Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3469-2021
© Author(s) 2021. 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-14-3469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2021
Research article |
| 12 May 2021
| 12 May 2021
Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
José I. Velazco
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Trevor W. Coates
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
Frances A. Phillips
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia
Thomas K. Flesch
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, T6G 2E3, AB, Canada
Julian Hill
Ternes Agricultural Consulting Pty Ltd, Upwey, VIC 3158, Australia
David G. Mayer
Agri-Science Queensland, Dutton Park, QLD 4102, Australia
Nigel W. Tomkins
CSIRO Agriculture, Australian Tropical Science and Innovation
Precinct, James Cook University, Townsville, QLD 4811, Australia
Roger S. Hegarty
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Deli Chen
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
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Revised manuscript accepted for AMT
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Noah Bernays, Daniel A. Jaffe, Irina Petropavlovskikh, and Peter Effertz
Atmos. Meas. Tech., 15, 3189–3192, https://doi.org/10.5194/amt-15-3189-2022, https://doi.org/10.5194/amt-15-3189-2022, 2022
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Ozone is an important pollutant that impacts millions of people worldwide. It is therefore important to ensure accurate measurements. A recent surge in wildfire activity in the USA has resulted in significant enhancements in ozone concentration. However given the nature of wildfire smoke, there are questions about our ability to accurately measure ozone. In this comment, we discuss possible biases in the UV measurements of ozone in the presence of smoke.
Gérard Ancellet, Sophie Godin-Beekmann, Herman G. J. Smit, Ryan M. Stauffer, Roeland Van Malderen, Renaud Bodichon, and Andrea Pazmiño
Atmos. Meas. Tech., 15, 3105–3120, https://doi.org/10.5194/amt-15-3105-2022, https://doi.org/10.5194/amt-15-3105-2022, 2022
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The 1991–2021 Observatoire de Haute Provence electrochemical concentration cell (ECC) ozonesonde data have been homogenized according to the recommendations of the Ozonesonde Data Quality Assessment panel. Comparisons with ground-based instruments also measuring ozone at the same station (lidar, surface measurements) and with colocated satellite observations show the benefits of this homogenization. Remaining differences between ECC and other observations in the stratosphere are also discussed.
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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In this study, the performance of electrochemical sensors for NO and NO2 for measuring air quality was determined over a longer operating period. The performance of NO sensors remained reliable for more than 18 months. However, the NO2 sensors showed decreasing performance over time. During deployment, we found that the NO2 sensors can distinguish general pollution levels, but they proved unsuitable for accurate measurements due to significant biases.
Randulph Morales, Jonas Ravelid, Katarina Vinkovic, Piotr Korbeń, Béla Tuzson, Lukas Emmenegger, Huilin Chen, Martina Schmidt, Sebastian Humbel, and Dominik Brunner
Atmos. Meas. Tech., 15, 2177–2198, https://doi.org/10.5194/amt-15-2177-2022, https://doi.org/10.5194/amt-15-2177-2022, 2022
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Mapping trace gas emission plumes using in situ measurements from unmanned aerial vehicles (UAVs) is an emerging and attractive possibility to quantify emissions from localized sources. We performed an extensive controlled-release experiment to develop an optimal quantification method and to determine the related uncertainties under various environmental and sampling conditions. Our approach was successful in quantifying local methane sources from drone-based measurements.
Junlei Zhan, Yongchun Liu, Wei Ma, Xin Zhang, Xuezhong Wang, Fang Bi, Yujie Zhang, Zhenhai Wu, and Hong Li
Atmos. Meas. Tech., 15, 1511–1520, https://doi.org/10.5194/amt-15-1511-2022, https://doi.org/10.5194/amt-15-1511-2022, 2022
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Our study investigated the O3 formation sensitivity in Beijing using a random forest model coupled with the reactivity of volatile organic
compound (VOC) species. Results found that random forest accurately predicted O3 concentration when initial VOCs were considered, and relative importance correlated well with O3 formation potential. The O3 isopleth curves calculated by the random forest model were generally comparable with those calculated by the box model.
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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We present more than 2 years of NO2 pollution measurements from a sensor network in Greater London and compare results to an extensive network of expensive reference-grade monitors. We show the ability of our lower-cost network to generate robust insights about local air pollution. We also show how irregularities in sensor performance lead to some uncertainty in results and demonstrate ways that future users can characterize and mitigate uncertainties to get the most value from sensor data.
Timothy G. Pernini, T. Scott Zaccheo, Jeremy Dobler, and Nathan Blume
Atmos. Meas. Tech., 15, 225–240, https://doi.org/10.5194/amt-15-225-2022, https://doi.org/10.5194/amt-15-225-2022, 2022
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We demonstrate a novel approach to estimating emissions from oil sands operations that utilizes the GreenLITE™ gas concentration measurement system and an atmospheric model. While deployed at a facility in the Athabasca region of Alberta, Canada, CH4 emissions from a tailings pond were estimated to be 7.2 t/d for July–October 2019, and 5.1 t/d for March–July 2020. CH4 emissions from an open-pit mine were estimated to be 24.6 t/d for September–October 2019.
