57 citations as recorded by crossref.

1. Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector J. Williams et al.
2. A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al.
3. Efficient use of a Lagrangian particle dispersion model for atmospheric inversions using satellite observations of column mixing ratios R. Thompson et al.
4. City-scale methane emissions from the midstream oil and gas industry: A satellite survey of the Zhoushan archipelago X. Yang et al.
5. CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al.
6. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al.
7. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al.
8. Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al.
9. Monthly methane emissions in Chinese mainland provinces from 2013–2022 D. Cui et al.
10. Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al.
11. Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al.
12. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al.
13. Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al.
14. Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al.
15. Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3 T. Scarpelli et al.
16. Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
17. A global review of methane policies reveals that only 13% of emissions are covered with unclear effectiveness M. Olczak et al.
18. A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al.
19. Satellite methane and ammonia observations consistently show substantial increases in pan-tropical livestock emissions G. Tang et al.
20. Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al.
21. Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al.
22. Long-term changes in city-level CH4 emissions from rice cultivation in China: Patterns, drivers, projections, and sustainable pathways S. Liang et al.
23. New measurements indicate that natural geologic methane emissions from microseepage in the Michigan Basin are likely negligible K. Hall et al.
24. 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.
25. Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations S. Hancock et al.
26. Unveiling the drivers of atmospheric methane variability in Iran: A 20-year exploration using spatiotemporal modeling and machine learning S. Mousavi et al.
27. Changes in tropospheric air quality related to the protection of stratospheric ozone in a changing climate S. Madronich et al.
28. Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis S. Pandey et al.
29. Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al.
30. The Carbon Mapper emissions monitoring system R. Duren et al.
31. A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al.
32. A global inventory of methane emissions from abandoned oil and gas wells and possible mitigation pathways T. Lei et al.
33. Emerging Trends, Sectoral, and Regional Patterns in China’s Methane Emissions: A Satellite-Constrained Perspective D. Chen et al.
34. The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al.
35. An Unexpected Seasonal Cycle in U.S. Oil and Gas Methane Emissions L. Hu et al.
36. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al.
37. Structural shifts in China’s oil and gas CH4 emissions with implications for mitigation efforts J. Luo et al.
38. Precise Monitoring and Source Analysis of Fugitive GHG Emissions: A Case Study of Nansha, Guangdong Y. Hu et al.
39. Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al.
40. 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.
41. Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al.
42. North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al.
43. Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al.
44. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al.
45. The Greenhouse gas Emission Monitoring network to Inform Net-zero Initiatives UK (GEMINI-UK): network design, theoretical performance, and initial data A. Kurganskiy et al.
46. Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al.
47. The greenhouse gas budget for China's terrestrial ecosystems X. Wang et al.
48. Assessing the methane mitigation potential of innovative management in US rice production C. Reavis et al.
49. A high-resolution hourly XCO 2 dataset for eastern China (2016–2020) based on WRF-Chem simulations and multi-source validation W. Li & T. Ren
50. Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al.
51. High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al.
52. Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al.
53. Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang
54. Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al.
55. Reconciling Bottom–Up and Top–Down Approaches to Quantify Sub-Regional Methane Emissions with Improved Inventory and Three-Year High-Resolution Satellite Measurements C. He et al.
56. Regional production shift and increased utilization dampen the growth of China’s coal mine methane emissions J. Zhang et al.
57. Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al.