90 citations as recorded by crossref.

1. Advanced Leak Detection and Quantification of Methane Emissions Using sUAS D. Hollenbeck et al. 10.3390/drones5040117
2. A spatially explicit inventory scaling approach to estimate urban CO2 emissions K. Hajny et al. 10.1525/elementa.2021.00121
3. Examination of geostatistical and machine-learning techniques as interpolators in anisotropic atmospheric environments J. Tadić et al. 10.1016/j.atmosenv.2015.03.063
4. Top‐Down Estimates of NOx and CO Emissions From Washington, D.C.‐Baltimore During the WINTER Campaign O. Salmon et al. 10.1029/2018JD028539
5. Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. 10.1525/elementa.2023.00046
6. High‐resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX) T. Lauvaux et al. 10.1002/2015JD024473
7. Comment on “Analysis of High‐Resolution Utility Data for Understanding Energy Use in Urban Systems” K. Gurney et al. 10.1111/jiec.12358
8. Airborne remote sensing and in situ measurements of atmospheric CO<sub>2</sub> to quantify point source emissions T. Krings et al. 10.5194/amt-11-721-2018
9. Potential of European <sup>14</sup>CO<sub>2</sub> observation network to estimate the fossil fuel CO<sub>2</sub> emissions via atmospheric inversions Y. Wang et al. 10.5194/acp-18-4229-2018
10. 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. 10.1525/elementa.127
11. New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns J. Hartmann et al. 10.5194/amt-11-4567-2018
12. Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019 M. Makarova et al. 10.5194/amt-14-1047-2021
13. Natural Gas Fugitive Leak Detection Using an Unmanned Aerial Vehicle: Measurement System Description and Mass Balance Approach S. Yang et al. 10.3390/atmos9100383
14. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
15. Ammonia and methane dairy emission plumes in the San Joaquin Valley of California from individual feedlot to regional scales D. Miller et al. 10.1002/2015JD023241
16. Diurnal Variation of CO₂ Flux in an Urban Area of Tokyo T. Hirano et al. 10.2151/sola.2015-024
17. Assessing the optimized precision of the aircraft mass balance method for measurement of urban greenhouse gas emission rates through averaging A. Heimburger et al. 10.1525/elementa.134
18. Methods for quantifying methane emissions using unmanned aerial vehicles: a review J. Shaw et al. 10.1098/rsta.2020.0450
19. Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
20. Quantification of methane sources in the Athabasca Oil Sands Region of Alberta by aircraft mass balance S. Baray et al. 10.5194/acp-18-7361-2018
21. Spatial–temporal characteristics and driving factors’ contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995–2021 Y. Chu et al. 10.1007/s11356-024-32359-1
22. Identifying under-characterized atmospheric methane emission sources in Western Maryland H. Li et al. 10.1016/j.atmosenv.2019.117053
23. Field measurements and modeling to resolve m2 to km2 CH4 emissions for a complex urban source: An Indiana landfill study M. Cambaliza et al. 10.1525/elementa.145
24. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
25. Elliptic Cylinder Airborne Sampling and Geostatistical Mass Balance Approach for Quantifying Local Greenhouse Gas Emissions J. Tadić et al. 10.1021/acs.est.7b03100
26. Airborne Assessment of Methane Emissions from Offshore Platforms in the U.S. Gulf of Mexico A. Gorchov Negron et al. 10.1021/acs.est.0c00179
27. Methane emissions from a Californian landfill, determined from airborne remote sensing and in situ measurements S. Krautwurst et al. 10.5194/amt-10-3429-2017
28. Quantification and assessment of methane emissions from offshore oil and gas facilities on the Norwegian continental shelf A. Foulds et al. 10.5194/acp-22-4303-2022
29. Assessing London CO<sub>2</sub>, CH<sub>4</sub> and CO emissions using aircraft measurements and dispersion modelling J. Pitt et al. 10.5194/acp-19-8931-2019
30. Enhanced reaction extraction distillation via multi-objective optimization and 4E analysis for sustainable recovery of organic compounds from wastewater Y. Wang et al. 10.1016/j.psep.2024.04.064
31. Methane emissions from dairies in the Los Angeles Basin C. Viatte et al. 10.5194/acp-17-7509-2017
32. Observations of Methane Emissions from Natural Gas-Fired Power Plants K. Hajny et al. 10.1021/acs.est.9b01875
33. Quantifying methane emissions from natural gas production in north-eastern Pennsylvania Z. Barkley et al. 10.5194/acp-17-13941-2017
34. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes D. Varon et al. 10.5194/amt-11-5673-2018
35. 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. 10.1002/2017JD027364
36. Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC–Baltimore Metropolitan Area Using an Inverse Modeling Technique I. Lopez-Coto et al. 10.1021/acs.est.9b06619
37. Methane Emissions from the Marcellus Shale in Southwestern Pennsylvania and Northern West Virginia Based on Airborne Measurements X. Ren et al. 10.1029/2018JD029690
38. Spatial and temporal patterns of methane uptake in the urban environment Y. Bezyk et al. 10.1016/j.uclim.2021.101073
39. Measured Canadian oil sands CO2 emissions are higher than estimates made using internationally recommended methods J. Liggio et al. 10.1038/s41467-019-09714-9
40. Assessing the bias and uncertainties in the aircraft mass balance technique for the determination of carbon dioxide emission rates K. Hajny et al. 10.1525/elementa.2022.00135
41. The Hestia fossil fuel CO<sub>2</sub> emissions data product for the Los Angeles megacity (Hestia-LA) K. Gurney et al. 10.5194/essd-11-1309-2019
42. 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. 10.1016/j.scitotenv.2023.169204
