110 citations as recorded by crossref.

1. Examination of geostatistical and machine-learning techniques as interpolators in anisotropic atmospheric environments J. Tadić et al. https://doi.org/10.1016/j.atmosenv.2015.03.063
2. Top‐Down Estimates of NOx and CO Emissions From Washington, D.C.‐Baltimore During the WINTER Campaign O. Salmon et al. https://doi.org/10.1029/2018JD028539
3. High‐resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX) T. Lauvaux et al. https://doi.org/10.1002/2015JD024473
4. Airborne remote sensing and in situ measurements of atmospheric CO2 to quantify point source emissions T. Krings et al. https://doi.org/10.5194/amt-11-721-2018
5. Quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements in the dormant season: Results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. https://doi.org/10.1525/elementa.127
6. Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019 M. Makarova et al. https://doi.org/10.5194/amt-14-1047-2021
7. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
8. Diurnal Variation of CO₂ Flux in an Urban Area of Tokyo T. Hirano et al. https://doi.org/10.2151/sola.2015-024
9. Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. https://doi.org/10.1098/rsta.2020.0450
10. Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. https://doi.org/10.1029/2021GB007261
11. Inferring methane emissions from African livestock by fusing drone, tower, and satellite data A. van Hove et al. https://doi.org/10.5194/bg-22-4163-2025
12. Identifying under-characterized atmospheric methane emission sources in Western Maryland H. Li et al. https://doi.org/10.1016/j.atmosenv.2019.117053
13. Methane emissions from a Californian landfill, determined from airborne remote sensing and in situ measurements S. Krautwurst et al. https://doi.org/10.5194/amt-10-3429-2017
14. Assessing London CO2, CH4 and CO emissions using aircraft measurements and dispersion modelling J. Pitt et al. https://doi.org/10.5194/acp-19-8931-2019
15. Enhanced reaction extraction distillation via multi-objective optimization and 4E analysis for sustainable recovery of organic compounds from wastewater Y. Wang et al. https://doi.org/10.1016/j.psep.2024.04.064
16. Methane emissions from dairies in the Los Angeles Basin C. Viatte et al. https://doi.org/10.5194/acp-17-7509-2017
17. How far need to go from peak to neutrality? Perspective from energy consumption emission offset analysis in Beijing-Tianjin-Hebei Agglomeration W. Wu et al. https://doi.org/10.1016/j.jclepro.2024.143119
18. UAV-Based Measurements of Methane Enhancements Reveal Hotspot Structure and Wind Effects S. Dash et al. https://doi.org/10.1021/acs.est.5c18173
19. Methane, carbon dioxide, hydrogen sulfide, and isotopic ratios of methane observations from the Permian Basin tower network V. Monteiro et al. https://doi.org/10.5194/essd-14-2401-2022
20. Detection of Methane Leaks via a Drone-Based System for Sustainable Landfills and Oil and Gas Facilities: Effect of Different Variables on the Background-Noise Measurement G. Tassielli et al. https://doi.org/10.3390/su16177748
21. Tower-based greenhouse gas measurement network design—The National Institute of Standards and Technology North East Corridor Testbed I. Lopez-Coto et al. https://doi.org/10.1007/s00376-017-6094-6
22. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas E. Arzoumanian et al. https://doi.org/10.5194/amt-12-2665-2019
23. Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs T. Chai et al. https://doi.org/10.5194/acp-23-12907-2023
24. Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. https://doi.org/10.5194/acp-21-15461-2021
25. Methane emissions from oil and gas production on the North Slope of Alaska C. Floerchinger et al. https://doi.org/10.1016/j.atmosenv.2019.116985
26. FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations Y. Huang et al. https://doi.org/10.1109/JSTARS.2024.3490896
27. Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. https://doi.org/10.5194/acp-19-3043-2019
28. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. https://doi.org/10.1525/elementa.411
29. Assessing the Methane Emissions from Natural Gas-Fired Power Plants and Oil Refineries T. Lavoie et al. https://doi.org/10.1021/acs.est.6b05531
