80 citations as recorded by crossref.

1. Global patterns of daily CO2 emissions reductions in the first year of COVID-19 Z. Liu et al. 10.1038/s41561-022-00965-8
2. Toward carbon neutrality before 2060: Trajectory and technical mitigation potential of non-CO2 greenhouse gas emissions from Chinese agriculture M. Chen et al. 10.1016/j.jclepro.2022.133186
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
5. Predictability of fossil fuel CO2 from air quality emissions K. Miyazaki & K. Bowman 10.1038/s41467-023-37264-8
6. Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al. 10.1007/s10661-022-10323-1
7. Impact of carbon pricing on mitigation potential in Chinese agriculture: A model-based multi-scenario analysis at provincial scale Y. Deng et al. 10.1016/j.eiar.2023.107409
8. Global Covenant of Mayors, a dataset of greenhouse gas emissions for 6200 cities in Europe and the Southern Mediterranean countries A. Kona et al. 10.5194/essd-13-3551-2021
9. 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
10. 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
11. Enhancing the feed efficiency of crop residues in ruminants: a comprehensive review M. Kamal et al. 10.2478/aoas-2024-0081
12. Impact of carbon charge policy on mode shifts in public transportation C. Zhao et al. 10.1016/j.trd.2024.104491
13. Global nitrous oxide budget (1980–2020) H. Tian et al. 10.5194/essd-16-2543-2024
14. Global nitrous oxide emissions from livestock manure during 1890–2020: An IPCC tier 2 inventory L. Zhang et al. 10.1111/gcb.17303
15. 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
16. Opinion: Coordinated development of emission inventories for climate forcers and air pollutants S. Smith et al. 10.5194/acp-22-13201-2022
17. 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
18. Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach A. Wigle et al. 10.1021/acsestair.4c00030
19. Mapping PM2.5 Sources and Emission Management Options for Bishkek, Kyrgyzstan S. Guttikunda et al. 10.3390/air2040021
20. Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
21. 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
22. Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al. 10.1016/j.atmosenv.2024.120675
23. 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
24. 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
25. Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. 10.1016/j.ese.2024.100425
26. 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
27. 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
28. 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
29. Remote Operation of an Open-Path, Laser-Based Instrument for Atmospheric CO2 and CH4 Monitoring P. Siozos et al. 10.3390/photonics10040386
30. 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
31. Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018 S. Guttikunda 10.3390/su16156298
32. Carbon emission quantification and reduction in pavement use phase: A review L. Zhu et al. 10.1016/j.jtte.2023.09.004
33. Fugitive Emissions from Mobile Sources—Experimental Analysis in Buses Regulated by the Euro 5 Standard A. Caetano et al. 10.3390/atmos14040613
34. 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
35. 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
36. A high-resolution gridded inventory of coal mine methane emissions for India and Australia P. Sadavarte et al. 10.1525/elementa.2021.00056
37. Trends in atmospheric pollution in the Third Pole: analyses of tropospheric NO2 for the period 2005–2020 B. Sharma et al. 10.1039/D2EA00075J
38. 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
39. 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
40. Estimating CO2 emissions for 108 000 European cities D. Moran et al. 10.5194/essd-14-845-2022
41. 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
42. 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
43. 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
44. The booming non-food bioeconomy drives large share of global land-use emissions S. Wang et al. 10.1016/j.gloenvcha.2023.102760
45. 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
46. An assessment of China’s methane mitigation potential and costs and uncertainties through 2060 N. Khanna et al. 10.1038/s41467-024-54038-y
47. 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
48. 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
49. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
50. 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
51. 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
52. The spatial impacts of the circular economy on carbon intensity - new evidence from the super-efficient SBM-DEA model P. Chen 10.1177/0958305X221125125
53. 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
54. 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
55. Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
56. Economics of Crop Residue Management V. Krishna & M. Mkondiwa 10.1146/annurev-resource-101422-090019
57. 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
58. 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
59. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al. 10.1080/15275922.2023.2297437
60. 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
61. 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
62. 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
63. Implications of ozone transport on air quality in the Sichuan Basin, China Y. Zhang et al. 10.1007/s11356-024-33991-7
64. Near-real-time global gridded daily CO2 emissions 2021 X. Dou et al. 10.1038/s41597-023-01963-0
65. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. Assessing the methane mitigation potential of innovative management in US rice production C. Reavis et al. 10.1088/1748-9326/ad0925
74. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
75. Tracking unaccounted greenhouse gas emissions due to the war in Ukraine since 2022 R. Bun et al. 10.1016/j.scitotenv.2024.169879
76. 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
77. 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
78. Forward and Inverse Modelling of Atmospheric Nitrous Oxide Using MIROC4-Atmospheric Chemistry-Transport Model P. PATRA et al. 10.2151/jmsj.2022-018
79. 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
80. Food systems are responsible for a third of global anthropogenic GHG emissions M. Crippa et al. 10.1038/s43016-021-00225-9