64 citations as recorded by crossref.

1. 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
2. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
3. An observation-constrained assessment of the climate sensitivity and future trajectories of wetland methane emissions E. Koffi et al. 10.1126/sciadv.aay4444
4. Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. 10.2151/jmsj.2021-015
5. Microbial Community Analyses Inform Geochemical Reaction Network Models for Predicting Pathways of Greenhouse Gas Production R. Wilson et al. 10.3389/feart.2019.00059
6. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
7. Results of a long-term international comparison of greenhouse gas and isotope measurements at the Global Atmosphere Watch (GAW) Observatory in Alert, Nunavut, Canada D. Worthy et al. 10.5194/amt-16-5909-2023
8. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
9. Suppression of methane uptake by precipitation pulses and long-term nitrogen addition in a semi-arid meadow steppe in northeast China W. Gao et al. 10.3389/fpls.2022.1071511
10. Improved Chemical Tracer Simulation by MIROC4.0-based Atmospheric Chemistry-Transport Model (MIROC4-ACTM) P. Patra et al. 10.2151/sola.2018-016
11. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) R. Hoesly et al. 10.5194/gmd-11-369-2018
12. Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
13. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
14. Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method X. Luo et al. 10.1007/s00376-022-2039-9
15. 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
16. Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
17. Isotopic Characterization (2H, 13C, 37Cl, 81Br) of Abiotic Degradation of Methyl Bromide and Methyl Chloride in Water and Implications for Future Studies A. Horst et al. 10.1021/acs.est.9b02165
18. Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
19. 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
20. Inverse modelling of European CH<sub>4</sub> emissions during 2006–2012 using different inverse models and reassessed atmospheric observations P. Bergamaschi et al. 10.5194/acp-18-901-2018
21. A review of four decades of atmospheric trace gas measurements at Cape Point, South Africa C. Labuschagne et al. 10.1080/0035919X.2018.1477854
22. Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
23. Emulation of greenhouse‐gas sensitivities using variational autoencoders L. Cartwright et al. 10.1002/env.2754
24. Seasonal Variations of CH4 Emissions in the Yangtze River Delta Region of China Are Driven by Agricultural Activities W. Huang et al. 10.1007/s00376-021-0383-9
25. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
26. Multi-scale temporal variation in methane emission from an alpine peatland on the Eastern Qinghai-Tibetan Plateau and associated environmental controls H. Peng et al. 10.1016/j.agrformet.2019.107616
27. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
28. 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
29. Methane Emission Estimation of Oil and Gas Sector: A Review of Measurement Technologies, Data Analysis Methods and Uncertainty Estimation S. Sun et al. 10.3390/su132413895
30. Where to place methane monitoring sites in China to better assist carbon management X. Zhang et al. 10.1038/s41612-023-00359-6
31. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
32. 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
33. 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. 10.5194/acp-23-5945-2023
34. CH4 isotopic signatures of emissions from oil and gas extraction sites in Romania M. Menoud et al. 10.1525/elementa.2021.00092
35. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
36. The development of the Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) greenhouse gas profiling system and application for satellite retrieval validation L. Joly et al. 10.5194/amt-13-3099-2020
37. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
38. 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
39. An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. 10.5194/bg-15-4683-2018
40. How do Cl concentrations matter for the simulation of CH4 and δ13C(CH4) and estimation of the CH4 budget through atmospheric inversions? J. Thanwerdas et al. 10.5194/acp-22-15489-2022
41. Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al. 10.5194/acp-23-7503-2023
42. Towards accurate methane point-source quantification from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.5194/amt-12-6667-2019
43. Stable Carbon Isotope Signature of Methane Released From Phytoplankton T. Klintzsch et al. 10.1029/2023GL103317
44. Influences of Uncertainties in the STT Flux on Modeled Tropospheric Methane Z. Wang 10.1029/2023JD039107
45. Spatiotemporal analysis of atmospheric methane concentrations and key influencing factors using machine learning in the Middle East (2010–2021) S. Mousavi 10.1016/j.rsase.2024.101406
46. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
47. Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
48. 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. 10.3390/rs15061620
49. 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
50. Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. 10.5194/amt-12-4659-2019
51. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
52. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
53. Evaluation of a new methane calibration system at JMA for WCC Round Robin experiments H. Matsueda et al. 10.2467/mripapers.67.57
54. Anthropogenic methane plume detection from point sources in the Paris megacity area and characterization of their δ13C signature I. Xueref-Remy et al. 10.1016/j.atmosenv.2019.117055
55. 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
56. Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
57. Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations X. Lu et al. 10.5194/acp-22-395-2022
58. 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
59. Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
60. Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al. 10.5194/acp-21-12631-2021
61. High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
62. A gridded inventory of Canada’s anthropogenic methane emissions T. Scarpelli et al. 10.1088/1748-9326/ac40b1
63. Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 J. He et al. 10.5194/acp-20-805-2020
64. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021