Wengang Zhang, Ling Wang, Yang Yu, Guirong Xu, Xiuqing Hu, Zhikang Fu, and Chunguang Cui
Atmos. Meas. Tech., 14, 7821–7834, https://doi.org/10.5194/amt-14-7821-2021, https://doi.org/10.5194/amt-14-7821-2021, 2021
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Global precipitable water vapor (PWV) derived from MERSI-II (Medium Resolution Spectral Imager) is compared with PWV from the Integrated Global Radiosonde Archive (IGRA). Our results show a good agreement between PWV from MERSI-II and IGRA and that MERSI-II PWV is slightly underestimated on the whole, especially in summer. The bias between MERSI-II and IGRA grows with a larger spatial distance between the footprint of the satellite and the IGRA station, as well as increasing PWV.
Trevor W. Coates, Monzurul Alam, Thomas K. Flesch, and Guillermo Hernandez-Ramirez
Atmos. Meas. Tech., 14, 7147–7152, https://doi.org/10.5194/amt-14-7147-2021, https://doi.org/10.5194/amt-14-7147-2021, 2021
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A field study tested two footprint models for calculating surface emissions from downwind flux measurements. Emission rates from a 10 × 10 m synthetic source were estimated with the simple Kormann–Meixner model and a sophisticated Lagrangian stochastic model. Both models underestimated emissions by approximately 30 %, and no statistical differences were observed between the models. Footprint models are critically important for interpreting eddy covariance measurements.
Teles C. Furlani, Patrick R. Veres, Kathryn E. R. Dawe, J. Andrew Neuman, Steven S. Brown, Trevor C. VandenBoer, and Cora J. Young
Atmos. Meas. Tech., 14, 5859–5871, https://doi.org/10.5194/amt-14-5859-2021, https://doi.org/10.5194/amt-14-5859-2021, 2021
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This study characterized and validated a commercial spectroscopic instrument for the measurement of hydrogen chloride (HCl) in the atmosphere. Near the Earth’s surface, HCl acts as the dominant reservoir for other chlorine-containing reactive chemicals that play an important role in atmospheric chemistry. The properties of HCl make it challenging to measure. This instrument can overcome many of these challenges, enabling reliable HCl measurements.
Marvin Glowania, Franz Rohrer, Hans-Peter Dorn, Andreas Hofzumahaus, Frank Holland, Astrid Kiendler-Scharr, Andreas Wahner, and Hendrik Fuchs
Atmos. Meas. Tech., 14, 4239–4253, https://doi.org/10.5194/amt-14-4239-2021, https://doi.org/10.5194/amt-14-4239-2021, 2021
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Three instruments that use different techniques to measure gaseous formaldehyde concentrations were compared in experiments in the atmospheric simulation chamber SAPHIR at Forschungszentrum Jülich. The results demonstrated the need to correct the baseline in measurements by instruments that use the Hantzsch reaction or make use of cavity ring-down spectroscopy. After applying corrections, all three methods gave accurate and precise measurements within their specifications.
Attilio Naccarato, Antonella Tassone, Maria Martino, Sacha Moretti, Antonella Macagnano, Emiliano Zampetti, Paolo Papa, Joshua Avossa, Nicola Pirrone, Michelle Nerentorp, John Munthe, Ingvar Wängberg, Geoff W. Stupple, Carl P. J. Mitchell, Adam R. Martin, Alexandra Steffen, Diana Babi, Eric M. Prestbo, Francesca Sprovieri, and Frank Wania
Atmos. Meas. Tech., 14, 3657–3672, https://doi.org/10.5194/amt-14-3657-2021, https://doi.org/10.5194/amt-14-3657-2021, 2021
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Mercury monitoring in support of the Minamata Convention requires effective and reliable analytical tools. Passive sampling is a promising approach for creating a sustainable long-term network for atmospheric mercury with improved spatial resolution and global coverage. In this study the analytical performance of three passive air samplers (CNR-PAS, IVL-PAS, and MerPAS) was assessed over extended deployment periods and the accuracy of concentrations was judged by comparison with active sampling.
Yuan You, Ralf M. Staebler, Samar G. Moussa, James Beck, and Richard L. Mittermeier
Atmos. Meas. Tech., 14, 1879–1892, https://doi.org/10.5194/amt-14-1879-2021, https://doi.org/10.5194/amt-14-1879-2021, 2021
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Tailings ponds in the Alberta oil sands can be significant sources of methane, an important greenhouse gas. This paper describes a 1-month study conducted in 2017 to measure methane emissions from a pond using a variety of micrometeorological flux methods and demonstrates some advantages of these methods over flux chambers.
Christoph Häni, Marcel Bühler, Albrecht Neftel, Christof Ammann, and Thomas Kupper
Atmos. Meas. Tech., 14, 1733–1741, https://doi.org/10.5194/amt-14-1733-2021, https://doi.org/10.5194/amt-14-1733-2021, 2021
Seth Kutikoff, Xiaomao Lin, Steven R. Evett, Prasanna Gowda, David Brauer, Jerry Moorhead, Gary Marek, Paul Colaizzi, Robert Aiken, Liukang Xu, and Clenton Owensby
Atmos. Meas. Tech., 14, 1253–1266, https://doi.org/10.5194/amt-14-1253-2021, https://doi.org/10.5194/amt-14-1253-2021, 2021
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Fast-response infrared gas sensors have been used over 3 decades for long-term monitoring of water vapor fluxes. As optically improved infrared gas sensors are newly employed, we evaluated the performance of water vapor density and water vapor flux from three generations of infrared gas sensors in Bushland, Texas, USA. From our experiments, fluxes from the old sensors were best representative of evapotranspiration based on a world-class lysimeter reference measurement.
