86 citations as recorded by crossref.

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3. A global review of the state of the evidence of household air pollution's contribution to ambient fine particulate matter and their related health impacts S. Chowdhury et al. 10.1016/j.envint.2023.107835
4. Scenarios for Reducing Greenhouse Gas Emissions from Food Procurement for Public School Kitchens in Copenhagen A. Prag et al. 10.3390/su151713002
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8. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
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10. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
11. A Monte Carlo Method for Quantifying Uncertainties in the Official Greenhouse Gas Emission Factors Database of Costa Rica G. Molina-Castro 10.3389/fenvs.2022.896256
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13. Impact of carbon charge policy on mode shifts in public transportation C. Zhao et al. 10.1016/j.trd.2024.104491
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15. Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
16. Global nitrous oxide emissions from livestock manure during 1890–2020: An IPCC tier 2 inventory L. Zhang et al. 10.1111/gcb.17303
17. The impacts of technological changes and regulatory frameworks on global air pollutant emissions from the energy industry and road transport G. Oreggioni et al. 10.1016/j.enpol.2022.113021
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19. Bi-level multi-objective optimization for a hybrid carbon pricing initiative towards biomass co-firing with coal Q. Huang & Q. Feng 10.1016/j.renene.2024.121829
20. Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach A. Wigle et al. 10.1021/acsestair.4c00030
21. Mapping PM2.5 Sources and Emission Management Options for Bishkek, Kyrgyzstan S. Guttikunda et al. 10.3390/air2040021
22. Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
23. Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. 10.1088/1748-9326/acc118
24. Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al. 10.1016/j.atmosenv.2024.120675
25. Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
26. Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. 10.5572/KOSAE.2024.40.3.361
27. Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
28. Study on carbon emission characteristics and its influencing factors of energy consumption in Sichuan Province, China Q. Li et al. 10.3389/fenvs.2024.1414730
29. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
30. Efficacy of the CO Tracer Technique in Partitioning Biogenic and Anthropogenic Atmospheric CO2 Signals in the Humid Subtropical Eastern Highland Rim City of Cookeville, Tennessee W. Gichuhi & L. Gamage 10.3390/atmos14020208
31. Remote Operation of an Open-Path, Laser-Based Instrument for Atmospheric CO2 and CH4 Monitoring P. Siozos et al. 10.3390/photonics10040386
32. The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
33. Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018 S. Guttikunda 10.3390/su16156298
34. Carbon emission quantification and reduction in pavement use phase: A review L. Zhu et al. 10.1016/j.jtte.2023.09.004
35. Fugitive Emissions from Mobile Sources—Experimental Analysis in Buses Regulated by the Euro 5 Standard A. Caetano et al. 10.3390/atmos14040613
36. Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020 N. Chandra et al. 10.1038/s43247-024-01286-x
37. Air pollutant emissions from global food systems are responsible for environmental impacts, crop losses and mortality M. Crippa et al. 10.1038/s43016-022-00615-7
38. A high-resolution gridded inventory of coal mine methane emissions for India and Australia P. Sadavarte et al. 10.1525/elementa.2021.00056
39. Trends in atmospheric pollution in the Third Pole: analyses of tropospheric NO2 for the period 2005–2020 B. Sharma et al. 10.1039/D2EA00075J
40. Quantification of methane emission rate from oil and gas wells in Romania using ground-based measurement techniques P. Korbeń et al. 10.1525/elementa.2022.00070
41. Magnitude and seasonal variation of N2O and CH4 emissions over a mixed agriculture-urban region X. Tong et al. 10.1016/j.agrformet.2023.109433
42. Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations S. Karbasi et al. 10.1016/j.atmosres.2024.107818
43. Estimating CO2 emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
44. Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method Y. Zhang et al. 10.1016/j.scitotenv.2024.175177
45. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies M. Crippa et al. 10.5194/essd-15-2667-2023
46. CoCO2-MOSAIC 1.0: a global mosaic of regional, gridded, fossil, and biofuel CO2 emission inventories R. Urraca et al. 10.5194/essd-16-501-2024
47. Mapping a High-Resolution Anthropogenic CO2 Emissions Inventory at City-Level Using Point-Line-Area Method S. Liu et al. 10.1007/s41810-024-00265-1
