76 citations as recorded by crossref.

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3. Ratios of greenhouse gas emissions observed over the Yellow Sea and the East China Sea Y. Liu et al. 10.1016/j.scitotenv.2018.03.250
4. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
5. Increasing forest fire emissions despite the decline in global burned area B. Zheng et al. 10.1126/sciadv.abh2646
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9. Dynamic biomass burning emission factors and their impact on atmospheric CO mixing ratios T. van Leeuwen et al. 10.1002/jgrd.50478
10. H2 vertical profiles in the continental boundary layer: measurements at the Cabauw tall tower in The Netherlands M. Popa et al. 10.5194/acp-11-6425-2011
11. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
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23. On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al. 10.5194/acp-20-13011-2020
24. Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
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27. 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
28. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
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30. 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
31. Changes in air quality and tropospheric composition due to depletion of stratospheric ozone and interactions with climate X. Tang et al. 10.1039/c0pp90039g
32. On the consistency between global and regional methane emissions inferred from SCIAMACHY, TANSO-FTS, IASI and surface measurements C. Cressot et al. 10.5194/acp-14-577-2014
33. Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al. 10.1038/s41586-022-05447-w
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35. Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. 10.5194/acp-19-13701-2019
36. Implications of carbon monoxide bias for methane lifetime and atmospheric composition in chemistry climate models S. Strode et al. 10.5194/acp-15-11789-2015
37. Contributions of the troposphere and stratosphere to CH4 model biases Z. Wang et al. 10.5194/acp-17-13283-2017
38. Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al. 10.5194/acp-20-9525-2020
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40. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
41. Long-lived atmospheric trace gases measurements in flask samples from three stations in India X. Lin et al. 10.5194/acp-15-9819-2015
42. Decadal trends in global CO emissions as seen by MOPITT Y. Yin et al. 10.5194/acp-15-13433-2015
43. Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes F. Boschetti et al. 10.5194/acp-18-9225-2018
44. Top-down estimates of European CH4 and N2O emissions based on four different inverse models P. Bergamaschi et al. 10.5194/acp-15-715-2015
45. Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
46. Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires A. Brožová et al. 10.1016/j.jhazmat.2025.137510
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48. A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
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50. Stable atmospheric methane in the 2000s: key-role of emissions from natural wetlands I. Pison et al. 10.5194/acp-13-11609-2013
51. Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling R. Locatelli et al. 10.5194/acp-13-9917-2013
52. A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion C. Yver et al. 10.5194/acp-11-3375-2011
53. Role of atmospheric oxidation in recent methane growth M. Rigby et al. 10.1073/pnas.1616426114
54. Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al. 10.1007/s10584-010-9909-3
55. Ten years of CO emissions as seen from Measurements of Pollution in the Troposphere (MOPITT) A. Fortems-Cheiney et al. 10.1029/2010JD014416
56. Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions K. Miyazaki et al. 10.5194/acp-12-9545-2012
57. The formaldehyde budget as seen by a global-scale multi-constraint and multi-species inversion system A. Fortems-Cheiney et al. 10.5194/acp-12-6699-2012
58. Three decades of global methane sources and sinks S. Kirschke et al. 10.1038/ngeo1955
59. A global model simulation of present and future nitrate aerosols and their direct radiative forcing of climate D. Hauglustaine et al. 10.5194/acp-14-11031-2014
60. 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
61. Regional non-CO2greenhouse gas fluxes inferred from atmospheric measurements in Ontario, Canada F. Vogel et al. 10.1080/1943815X.2012.691884
62. Recent methane surges reveal heightened emissions from tropical inundated areas X. Lin et al. 10.1038/s41467-024-55266-y
63. 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
64. The chemical transport model Oslo CTM3 O. Søvde et al. 10.5194/gmd-5-1441-2012
65. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al. 10.1029/2022GL102135
66. Top-Down Versus Bottom-Up E. Nisbet & R. Weiss 10.1126/science.1189936
67. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al. 10.1002/2013GB004655
68. Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al. 10.5194/acp-16-9089-2016
69. Role of OH variability in the stalling of the global atmospheric CH4 growth rate from 1999 to 2006 J. McNorton et al. 10.5194/acp-16-7943-2016
70. A linear CO chemistry parameterization in a chemistry-transport model: evaluation and application to data assimilation M. Claeyman et al. 10.5194/acp-10-6097-2010
71. Constraining global methane emissions and uptake by ecosystems R. Spahni et al. 10.5194/bg-8-1643-2011
72. Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations R. Locatelli et al. 10.5194/acp-15-9765-2015
73. On the Role of the Flaming to Smoldering Transition in the Seasonal Cycle of African Fire Emissions B. Zheng et al. 10.1029/2018GL079092
74. Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions B. Zheng et al. 10.5194/essd-11-1411-2019
75. 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. 10.5194/acp-21-4637-2021
76. African CO emissions between years 2000 and 2006 as estimated from MOPITT observations F. Chevallier et al. 10.5194/bg-6-103-2009