30. Quantifying CH4 emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry A. Luther et al. https://doi.org/10.5194/amt-12-5217-2019
31. Methane and carbon dioxide fluxes and their regional scalability for the European Arctic wetlands during the MAMM project in summer 2012 S. O'Shea et al. https://doi.org/10.5194/acp-14-13159-2014
32. Application of Unmanned Aerial Vehicle Observation for Estimating City-Scale Anthropogenic CO2 Emissions: A Case Study in Chengdu, Southwestern China X. Xiang et al. https://doi.org/10.3390/atmos16060713
33. Technical note: Isolating methane emissions from animal feeding operations in an interfering location M. McCabe et al. https://doi.org/10.5194/acp-23-7479-2023
34. The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology G. Wolfe et al. https://doi.org/10.5194/amt-11-1757-2018
35. Industrial point source CO2 emission strength estimation with aircraft measurements and dispersion modelling F. Carotenuto et al. https://doi.org/10.1007/s10661-018-6531-8
36. Lidar Characterization of Boundary Layer Transport and Mixing for Estimating Urban-Scale Greenhouse Gas Emissions R. Hardesty et al. https://doi.org/10.1051/epjconf/201611909001
37. Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example R. Andres et al. https://doi.org/10.5194/acp-16-14979-2016
38. A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. https://doi.org/10.5194/gmd-11-4843-2018
39. Constraining sector-specific CO2 and CH4 emissions in the US S. Miller & A. Michalak https://doi.org/10.5194/acp-17-3963-2017
40. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. https://doi.org/10.1525/elementa.188
41. Methane Emissions From the Baltimore‐Washington Area Based on Airborne Observations: Comparison to Emissions Inventories X. Ren et al. https://doi.org/10.1029/2018JD028851
42. Improvements of AI-driven emission estimation for point sources applied to high resolution 2-D methane-plume imagery T. Plewa et al. https://doi.org/10.1016/j.rse.2025.115002
43. Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar S. Krautwurst et al. https://doi.org/10.5194/acp-25-14669-2025
44. Retracted: Methane emissions from the Marcellus Shale in southwestern Pennsylvania and northern West Virginia based on airborne measurements X. Ren et al. https://doi.org/10.1002/2016JD026070
45. Application of CH4 monitoring technology based on UAV platform in Shengli Oilfield H. He et al. https://doi.org/10.3389/fenvs.2026.1746916
46. Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. https://doi.org/10.3390/drones5040117
47. Underestimation of Thermogenic Methane Emissions in New York City J. Pitt et al. https://doi.org/10.1021/acs.est.3c10307
48. A spatially explicit inventory scaling approach to estimate urban CO2 emissions K. Hajny et al. https://doi.org/10.1525/elementa.2021.00121
49. Quantification of SO2 and CO2 emission rates from coal-fired power plants in the Korean peninsula via airborne measurements J. Kim et al. https://doi.org/10.1016/j.scitotenv.2025.179430
50. Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. https://doi.org/10.1525/elementa.2023.00046
51. Comment on “Analysis of High‐Resolution Utility Data for Understanding Energy Use in Urban Systems” K. Gurney et al. https://doi.org/10.1111/jiec.12358
52. Potential of European 14CO2 observation network to estimate the fossil fuel CO2 emissions via atmospheric inversions Y. Wang et al. https://doi.org/10.5194/acp-18-4229-2018
53. New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns J. Hartmann et al. https://doi.org/10.5194/amt-11-4567-2018
54. Natural Gas Fugitive Leak Detection Using an Unmanned Aerial Vehicle: Measurement System Description and Mass Balance Approach S. Yang et al. https://doi.org/10.3390/atmos9100383
55. Ammonia and methane dairy emission plumes in the San Joaquin Valley of California from individual feedlot to regional scales D. Miller et al. https://doi.org/10.1002/2015JD023241
56. Assessing the optimized precision of the aircraft mass balance method for measurement of urban greenhouse gas emission rates through averaging A. Heimburger et al. https://doi.org/10.1525/elementa.134
