Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Low-cost sensors for the measurement of atmospheric composition
Collection
Collection
Low-cost sensors for the measurement of atmospheric composition
Low-cost sensors have transformed atmospheric science over the last decade and are now widely embraced by researchers, communities, and citizen scientists alike. Their affordability, portability, and low power demand have opened doors to new types of measurements that were previously impossible or prohibitively expensive. From monitoring air quality and greenhouse gases to collecting meteorological data, low-cost sensors are reshaping how, where, and by whom atmospheric composition can be measured.

This collection showcases the breadth and creativity of low-cost sensor research published in AMT. Contributions on sensor techniques and algorithms; validation, calibration, and uncertainty estimation; case studies and large-scale campaigns in which low-cost sensors are central to discovery; and review papers will be included.

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22 Oct 2025
Evaluating the feasibility of using downwind methods to quantify point source oil and gas emissions using continuously monitoring fence-line sensors
Mercy Mbua, Stuart N. Riddick, Elijah Kiplimo, Kira B. Shonkwiler, Anna Hodshire, and Daniel Zimmerle
Atmos. Meas. Tech., 18, 5687–5703, https://doi.org/10.5194/amt-18-5687-2025,https://doi.org/10.5194/amt-18-5687-2025, 2025
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21 Oct 2025
Towards sensible heat flux measurements with fast-response fine-wire platinum resistance thermometers on small multicopter uncrewed aerial systems
Norman Wildmann and Laszlo Györy
Atmos. Meas. Tech., 18, 5527–5544, https://doi.org/10.5194/amt-18-5527-2025,https://doi.org/10.5194/amt-18-5527-2025, 2025
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29 Sep 2025
A 30-month field evaluation of low-cost CO2 sensors using a reference instrument
Qixiang Cai, Ning Zeng, Xiaoyu Yang, Chi Xu, Zhaojun Wang, and Pengfei Han
Atmos. Meas. Tech., 18, 4871–4884, https://doi.org/10.5194/amt-18-4871-2025,https://doi.org/10.5194/amt-18-4871-2025, 2025
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10 Sep 2025
Improving raw readings from low-cost ozone sensors using artificial intelligence for air quality monitoring
Guillem Montalban-Faet, Eric Meneses-Albala, Santiago Felici-Castell, Juan J. Perez-Solano, and Jaume Segura-Garcia
Atmos. Meas. Tech., 18, 4357–4372, https://doi.org/10.5194/amt-18-4357-2025,https://doi.org/10.5194/amt-18-4357-2025, 2025
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28 Aug 2025
Calibration and performance evaluation of PM2.5 and NO2 air quality sensors for environmental epidemiology
Miriam Chacón-Mateos, Héctor García-Salamero, Bernd Laquai, and Ulrich Vogt
Atmos. Meas. Tech., 18, 4061–4085, https://doi.org/10.5194/amt-18-4061-2025,https://doi.org/10.5194/amt-18-4061-2025, 2025
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07 Aug 2025
Seasonal effects in the application of the MOment MAtching (MOMA) remote calibration tool to outdoor PM2.5 air sensors
Lena Francesca Weissert, Geoff Stephen Henshaw, Andrea Lee Clements, Rachelle Monique Duvall, and Carry Croghan
Atmos. Meas. Tech., 18, 3635–3645, https://doi.org/10.5194/amt-18-3635-2025,https://doi.org/10.5194/amt-18-3635-2025, 2025
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15 Jul 2025
Improving the quantification of peak concentrations for air quality sensors via data weighting
Caroline Frischmon, Jonathan Silberstein, Annamarie Guth, Erick Mattson, Jack Porter, and Michael Hannigan
Atmos. Meas. Tech., 18, 3147–3159, https://doi.org/10.5194/amt-18-3147-2025,https://doi.org/10.5194/amt-18-3147-2025, 2025
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15 Jul 2025
Retrieval of bulk hygroscopicity from PurpleAir PM2.5 sensor measurements
Jillian Psotka, Emily Tracey, and Robert J. Sica
Atmos. Meas. Tech., 18, 3135–3146, https://doi.org/10.5194/amt-18-3135-2025,https://doi.org/10.5194/amt-18-3135-2025, 2025
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16 May 2025
Performance of a low-cost optical particle counter (Alphasense OPC-N3) in estimating size-resolved dust emission flux using eddy covariance
Sylvain Dupont, Eric Lamaud, Mark R. Irvine, Jean-Marc Bonnefond, Adolfo González-Romero, Andrés Alastuey, Cristina González-Flórez, Xavier Querol, Konrad Kandler, Martina Klose, and Carlos Pérez García-Pando
