117 citations as recorded by crossref.

1. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. https://doi.org/10.5194/essd-11-1263-2019
2. In situ observations of the isotopic composition of methane at the Cabauw tall tower site T. Röckmann et al. https://doi.org/10.5194/acp-16-10469-2016
3. Improved Mechanistic Understanding of Natural Gas Methane Emissions from Spatially Resolved Aircraft Measurements S. Schwietzke et al. https://doi.org/10.1021/acs.est.7b01810
4. B-Spline Method for Spatio-Temporal Inverse Model H. Wang et al. https://doi.org/10.1007/s11424-022-1206-5
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7. Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. https://doi.org/10.1002/2016GB005504
8. Slowdown in China's methane emission growth M. Zhao et al. https://doi.org/10.1093/nsr/nwae223
9. International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium T. Uttal et al. https://doi.org/10.1175/BAMS-D-14-00145.1
10. Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010 S. Pandey et al. https://doi.org/10.5194/acp-16-5043-2016
11. Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models? Z. Tan et al. https://doi.org/10.5194/acp-16-12649-2016
12. Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion W. Wu et al. https://doi.org/10.3390/rs16030578
13. An Approach to Estimate Atmospheric Greenhouse Gas Total Columns Mole Fraction from Partial Column Sampling J. Tadić & S. Biraud https://doi.org/10.3390/atmos9070247
14. Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al. https://doi.org/10.5194/gmd-18-1505-2025
15. The Arctic Carbon Cycle and Its Response to Changing Climate L. Bruhwiler et al. https://doi.org/10.1007/s40641-020-00169-5
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17. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. https://doi.org/10.5194/acp-17-8371-2017
18. Analysis of atmospheric CH4 in Canadian Arctic and estimation of the regional CH4 fluxes M. Ishizawa et al. https://doi.org/10.5194/acp-19-4637-2019
19. The global methane budget 2000–2012 M. Saunois et al. https://doi.org/10.5194/essd-8-697-2016
20. Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020 N. Chandra et al. https://doi.org/10.1038/s43247-024-01286-x
21. Methane emission from high latitude lakes: methane-centric lake classification and satellite-driven annual cycle of emissions E. Matthews et al. https://doi.org/10.1038/s41598-020-68246-1
22. Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al. https://doi.org/10.5194/acp-24-10013-2024
23. Satellite‐derived methane emissions from inundation in Bangladesh C. Peters et al. https://doi.org/10.1002/2016JG003740
24. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH4 v1.0 A. Tsuruta et al. https://doi.org/10.5194/gmd-10-1261-2017
25. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. https://doi.org/10.1029/2018GB006065
26. High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
27. Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions X. Yu et al. https://doi.org/10.5194/acp-21-951-2021
28. Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia Detected by Satellite Observations of GOSAT and TROPOMI H. Song et al. https://doi.org/10.3390/rs15133389
29. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere H. Tian et al. https://doi.org/10.1038/nature16946
30. Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models X. Liu & Q. Zhuang https://doi.org/10.5194/bg-20-1181-2023
31. Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K. Yuan et al. https://doi.org/10.1038/s41558-024-01933-3
32. WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 Q. Ying et al. https://doi.org/10.5194/essd-17-2507-2025
33. Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes M. Tenkanen et al. https://doi.org/10.3390/rs13245059
34. Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. https://doi.org/10.2151/jmsj.2021-015
35. A U.S. scientific community review of carbon cycle science gaps and opportunities to better support earth system science and carbon management N. Parazoo et al. https://doi.org/10.1016/j.earscirev.2026.105493
36. BAWLD-CH4: a comprehensive dataset of methane fluxes from boreal and arctic ecosystems M. Kuhn et al. https://doi.org/10.5194/essd-13-5151-2021
37. No significant increase in long‐term CH4 emissions on North Slope of Alaska despite significant increase in air temperature C. Sweeney et al. https://doi.org/10.1002/2016GL069292
38. An observation-constrained assessment of the climate sensitivity and future trajectories of wetland methane emissions E. Koffi et al. https://doi.org/10.1126/sciadv.aay4444
39. Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. https://doi.org/10.5194/acp-25-2181-2025
40. The CarbonTracker Data Assimilation System for CO2 and δ13C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. https://doi.org/10.5194/gmd-11-283-2018
41. Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al. https://doi.org/10.5194/acp-17-235-2017
42. Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands T. Li et al. https://doi.org/10.5194/gmd-13-3769-2020
43. A comparative study of anthropogenic CH4 emissions over China based on the ensembles of bottom-up inventories X. Lin et al. https://doi.org/10.5194/essd-13-1073-2021
44. Atmospheric methane evolution the last 40 years S. Dalsøren et al. https://doi.org/10.5194/acp-16-3099-2016
45. Correlation between paddy rice growth and satellite-observed methane column abundance does not imply causation Z. Zeng et al. https://doi.org/10.1038/s41467-021-21434-7
46. Contribution of oil and natural gas production to renewed increase in atmospheric methane (2007–2014): top–down estimate from ethane and methane column observations P. Hausmann et al. https://doi.org/10.5194/acp-16-3227-2016
47. Methane emissions from Alaska in 2012 from CARVE airborne observations R. Chang et al. https://doi.org/10.1073/pnas.1412953111
48. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. https://doi.org/10.5194/acp-17-11135-2017
49. Observationally derived rise in methane surface forcing mediated by water vapour trends D. Feldman et al. https://doi.org/10.1038/s41561-018-0085-9
50. Impact of Water Table on Methane Emission Dynamics in Terrestrial Wetlands and Implications on Strategies for Wetland Management and Restoration T. Yang et al. https://doi.org/10.1007/s13157-022-01634-7
51. Observational determination of surface radiative forcing by CO2 from 2000 to 2010 D. Feldman et al. https://doi.org/10.1038/nature14240
52. Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. https://doi.org/10.5194/gmd-13-3839-2020
53. On the Causes and Consequences of Recent Trends in Atmospheric Methane H. Schaefer https://doi.org/10.1007/s40641-019-00140-z
54. Investigating Alaskan methane and carbon dioxide fluxes using measurements from the CARVE tower A. Karion et al. https://doi.org/10.5194/acp-16-5383-2016
55. Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic Y. Oh et al. https://doi.org/10.1038/s41558-020-0734-z
56. Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations X. Lu et al. https://doi.org/10.5194/acp-21-4637-2021
57. Remote sensing northern lake methane ebullition M. Engram et al. https://doi.org/10.1038/s41558-020-0762-8
58. Simulating CH4 and CO2 over South and East Asia using the zoomed chemistry transport model LMDz-INCA X. Lin et al. https://doi.org/10.5194/acp-18-9475-2018
59. Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. https://doi.org/10.3390/rs14030654
60. Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. https://doi.org/10.3390/rs8050361
61. Rising atmospheric methane: 2007–2014 growth and isotopic shift E. Nisbet et al. https://doi.org/10.1002/2016GB005406
62. A large increase in U.S. methane emissions over the past decade inferred from satellite data and surface observations A. Turner et al. https://doi.org/10.1002/2016GL067987
63. A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands X. Xu et al. https://doi.org/10.5194/bg-13-5043-2016
64. Comment on “Understanding the Permafrost–Hydrate System and Associated Methane Releases in the East Siberian Arctic Shelf” B. Thornton et al. https://doi.org/10.3390/geosciences9090384
65. Estimation of CH4emission based on an advanced 4D-LETKF assimilation system J. Bisht et al. https://doi.org/10.5194/gmd-16-1823-2023
66. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. https://doi.org/10.5194/acp-16-14371-2016
67. Double‐counting challenges the accuracy of high‐latitude methane inventories B. Thornton et al. https://doi.org/10.1002/2016GL071772
68. Independent validation of IASI/MetOp-A LMD and RAL CH4 products using CAMS model, in situ profiles, and ground-based FTIR measurements B. Dils et al. https://doi.org/10.5194/amt-17-5491-2024
69. Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. https://doi.org/10.3390/atmos14071121
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71. An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al. https://doi.org/10.5194/essd-18-167-2026
72. Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. https://doi.org/10.1371/journal.pone.0166039
73. Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system A. Tsuruta et al. https://doi.org/10.1080/16000889.2018.1565030
74. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data A. Turner et al. https://doi.org/10.5194/acp-15-7049-2015
75. Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
76. The recent increase of atmospheric methane from 10 years of ground-based NDACC FTIR observations since 2005 W. Bader et al. https://doi.org/10.5194/acp-17-2255-2017
77. City-Level CH4 Emissions from Anthropogenic Sources and Its Environmental Behaviors in China’s Cold Cities W. Song et al. https://doi.org/10.3390/atmos14030535
78. Coalbed Biogenic Methane: Insights on the “Blind Spots” in Mitigation of Emissions R. Flores https://doi.org/10.3390/methane5030020
79. Chemistry and the Linkages between Air Quality and Climate Change E. von Schneidemesser et al. https://doi.org/10.1021/acs.chemrev.5b00089
80. Climate-sensitive northern lakes and ponds are critical components of methane release M. Wik et al. https://doi.org/10.1038/ngeo2578
81. Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
82. CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. https://doi.org/10.5194/gmd-16-4793-2023
83. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion R. Thompson et al. https://doi.org/10.5194/acp-17-3553-2017
84. Isotopic source signatures: Impact of regional variability on the δ13CH4 trend and spatial distribution A. Feinberg et al. https://doi.org/10.1016/j.atmosenv.2017.11.037
85. Rapid summer methane emission decline in high-latitude plains linked to 2021 drought M. Zhao et al. https://doi.org/10.1038/s43247-026-03433-y
86. Melt period methane emissions in northern high latitude wetlands are governed by the length of the period and presence of permafrost S. Hyvärinen et al. https://doi.org/10.5194/acp-26-7555-2026
87. Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. https://doi.org/10.1016/j.scitotenv.2024.171311
88. Vulnerability of Arctic-Boreal methane emissions to climate change F. Parmentier et al. https://doi.org/10.3389/fenvs.2024.1460155
89. A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. https://doi.org/10.5194/acp-17-4565-2017
90. U.S. CH4 emissions from oil and gas production: Have recent large increases been detected? L. Bruhwiler et al. https://doi.org/10.1002/2016JD026157
91. Measurements of δ13C in CH4 and using particle dispersion modeling to characterize sources of Arctic methane within an air mass J. France et al. https://doi.org/10.1002/2016JD026006
92. Estimating regional-scale methane flux and budgets using CARVE aircraft measurements over Alaska S. Hartery et al. https://doi.org/10.5194/acp-18-185-2018
93. Tundra landscape heterogeneity, not interannual variability, controls the decadal regional carbon balance in the Western Russian Arctic C. Treat et al. https://doi.org/10.1111/gcb.14421
94. Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling S. Miller et al. https://doi.org/10.5194/bg-13-1329-2016
95. Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison G. McNicol et al. https://doi.org/10.1029/2023AV000956
96. Detecting changes in Arctic methane emissions: limitations of the inter-polar difference of atmospheric mole fractions O. Dimdore-Miles et al. https://doi.org/10.5194/acp-18-17895-2018
97. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) R. Hoesly et al. https://doi.org/10.5194/gmd-11-369-2018
98. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. https://doi.org/10.5194/acp-23-3325-2023
99. Predicting catchment-scale methane fluxes with multi-source remote sensing A. Räsänen et al. https://doi.org/10.1007/s10980-021-01194-x
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104. The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. https://doi.org/10.5194/gmd-14-2525-2021
105. Methane emissions from northern lakes under climate change: a review L. Li & B. Xue https://doi.org/10.1007/s42452-021-04869-x
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111. Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. https://doi.org/10.5194/gmd-15-2813-2022
112. Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach S. Ludwig et al. https://doi.org/10.1088/1748-9326/acd467
113. European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. https://doi.org/10.5194/acp-24-2759-2024
114. China’s coal mine methane regulations have not curbed growing emissions S. Miller et al. https://doi.org/10.1038/s41467-018-07891-7
115. Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al. https://doi.org/10.5194/amt-15-4623-2022
116. Comparison of Atmospheric Methane Retrievals From AIRS and IASI X. Xiong et al. https://doi.org/10.1109/JSTARS.2016.2588279
117. Methane-eating microbes C. McCalley https://doi.org/10.1038/s41558-020-0736-x