102 citations as recorded by crossref.

1. Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model L. Stamenković et al. 10.1007/s11869-016-0403-6
2. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
3. Delaying methane mitigation increases the risk of breaching the 2 °C warming limit C. Nzotungicimpaye et al. 10.1038/s43247-023-00898-z
4. Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al. 10.5194/acp-24-2129-2024
5. Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock J. Wolf et al. 10.1186/s13021-017-0084-y
6. Carbon in global waste and wastewater flows – its potential as energy source under alternative future waste management regimes A. Gómez-Sanabria et al. 10.5194/adgeo-45-105-2018
7. Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF M. Nambiar et al. 10.3390/atmos11111227
8. Impact of Tropospheric Ozone on Summer Climate in China S. Li et al. 10.1007/s13351-018-7094-x
9. Long-term marginal abatement cost curves of non-CO2 greenhouse gases J. Harmsen et al. 10.1016/j.envsci.2019.05.013
10. Can we separate industrial CH4 emission sources from atmospheric observations? - A test case for carbon isotopes, PMF and enhanced APCA S. Assan et al. 10.1016/j.atmosenv.2018.05.004
11. Tracing the climate signal: mitigation of anthropogenic methane emissions can outweigh a large Arctic natural emission increase T. Christensen et al. 10.1038/s41598-018-37719-9
12. Comparison of models for estimating methane emission factor for enteric fermentation of growing-finishing Hanwoo steers N. Jo et al. 10.1186/s40064-016-2889-7
13. The Energy Modeling Forum (EMF)-30 study on short-lived climate forcers: introduction and overview S. Smith et al. 10.1007/s10584-020-02938-5
14. Country-specific net-zero strategies of the pulp and paper industry M. Dai et al. 10.1038/s41586-023-06962-0
15. An assessment of China’s methane mitigation potential and costs and uncertainties through 2060 N. Khanna et al. 10.1038/s41467-024-54038-y
16. Quantification and prediction of enteric methane emissions from Chinese lactating Holstein dairy cows fed diets with different dietary neutral detergent fiber/non-fibrous carbohydrate (NDF/NFC) ratios L. DONG et al. 10.1016/S2095-3119(21)63825-X
17. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
18. Atmospheric methane evolution the last 40 years S. Dalsøren et al. 10.5194/acp-16-3099-2016
19. Global natural and anthropogenic methane emissions with approaches, potentials, economic costs, and social benefits of reductions: Review and outlook Z. Qi & R. Feng 10.1016/j.jenvman.2024.123568
20. Food systems in a zero-deforestation world: Dietary change is more important than intensification for climate targets in 2050 M. Theurl et al. 10.1016/j.scitotenv.2020.139353
21. China's CH4 emissions from coal mining: A review of current bottom-up inventories J. Gao et al. 10.1016/j.scitotenv.2020.138295
22. Global Methane Emissions from Pit Latrines M. Reid et al. 10.1021/es501549h
23. A Source-Level Estimation and Uncertainty Analysis of Methane Emission in China’s Oil and Natural Gas Sector S. Sun et al. 10.3390/en15103684
24. Environmental discounts for Swedish ports and fairways: A ship owner perspective R. Parsmo et al. 10.1016/j.marpol.2023.105950
25. The methane footprint of nations: Stylized facts from a global panel dataset O. Fernández-Amador et al. 10.1016/j.ecolecon.2019.106528
26. Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
27. Global methane emissions from coal mining to continue growing even with declining coal production N. Kholod et al. 10.1016/j.jclepro.2020.120489
28. Analyzing long-term dynamics of agricultural greenhouse gas emissions in Austria, 1830–2018 C. Lauk et al. 10.1016/j.scitotenv.2023.168667
29. How can the EU climate targets be met? A combined analysis of technological and demand-side changes in food and agriculture D. Bryngelsson et al. 10.1016/j.foodpol.2015.12.012
30. How much can combinations of measures reduce methane and nitrous oxide emissions from European livestock husbandry and feed cultivation? S. aan den Toorn et al. 10.1016/j.jclepro.2021.127138
31. Methane mitigation potentials and related costs of China's coal mines Y. Kang et al. 10.1016/j.fmre.2023.09.012
32. The crucial role of circular waste management systems in cutting waste leakage into aquatic environments A. Gómez-Sanabria & F. Lindl 10.1038/s41467-024-49555-9
33. Why are methane emissions from China's oil & natural gas systems still unclear? A review of current bottom-up inventories J. Gao et al. 10.1016/j.scitotenv.2021.151076
34. Exploring Gaps between Bottom-Up and Top-Down Emission Estimates Based on Uncertainties in Multiple Emission Inventories: A Case Study on CH4 Emissions in China P. Cheewaphongphan et al. 10.3390/su11072054