Yuan You, Samar G. Moussa, Lucas Zhang, Long Fu, James Beck, and Ralf M. Staebler
Atmos. Meas. Tech., 14, 945–959, https://doi.org/10.5194/amt-14-945-2021, https://doi.org/10.5194/amt-14-945-2021, 2021
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Tailings ponds in the Alberta oil sands represent an insufficiently characterized source of fugitive emissions of pollutants to the atmosphere. In this study, a novel approach of using a Fourier transform infrared spectrometer along with measurements of atmospheric turbulence is shown to present a practical, non-intrusive method of quantifying emission rates for ammonia, alkanes, and methane. Results from a 1-month field study are presented and discussed.
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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A unique feature of our low-cost sensor deployment is a swap-out experiment wherein four of the six sensors were relocated to different sites in the two phases. The swap-out experiment is crucial in investigating the efficacy of calibration models when applied to weather and air quality conditions vastly different from those present during calibration. We developed a novel local calibration algorithm based on metric learning that offers stable and accurate calibration performance.
Michal Vojtisek-Lom, Alessandro A. Zardini, Martin Pechout, Lubos Dittrich, Fausto Forni, François Montigny, Massimo Carriero, Barouch Giechaskiel, and Giorgio Martini
Atmos. Meas. Tech., 13, 5827–5843, https://doi.org/10.5194/amt-13-5827-2020, https://doi.org/10.5194/amt-13-5827-2020, 2020
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The feasibility of monitoring on-road emissions from small motorcycles with two highly compact portable emissions monitoring systems was evaluated on three motorcycles, with positive results. Mass emissions measured on the road were consistent among repeated runs, with differences between laboratory and on-road tests much larger than those between portable and laboratory systems, which were, on the average, within units of percent over standard test cycles.
Xiaoyu Sun, Minzheng Duan, Yang Gao, Rui Han, Denghui Ji, Wenxing Zhang, Nong Chen, Xiangao Xia, Hailei Liu, and Yanfeng Huo
Atmos. Meas. Tech., 13, 3595–3607, https://doi.org/10.5194/amt-13-3595-2020, https://doi.org/10.5194/amt-13-3595-2020, 2020
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The accurate measurement of greenhouse gases and their vertical distribution in the atmosphere is significant to the study of climate change and satellite remote sensing. Carbon dioxide and methane between 0.6 and 7 km were measured by the aircraft King Air 350ER in Jiansanjiang, northeast China, on 7–11 August 2018. The profiles show strong variation with the altitude and time, so the vertical structure of gases should be taken into account in the current satellite retrieval algorithm.
Paul A. Solomon, Dena Vallano, Melissa Lunden, Brian LaFranchi, Charles L. Blanchard, and Stephanie L. Shaw
Atmos. Meas. Tech., 13, 3277–3301, https://doi.org/10.5194/amt-13-3277-2020, https://doi.org/10.5194/amt-13-3277-2020, 2020
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Analyzing street-level air pollutants (2016–2017), this assessment indicates that mobile measurement is precise and accurate (5 % to 25 % bias) relative to regulatory sites, with higher spatial resolution. Collocated sensor measurements in California showed differences less than 20 %, suggesting that greater differences represent spatial variability. Mobile data confirm regulatory-site spatial representation and that pollutant levels can also be 6 to 8 times higher just blocks apart.
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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Recent discoveries have shown large emissions of methane (CH4) to the atmosphere from meltwater at the Greenland ice sheet (GrIS). Low-cost and low-power gas sensor technology offers great potential to supplement CH4 measurements using very expensive reference analyzers under harsh and remote conditions. In this paper we evaluate the in situ performance at the GrIS of a low-cost CH4 sensor to a state-of-the-art analyzer and find very excellent agreement between the two methods.
Lilian Joly, Olivier Coopmann, Vincent Guidard, Thomas Decarpenterie, Nicolas Dumelié, Julien Cousin, Jérémie Burgalat, Nicolas Chauvin, Grégory Albora, Rabih Maamary, Zineb Miftah El Khair, Diane Tzanos, Joël Barrié, Éric Moulin, Patrick Aressy, and Anne Belleudy
Atmos. Meas. Tech., 13, 3099–3118, https://doi.org/10.5194/amt-13-3099-2020, https://doi.org/10.5194/amt-13-3099-2020, 2020
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This article presents an instrument weighing less than 3 kg for accurate and rapid measurement of greenhouse gases between 0 and 30 km altitude using a meteorological balloon. This article shows the interest of these measurements for the validation of simulations of infrared satellite observations.
Jonathan Elsey, Marc D. Coleman, Tom D. Gardiner, Kaah P. Menang, and Keith P. Shine
Atmos. Meas. Tech., 13, 2335–2361, https://doi.org/10.5194/amt-13-2335-2020, https://doi.org/10.5194/amt-13-2335-2020, 2020
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Water vapour is an important component in trying to understand the flows of energy between the Sun and Earth, since it is opaque to radiation emitted by both the surface and the Sun. In this paper, we study how it absorbs sunlight by way of its
continuum, a property which is poorly understood and with few measurements. Our results indicate that this continuum absorption may be more significant than previously thought, potentially impacting satellite observations and climate studies.