Atmos. Meas. Tech., 18, 2183–2200, https://doi.org/10.5194/amt-18-2183-2025,https://doi.org/10.5194/amt-18-2183-2025, 2025
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24 Apr 2025
Performance validation and calibration conditions for novel dynamic baseline tracking air sensors in long-term field monitoring
Han Mei, Peng Wei, Meisam Ahmadi Ghadikolaei, Nirmal Kumar Gali, Ya Wang, and Zhi Ning
Atmos. Meas. Tech., 18, 1771–1785, https://doi.org/10.5194/amt-18-1771-2025,https://doi.org/10.5194/amt-18-1771-2025, 2025
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13 Feb 2025
Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location
Aishah I. Shittu, Kirsty J. Pringle, Stephen R. Arnold, Richard J. Pope, Ailish M. Graham, Carly Reddington, Richard Rigby, and James B. McQuaid
Atmos. Meas. Tech., 18, 817–828, https://doi.org/10.5194/amt-18-817-2025,https://doi.org/10.5194/amt-18-817-2025, 2025
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26 Nov 2024
Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions
Martine E. Mathieu-Campbell, Chuqi Guo, Andrew P. Grieshop, and Jennifer Richmond-Bryant
Atmos. Meas. Tech., 17, 6735–6749, https://doi.org/10.5194/amt-17-6735-2024,https://doi.org/10.5194/amt-17-6735-2024, 2024
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08 Nov 2024
An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations
Kristen Okorn and Laura T. Iraci
Atmos. Meas. Tech., 17, 6425–6457, https://doi.org/10.5194/amt-17-6425-2024,https://doi.org/10.5194/amt-17-6425-2024, 2024
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02 Oct 2024
Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris
Jinghui Lian, Olivier Laurent, Mali Chariot, Luc Lienhardt, Michel Ramonet, Hervé Utard, Thomas Lauvaux, François-Marie Bréon, Grégoire Broquet, Karina Cucchi, Laurent Millair, and Philippe Ciais
Atmos. Meas. Tech., 17, 5821–5839, https://doi.org/10.5194/amt-17-5821-2024,https://doi.org/10.5194/amt-17-5821-2024, 2024
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05 Sep 2024
Spatial analysis of PM2.5 using a concentration similarity index applied to air quality sensor networks
Rósín Byrne, John C. Wenger, and Stig Hellebust
Atmos. Meas. Tech., 17, 5129–5146, https://doi.org/10.5194/amt-17-5129-2024,https://doi.org/10.5194/amt-17-5129-2024, 2024
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26 Jul 2024
A measurement system for CO2 and CH4 emissions quantification of industrial sites using a new in situ concentration sensor operated on board uncrewed aircraft vehicles
Jean-Louis Bonne, Ludovic Donnat, Grégory Albora, Jérémie Burgalat, Nicolas Chauvin, Delphine Combaz, Julien Cousin, Thomas Decarpenterie, Olivier Duclaux, Nicolas Dumelié, Nicolas Galas, Catherine Juery, Florian Parent, Florent Pineau, Abel Maunoury, Olivier Ventre, Marie-France Bénassy, and Lilian Joly
Atmos. Meas. Tech., 17, 4471–4491, https://doi.org/10.5194/amt-17-4471-2024,https://doi.org/10.5194/amt-17-4471-2024, 2024
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17 Jul 2024
Using metal oxide gas sensors to estimate the emission rates and locations of methane leaks in an industrial site: assessment with controlled methane releases
Rodrigo Rivera-Martinez, Pramod Kumar, Olivier Laurent, Gregoire Broquet, Christopher Caldow, Ford Cropley, Diego Santaren, Adil Shah, Cécile Mallet, Michel Ramonet, Leonard Rivier, Catherine Juery, Olivier Duclaux, Caroline Bouchet, Elisa Allegrini, Hervé Utard, and Philippe Ciais
Atmos. Meas. Tech., 17, 4257–4290, https://doi.org/10.5194/amt-17-4257-2024,https://doi.org/10.5194/amt-17-4257-2024, 2024
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03 Jul 2024
Transferability of machine-learning-based global calibration models for NO2 and NO low-cost sensors
Ayah Abu-Hani, Jia Chen, Vigneshkumar Balamurugan, Adrian Wenzel, and Alessandro Bigi
Atmos. Meas. Tech., 17, 3917–3931, https://doi.org/10.5194/amt-17-3917-2024,https://doi.org/10.5194/amt-17-3917-2024, 2024
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26 Jun 2024
Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study
Sebastian Diez, Stuart Lacy, Hugh Coe, Josefina Urquiza, Max Priestman, Michael Flynn, Nicholas Marsden, Nicholas A. Martin, Stefan Gillott, Thomas Bannan, and Pete M. Edwards
Atmos. Meas. Tech., 17, 3809–3827, https://doi.org/10.5194/amt-17-3809-2024,https://doi.org/10.5194/amt-17-3809-2024, 2024
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31 May 2024
Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2
Kabseok Ko, Seokheon Cho, and Ramesh R. Rao
Atmos. Meas. Tech., 17, 3303–3322, https://doi.org/10.5194/amt-17-3303-2024,https://doi.org/10.5194/amt-17-3303-2024, 2024
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29 May 2024
Performance evaluation of MeteoTracker mobile sensor for outdoor applications
Francesco Barbano, Erika Brattich, Carlo Cintolesi, Abdul Ghafoor Nizamani, Silvana Di Sabatino, Massimo Milelli, Esther E. M. Peerlings, Sjoerd Polder, Gert-Jan Steeneveld, and Antonio Parodi
Atmos. Meas. Tech., 17, 3255–3278, https://doi.org/10.5194/amt-17-3255-2024,https://doi.org/10.5194/amt-17-3255-2024, 2024
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16 Apr 2024
Design and evaluation of a low-cost sensor node for near-background methane measurement
Daniel Furuta, Bruce Wilson, Albert A. Presto, and Jiayu Li
Atmos. Meas. Tech., 17, 2103–2121, https://doi.org/10.5194/amt-17-2103-2024,https://doi.org/10.5194/amt-17-2103-2024, 2024
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23 Feb 2024
Validation and field application of a low-cost device to measure CO2 and evapotranspiration (ET) fluxes
Reena Macagga, Michael Asante, Geoffroy Sossa, Danica Antonijević, Maren Dubbert, and Mathias Hoffmann
Atmos. Meas. Tech., 17, 1317–1332, https://doi.org/10.5194/amt-17-1317-2024,https://doi.org/10.5194/amt-17-1317-2024, 2024
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13 Feb 2024
Towards a hygroscopic growth calibration for low-cost PM2.5 sensors
Milan Y. Patel, Pietro F. Vannucci, Jinsol Kim, William M. Berelson, and Ronald C. Cohen
Atmos. Meas. Tech., 17, 1051–1060, https://doi.org/10.5194/amt-17-1051-2024,https://doi.org/10.5194/amt-17-1051-2024, 2024
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13 Nov 2023
Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data
Vijay Kumar, Dinushani Senarathna, Supraja Gurajala, William Olsen, Shantanu Sur, Sumona Mondal, and Suresh Dhaniyala
Atmos. Meas. Tech., 16, 5415–5427, https://doi.org/10.5194/amt-16-5415-2023,https://doi.org/10.5194/amt-16-5415-2023, 2023
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20 Oct 2023
Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO2 and O3 sensors
Alice Cavaliere, Lorenzo Brilli, Bianca Patrizia Andreini, Federico Carotenuto, Beniamino Gioli, Tommaso Giordano, Marco Stefanelli, Carolina Vagnoli, Alessandro Zaldei, and Giovanni Gualtieri
Atmos. Meas. Tech., 16, 4723–4740, https://doi.org/10.5194/amt-16-4723-2023,https://doi.org/10.5194/amt-16-4723-2023, 2023
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18 Oct 2023
Performance evaluation of MOMA (MOment MAtching) – a remote network calibration technique for PM2.5 and PM10 sensors
Lena Francesca Weissert, Geoff Steven Henshaw, David Edward Williams, Brandon Feenstra, Randy Lam, Ashley Collier-Oxandale, Vasileios Papapostolou, and Andrea Polidori
Atmos. Meas. Tech., 16, 4709–4722, https://doi.org/10.5194/amt-16-4709-2023,https://doi.org/10.5194/amt-16-4709-2023, 2023
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05 Oct 2023
Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India
Mark Joseph Campmier, Jonathan Gingrich, Saumya Singh, Nisar Baig, Shahzad Gani, Adithi Upadhya, Pratyush Agrawal, Meenakshi Kushwaha, Harsh Raj Mishra, Ajay Pillarisetti, Sreekanth Vakacherla, Ravi Kant Pathak, and Joshua S. Apte
Atmos. Meas. Tech., 16, 4357–4374, https://doi.org/10.5194/amt-16-4357-2023,https://doi.org/10.5194/amt-16-4357-2023, 2023
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05 Jul 2023
Characterising the methane gas and environmental response of the Figaro Taguchi Gas Sensor (TGS) 2611-E00
Adil Shah, Olivier Laurent, Luc Lienhardt, Grégoire Broquet, Rodrigo Rivera Martinez, Elisa Allegrini, and Philippe Ciais
Atmos. Meas. Tech., 16, 3391–3419, https://doi.org/10.5194/amt-16-3391-2023,https://doi.org/10.5194/amt-16-3391-2023, 2023
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30 Jun 2023
Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions
Roubina Papaconstantinou, Marios Demosthenous, Spyros Bezantakos, Neoclis Hadjigeorgiou, Marinos Costi, Melina Stylianou, Elli Symeou, Chrysanthos Savvides, and George Biskos
Atmos. Meas. Tech., 16, 3313–3329, https://doi.org/10.5194/amt-16-3313-2023,https://doi.org/10.5194/amt-16-3313-2023, 2023
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25 Apr 2023
Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors
