Articles | Volume 13, issue 10
https://doi.org/10.5194/amt-13-5441-2020
© 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-13-5441-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurements of PM2.5 with PurpleAir under atmospheric conditions
Karin Ardon-Dryer
CORRESPONDING AUTHOR
Department of Geosciences, Atmospheric Science Group, Texas Tech
University, Lubbock, TX, USA
Yuval Dryer
Department of Geosciences, Atmospheric Science Group, Texas Tech
University, Lubbock, TX, USA
Jake N. Williams
Department of Geosciences, Atmospheric Science Group, Texas Tech
University, Lubbock, TX, USA
Nastaran Moghimi
Thomas S. Wootton High School, Rockville, MD, USA
Related authors
Luis A. Ladino, Karin Ardon-Dryer, Diana L. Pereira, Ulrike Proske, Zyanya Ramirez-Diaz, Antonia Velicu, and Zamin A. Kanji
EGUsphere, https://doi.org/10.5194/egusphere-2025-4499, https://doi.org/10.5194/egusphere-2025-4499, 2025
This preprint is open for discussion and under review for Geoscience Communication (GC).
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A survey and literature metadata analysis from the cloud physics community are used to investigate the state of diversity, equity and inclusion in the cloud physics research community. We show the evolution of gender contributions to cloud physics and the inclusion of scientists from the Global South. The publication analysis reveals the rate of men and women dropping out of the field is not different, however, gender balance was better achieved when women led publications compared to men.
John Garber and Karin Ardon-Dryer
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This study aimed to develop a calibration using a multivariate linear regression for the Clarity Node S for PM1, PM2.5, and PM10. Calibrations for PM1 and PM2.5 were successfully implemented using internal temperature, relative humidity, and EDM-180 PM10. Comparison of the calibration of sensors for eight months showed improvements in detecting spikes in high PM concentrations and maintained good correlation with a reference monitor.
Mary C. Robinson, Kaitlin Schueth, and Karin Ardon-Dryer
Atmos. Chem. Phys., 24, 13733–13750, https://doi.org/10.5194/acp-24-13733-2024, https://doi.org/10.5194/acp-24-13733-2024, 2024
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On 26 February 2023, New Mexico and West Texas were impacted by a severe dust storm. To analyze this storm, 28 meteorological stations and 19 PM2.5 and PM10 stations were used. Dust particles were in the air for 16 h, and dust storm conditions lasted for up to 120 min. Hourly PM2.5 and PM10 concentrations were up to 518 and 9983 µg m−3, respectively. For Lubbock, Texas, the maximum PM2.5 concentrations were the highest ever recorded.
Karin Ardon-Dryer and Mary C. Kelley
Atmos. Chem. Phys., 22, 9161–9173, https://doi.org/10.5194/acp-22-9161-2022, https://doi.org/10.5194/acp-22-9161-2022, 2022
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Changes in the particle size distribution and particulate matter concentrations during different dust events in West Texas were examined. Analysis based on different timescales showed that current common methods used to evaluate the impact of dust events on air quality will not capture the true impact of short (convective) dust events and, therefore, do not provide an insightful understanding of their impact on the environment and human health.
Karin Ardon-Dryer, Mary C. Kelley, Xia Xueting, and Yuval Dryer
Atmos. Meas. Tech., 15, 2345–2360, https://doi.org/10.5194/amt-15-2345-2022, https://doi.org/10.5194/amt-15-2345-2022, 2022
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The Aerosol Research Observation Station (AEROS) located in West Texas was designed to continuously measure atmospheric particles, including different particulate matter sizes, total particle number concentration, and size distribution. This article provides a description of AEROS as well as an intercomparison of the different instruments using laboratory and atmospheric particles, showing similar concentration as well to distinguish between various pollution events (natural vs. anthropogenic).
Luis A. Ladino, Karin Ardon-Dryer, Diana L. Pereira, Ulrike Proske, Zyanya Ramirez-Diaz, Antonia Velicu, and Zamin A. Kanji
EGUsphere, https://doi.org/10.5194/egusphere-2025-4499, https://doi.org/10.5194/egusphere-2025-4499, 2025
This preprint is open for discussion and under review for Geoscience Communication (GC).
Short summary
Short summary
A survey and literature metadata analysis from the cloud physics community are used to investigate the state of diversity, equity and inclusion in the cloud physics research community. We show the evolution of gender contributions to cloud physics and the inclusion of scientists from the Global South. The publication analysis reveals the rate of men and women dropping out of the field is not different, however, gender balance was better achieved when women led publications compared to men.
John Garber and Karin Ardon-Dryer
EGUsphere, https://doi.org/10.5194/egusphere-2025-4300, https://doi.org/10.5194/egusphere-2025-4300, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Short summary
This study aimed to develop a calibration using a multivariate linear regression for the Clarity Node S for PM1, PM2.5, and PM10. Calibrations for PM1 and PM2.5 were successfully implemented using internal temperature, relative humidity, and EDM-180 PM10. Comparison of the calibration of sensors for eight months showed improvements in detecting spikes in high PM concentrations and maintained good correlation with a reference monitor.
Mary C. Robinson, Kaitlin Schueth, and Karin Ardon-Dryer
Atmos. Chem. Phys., 24, 13733–13750, https://doi.org/10.5194/acp-24-13733-2024, https://doi.org/10.5194/acp-24-13733-2024, 2024
Short summary
Short summary
On 26 February 2023, New Mexico and West Texas were impacted by a severe dust storm. To analyze this storm, 28 meteorological stations and 19 PM2.5 and PM10 stations were used. Dust particles were in the air for 16 h, and dust storm conditions lasted for up to 120 min. Hourly PM2.5 and PM10 concentrations were up to 518 and 9983 µg m−3, respectively. For Lubbock, Texas, the maximum PM2.5 concentrations were the highest ever recorded.
Karin Ardon-Dryer and Mary C. Kelley
Atmos. Chem. Phys., 22, 9161–9173, https://doi.org/10.5194/acp-22-9161-2022, https://doi.org/10.5194/acp-22-9161-2022, 2022
Short summary
Short summary
Changes in the particle size distribution and particulate matter concentrations during different dust events in West Texas were examined. Analysis based on different timescales showed that current common methods used to evaluate the impact of dust events on air quality will not capture the true impact of short (convective) dust events and, therefore, do not provide an insightful understanding of their impact on the environment and human health.
Karin Ardon-Dryer, Mary C. Kelley, Xia Xueting, and Yuval Dryer
Atmos. Meas. Tech., 15, 2345–2360, https://doi.org/10.5194/amt-15-2345-2022, https://doi.org/10.5194/amt-15-2345-2022, 2022
Short summary
Short summary
The Aerosol Research Observation Station (AEROS) located in West Texas was designed to continuously measure atmospheric particles, including different particulate matter sizes, total particle number concentration, and size distribution. This article provides a description of AEROS as well as an intercomparison of the different instruments using laboratory and atmospheric particles, showing similar concentration as well to distinguish between various pollution events (natural vs. anthropogenic).
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Short summary
The PurpleAir PA-II is a low-cost sensor for monitoring changes in the concentrations of particulate matter of various sizes. This study examined the behaviour of multiple PA-II units in four locations in the USA under atmospheric conditions when exposed to a variety of pollutants and different PM2.5 concentrations. The PA-II unit is a promising tool for measuring PM2.5 concentrations and identifying relative concentration changes, as long as the
PA-II PM2.5 values can be corrected.
The PurpleAir PA-II is a low-cost sensor for monitoring changes in the concentrations of...