48. The booming non-food bioeconomy drives large share of global land-use emissions S. Wang et al. 10.1016/j.gloenvcha.2023.102760
49. Six years of continuous carbon isotope composition measurements of methane in Heidelberg (Germany) – a study of source contributions and comparison to emission inventories A. Hoheisel & M. Schmidt 10.5194/acp-24-2951-2024
50. An assessment of China’s methane mitigation potential and costs and uncertainties through 2060 N. Khanna et al. 10.1038/s41467-024-54038-y
51. KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N<sub>2</sub>O emission using data from mesocosm experiments L. Liu et al. 10.5194/gmd-15-2839-2022
52. Toward a satellite-based monitoring system for urban CO2 emissions in support of global collective climate mitigation actions T. Wilmot et al. 10.1088/1748-9326/ad6017
53. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
54. Continuous atmospheric in-situ measurements of the CH4/CO ratio at the Mt. Cimone station (Italy, 2165 m a.s.l.) and their possible use for estimating regional CH4 emissions C. Fratticioli et al. 10.1016/j.envres.2023.116343
55. Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers E. Germain-Piaulenne et al. 10.1016/j.aeaoa.2024.100253
56. The spatial impacts of the circular economy on carbon intensity - new evidence from the super-efficient SBM-DEA model P. Chen 10.1177/0958305X221125125
57. Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
58. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. 10.5194/essd-13-5213-2021
59. Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
60. Economics of Crop Residue Management V. Krishna & M. Mkondiwa 10.1146/annurev-resource-101422-090019
61. CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling J. Kuenen et al. 10.5194/essd-14-491-2022
62. Implications of a Climate-Smart Approach to Food and Income Security for Urban Sub-Saharan Africa: A Systematic Review N. Khumalo et al. 10.3390/su16051882
63. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al. 10.1080/15275922.2023.2297437
64. The research hotspots and trends of volatile organic compound emissions from anthropogenic and natural sources: A systematic quantitative review C. Duan et al. 10.1016/j.envres.2022.114386
65. Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
66. Environmental Policy vs. the Reality of Greenhouse Gas Emissions from Top Emitting Countries N. Portillo Juan et al. 10.3390/en17225705
67. Climate change in a changing world: Socio-economic and technological transitions, regulatory frameworks and trends on global greenhouse gas emissions from EDGAR v.5.0 G. Oreggioni et al. 10.1016/j.gloenvcha.2021.102350
68. Implications of ozone transport on air quality in the Sichuan Basin, China Y. Zhang et al. 10.1007/s11356-024-33991-7
69. Near-real-time global gridded daily CO2 emissions 2021 X. Dou et al. 10.1038/s41597-023-01963-0
70. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
71. Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
72. Identifying a Country’s Freight Transport-Intensive Economic Sectors and Their Logistics Emissions—Method Development and Exemplary Evaluation with Austria P. Miklautsch et al. 10.3390/su142215050
73. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
74. Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants E. Kimei et al. 10.3390/su16052219
75. Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting J. Cooper et al. 10.1039/D1EA00046B
76. Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China C. Hu et al. 10.5194/acp-23-4501-2023
77. Carbon Monitor Europe near-real-time daily CO2 emissions for 27 EU countries and the United Kingdom P. Ke et al. 10.1038/s41597-023-02284-y
78. Assessing the methane mitigation potential of innovative management in US rice production C. Reavis et al. 10.1088/1748-9326/ad0925
79. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. 10.1021/acsestair.4c00072
80. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
81. Tracking unaccounted greenhouse gas emissions due to the war in Ukraine since 2022 R. Bun et al. 10.1016/j.scitotenv.2024.169879
82. Estimating the uncertainty of the greenhouse gas emission accounts in global multi-regional input–output analysis S. Schulte et al. 10.5194/essd-16-2669-2024
83. Quantification of methane emissions in Hamburg using a network of FTIR spectrometers and an inverse modeling approach A. Forstmaier et al. 10.5194/acp-23-6897-2023
84. Forward and Inverse Modelling of Atmospheric Nitrous Oxide Using MIROC4-Atmospheric Chemistry-Transport Model P. PATRA et al. 10.2151/jmsj.2022-018
85. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
86. Food systems are responsible for a third of global anthropogenic GHG emissions M. Crippa et al. 10.1038/s43016-021-00225-9