Rodrigo Andres Rivera Martinez, Diego Santaren, Olivier Laurent, Gregoire Broquet, Ford Cropley, Cécile Mallet, Michel Ramonet, Adil Shah, Leonard Rivier, Caroline Bouchet, Catherine Juery, Olivier Duclaux, and Philippe Ciais
Atmos. Meas. Tech., 16, 2209–2235, https://doi.org/10.5194/amt-16-2209-2023,https://doi.org/10.5194/amt-16-2209-2023, 2023
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13 Mar 2023
An evaluation of the U.S. EPA's correction equation for PurpleAir sensor data in smoke, dust, and wintertime urban pollution events
Daniel A. Jaffe, Colleen Miller​​​​​​​, Katie Thompson, Brandon Finley, Manna Nelson, James Ouimette, and Elisabeth Andrews
Atmos. Meas. Tech., 16, 1311–1322, https://doi.org/10.5194/amt-16-1311-2023,https://doi.org/10.5194/amt-16-1311-2023, 2023
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24 Jan 2023
Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements
Tobias Schuldt, Georgios I. Gkatzelis, Christian Wesolek, Franz Rohrer, Benjamin Winter, Thomas A. J. Kuhlbusch, Astrid Kiendler-Scharr, and Ralf Tillmann
Atmos. Meas. Tech., 16, 373–386, https://doi.org/10.5194/amt-16-373-2023,https://doi.org/10.5194/amt-16-373-2023, 2023
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13 Jan 2023
Identifying optimal co-location calibration periods for low-cost sensors
Misti Levy Zamora, Colby Buehler, Abhirup Datta, Drew R. Gentner, and Kirsten Koehler
Atmos. Meas. Tech., 16, 169–179, https://doi.org/10.5194/amt-16-169-2023,https://doi.org/10.5194/amt-16-169-2023, 2023
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22 Dec 2022
Evaluation of a low-cost dryer for a low-cost optical particle counter
Miriam Chacón-Mateos, Bernd Laquai, Ulrich Vogt, and Cosima Stubenrauch
Atmos. Meas. Tech., 15, 7395–7410, https://doi.org/10.5194/amt-15-7395-2022,https://doi.org/10.5194/amt-15-7395-2022, 2022
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02 Nov 2022
Calibrating networks of low-cost air quality sensors
Priyanka deSouza, Ralph Kahn, Tehya Stockman, William Obermann, Ben Crawford, An Wang, James Crooks, Jing Li, and Patrick Kinney
Atmos. Meas. Tech., 15, 6309–6328, https://doi.org/10.5194/amt-15-6309-2022,https://doi.org/10.5194/amt-15-6309-2022, 2022
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08 Sep 2022
Characterization of inexpensive metal oxide sensor performance for trace methane detection
Daniel Furuta, Tofigh Sayahi, Jinsheng Li, Bruce Wilson, Albert A. Presto, and Jiayu Li
Atmos. Meas. Tech., 15, 5117–5128, https://doi.org/10.5194/amt-15-5117-2022,https://doi.org/10.5194/amt-15-5117-2022, 2022
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02 Aug 2022
Improvements of a low-cost CO2 commercial nondispersive near-infrared (NDIR) sensor for unmanned aerial vehicle (UAV) atmospheric mapping applications
Yunsong Liu, Jean-Daniel Paris, Mihalis Vrekoussis, Panayiota Antoniou, Christos Constantinides, Maximilien Desservettaz, Christos Keleshis, Olivier Laurent, Andreas Leonidou, Carole Philippon, Panagiotis Vouterakos, Pierre-Yves Quéhé, Philippe Bousquet, and Jean Sciare
Atmos. Meas. Tech., 15, 4431–4442, https://doi.org/10.5194/amt-15-4431-2022,https://doi.org/10.5194/amt-15-4431-2022, 2022
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08 Jul 2022
A study on the performance of low-cost sensors for source apportionment at an urban background site
Dimitrios Bousiotis, David C. S. Beddows, Ajit Singh, Molly Haugen, Sebastián Diez, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 15, 4047–4061, https://doi.org/10.5194/amt-15-4047-2022,https://doi.org/10.5194/amt-15-4047-2022, 2022
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09 Jun 2022
Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi
Ashley S. Bittner, Eben S. Cross, David H. Hagan, Carl Malings, Eric Lipsky, and Andrew P. Grieshop
Atmos. Meas. Tech., 15, 3353–3376, https://doi.org/10.5194/amt-15-3353-2022,https://doi.org/10.5194/amt-15-3353-2022, 2022
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03 Jun 2022
Development and evaluation of correction models for a low-cost fine particulate matter monitor
Brayden Nilson, Peter L. Jackson, Corinne L. Schiller, and Matthew T. Parsons
Atmos. Meas. Tech., 15, 3315–3328, https://doi.org/10.5194/amt-15-3315-2022,https://doi.org/10.5194/amt-15-3315-2022, 2022
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01 Jun 2022
Machine learning techniques to improve the field performance of low-cost air quality sensors
