88 citations as recorded by crossref.

1. Limited impact of El Niño–Southern Oscillation on variability and growth rate of atmospheric methane H. Schaefer et al. 10.5194/bg-15-6371-2018
2. Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI S. Massart et al. 10.5194/acp-14-6139-2014
3. Large XCH<sub>4</sub> anomaly in summer 2013 over northeast Asia observed by GOSAT M. Ishizawa et al. 10.5194/acp-16-9149-2016
4. Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane Y. Zhang et al. 10.5194/acp-18-15959-2018
5. Carbon monoxide total column retrievals from TROPOMI shortwave infrared measurements J. Landgraf et al. 10.5194/amt-9-4955-2016
6. Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition H. Nesser et al. 10.5194/amt-14-5521-2021
7. Separation of biospheric and fossil fuel fluxes of CO<sub>2</sub> by atmospheric inversion of CO<sub>2</sub> and <sup>14</sup>CO<sub>2</sub> measurements: Observation System Simulations S. Basu et al. 10.5194/acp-16-5665-2016
8. Analyzing spatio-temporal patterns in atmospheric carbon dioxide concentration across Iran from 2003 to 2020 S. Mousavi et al. 10.1016/j.aeaoa.2022.100163
9. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH<sub>4</sub> v1.0 A. Tsuruta et al. 10.5194/gmd-10-1261-2017
10. On the use of satellite-derived CH<sub>4</sub> : CO<sub>2</sub> columns in a joint inversion of CH<sub>4</sub> and CO<sub>2</sub> fluxes S. Pandey et al. 10.5194/acp-15-8615-2015
11. The operational methane retrieval algorithm for TROPOMI H. Hu et al. 10.5194/amt-9-5423-2016
12. A study of synthetic <sup>13</sup>CH<sub>4</sub> retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
13. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
14. The unintended consequences of antiflaring policies—and measures for mitigation R. Calel & P. Mahdavi 10.1073/pnas.2006774117
15. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. 10.1029/2019RG000675
16. Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
17. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
18. Copernicus Climate Change Service (C3S) Global Satellite Observations of Atmospheric Carbon Dioxide and Methane M. Buchwitz et al. 10.1007/s42423-018-0004-6
19. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
20. Quantification of methane emitted by ruminants: a review of methods L. Tedeschi et al. 10.1093/jas/skac197
21. 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
22. Automatic processing of atmospheric CO<sub>2</sub> and CH<sub>4</sub> mole fractions at the ICOS Atmosphere Thematic Centre L. Hazan et al. 10.5194/amt-9-4719-2016
23. The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. 10.1134/S102485601501011X
24. Age of air as a diagnostic for transport timescales in global models M. Krol et al. 10.5194/gmd-11-3109-2018
25. Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. 10.5194/amt-7-4081-2014
26. Inverse modeling of GOSAT-retrieved ratios of total column CH<sub>4</sub> and CO<sub>2</sub> for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
27. In situ observations of the isotopic composition of methane at the Cabauw tall tower site T. Röckmann et al. 10.5194/acp-16-10469-2016
28. Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations R. Locatelli et al. 10.5194/acp-15-9765-2015
29. Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget J. Ma et al. 10.5194/acp-21-3507-2021
30. Seasonality and interannual variability of CH4 fluxes from the eastern Amazon Basin inferred from atmospheric mole fraction profiles L. Basso et al. 10.1002/2015JD023874
31. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
32. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. 10.5194/acp-17-11135-2017
33. Trends and variability in methane concentrations over the Southeastern Arabian Peninsula D. Francis et al. 10.3389/fenvs.2023.1177877
34. Evaluation of Sentinel-5P TROPOMI Methane Observations at Northern High Latitudes H. Lindqvist et al. 10.3390/rs16162979
35. A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity S. Naus et al. 10.5194/acp-21-4809-2021
36. The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
37. 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
38. What do physicians think about the white coat, about patients' view of the white coat, and how empathetic are physicians toward patients in hospital gowns? An enclothed cognition view G. Gabay et al. 10.3389/fpsyg.2024.1371105
39. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
40. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
41. Regional CO<sub>2</sub> inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
42. Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. 10.2151/jmsj.2016-006
43. Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
44. On the Causes and Consequences of Recent Trends in Atmospheric Methane H. Schaefer 10.1007/s40641-019-00140-z
45. 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. 10.5194/gmd-13-3839-2020
46. 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
47. A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
48. Combined assimilation of NOAA surface and MIPAS satellite observations to constrain the global budget of carbonyl sulfide J. Ma et al. 10.5194/acp-24-6047-2024
49. Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling R. Locatelli et al. 10.5194/gmd-8-129-2015
50. Assessing 5 years of GOSAT Proxy XCH<sub>4</sub> data and associated uncertainties R. Parker et al. 10.5194/amt-8-4785-2015
51. Inverse modelling of CH<sub>4</sub> emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY M. Alexe et al. 10.5194/acp-15-113-2015
52. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
53. CarbonTracker-CH<sub>4</sub>: an assimilation system for estimating emissions of atmospheric methane L. Bruhwiler et al. 10.5194/acp-14-8269-2014
54. U.S. CH4 emissions from oil and gas production: Have recent large increases been detected? L. Bruhwiler et al. 10.1002/2016JD026157
55. 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. 10.5194/acp-16-12649-2016
56. Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 J. He et al. 10.5194/acp-20-805-2020
57. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
58. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
59. Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
60. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion R. Thompson et al. 10.5194/acp-17-3553-2017
61. Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. 10.1029/2018JD028907
62. Emissions of methane in Europe inferred by total column measurements D. Wunch et al. 10.5194/acp-19-3963-2019
63. Order of magnitude wall time improvement of variational methane inversions by physical parallelization: a demonstration using TM5-4DVAR S. Pandey et al. 10.5194/gmd-15-4555-2022
64. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
65. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
66. XCO<sub>2</sub> observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements L. Wu et al. 10.5194/amt-13-713-2020
67. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
68. 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. 10.3390/rs13245059
69. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
70. Model simulations of atmospheric methane (1997–2016) and their evaluation using NOAA and AGAGE surface and IAGOS-CARIBIC aircraft observations P. Zimmermann et al. 10.5194/acp-20-5787-2020
71. A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances K. Hu et al. 10.3390/rs16203818
72. Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
73. Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system A. Tsuruta et al. 10.1080/16000889.2018.1565030
74. Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions A. Ražnjević et al. 10.5194/amt-15-3611-2022
75. Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra M. Zhou et al. 10.5194/amt-12-6125-2019
76. 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
77. The description and validation of the computationally Efficient CH<sub>4</sub>–CO–OH (ECCOHv1.01) chemistry module for 3-D model applications Y. Elshorbany et al. 10.5194/gmd-9-799-2016
78. Atmospheric methane evolution the last 40 years S. Dalsøren et al. 10.5194/acp-16-3099-2016
79. Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
80. AirCore-HR: a high-resolution column sampling to enhance the vertical description of CH<sub>4</sub> and CO<sub>2</sub> O. Membrive et al. 10.5194/amt-10-2163-2017
81. 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. 10.3390/atmos14071121
82. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
83. Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
84. 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. 10.5194/acp-24-5069-2024
85. A 21st-century shift from fossil-fuel to biogenic methane emissions indicated by 13 CH 4 H. Schaefer et al. 10.1126/science.aad2705
86. Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
87. Methane emissions from floodplains in the Amazon Basin: challenges in developing a process-based model for global applications B. Ringeval et al. 10.5194/bg-11-1519-2014
88. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013