57 citations as recorded by crossref.

1. Evaluation of emissions and spatial distribution of methane from offshore oil and gas platforms in the Liaodong Bay of China based on shipboard measurement Y. Yu et al.
2. Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al.
3. Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al.
4. 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.
5. Uncertainty and retrieval sensitivity in TROPOMI-based methane inversions over the North Slope of Alaska R. Ward et al.
6. Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al.
7. Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al.
8. A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al.
9. Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations D. Varon et al.
10. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al.
11. Identification and quantification of CH4 emissions from Madrid landfills using airborne imaging spectrometry and greenhouse gas lidar S. Krautwurst et al.
12. <b>Hacia un sector de hidrocarburos sostenible en México: Innovación en la medición de emisiones y liderazgo climático.</b> S. Sandin Orea
13. Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al.
14. Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al.
15. Methane fluxes from Arctic & boreal North America: comparisons between process-based estimates and atmospheric observations H. Liu et al.
16. 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.
17. Methane emissions from the oil and gas supply chain: Characteristics and mitigation H. Lu et al.
18. Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al.
19. Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang
20. Observed changes in China’s methane emissions linked to policy drivers Y. Zhang et al.
21. Reconciling a national methane emission inventory with in-situ measurements Y. Liu et al.
22. 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.
23. Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al.
24. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al.
25. 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.
26. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al.
27. Differences in feed formulation are more determining of life cycle environmental impacts in U.S. egg production systems than are resource use efficiency and housing system choice I. Turner et al.
28. Intercomparison of Methane Emission Rate Methods Using Aerial and Ground-Level Mobile Monitoring at New York State Landfills A. Catena et al.
29. A socially inclusive economic transition for Mexico: Identifying the opportunities and benefits of enhanced climate action A. Flores et al.
30. Inverse modelling of New Zealand's carbon dioxide balance estimates a larger than expected carbon sink B. Bukosa et al.
31. Methyl coenzyme M reductase as a target for inhibition of methanogenesis in ruminants: challenges and opportunities Z. Shao et al.
32. Mapping U.S. Surface Methane With Artificial Neural Networks M. Bade & Y. Li
33. Enhancing Uncrewed Aerial Vehicle Techniques for Monitoring Greenhouse Gas Plumes at Point Sources H. Kim et al.
34. Global CH4 fluxes derived from JAXA/GOSAT lower-tropospheric partial column data and the CarbonTracker Europe-CH4 atmospheric inverse model A. Tsuruta et al.
35. 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.
36. Inter‐Annual Variability in Atmospheric Transport Complicates Estimation of US Methane Emissions Trends L. Feng et al.
37. Quantifying CO emissions from boreal wildfires by assimilating TROPOMI and TCCON observations S. Voshtani et al.
38. Methane emissions from landfills differentially underestimated worldwide Y. Wang et al.
39. Satellites in addressing climate change: Trends, challenges, and future directions G. Zhou et al.
40. U.S. Ethane Emissions and Trends Estimated from Atmospheric Observations M. Zhang et al.
41. Integrating inventory models and satellite observations for site-level methane emission quantification from MSW landfills in China S. Zhang et al.
42. Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al.
43. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al.
44. Estimation of Surface Methane Concentration based on the Ensemble Kalman Filter Algorithm using a Transport Chemical Model M. Platonova et al.
45. Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics X. Lu et al.
46. Satellite methane and ammonia observations consistently show substantial increases in pan-tropical livestock emissions G. Tang et al.
47. Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al.
48. Saskatchewan’s oil and gas methane: how have underestimated emissions in Canada impacted progress toward 2025 climate goals? S. Seymour et al.
49. Strategies for Enhancing Solid Waste Management Practices in Urban Secondary Schools in Developing Countries P. Nnonyelu & N. Dongjie
50. Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al.
51. Unintended mitigation benefits of China's coal de-capacity policies on methane emissions J. Guo et al.
52. Sources and reliability of reported methane reductions from the oil and gas industry in Alberta, Canada S. Seymour et al.
53. 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.
54. Satellite monitoring of annual US landfill methane emissions and trends N. Balasus et al.
55. Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins L. Shen et al.
56. A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B Z. He et al.
57. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun