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. 10.1029/2021EA001743
- Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning D. Westervelt et al. 10.1021/acsestair.4c00366
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al. 10.5194/amt-15-3353-2022
- Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
- Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al. 10.1021/acs.est.4c09752
- The International Global Atmospheric Chemistry project comments on the revised WHO air quality guidelines C. Paton-Walsh et al. 10.1088/1748-9326/ad039f
Latest update: 08 Jul 2025
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.
Most air quality information comes from accurate but expensive instruments. These can be...
