77 citations as recorded by crossref.

1. Enhanced CH4 emissions from global wildfires likely due to undetected small fires J. Zhao et al.
2. Impact of an abrupt cooling event on interglacial methane emissions in northern peatlands S. Zürcher et al.
3. Ratios of greenhouse gas emissions observed over the Yellow Sea and the East China Sea Y. Liu et al.
4. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al.
5. Why methane surged in the atmosphere during the early 2020s P. Ciais et al.
6. Increasing forest fire emissions despite the decline in global burned area B. Zheng et al.
7. A three-dimensional synthesis inversion of the molecular hydrogen cycle: Sources and sinks budget and implications for the soil uptake P. Bousquet et al.
8. Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter X. Tang et al.
9. Optimizing global CO emission estimates using a four-dimensional variational data assimilation system and surface network observations P. Hooghiemstra et al.
10. Dynamic biomass burning emission factors and their impact on atmospheric CO mixing ratios T. van Leeuwen et al.
11. H2 vertical profiles in the continental boundary layer: measurements at the Cabauw tall tower in The Netherlands M. Popa et al.
12. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al.
13. Source attribution of the changes in atmospheric methane for 2006–2008 P. Bousquet et al.
14. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al.
15. Impact of the atmospheric sink and vertical mixing on nitrous oxide fluxes estimated using inversion methods R. Thompson et al.
16. Atmospheric composition change: Climate–Chemistry interactions I. Isaksen et al.
17. On the capability of IASI measurements to inform about CO surface emissions A. Fortems-Cheiney et al.
18. Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al.
19. Rapid decline in carbon monoxide emissions and export from East Asia between years 2005 and 2016 B. Zheng et al.
20. River geochemistry, chemical weathering, and atmospheric CO2 consumption rates in the Virunga Volcanic Province (East Africa) C. Balagizi et al.
21. Towards better error statistics for atmospheric inversions of methane surface fluxes A. Berchet et al.
22. Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate δ13C(CH4) and CH4: a case study with model LMDz-SACS J. Thanwerdas et al.
23. Atmospheric methane evolution the last 40 years S. Dalsøren et al.
24. On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al.
25. Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al.
26. Study of pressure broadening effects of H2 on CO2 and CO in the near infrared region between 6317 and 6335cm−1 at room temperature A. Padmanabhan et al.
27. Factors controlling variability in the oxidative capacity of the troposphere since the Last Glacial Maximum L. Murray et al.
28. Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al.
29. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al.
30. Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al.
31. On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations O. Stein et al.
32. 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.
33. Changes in air quality and tropospheric composition due to depletion of stratospheric ozone and interactions with climate X. Tang et al.
34. On the consistency between global and regional methane emissions inferred from SCIAMACHY, TANSO-FTS, IASI and surface measurements C. Cressot et al.
35. Wetland emission and atmospheric sink changes explain methane growth in 2020 S. Peng et al.
36. Toward a chemical reanalysis in a coupled chemistry‐climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition B. Gaubert et al.
37. Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al.
38. Implications of carbon monoxide bias for methane lifetime and atmospheric composition in chemistry climate models S. Strode et al.
39. Contributions of the troposphere and stratosphere to CH4 model biases Z. Wang et al.
40. Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al.
41. The Monitoring Nitrous Oxide Sources (MIN2OS) satellite project P. Ricaud et al.
42. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al.
43. Long-lived atmospheric trace gases measurements in flask samples from three stations in India X. Lin et al.
44. Decadal trends in global CO emissions as seen by MOPITT Y. Yin et al.
45. Multi-species inversion and IAGOS airborne data for a better constraint of continental-scale fluxes F. Boschetti et al.
46. Top-down estimates of European CH4 and N2O emissions based on four different inverse models P. Bergamaschi et al.
47. Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al.
48. Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires A. Brožová et al.
49. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al.
50. A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al.
51. HCFC‐22 emissions at global and regional scales between 1995 and 2010: Trends and variability A. Fortems‒Cheiney et al.
52. Stable atmospheric methane in the 2000s: key-role of emissions from natural wetlands I. Pison et al.
53. Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling R. Locatelli et al.
54. A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion C. Yver et al.
55. Role of atmospheric oxidation in recent methane growth M. Rigby et al.
56. Tracking regional CH4 emissions through collocated air pollution measurement: a pilot application and robustness analysis in China Y. Li & B. Zheng
57. Atmospheric inversions for estimating CO2 fluxes: methods and perspectives P. Ciais et al.
58. Ten years of CO emissions as seen from Measurements of Pollution in the Troposphere (MOPITT) A. Fortems-Cheiney et al.
59. Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions K. Miyazaki et al.
60. The formaldehyde budget as seen by a global-scale multi-constraint and multi-species inversion system A. Fortems-Cheiney et al.
61. Three decades of global methane sources and sinks S. Kirschke et al.
62. A global model simulation of present and future nitrate aerosols and their direct radiative forcing of climate D. Hauglustaine et al.
63. Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al.
64. Regional non-CO2greenhouse gas fluxes inferred from atmospheric measurements in Ontario, Canada F. Vogel et al.
65. Recent methane surges reveal heightened emissions from tropical inundated areas X. Lin et al.
66. Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling R. Locatelli et al.
67. The chemical transport model Oslo CTM3 O. Søvde et al.
68. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al.
69. Top-Down Versus Bottom-Up E. Nisbet & R. Weiss
70. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area B. Poulter et al.
71. Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al.
72. Role of OH variability in the stalling of the global atmospheric CH4 growth rate from 1999 to 2006 J. McNorton et al.
73. A linear CO chemistry parameterization in a chemistry-transport model: evaluation and application to data assimilation M. Claeyman et al.
74. Constraining global methane emissions and uptake by ecosystems R. Spahni et al.
75. Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations R. Locatelli et al.
76. Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions B. Zheng et al.
77. 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.