Tony Bush, Nick Papaioannou, Felix Leach, Francis D. Pope, Ajit Singh, G. Neil Thomas, Brian Stacey, and Suzanne Bartington
Atmos. Meas. Tech., 15, 3261–3278, https://doi.org/10.5194/amt-15-3261-2022,https://doi.org/10.5194/amt-15-3261-2022, 2022
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13 May 2022
Long-term behavior and stability of calibration models for NO and NO2 low-cost sensors
Horim Kim, Michael Müller, Stephan Henne, and Christoph Hüglin
Atmos. Meas. Tech., 15, 2979–2992, https://doi.org/10.5194/amt-15-2979-2022,https://doi.org/10.5194/amt-15-2979-2022, 2022
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09 May 2022
Metrology for low-cost CO2 sensors applications: the case of a steady-state through-flow (SS-TF) chamber for CO2 fluxes observations
Roger Curcoll, Josep-Anton Morguí, Armand Kamnang, Lídia Cañas, Arturo Vargas, and Claudia Grossi
Atmos. Meas. Tech., 15, 2807–2818, https://doi.org/10.5194/amt-15-2807-2022,https://doi.org/10.5194/amt-15-2807-2022, 2022
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09 Feb 2022
Evaluating the PurpleAir monitor as an aerosol light scattering instrument
James R. Ouimette, William C. Malm, Bret A. Schichtel, Patrick J. Sheridan, Elisabeth Andrews, John A. Ogren, and W. Patrick Arnott
Atmos. Meas. Tech., 15, 655–676, https://doi.org/10.5194/amt-15-655-2022,https://doi.org/10.5194/amt-15-655-2022, 2022
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21 Jan 2022
Evaluating uncertainty in sensor networks for urban air pollution insights
Daniel R. Peters, Olalekan A. M. Popoola, Roderic L. Jones, Nicholas A. Martin, Jim Mills, Elizabeth R. Fonseca, Amy Stidworthy, Ella Forsyth, David Carruthers, Megan Dupuy-Todd, Felicia Douglas, Katie Moore, Rishabh U. Shah, Lauren E. Padilla, and Ramón A. Alvarez
Atmos. Meas. Tech., 15, 321–334, https://doi.org/10.5194/amt-15-321-2022,https://doi.org/10.5194/amt-15-321-2022, 2022
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25 Nov 2021
Evaluation methods for low-cost particulate matter sensors
Jeffrey K. Bean
Atmos. Meas. Tech., 14, 7369–7379, https://doi.org/10.5194/amt-14-7369-2021,https://doi.org/10.5194/amt-14-7369-2021, 2021
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17 Nov 2021
Unravelling a black box: an open-source methodology for the field calibration of small air quality sensors
Seán Schmitz, Sherry Towers, Guillermo Villena, Alexandre Caseiro, Robert Wegener, Dieter Klemp, Ines Langer, Fred Meier, and Erika von Schneidemesser
Atmos. Meas. Tech., 14, 7221–7241, https://doi.org/10.5194/amt-14-7221-2021,https://doi.org/10.5194/amt-14-7221-2021, 2021
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10 Sep 2021
Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments
Federico Dallo, Daniele Zannoni, Jacopo Gabrieli, Paolo Cristofanelli, Francescopiero Calzolari, Fabrizio de Blasi, Andrea Spolaor, Dario Battistel, Rachele Lodi, Warren Raymond Lee Cairns, Ann Mari Fjæraa, Paolo Bonasoni, and Carlo Barbante
Atmos. Meas. Tech., 14, 6005–6021, https://doi.org/10.5194/amt-14-6005-2021,https://doi.org/10.5194/amt-14-6005-2021, 2021
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18 Aug 2021
Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability
Peer Nowack, Lev Konstantinovskiy, Hannah Gardiner, and John Cant
Atmos. Meas. Tech., 14, 5637–5655, https://doi.org/10.5194/amt-14-5637-2021,https://doi.org/10.5194/amt-14-5637-2021, 2021
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12 Aug 2021
The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy
Erin R. Delaria, Jinsol Kim, Helen L. Fitzmaurice, Catherine Newman, Paul J. Wooldridge, Kevin Worthington, and Ronald C. Cohen
Atmos. Meas. Tech., 14, 5487–5500, https://doi.org/10.5194/amt-14-5487-2021,https://doi.org/10.5194/amt-14-5487-2021, 2021
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22 Jun 2021
Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor
Karoline K. Barkjohn, Brett Gantt, and Andrea L. Clements
Atmos. Meas. Tech., 14, 4617–4637, https://doi.org/10.5194/amt-14-4617-2021,https://doi.org/10.5194/amt-14-4617-2021, 2021
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07 Jun 2021
Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – a comparative study
Dimitrios Bousiotis, Ajit Singh, Molly Haugen, David C. S. Beddows, Sebastián Diez, Killian L. Murphy, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 14, 4139–4155, https://doi.org/10.5194/amt-14-4139-2021,https://doi.org/10.5194/amt-14-4139-2021, 2021
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09 Feb 2021