Claudia Grossi, Scott D. Chambers, Olivier Llido, Felix R. Vogel, Victor Kazan, Alessandro Capuana, Sylvester Werczynski, Roger Curcoll, Marc Delmotte, Arturo Vargas, Josep-Anton Morguí, Ingeborg Levin, and Michel Ramonet
Atmos. Meas. Tech., 13, 2241–2255, https://doi.org/10.5194/amt-13-2241-2020, https://doi.org/10.5194/amt-13-2241-2020, 2020
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The sustainable support of radon metrology at the environmental level offers new scientific possibilities for the quantification of greenhouse gas (GHG) emissions and the determination of their source terms as well as for the identification of radioactive sources for the assessment of radiation exposure. This study helps to harmonize the techniques commonly used for atmospheric radon and radon progeny activity concentration measurements.
Cheng-Hsien Lin, Richard H. Grant, Albert J. Heber, and Cliff T. Johnston
Atmos. Meas. Tech., 13, 2001–2013, https://doi.org/10.5194/amt-13-2001-2020, https://doi.org/10.5194/amt-13-2001-2020, 2020
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Gas quantification using the open-path Fourier transform infrared spectrometer (OP-FTIR) is subject to interferences of environmental variables, leading to errors in gas concentration calculations. This study investigated the effects of ambient water vapour content, temperature, path lengths, and wind speed on the quantification of N2O and CO2 concentrations, which can help the OP-FTIR users to avoid these errors and improve the precision and accuracy of the atmospheric gas quantification.
Rachel Edie, Anna M. Robertson, Robert A. Field, Jeffrey Soltis, Dustin A. Snare, Daniel Zimmerle, Clay S. Bell, Timothy L. Vaughn, and Shane M. Murphy
Atmos. Meas. Tech., 13, 341–353, https://doi.org/10.5194/amt-13-341-2020, https://doi.org/10.5194/amt-13-341-2020, 2020
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Ground-based measurements of emissions from oil and natural gas production are important for understanding emission distributions and improving emission inventories. Here, measurement technique Other Test Method 33A (OTM 33A) is validated through several test releases staged at the Methane Emissions Technology Evaluation Center. These tests suggest OTM 33A has no inherent bias and that a group of OTM measurements is within 5 % of the known mean emission rate.
Zheng Xu, Yuliang Liu, Wei Nie, Peng Sun, Xuguang Chi, and Aijun Ding
Atmos. Meas. Tech., 12, 6737–6748, https://doi.org/10.5194/amt-12-6737-2019, https://doi.org/10.5194/amt-12-6737-2019, 2019
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We evaluated the performance of HONO measurement by a wet-denuder--ion0chromatography system (WD/IC, MARGA). We found significant artificial HONO formed from the reaction of NO2 oxidizing SO2 in the denuder solution. High ambient NH3 would elevate the pH of the denuder solution and promote the overestimation of HONO. A method was established to correct the HONO measurement by WD/IC instruments.
Leigh R. Crilley, Louisa J. Kramer, Bin Ouyang, Jun Duan, Wenqian Zhang, Shengrui Tong, Maofa Ge, Ke Tang, Min Qin, Pinhua Xie, Marvin D. Shaw, Alastair C. Lewis, Archit Mehra, Thomas J. Bannan, Stephen D. Worrall, Michael Priestley, Asan Bacak, Hugh Coe, James Allan, Carl J. Percival, Olalekan A. M. Popoola, Roderic L. Jones, and William J. Bloss
Atmos. Meas. Tech., 12, 6449–6463, https://doi.org/10.5194/amt-12-6449-2019, https://doi.org/10.5194/amt-12-6449-2019, 2019
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Nitrous acid (HONO) is key species for understanding tropospheric chemistry, yet accurate and precise measurements are challenging. Here we report an inter–comparison exercise of a number of instruments that measured HONO in a highly polluted location (Beijing). All instruments agreed on the temporal trends yet displayed divergence in absolute concentrations. The cause of this divergence was unclear, but it may in part be due to spatial variability in instrument location.
Rupert Holzinger, W. Joe F. Acton, William J. Bloss, Martin Breitenlechner, Leigh R. Crilley, Sébastien Dusanter, Marc Gonin, Valerie Gros, Frank N. Keutsch, Astrid Kiendler-Scharr, Louisa J. Kramer, Jordan E. Krechmer, Baptiste Languille, Nadine Locoge, Felipe Lopez-Hilfiker, Dušan Materić, Sergi Moreno, Eiko Nemitz, Lauriane L. J. Quéléver, Roland Sarda Esteve, Stéphane Sauvage, Simon Schallhart, Roberto Sommariva, Ralf Tillmann, Sergej Wedel, David R. Worton, Kangming Xu, and Alexander Zaytsev
Atmos. Meas. Tech., 12, 6193–6208, https://doi.org/10.5194/amt-12-6193-2019, https://doi.org/10.5194/amt-12-6193-2019, 2019
Christoph Zellweger, Rainer Steinbrecher, Olivier Laurent, Haeyoung Lee, Sumin Kim, Lukas Emmenegger, Martin Steinbacher, and Brigitte Buchmann
Atmos. Meas. Tech., 12, 5863–5878, https://doi.org/10.5194/amt-12-5863-2019, https://doi.org/10.5194/amt-12-5863-2019, 2019
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We analysed results obtained through CO and N2O performance audits conducted within the framework of the Global Atmosphere Watch (GAW) quality management system of the World Meteorology Organization (WMO). The results reveal that current spectroscopic measurement techniques have clear advantages with respect to data quality objectives compared to more traditional methods. Further, they allow for a smooth continuation of historic CO and N2O time series.
