61 citations as recorded by crossref.

1. Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
2. Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
3. 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
4. Using satellites to uncover large methane emissions from landfills J. Maasakkers et al. 10.1126/sciadv.abn9683
5. A New Divergence Method to Quantify Methane Emissions Using Observations of Sentinel‐5P TROPOMI M. Liu et al. 10.1029/2021GL094151
6. A gridded inventory of Canada’s anthropogenic methane emissions T. Scarpelli et al. 10.1088/1748-9326/ac40b1
7. China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
8. Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
9. Direct measurement of methane emissions from the upstream oil and gas sector: Review of measurement results and technology advances (2018–2022) X. Yang et al. 10.1016/j.jclepro.2023.137693
10. Decreasing methane emissions from China’s coal mining with rebounded coal production J. Gao et al. 10.1088/1748-9326/ac38d8
11. Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) observations X. Lu et al. 10.5194/acp-21-4637-2021
12. Evaluation of comprehensive monthly-gridded methane emissions from natural and anthropogenic sources in China S. Gong & Y. Shi 10.1016/j.scitotenv.2021.147116
13. Systematic detection of local CH<sub>4</sub> anomalies by combining satellite measurements with high-resolution forecasts J. Barré et al. 10.5194/acp-21-5117-2021
14. Aircraft-based mass balance estimate of methane emissions from offshore gas facilities in the southern North Sea M. Pühl et al. 10.5194/acp-24-1005-2024
15. Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
16. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
17. Active and inactive oil and gas sites contribute to methane emissions in western Saskatchewan, Canada J. Vogt et al. 10.1525/elementa.2022.00014
18. Coal seam gas industry methane emissions in the Surat Basin, Australia: comparing airborne measurements with inventories B. Neininger et al. 10.1098/rsta.2020.0458
19. Flaring efficiencies and NOx emission ratios measured for offshore oil and gas facilities in the North Sea J. Shaw et al. 10.5194/acp-23-1491-2023
20. 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
21. Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations T. Scarpelli et al. 10.5194/acp-22-3235-2022
22. Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
23. 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
24. A high-resolution gridded inventory of coal mine methane emissions for India and Australia P. Sadavarte et al. 10.1525/elementa.2021.00056
25. 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
26. Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. 10.5194/amt-17-5261-2024
27. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
28. Remarkable Spatial Disparity of Life Cycle Inventory for Coal Production in China Y. Zhang et al. 10.1021/acs.est.3c01860
29. Aircraft-derived CH4 emissions from surface and in-situ mining activities in the Alberta oil sands region R. Staebler et al. 10.1016/j.aeaoa.2024.100280
30. Estimating potential oil spill trajectories and coastal impacts from near-shore storage facilities: A case study of FSO Nabarima and the Gulf of Paria T. Grubesic & J. Nelson 10.1016/j.ijdrr.2022.103117
31. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
32. Street-level methane emissions of Bucharest, Romania and the dominance of urban wastewater. J. Fernandez et al. 10.1016/j.aeaoa.2022.100153
33. Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
34. Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments Z. Qu et al. 10.5194/acp-21-14159-2021
35. Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
36. Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
37. 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
38. Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
39. Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
40. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
41. Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins L. Shen et al. 10.5194/acp-22-11203-2022
42. Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States D. Cusworth et al. 10.1073/pnas.2202338119
43. High-frequency monitoring of anomalous methane point sources with multispectral Sentinel-2 satellite observations D. Varon et al. 10.5194/amt-14-2771-2021
44. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
45. Near-Infrared Laser Methane Remote Monitoring Based on Template Matching Algorithm of Harmonic Signals Y. Li et al. 10.3390/photonics10101075
46. Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
47. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations P. Sadavarte et al. 10.1021/acs.est.1c03976
48. 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
49. East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
50. Hydrocarbon Tracers Suggest Methane Emissions from Fossil Sources Occur Predominately Before Gas Processing and That Petroleum Plays Are a Significant Source A. Tribby et al. 10.1021/acs.est.2c00927
51. Minimum detection limits of the TROPOMI satellite sensor across North America and their implications for measuring oil and gas methane emissions L. Dubey et al. 10.1016/j.scitotenv.2023.162222
52. 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
53. Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-24-4875-2024
54. Trends and variability in methane concentrations over the Southeastern Arabian Peninsula D. Francis et al. 10.3389/fenvs.2023.1177877
55. High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile N. Álamos et al. 10.5194/essd-14-361-2022
56. The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
57. Sustained methane emissions from China after 2012 despite declining coal production and rice-cultivated area J. Sheng et al. 10.1088/1748-9326/ac24d1
58. Mapping Urban Methane Sources in Paris, France S. Defratyka et al. 10.1021/acs.est.1c00859
59. Unintended mitigation benefits of China's coal de-capacity policies on methane emissions J. Guo et al. 10.1016/j.enpol.2023.113718
60. Satellite Discovery of Anomalously Large Methane Point Sources From Oil/Gas Production D. Varon et al. 10.1029/2019GL083798
61. Satellites Detect Abatable Super-Emissions in One of the World’s Largest Methane Hotspot Regions I. Irakulis-Loitxate et al. 10.1021/acs.est.1c04873