35. Dataset of Inland Waters Nitrogen Deposition in China (1990s–2010s) L. Zhaoxi et al. 10.5814/j.issn.1674-764x.2023.03.021
36. Dynamic Methane Emissions from China’s Fossil-Fuel and Food Systems: Socioeconomic Drivers and Policy Optimization Strategies X. Wang et al. 10.1021/acs.est.4c08849
37. Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE) – concept and initial results T. Petäjä et al. 10.5194/acp-20-8551-2020
38. Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
39. 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
40. Sustainable Livestock Production in Nepal: A Focus on Animal Nutrition Strategies P. Khanal et al. 10.3390/agriculture12050679
41. Economic growth, sectoral structures, and environmental methane footprints O. Fernández-Amador et al. 10.1080/00036846.2019.1676387
42. Applications of a joint CO 2 and CH 4 climate debt metric: Insights into global patterns and mitigation priorities M. Desai et al. 10.1016/j.gloenvcha.2015.08.001
43. Emission factors and carbon emissions of methane from enteric fermentation of cattle produced under different management systems in South Africa M. Tongwane & M. Moeletsi 10.1016/j.jclepro.2020.121931
44. The social cost of methane: theory and applications D. Shindell et al. 10.1039/C7FD00009J
45. Characterization of interferences to in situ observations of δ13CH4 and C2H6 when using a cavity ring-down spectrometer at industrial sites S. Assan et al. 10.5194/amt-10-2077-2017
46. Understanding the contribution of non-carbon dioxide gases in deep mitigation scenarios D. Gernaat et al. 10.1016/j.gloenvcha.2015.04.010
47. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012 G. Janssens-Maenhout et al. 10.5194/essd-11-959-2019
48. Analysis of the Characteristics of CH4 Emissions in China’s Coal Mining Industry and Research on Emission Reduction Measures A. Zhu et al. 10.3390/ijerph19127408
49. Methanotrophy: A Biological Method to Mitigate Global Methane Emission A. Rani et al. 10.3390/microbiolres15020042
50. Modelling long-term HFC emissions from India's residential air-conditioning sector: exploring implications of alternative refrigerants, best practices, and a sustainable lifestyle within an integrated assessment modelling framework V. Chaturvedi & M. Sharma 10.1080/14693062.2015.1052954
51. Methane Concentration Forecasting Based on Sentinel-5P Products and Recurrent Neural Networks T. Psomouli et al. 10.3390/geosciences13060183
52. Advances in representing interactive methane in ModelE2-YIBs (version 1.1) K. Harper et al. 10.5194/gmd-11-4417-2018
53. Drivers of and barriers to the adoption of green fleet management practices in Zimbabwe: A case study of the funeral assurance sector T. Kachilala & S. Dumba 10.4102/jtscm.v16i0.804
54. Assessment of Sectoral Greenhouse Gas Emission Reduction Potentials for 2030 K. Blok et al. 10.3390/en13040943
55. Methane emissions from livestock in East Asia during 1961−2019 L. Zhang et al. 10.1080/20964129.2021.1918024
56. Can Switching from Coal to Shale Gas Bring Net Carbon Reductions to China? Y. Qin et al. 10.1021/acs.est.6b04072
57. Combining Biophysical Modeling and Social Theory Pledges for a Re-Embedding of the Agri-Food System in 2050 in Austria J. Le Noe et al. 10.2139/ssrn.4000332
58. Mitigating Methane: Emerging Technologies To Combat Climate Change’s Second Leading Contributor C. Pratt & K. Tate 10.1021/acs.est.7b04711
59. Contribution of circular economy strategies to climate change mitigation: Generic assessment methodology with focus on developing countries T. Serrano et al. 10.1111/jiec.13178
60. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
61. Potential for future reductions of global GHG and air pollutants from circular waste management systems A. Gómez-Sanabria et al. 10.1038/s41467-021-27624-7
62. Machine Learning to Predict Area Fugitive Emission Fluxes of GHGs from Open-Pit Mines S. Kia et al. 10.3390/atmos13020210
63. Climate change mitigation potential in sanitation via off-site composting of human waste G. McNicol et al. 10.1038/s41558-020-0782-4
64. Explosive growth in African combustion emissions from 2005 to 2030 C. Liousse et al. 10.1088/1748-9326/9/3/035003
65. The role of methane in future climate strategies: mitigation potentials and climate impacts M. Harmsen et al. 10.1007/s10584-019-02437-2
66. Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
67. Investment perspectives on costs for air pollution control affect the optimal use of emission control measures S. Åström et al. 10.1007/s10098-018-1658-4
68. Tracking China's methane emissions from wastewater: Inventories, driving forces, and mitigation potential W. Liu et al. 10.1016/j.resconrec.2024.107831