Lukas Siebicke and Anas Emad
Atmos. Meas. Tech., 12, 4393–4420, https://doi.org/10.5194/amt-12-4393-2019, https://doi.org/10.5194/amt-12-4393-2019, 2019
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We present the emerging flux measurement method
true eddy accumulation(TEA), able to quantify the land–atmosphere exchange of a large number of trace gases which are important for air quality and atmospheric composition. Our innovative implementation provides proof of concept of TEA and compared well to the established reference, outperforming previous works on TEA. Key to the success was the innovative high-speed air sampling and fully digital real-time data processing system.
Loic Lechevallier, Roberto Grilli, Erik Kerstel, Daniele Romanini, and Jérôme Chappellaz
Atmos. Meas. Tech., 12, 3101–3109, https://doi.org/10.5194/amt-12-3101-2019, https://doi.org/10.5194/amt-12-3101-2019, 2019
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In this work we describe a highly sensitive optical spectrometer for simultaneous measurement of methane, ethane, and the isotopic composition of methane. The coupling of the spectrometer with a dissolved gas extraction system will provide a suitable tool for understanding the origins of the dissolved hydrocarbons and discriminate between the different sources (e.g., biogenic vs. thermogenic).
Kate R. Smith, Peter M. Edwards, Peter D. Ivatt, James D. Lee, Freya Squires, Chengliang Dai, Richard E. Peltier, Mat J. Evans, Yele Sun, and Alastair C. Lewis
Atmos. Meas. Tech., 12, 1325–1336, https://doi.org/10.5194/amt-12-1325-2019, https://doi.org/10.5194/amt-12-1325-2019, 2019
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Clusters of low-cost, low-power atmospheric gas sensors were built into a sensor instrument to monitor NO2 and O3 in Beijing, alongside reference instruments, aiming to improve the reliability of sensor measurements. Clustering identical sensors and using the median sensor signal was used to minimize drift over short and medium timescales. Three different machine learning techniques were used for all the sensor data in an attempt to correct for cross-interferences, which worked to some degree.
Mei Bai, Helen Suter, Shu Kee Lam, Thomas K. Flesch, and Deli Chen
Atmos. Meas. Tech., 12, 1095–1102, https://doi.org/10.5194/amt-12-1095-2019, https://doi.org/10.5194/amt-12-1095-2019, 2019
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Improving direct field measurement techniques to quantify gas emissions from large agriculture farm is challenging. We measured nitrous oxide (N2O) emissions with static closed chambers and slant open-path flux gradient (FG) approaches following chicken manure application. The concurrent emission ratios (FG / chamber) showed N2O fluxes measured by FG were 1.22-1.40 times higher than those from the chambers. This study provides important information for the agriculture gas measurement community.
Vincent Michoud, Stéphane Sauvage, Thierry Léonardis, Isabelle Fronval, Alexandre Kukui, Nadine Locoge, and Sébastien Dusanter
Atmos. Meas. Tech., 11, 5729–5740, https://doi.org/10.5194/amt-11-5729-2018, https://doi.org/10.5194/amt-11-5729-2018, 2018
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This study presents the first measurements of ambient methylglyoxal, an important atmospheric α-dicarbonyl, using proton transfer reaction time-of-flight mass spectrometry. These measurements mostly agree with concomitant measurements from a reference technique: the DNPH derivatization technique and high-performance liquid chromatography with UV detection. In addition, a careful investigation of the differences between the two techniques is carried out to explain the disagreements observed.
Michael J. Prather, Clare M. Flynn, Xin Zhu, Stephen D. Steenrod, Sarah A. Strode, Arlene M. Fiore, Gustavo Correa, Lee T. Murray, and Jean-Francois Lamarque
Atmos. Meas. Tech., 11, 2653–2668, https://doi.org/10.5194/amt-11-2653-2018, https://doi.org/10.5194/amt-11-2653-2018, 2018
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A new protocol for merging in situ atmospheric chemistry measurements with 3-D models is developed. This technique can identify the most reactive air parcels in terms of tropospheric production/loss of O3 & CH4. This approach highlights differences in 6 global chemistry models even with composition specified. Thus in situ measurements from, e.g., NASA's ATom mission can be used to develop a chemical climatology of, not only the key species, but also the rates of key reactions in each air parcel.
Richard H. Grant and Rex A. Omonode
Atmos. Meas. Tech., 11, 2119–2133, https://doi.org/10.5194/amt-11-2119-2018, https://doi.org/10.5194/amt-11-2119-2018, 2018
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Annual emissions of trace gases requires knowledge of the emissions throughout the day and year. Unfortunately emissions into the surface boundary layer during calm nights are rarely measured. During such conditions surface layer concentrations of carbon dioxide (CO2) and nitrous oxide (N2O) often accumulate in the surface boundary layer and the time rate of change of this accumulation was used to estimate emissions. Results showed this approach to be reasonable.