Use of an unmanned aircraft system to quantify NOx emissions from a natural gas boiler
Brian Gullett, Johanna Aurell, William Mitchell, and Jennifer Richardson
Atmos. Meas. Tech., 14, 975–981, https://doi.org/10.5194/amt-14-975-2021,https://doi.org/10.5194/amt-14-975-2021, 2021
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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, Ayush Nagal, Kuldeep Kumar Dixit, Harshavardhan Unnibhavi, Srikanth Mantravadi, Srijith Nair, Yogesh Simmhan, Brijesh Mishra, Rajesh Zele, Ronak Sutaria, Vidyanand Motiram Motghare, Purushottam Kar, and Sachchida Nand Tripathi
Atmos. Meas. Tech., 14, 37–52, https://doi.org/10.5194/amt-14-37-2021,https://doi.org/10.5194/amt-14-37-2021, 2021
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30 Nov 2020
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
Adnan Masic, Dzevad Bibic, Boran Pikula, Almir Blazevic, Jasna Huremovic, and Sabina Zero
Atmos. Meas. Tech., 13, 6427–6443, https://doi.org/10.5194/amt-13-6427-2020,https://doi.org/10.5194/amt-13-6427-2020, 2020
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26 Nov 2020
Assessing the accuracy of low-cost optical particle sensors using a physics-based approach
David H. Hagan and Jesse H. Kroll
Atmos. Meas. Tech., 13, 6343–6355, https://doi.org/10.5194/amt-13-6343-2020,https://doi.org/10.5194/amt-13-6343-2020, 2020
Short summary
13 Oct 2020
Measurements of PM2.5 with PurpleAir under atmospheric conditions
Karin Ardon-Dryer, Yuval Dryer, Jake N. Williams, and Nastaran Moghimi
Atmos. Meas. Tech., 13, 5441–5458, https://doi.org/10.5194/amt-13-5441-2020,https://doi.org/10.5194/amt-13-5441-2020, 2020
Short summary
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, Daniel M. Westervelt, Aliaksei Hauryliuk, Albert A. Presto, Andrew Grieshop, Ashley Bittner, Matthias Beekmann, and R. Subramanian
Atmos. Meas. Tech., 13, 3873–3892, https://doi.org/10.5194/amt-13-3873-2020,https://doi.org/10.5194/amt-13-3873-2020, 2020
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15 Jul 2020
Integration and calibration of non-dispersive infrared (NDIR) CO2 low-cost sensors and their operation in a sensor network covering Switzerland
Michael Müller, Peter Graf, Jonas Meyer, Anastasia Pentina, Dominik Brunner, Fernando Perez-Cruz, Christoph Hüglin, and Lukas Emmenegger
Atmos. Meas. Tech., 13, 3815–3834, https://doi.org/10.5194/amt-13-3815-2020,https://doi.org/10.5194/amt-13-3815-2020, 2020
22 Jun 2020
Continuous methane concentration measurements at the Greenland ice sheet–atmosphere interface using a low-cost, low-power metal oxide sensor system
Christian Juncher Jørgensen, Jacob Mønster, Karsten Fuglsang, and Jesper Riis Christiansen
Atmos. Meas. Tech., 13, 3319–3328, https://doi.org/10.5194/amt-13-3319-2020,https://doi.org/10.5194/amt-13-3319-2020, 2020
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27 May 2020
Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska
Werner Eugster, James Laundre, Jon Eugster, and George W. Kling
Atmos. Meas. Tech., 13, 2681–2695, https://doi.org/10.5194/amt-13-2681-2020,https://doi.org/10.5194/amt-13-2681-2020, 2020
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15 May 2020
Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors
Joel Kuula, Timo Mäkelä, Minna Aurela, Kimmo Teinilä, Samu Varjonen, Óscar González, and Hilkka Timonen
Atmos. Meas. Tech., 13, 2413–2423, https://doi.org/10.5194/amt-13-2413-2020,https://doi.org/10.5194/amt-13-2413-2020, 2020
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07 Apr 2020
Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods
Minxing Si, Ying Xiong, Shan Du, and Ke Du
Atmos. Meas. Tech., 13, 1693–1707, https://doi.org/10.5194/amt-13-1693-2020,https://doi.org/10.5194/amt-13-1693-2020, 2020
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09 Dec 2019
On-flight intercomparison of three miniature aerosol absorption sensors using unmanned aerial systems (UASs)
Michael Pikridas, Spiros Bezantakos, Griša Močnik, Christos Keleshis, Fred Brechtel, Iasonas Stavroulas, Gregoris Demetriades, Panayiota Antoniou, Panagiotis Vouterakos, Marios Argyrides, Eleni Liakakou, Luka Drinovec, Eleni Marinou, Vassilis Amiridis, Mihalis Vrekoussis, Nikolaos Mihalopoulos, and Jean Sciare
Atmos. Meas. Tech., 12, 6425–6447, https://doi.org/10.5194/amt-12-6425-2019,https://doi.org/10.5194/amt-12-6425-2019, 2019
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22 Nov 2019