69. A high-resolution gridded inventory of coal mine methane emissions for India and Australia P. Sadavarte et al. 10.1525/elementa.2021.00056
70. A gridded inventory of anthropogenic methane emissions from Mexico based on Mexico’s national inventory of greenhouse gases and compounds T. Scarpelli et al. 10.1088/1748-9326/abb42b
71. Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al. 10.5194/acp-22-16031-2022
72. Investigating the length of data collection period with respect to rate constant in the first-order decay model H. Kim et al. 10.1007/s10163-015-0378-7
73. Shipborne measurements of methane and carbon dioxide in the Middle East and Mediterranean areas and the contribution from oil and gas emissions J. Paris et al. 10.5194/acp-21-12443-2021
74. An assessment of methane emission from the CNG cylinder testing stations in Delhi and its implication for global warming N. Singh & U. Mina 10.1007/s10661-023-10979-3
75. Application of GAINS model for assessing selected air pollutants in Khyber Pakhtunkhwa and Balochistan, Pakistan A. Khan & S. Ahmad 10.1007/s12517-018-3547-x
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. Near-term climate mitigation by short-lived forcers S. Smith & A. Mizrahi 10.1073/pnas.1308470110
78. City-Level CH4 Emissions from Anthropogenic Sources and Its Environmental Behaviors in China’s Cold Cities W. Song et al. 10.3390/atmos14030535
79. Impact of methane and other precursor emission reductions on surface ozone in Europe: scenario analysis using the European Monitoring and Evaluation Programme (EMEP) Meteorological Synthesizing Centre – West (MSC-W) model W. van Caspel et al. 10.5194/acp-24-11545-2024
80. Greenhouse Gas (GHG) Emission Estimation for Cattle: Assessing the Potential Role of Real-Time Feed Intake Monitoring J. Berdos et al. 10.3390/su152014988
81. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data A. Petrescu et al. 10.5194/essd-12-961-2020
82. Representing agriculture in Earth System Models: Approaches and priorities for development S. McDermid et al. 10.1002/2016MS000749
83. Methane emission and influencing factors of China's oil and natural gas sector in 2020–2060: A source level analysis S. Sun et al. 10.1016/j.scitotenv.2023.167116
84. Bottom-up simulations of methane and ethane emissions from global oil and gas systems 1980 to 2012 L. Höglund-Isaksson 10.1088/1748-9326/aa583e
85. 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
86. A roadmap to achieve the global methane pledge C. Malley et al. 10.1088/2752-5295/acb4b4
87. Technical potentials and costs for reducing global anthropogenic methane emissions in the 2050 timeframe –results from the GAINS model L. Höglund-Isaksson et al. 10.1088/2515-7620/ab7457
88. Influence of methane emissions on the GHG emissions of fossil fuels B. Pieprzyk & P. Hilje 10.1002/bbb.1959
89. Do methane emissions converge? Evidence from global panel data on production- and consumption-based emissions O. Fernández-Amador et al. 10.1007/s00181-021-02162-9
90. Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
91. Enrichment of low concentration methane: an overview of ventilation air methane Z. Yang et al. 10.1039/D1TA08804A
92. Uncertainty in non-CO2 greenhouse gas mitigation contributes to ambiguity in global climate policy feasibility M. Harmsen et al. 10.1038/s41467-023-38577-4
93. Preindustrial 14CH4 indicates greater anthropogenic fossil CH4 emissions B. Hmiel et al. 10.1038/s41586-020-1991-8
94. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion R. Thompson et al. 10.5194/acp-17-3553-2017
95. A global gridded (0.1° × 0.1°) inventory of methane emissions from oil, gas, and coal exploitation based on national reports to the United Nations Framework Convention on Climate Change T. Scarpelli et al. 10.5194/essd-12-563-2020
96. Opportunities beyond net-zero CO2 for cost-effective greenhouse gas mitigation in China Y. Kang et al. 10.1016/j.scib.2024.08.012
97. Methane budget of East Asia, 1990–2015: A bottom-up evaluation A. Ito et al. 10.1016/j.scitotenv.2019.04.263
98. The Contribution of Non-CO2 Greenhouse Gas Mitigation to Achieving Long-Term Temperature Goals A. Gambhir et al. 10.3390/en10050602
99. A comparative study of anthropogenic CH4 emissions over China based on the ensembles of bottom-up inventories X. Lin et al. 10.5194/essd-13-1073-2021
100. Kinetics of simultaneous methane and toluene biofiltration in an inert packed bed C. Ménard et al. 10.1002/jctb.4162
101. Comparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations G. Monteil et al. 10.1002/2013JD019760
102. EU low carbon roadmap 2050: Potentials and costs for mitigation of non-CO2 greenhouse gas emissions L. Höglund-Isaksson et al. 10.1016/j.esr.2012.05.004