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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Ground-level ozone has negative human health impacts. In the summer of 2015, 13 low-cost sensor monitors were deployed to several neighborhoods around Riverside, California. There were significant spatial differences between monitors. This is important because it means that ozone in certain places may be higher than what EPA monitors report for an area, which is pertinent for residents of those communities. This research helps inform the limitations and advantages of low-cost sensor networks.
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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Although in many cities the population is exposed to air pollution, real-time air quality is usually only measured at a few locations. New low-cost sensor technology has the potential to extend the monitoring network significantly. We show that citizen science campaigns using the current generations of electrochemical NO2 sensors may provide useful complementary data on local air quality in an urban setting, provided that experiments are properly set up and the data are carefully analysed.
Natasha L. Miles, Douglas K. Martins, Scott J. Richardson, Christopher W. Rella, Caleb Arata, Thomas Lauvaux, Kenneth J. Davis, Zachary R. Barkley, Kathryn McKain, and Colm Sweeney
Atmos. Meas. Tech., 11, 1273–1295, https://doi.org/10.5194/amt-11-1273-2018, https://doi.org/10.5194/amt-11-1273-2018, 2018
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Analyzers measuring methane and methane isotopic ratio were deployed at four towers in the Marcellus Shale natural gas extraction region of Pennsylvania. The methane isotopic ratio is helpful for differentiating emissions from natural gas activities from other sources (e.g., landfills). We describe the analyzer calibration. The signals observed in the study region were generally small, but the instrumental performance demonstrated here could be used in regions with stronger enhancements.
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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The use of low-cost sensors for air pollution research has outpaced our understanding of their capabilities and limitations under real-world conditions. Here we describe the deployment, calibration and evaluation of electrochemical sensors on the Island of Hawai‘i. We obtain excellent performance (RMSE < 7 ppb, r2 = 0.997) across a wide dynamic range (1 ppb–2 ppm). We introduce a hybrid regression algorithm which works across a large dynamic range and shows little decay in sensitivity over time.
Erin Dunne, Ian E. Galbally, Min Cheng, Paul Selleck, Suzie B. Molloy, and Sarah J. Lawson
Atmos. Meas. Tech., 11, 141–159, https://doi.org/10.5194/amt-11-141-2018, https://doi.org/10.5194/amt-11-141-2018, 2018
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A comparison of measurements of 7 volatile organic compounds (VOCs) in urban air by 3 different methods is presented. An uncertainty was calculated for each method and VOCs measured to provide some idea of the reliability of the data. Even when this uncertainty was accounted for, the measurements from the different methods did not agree for 4 of the 7 VOCs. Thus, there is unaccounted uncertainty in VOC measurements which must be considered when utilizing the data and assessing their reliability.
Cited articles
Bai, M.: Methane emissions from livestock measured by novel spectroscopic
techniques, Doctor of Philosophy PhD Thesis, School of Chemistry, University
of Wollongong, Wollongong, NSW, Australia, 303 pp., 2010.
Bai, M., Flesch, K. T., Trouvé, R., Coates, T. W., Butterly, C., Bhatta,
B., Hill, J., and Chen, D.: Gas Emissions during Cattle Manure Composting
and Stockpiling, J. Environ. Qual., 49, 228–235, https://doi.org/10.1002/jeq2.20029, 2020.
Bindon, B. M.: Genesis of the Cooperative Research Centre for the Cattle and
Beef Industry: integration of resources for beef quality research
(1993–2000), Aust. J. Exp. Agr., 41, 843–853,
https://doi.org/10.1071/EA00067, 2001.
Charmley, E., Williams, S. R. O., Moate, P. J., Hegarty, R. S., Herd, R. M.,
Oddy, V. H., Reyenga, P., Staunton, K. M., Anderson, A., and Hannah, M. C.:
A universal equation to predict methane production of forage-fed cattle in
Australia, Anim. Prod. Sci., 56, 169–180, https://doi.org/10.1071/AN15365, 2016.
Cottle, D. J., Nolan, J. V., and Wiedemann, S. G.: Ruminant enteric methane
mitigation: a review, Anim. Prod. Sci., 51, 491–514, https://doi.org/10.1071/AN10163, 2011.
Dengel, S., Levy, P. E., Grace, J., Jones, S. K., and Skiba, U. M.: Methane
emissions from sheep pasture, measured with an open-path eddy covariance
system, Glob. Change Biol., 17, 3524–3533, https://doi.org/10.1111/j.1365-2486.2011.02466.x, 2011.
DoE: Australian National Greenhouse Accounts. National Inventory Report
2012. Department of Environment, available at: http://www.environment.gov.au/node/35779, last access: 12 December
2014.
Felber, R., Münger, A., Neftel, A., and Ammann, C.: Eddy covariance methane flux measurements over a grazed pasture: effect of cows as moving point sources, Biogeosciences, 12, 3925–3940, https://doi.org/10.5194/bg-12-3925-2015, 2015.