A new laser-based and ultra-portable gas sensor for indoor and outdoor formaldehyde (HCHO) monitoring
Joshua D. Shutter, Norton T. Allen, Thomas F. Hanisco, Glenn M. Wolfe, Jason M. St. Clair, and Frank N. Keutsch
Atmos. Meas. Tech., 12, 6079–6089, https://doi.org/10.5194/amt-12-6079-2019,https://doi.org/10.5194/amt-12-6079-2019, 2019
Short summary
26 Sep 2019
Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi
Tongshu Zheng, Michael H. Bergin, Ronak Sutaria, Sachchida N. Tripathi, Robert Caldow, and David E. Carlson
Atmos. Meas. Tech., 12, 5161–5181, https://doi.org/10.5194/amt-12-5161-2019,https://doi.org/10.5194/amt-12-5161-2019, 2019
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06 Aug 2019
Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring
Sharad Vikram, Ashley Collier-Oxandale, Michael H. Ostertag, Massimiliano Menarini, Camron Chermak, Sanjoy Dasgupta, Tajana Rosing, Michael Hannigan, and William G. Griswold
Atmos. Meas. Tech., 12, 4211–4239, https://doi.org/10.5194/amt-12-4211-2019,https://doi.org/10.5194/amt-12-4211-2019, 2019
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05 Mar 2019
Understanding the ability of low-cost MOx sensors to quantify ambient VOCs
Ashley M. Collier-Oxandale, Jacob Thorson, Hannah Halliday, Jana Milford, and Michael Hannigan
Atmos. Meas. Tech., 12, 1441–1460, https://doi.org/10.5194/amt-12-1441-2019,https://doi.org/10.5194/amt-12-1441-2019, 2019
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11 Feb 2019
Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring
Carl Malings, Rebecca Tanzer, Aliaksei Hauryliuk, Sriniwasa P. N. Kumar, Naomi Zimmerman, Levent B. Kara, Albert A. Presto, and R. Subramanian
Atmos. Meas. Tech., 12, 903–920, https://doi.org/10.5194/amt-12-903-2019,https://doi.org/10.5194/amt-12-903-2019, 2019
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28 Nov 2018
Testing the performance of field calibration techniques for low-cost gas sensors in new deployment locations: across a county line and across Colorado
Joanna Gordon Casey and Michael P. Hannigan
Atmos. Meas. Tech., 11, 6351–6378, https://doi.org/10.5194/amt-11-6351-2018,https://doi.org/10.5194/amt-11-6351-2018, 2018
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27 Aug 2018
The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog
Rohan Jayaratne, Xiaoting Liu, Phong Thai, Matthew Dunbabin, and Lidia Morawska
Atmos. Meas. Tech., 11, 4883–4890, https://doi.org/10.5194/amt-11-4883-2018,https://doi.org/10.5194/amt-11-4883-2018, 2018
Short summary
22 Aug 2018
Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments
Tongshu Zheng, Michael H. Bergin, Karoline K. Johnson, Sachchida N. Tripathi, Shilpa Shirodkar, Matthew S. Landis, Ronak Sutaria, and David E. Carlson
Atmos. Meas. Tech., 11, 4823–4846, https://doi.org/10.5194/amt-11-4823-2018,https://doi.org/10.5194/amt-11-4823-2018, 2018
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08 Aug 2018
Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado
Stephen Feinberg, Ron Williams, Gayle S. W. Hagler, Joshua Rickard, Ryan Brown, Daniel Garver, Greg Harshfield, Phillip Stauffer, Erick Mattson, Robert Judge, and Sam Garvey
Atmos. Meas. Tech., 11, 4605–4615, https://doi.org/10.5194/amt-11-4605-2018,https://doi.org/10.5194/amt-11-4605-2018, 2018
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26 Jun 2018
Performance of NO, NO2 low cost sensors and three calibration approaches within a real world application
Alessandro Bigi, Michael Mueller, Stuart K. Grange, Grazia Ghermandi, and Christoph Hueglin
Atmos. Meas. Tech., 11, 3717–3735, https://doi.org/10.5194/amt-11-3717-2018,https://doi.org/10.5194/amt-11-3717-2018, 2018
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20 Jun 2018
Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments
Ashley Collier-Oxandale, Joanna Gordon Casey, Ricardo Piedrahita, John Ortega, Hannah Halliday, Jill Johnston, and Michael P. Hannigan
Atmos. Meas. Tech., 11, 3569–3594, https://doi.org/10.5194/amt-11-3569-2018,https://doi.org/10.5194/amt-11-3569-2018, 2018
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06 Apr 2018
The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors
Jinsol Kim, Alexis A. Shusterman, Kaitlyn J. Lieschke, Catherine Newman, and Ronald C. Cohen
Atmos. Meas. Tech., 11, 1937–1946, https://doi.org/10.5194/amt-11-1937-2018,https://doi.org/10.5194/amt-11-1937-2018, 2018
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28 Mar 2018