43. Methane, carbon dioxide, hydrogen sulfide, and isotopic ratios of methane observations from the Permian Basin tower network V. Monteiro et al. 10.5194/essd-14-2401-2022
44. Tower-based greenhouse gas measurement network design—The National Institute of Standards and Technology North East Corridor Testbed I. Lopez-Coto et al. 10.1007/s00376-017-6094-6
45. Three-dimensional localization of gas leakage using acoustic holography L. Li et al. 10.1016/j.ymssp.2022.108952
46. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
47. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO<sub>2</sub> monitoring in urban areas E. Arzoumanian et al. 10.5194/amt-12-2665-2019
48. Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs T. Chai et al. 10.5194/acp-23-12907-2023
49. Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model S. Fathi et al. 10.5194/acp-21-15461-2021
50. Methane emissions from oil and gas production on the North Slope of Alaska C. Floerchinger et al. 10.1016/j.atmosenv.2019.116985
51. Spatiotemporal Variability of Methane Emissions at Oil and Natural Gas Operations in the Eagle Ford Basin T. Lavoie et al. 10.1021/acs.est.7b00814
52. Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
53. Quantification of fossil fuel CO2 from combined CO, δ13CO2 and Δ14CO2 observations J. Kim et al. 10.5194/acp-23-14425-2023
54. 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. 10.1525/elementa.411
55. Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
56. Assessing the Methane Emissions from Natural Gas-Fired Power Plants and Oil Refineries T. Lavoie et al. 10.1021/acs.est.6b05531
57. Quantifying CH<sub>4</sub> emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry A. Luther et al. 10.5194/amt-12-5217-2019
58. 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. 10.5194/acp-14-13159-2014
59. Background heterogeneity and other uncertainties in estimating urban methane flux: results from the Indianapolis Flux Experiment (INFLUX) N. Balashov et al. 10.5194/acp-20-4545-2020
60. Relative flux measurements of biogenic and natural gas-derived methane for seven U.S. cities C. Floerchinger et al. 10.1525/elementa.2021.000119
61. Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
62. Differential column measurements using compact solar-tracking spectrometers J. Chen et al. 10.5194/acp-16-8479-2016
63. Quantification of CO<sub>2</sub> and CH<sub>4</sub> emissions over Sacramento, California, based on divergence theorem using aircraft measurements J. Ryoo et al. 10.5194/amt-12-2949-2019
64. 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. 10.1525/elementa.2021.00015
65. Technical note: Isolating methane emissions from animal feeding operations in an interfering location M. McCabe et al. 10.5194/acp-23-7479-2023
66. MethaNet – An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.1016/j.rse.2021.112809
67. The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology G. Wolfe et al. 10.5194/amt-11-1757-2018
68. 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. 10.12952/journal.elementa.000052
69. 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. 10.1088/1748-9326/aab049
70. 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. 10.1525/elementa.138
71. 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. 10.3390/s22197410
72. Industrial point source CO2 emission strength estimation with aircraft measurements and dispersion modelling F. Carotenuto et al. 10.1007/s10661-018-6531-8
73. Lidar Characterization of Boundary Layer Transport and Mixing for Estimating Urban-Scale Greenhouse Gas Emissions R. Hardesty et al. 10.1051/epjconf/201611909001
74. Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example R. Andres et al. 10.5194/acp-16-14979-2016
75. Regional trace-gas source attribution using a field-deployed dual frequency comb spectrometer S. Coburn et al. 10.1364/OPTICA.5.000320
76. A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
77. Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations M. Gordon et al. 10.5194/amt-8-3745-2015
78. Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
79. Advances in urban greenhouse gas flux quantification: The Indianapolis Flux Experiment (INFLUX) J. Whetstone & D. Helmig 10.1525/elementa.282
80. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. 10.1525/elementa.188
81. Quantification and control of gaseous emissions from solid waste landfill surfaces D. Huang et al. 10.1016/j.jenvman.2021.114001
82. Street-level methane emissions of Bucharest, Romania and the dominance of urban wastewater. J. Fernandez et al. 10.1016/j.aeaoa.2022.100153
83. Methane Emissions From the Baltimore‐Washington Area Based on Airborne Observations: Comparison to Emissions Inventories X. Ren et al. 10.1029/2018JD028851
84. Determination of the emission rates of CO<sub>2</sub> point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
85. Reconciling the differences between a bottom-up and inverse-estimated FFCO2 emissions estimate in a large US urban area K. Gurney et al. 10.1525/elementa.137
86. Retracted: Methane emissions from the Marcellus Shale in southwestern Pennsylvania and northern West Virginia based on airborne measurements X. Ren et al. 10.1002/2016JD026070
87. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. 10.3390/atmos8050090
88. What is the role for carbon cycle science in the proposed EPA power plant rule? K. Gurney 10.1186/s40322-015-0028-1
89. A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems V. Yadav et al. 10.1002/2016JD025642
90. Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX) J. Turnbull et al. 10.1021/acs.est.8b05552