Flesch, T. K. and Wilson, J. D.: Estimating tracer emissions with a backward
Lagrangian stochastic technique, in: Micrometeorology in agricultural
systems, edited by: Hatfield, J. L., Baker, J. M., and Viney, M. K., American
Society of Agronomy, Inc. Crop Science Society of America, Inc. Soil Science
Society of America, Inc., Ames, Iowa, USA, 2005.
Flesch, T. K., Wilson, J. D., Harper, L. A., Crenna, B. P., and Sharpe, R.
R.: Deducing ground-to-air emissions from observed trace gas concentrations:
A field trial, J. Appl. Meteorol., 43, 487–502, https://doi.org/10.1175/1520-0450(2004)043<0487:DGEFOT>2.0.CO;2, 2004.
Flesch, T. K., Wilson, J. D., Harper, L. A., and Crenna, B. P.: Estimating
gas emissions from a farm with an inverse-dispersion technique, Atmos.
Environ., 39, 4863–4874, https://doi.org/10.1016/j.atmosenv.2005.04.032, 2005.
Flesch, T. K., Baron, V., Wilson, J., Griffith, D. W. T., Basarab, J., and
Carlson, P.: Agricultural gas emissions during the spring thaw: Applying a
new measuremnt technique, Agric. Forest Meteorol., 221, 111–121, https://doi.org/10.1016/j.agrformet.2016.02.010, 2016.
Flessa, H., Dörsch, P., Beese, F., König, H., and Bouwman, A. F.:
Influence of Cattle Wastes on Nitrous Oxide and Methane Fluxes in Pasture
Land, J. Environ. Qual., 25, 1366–1370, https://doi.org/10.2134/jeq1996.00472425002500060028x, 1996.
Garnsworthy, P. C., Craigon, J., Hernandez-Medrano, J. H., and Saunders, N.:
On-farm methane measurements during milking correlate with total methane
production by individual dairy cows, J. Dairy Sci., 95, 3166–3180,
https://doi.org/10.3168/jds.2011-4605, 2012.
Garratt, J. R.: The atmospheric boundary layer, Cambridge University Press,
Cambridge, UK, 1992.
Grainger, C., Clarke, T., McGinn, S. M., Auldist, M. J., Beauchemin, K. A.,
Hannah, M. C., Waghorn, G. C., Clark, H., and Eckard, R. J.: Methane
emissions from dairy cows measured using the Sulfur Hexafluoride (SF6)
tracer and chamber techniques, J. Dairy Sci., 90, 2755–2766, https://doi.org/10.3168/jds.2006-697, 2007.
Griffith, D. W. T.: Synthetic calibration and quantitative analysis of
gas-phase FT-IR spectra, Appl. Spectrosc., 50, 59–70, 1996.
Griffith, D. W. T., Bryant, G. R., Hsu, D., and Reisinger, A. R.: Methane
emissions from free-ranging cattle: comparison of tracer and integrated
horizontal flux techniques, J. Environ. Qual., 37, 582–591, https://doi.org/10.2134/jeq2006.0426, 2008.
Harper, L. A., Denmead, O. T., and Flesch, T. K.: Micrometeorological
techniques for measurement of enteric greenhouse gas emissions, Anim. Feed
Sci. Tech., 166–167, 227–239, https://doi.org/10.1016/j.anifeedsci.2011.04.013, 2011.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared
by the National Greenhouse Gas Inventories Programme, edited by: Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K., IGES, Hayama, Kanagawa, Japan, 2006.
Johnson, K., Huyler, M., Westberg, H., Lamb, B., and Zimmerman, P.:
Measurement of methane emissions from ruminant livestock using a SF6
tracer technique, Environ. Sci. Technol., 28, 359–362, https://doi.org/10.1021/es00051a025, 1994.
Jones, F. M., Phillips, F. A., Naylor, T., and Mercer, N. B.: Methane
emissions from grazing Angus beef cows selected for divergent residual feed
intake, Anim. Feed Sci. Tech., 166, 302–307, https://doi.org/10.1016/j.anifeedsci.2011.04.020, 2011.
Kebreab, E., Clark, K., Wagner-Riddle, C., and France, J.: Methane and
nitrous oxide emissions from Canadian animal agriculture: A review, Can. J.
Anim. Sci., 86, 135–157, https://doi.org/10.4141/A05-010, 2006.
Laubach, J., Kelliher, F. M., Knight, T. W., Clark, H., Molano, G., and
Cavanagh, A.: Methane emissions from beef cattle – a comparison of paddock-
and animal-scale measurements, Aust. J. Exp. Agr., 48, 132–137, https://doi.org/10.1071/EA07256, 2008.
Lockyer, D. R. and Jarvis, S. C.: The measurement of methane losses from
grazing animals, Environ. Pollut., 90, 383–390, https://doi.org/10.1016/0269-7491(95)00009-G, 1995.
McGinn, S. M., Turner, D., Tomkins, N., Charmley, E., Bishop-Hurley, G., and
Chen, D.: Methane Emissions from Grazing Cattle Using Point-Source
Dispersion, J. Environ. Qual., 40, 22–27, https://doi.org/10.2134/jeq2010.0239, 2011.
McGinn, S. M., Flesch, T. K., Coates, T. W., Charmley, E., Chen, D., Bai,
M., and Bishop-Hurley, G.: Evaluating dispersion modelling options to
estimate methane emissions from grazing beef cattle, J. Environ. Qual., 44,
97–102, https://doi.org/10.2134/jeq2014.06.0275, 2015.