Intra-urban spatial variability of surface ozone in Riverside, CA: viability and validation of low-cost sensors
Kira Sadighi, Evan Coffey, Andrea Polidori, Brandon Feenstra, Qin Lv, Daven K. Henze, and Michael Hannigan
Atmos. Meas. Tech., 11, 1777–1792, https://doi.org/10.5194/amt-11-1777-2018,https://doi.org/10.5194/amt-11-1777-2018, 2018
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05 Mar 2018
Field calibration of electrochemical NO2 sensors in a citizen science context
Bas Mijling, Qijun Jiang, Dave de Jonge, and Stefano Bocconi
Atmos. Meas. Tech., 11, 1297–1312, https://doi.org/10.5194/amt-11-1297-2018,https://doi.org/10.5194/amt-11-1297-2018, 2018
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15 Jan 2018
Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments
David H. Hagan, Gabriel Isaacman-VanWertz, Jonathan P. Franklin, Lisa M. M. Wallace, Benjamin D. Kocar, Colette L. Heald, and Jesse H. Kroll
Atmos. Meas. Tech., 11, 315–328, https://doi.org/10.5194/amt-11-315-2018,https://doi.org/10.5194/amt-11-315-2018, 2018
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15 Jan 2018
A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring
Naomi Zimmerman, Albert A. Presto, Sriniwasa P. N. Kumar, Jason Gu, Aliaksei Hauryliuk, Ellis S. Robinson, Allen L. Robinson, and R. Subramanian
Atmos. Meas. Tech., 11, 291–313, https://doi.org/10.5194/amt-11-291-2018,https://doi.org/10.5194/amt-11-291-2018, 2018
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17 Oct 2017
Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich
Michael Mueller, Jonas Meyer, and Christoph Hueglin
Atmos. Meas. Tech., 10, 3783–3799, https://doi.org/10.5194/amt-10-3783-2017,https://doi.org/10.5194/amt-10-3783-2017, 2017
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29 Sep 2017
Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements
Eben S. Cross, Leah R. Williams, David K. Lewis, Gregory R. Magoon, Timothy B. Onasch, Michael L. Kaminsky, Douglas R. Worsnop, and John T. Jayne
Atmos. Meas. Tech., 10, 3575–3588, https://doi.org/10.5194/amt-10-3575-2017,https://doi.org/10.5194/amt-10-3575-2017, 2017
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03 Jul 2017
Evaluation and environmental correction of ambient CO2 measurements from a low-cost NDIR sensor
Cory R. Martin, Ning Zeng, Anna Karion, Russell R. Dickerson, Xinrong Ren, Bari N. Turpie, and Kristy J. Weber
Atmos. Meas. Tech., 10, 2383–2395, https://doi.org/10.5194/amt-10-2383-2017,https://doi.org/10.5194/amt-10-2383-2017, 2017
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01 Mar 2017
A mobile sensor network to map carbon dioxide emissions in urban environments
Joseph K. Lee, Andreas Christen, Rick Ketler, and Zoran Nesic
Atmos. Meas. Tech., 10, 645–665, https://doi.org/10.5194/amt-10-645-2017,https://doi.org/10.5194/amt-10-645-2017, 2017
Short summary
01 Nov 2016
Community Air Sensor Network (CAIRSENSE) project: evaluation of low-cost sensor performance in a suburban environment in the southeastern United States
Wan Jiao, Gayle Hagler, Ronald Williams, Robert Sharpe, Ryan Brown, Daniel Garver, Robert Judge, Motria Caudill, Joshua Rickard, Michael Davis, Lewis Weinstock, Susan Zimmer-Dauphinee, and Ken Buckley
Atmos. Meas. Tech., 9, 5281–5292, https://doi.org/10.5194/amt-9-5281-2016,https://doi.org/10.5194/amt-9-5281-2016, 2016
Short summary
04 Feb 2016
Mobile sensor network noise reduction and recalibration using a Bayesian network
Y. Xiang, Y. Tang, and W. Zhu
Atmos. Meas. Tech., 9, 347–357, https://doi.org/10.5194/amt-9-347-2016,https://doi.org/10.5194/amt-9-347-2016, 2016
Short summary
07 Oct 2014
The next generation of low-cost personal air quality sensors for quantitative exposure monitoring
R. Piedrahita, Y. Xiang, N. Masson, J. Ortega, A. Collier, Y. Jiang, K. Li, R. P. Dick, Q. Lv, M. Hannigan, and L. Shang
Atmos. Meas. Tech., 7, 3325–3336, https://doi.org/10.5194/amt-7-3325-2014,https://doi.org/10.5194/amt-7-3325-2014, 2014
30 Apr 2014
Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California
D. M. Holstius, A. Pillarisetti, K. R. Smith, and E. Seto
Atmos. Meas. Tech., 7, 1121–1131, https://doi.org/10.5194/amt-7-1121-2014,https://doi.org/10.5194/amt-7-1121-2014, 2014
13 Aug 2012
Performance of a low-cost methane sensor for ambient concentration measurements in preliminary studies
W. Eugster and G. W. Kling
Atmos. Meas. Tech., 5, 1925–1934, https://doi.org/10.5194/amt-5-1925-2012,https://doi.org/10.5194/amt-5-1925-2012, 2012
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