57. Quantification of methane sources in the Athabasca Oil Sands Region of Alberta by aircraft mass balance S. Baray et al. https://doi.org/10.5194/acp-18-7361-2018
58. Spatial–temporal characteristics and driving factors’ contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995–2021 Y. Chu et al. https://doi.org/10.1007/s11356-024-32359-1
59. Field measurements and modeling to resolve m2 to km2 CH4 emissions for a complex urban source: An Indiana landfill study M. Cambaliza et al. https://doi.org/10.1525/elementa.145
60. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. https://doi.org/10.5194/amt-14-1525-2021
61. Methodology and Uncertainty Analysis of Methane Flux Measurement for Small Sources Based on Unmanned Aerial Vehicles D. Xu et al. https://doi.org/10.3390/drones8080366
62. Elliptic Cylinder Airborne Sampling and Geostatistical Mass Balance Approach for Quantifying Local Greenhouse Gas Emissions J. Tadić et al. https://doi.org/10.1021/acs.est.7b03100
63. Detection of Methane Leaks via Drone in Release Trials: Set-Up of the Measurement System for Flux Quantification G. Tassielli et al. https://doi.org/10.3390/su17062467
64. Airborne Assessment of Methane Emissions from Offshore Platforms in the U.S. Gulf of Mexico A. Gorchov Negron et al. https://doi.org/10.1021/acs.est.0c00179
65. Spatial and temporal variation in energy-based carbon dioxide emissions and their predictions at city scale in future, China Y. Xie et al. https://doi.org/10.1016/j.psep.2024.11.032
66. A helicopter-based mass balance approach for quantifying methane emissions from industrial activities, applied for coal mine ventilation shafts in Poland E. Förster et al. https://doi.org/10.5194/amt-18-7153-2025
67. Quantification and assessment of methane emissions from offshore oil and gas facilities on the Norwegian continental shelf A. Foulds et al. https://doi.org/10.5194/acp-22-4303-2022
68. Ozone Pollution in the North China Plain during the 2016 Air Chemistry Research in Asia (ARIAs) Campaign: Observations and a Modeling Study H. He et al. https://doi.org/10.3390/air2020011
69. Observations of Methane Emissions from Natural Gas-Fired Power Plants K. Hajny et al. https://doi.org/10.1021/acs.est.9b01875
70. Measurement report: Temporal variability of vertical profiles of CO2 and CH4 over an urban environment M. Zimnoch et al. https://doi.org/10.5194/acp-26-7061-2026
71. Quantifying methane emissions from natural gas production in north-eastern Pennsylvania Z. Barkley et al. https://doi.org/10.5194/acp-17-13941-2017
72. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes D. Varon et al. https://doi.org/10.5194/amt-11-5673-2018
73. Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area K. Mueller et al. https://doi.org/10.1002/2017JD027364
74. Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC–Baltimore Metropolitan Area Using an Inverse Modeling Technique I. Lopez-Coto et al. https://doi.org/10.1021/acs.est.9b06619
75. Methane Emissions from the Marcellus Shale in Southwestern Pennsylvania and Northern West Virginia Based on Airborne Measurements X. Ren et al. https://doi.org/10.1029/2018JD029690
76. Spatial and temporal patterns of methane uptake in the urban environment Y. Bezyk et al. https://doi.org/10.1016/j.uclim.2021.101073
77. Measured Canadian oil sands CO2 emissions are higher than estimates made using internationally recommended methods J. Liggio et al. https://doi.org/10.1038/s41467-019-09714-9
78. Assessing the bias and uncertainties in the aircraft mass balance technique for the determination of carbon dioxide emission rates K. Hajny et al. https://doi.org/10.1525/elementa.2022.00135
79. An Unmanned Aerial Vehicle (UAV)-Based Methane Quantification Method for Oil and Gas Sites D. Xu et al. https://doi.org/10.3390/drones9110785
80. The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA) K. Gurney et al. https://doi.org/10.5194/essd-11-1309-2019
81. Optimizing an airborne mass-balance methodology for accurate emission rate quantification of industrial facilities: A case study of industrial facilities in South Korea G. Wong et al. https://doi.org/10.1016/j.scitotenv.2023.169204
82. Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al. https://doi.org/10.5194/acp-25-13831-2025
83. Three-dimensional localization of gas leakage using acoustic holography L. Li et al. https://doi.org/10.1016/j.ymssp.2022.108952
84. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. https://doi.org/10.1525/elementa.2021.00082
85. Spatiotemporal Variability of Methane Emissions at Oil and Natural Gas Operations in the Eagle Ford Basin T. Lavoie et al. https://doi.org/10.1021/acs.est.7b00814
86. Quantification of fossil fuel CO2 from combined CO, δ13CO2 and Δ14CO2 observations J. Kim et al. https://doi.org/10.5194/acp-23-14425-2023
87. Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach A. Wigle et al. https://doi.org/10.1021/acsestair.4c00030
88. Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. https://doi.org/10.1021/acsenvironau.2c00013
89. Background heterogeneity and other uncertainties in estimating urban methane flux: results from the Indianapolis Flux Experiment (INFLUX) N. Balashov et al. https://doi.org/10.5194/acp-20-4545-2020
90. Relative flux measurements of biogenic and natural gas-derived methane for seven U.S. cities C. Floerchinger et al. https://doi.org/10.1525/elementa.2021.000119
91. Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. https://doi.org/10.5194/gmd-16-4835-2023
92. Differential column measurements using compact solar-tracking spectrometers J. Chen et al. https://doi.org/10.5194/acp-16-8479-2016
93. Quantification of CO2 and CH4 emissions over Sacramento, California, based on divergence theorem using aircraft measurements J. Ryoo et al. https://doi.org/10.5194/amt-12-2949-2019
94. Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation C. Cho et al. https://doi.org/10.1525/elementa.2021.00015
95. MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. https://doi.org/10.1016/j.rse.2021.112809
96. Seasonally varying contributions to urban CO2 in the Chicago, Illinois, USA region: Insights from a high-resolution CO2 concentration and δ13C record J. Moore et al. https://doi.org/10.12952/journal.elementa.000052
97. Reducing errors in aircraft atmospheric inversion estimates of point-source emissions: the Aliso Canyon natural gas leak as a natural tracer experiment S. Gourdji et al. https://doi.org/10.1088/1748-9326/aab049
98. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. https://doi.org/10.1525/elementa.138
99. Estimating Regional Methane Emission Factors from Energy and Agricultural Sector Sources Using a Portable Measurement System: Case Study of the Denver–Julesburg Basin S. Riddick et al. https://doi.org/10.3390/s22197410
100. Regional trace-gas source attribution using a field-deployed dual frequency comb spectrometer S. Coburn et al. https://doi.org/10.1364/OPTICA.5.000320
101. Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations M. Gordon et al. https://doi.org/10.5194/amt-8-3745-2015
102. Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL D. Brunner et al. https://doi.org/10.5194/acp-25-14387-2025
103. Advances in urban greenhouse gas flux quantification: The Indianapolis Flux Experiment (INFLUX) J. Whetstone & D. Helmig https://doi.org/10.1525/elementa.282
104. Quantification and control of gaseous emissions from solid waste landfill surfaces D. Huang et al. https://doi.org/10.1016/j.jenvman.2021.114001
105. Street-level methane emissions of Bucharest, Romania and the dominance of urban wastewater. J. Fernandez et al. https://doi.org/10.1016/j.aeaoa.2022.100153
106. Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5194/amt-19-3333-2026
107. Determination of the emission rates of CO2 point sources with airborne lidar S. Wolff et al. https://doi.org/10.5194/amt-14-2717-2021
108. Aerial estimates of methane and carbon dioxide emission rates using a mass balance approach in New York State A. Catena et al. https://doi.org/10.5194/essd-17-4555-2025
109. Reconciling the differences between a bottom-up and inverse-estimated FFCO2 emissions estimate in a large US urban area K. Gurney et al. https://doi.org/10.1525/elementa.137
110. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. https://doi.org/10.3390/atmos8050090