McGinn, S. M., Flesch, T. K., Beauchemin, K. A., Shreck, A., and Kindermann,
M.: Micrometeorological Methods for Measuring Methane Emission Reduction at
Beef Cattle Feedlots: Evaluation of 3-Nitrooxypropanol Feed Additive, J.
Environ. Qual., 48, 1454–1461, https://doi.org/10.2134/jeq2018.11.0412, 2019.
Min, B. R., Solaiman, S., Waldrip, H. M., Parker, D., Todd, R. W., and
Brauer, D.: Dietary mitigation of enteric methane emissions from ruminants:
A review of plant tannin mitigation options, Anim. Nutr., 6, 231–246,
https://doi.org/10.1016/j.aninu.2020.05.002, 2020.
Myhre, G., Shindell, D., Bréon, F.-M., Collins, W., Fuglestvedt, J.,
Huang, J., Koch, D., Lamarque, J.-F., Lee, D., Mendoza, B., Nakajima, T.,
Robock, A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and
Natural Radiative Forcing, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013.
Ominski, K. H., Boadi, D. A., and Wittenberg, K. M.: Enteric methane
emissions from backgrounded cattle consuming all-forage diets, Can. J. Anim.
Sci., 86, 393–400, https://doi.org/10.4141/A05-051, 2006.
Paton-Walsh, C., Smith, T. E. L., Young, E. L., Griffith, D. W. T., and Guérette, É.-A.: New emission factors for Australian vegetation fires measured using open-path Fourier transform infrared spectroscopy – Part 1: Methods and Australian temperate forest fires, Atmos. Chem. Phys., 14, 11313–11333, https://doi.org/10.5194/acp-14-11313-2014, 2014.
Rothman, L. S., Gordon, I. E., Barbe, A., Benner, D. C., Bernath, P. F.,
Birk, M., Boudon, V., Brown, L. R., Campargue, A., Champion, J. P., Chance,
K., Coudert, L. H., Dana, V., Devi, V. M., Fally, S., Flaud, J. M., Gamache,
R. R., Goldman, A., Jacquemart, D., Kleiner, I., Lacome, N., Lafferty, W.
J., Mandin, J. Y., Massie, S. T., Mikhailenko, S. N., Miller, C. E.,
Moazzen-Ahmadi, N., Naumenko, O. V., Nikitin, A. V., Orphal, J., Perevalov,
V. I., Perrin, A., Predoi-Cross, A., Rinsland, C. P., Rotger, M.,
Šimečková, M., Smith, M. A. H., Sung, K., Tashkun, S. A.,
Tennyson, J., Toth, R. A., Vandaele, A. C., and Vander Auwera, J.: The
HITRAN 2008 molecular spectroscopic database, J. Quant. Spectrosc. Ra., 110,
533–572, https://doi.org/10.1016/j.jqsrt.2009.02.013, 2009.
Smith, T. E. L., Wooster, M. J., Tattaris, M., and Griffith, D. W. T.: Absolute accuracy and sensitivity analysis of OP-FTIR retrievals of CO2, CH4 and CO over concentrations representative of “clean air” and “polluted plumes”, Atmos. Meas. Tech., 4, 97–116, https://doi.org/10.5194/amt-4-97-2011, 2011.
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., and
Tignor, M.: Contribution of Working Group I to the Fourth Assessment Report
of the Intergovernmental Panel on Climate Change Climate Change 2007: The
Physical Science Basis, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, 2007.
Todd, R. W., Altman, M. B., Cole, N. A., and Waldrip, H. M.: Methane
Emissions from a Beef Cattle Feedyard during Winter and Summer on the
Southern High Plains of Texas, J. Environ. Qual., 43, 1125–1130, https://doi.org/10.2134/jeq2013.09.0386, 2014.
Tomkins, N. W. and Charmley, E.: Herd-scale measurements of methane
emissions from cattle grazing extensive sub-tropical grasslands using the
open-path laser technique, Animal, 9, 2029–2038, https://doi.org/10.1017/S1751731115001688, 2015.
Vyas, D., Alemu, A. W., McGinn, S. M., Duval, S. M., Kindermann, M., and
Beauchemin, K. A.: The combined effects of supplementing monensin and
3-nitrooxypropanol on methane emissions, growth rate, and feed conversion
efficiency in beef cattle fed high-forage and high-grain diets, J. Anim.
Sci., 96, 2923–2938, https://doi.org/10.1093/jas/sky174, 2018.
Zimmerman, P. R. and Zimmerman, R. S.: Method and system for monitoring and
reducing ruminant methane production, in: U.S Patent 13/087,051, C-Lock, Inc., Rapid City, SD, USA, 2012.
Short summary
The development and validation of management practices to mitigate methane (CH4) emissions from livestock require accurate emission measurements. We compared the inverse dispersion modelling (IDM) and tracer-ratio techniques to measure CH4 emissions from cattle. Both measurements agreed well but were higher than IPCC estimates. We suggest that the IDM approach can provide an accurate method of estimating cattle emissions, and IPCC estimates may have larger uncertainties.
The development and validation of management practices to mitigate methane (CH4) emissions from...
