36 citations as recorded by crossref.

1. Portable two-filter dual-flow-loop <sup>222</sup>Rn detector: stand-alone monitor and calibration transfer device S. Chambers et al. 10.5194/adgeo-57-63-2022
2. Overview of Radon Flux Characteristics, Measurements, Models and Its Potential Use for the Estimation of Radon Priority Areas I. Čeliković et al. 10.3390/atmos13122005
3. Analysis of ground‐based 222Rn measurements over Spain: Filling the gap in southwestern Europe C. Grossi et al. 10.1002/2016JD025196
4. On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
5. Towards Robust Calculation of Interannual CO2 Growth Signal from TCCON (Total Carbon Column Observing Network) L. Labzovskii et al. 10.3390/rs13193868
6. 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
7. Causes of slowing‐down seasonal CO2 amplitude at Mauna Loa K. Wang et al. 10.1111/gcb.15162
8. Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach T. Bonin et al. 10.1175/JTECH-D-17-0159.1
9. Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al. 10.5194/acp-22-2525-2022
10. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
11. Seasonality of Radon-222 near the surface at King Sejong Station (62°S), Antarctic Peninsula, and the role of atmospheric circulation based on observations and CAM-Chem model S. Jun et al. 10.1016/j.envres.2022.113998
12. A modeling study of the impact of stratospheric intrusion on ozone enhancement in the lower troposphere over the Hong Kong regions, China K. Zhao et al. 10.1016/j.atmosres.2020.105158
13. 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
14. Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al. 10.5194/acp-16-9089-2016
15. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
16. Outdoor Radon as a Tool to Estimate Radon Priority Areas—A Literature Overview I. Čeliković et al. 10.3390/ijerph19020662
17. 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
18. Contributions of the troposphere and stratosphere to CH<sub>4</sub> model biases Z. Wang et al. 10.5194/acp-17-13283-2017
19. Characterizing Atmospheric Transport Pathways to Antarctica and the Remote Southern Ocean Using Radon-222 S. Chambers et al. 10.3389/feart.2018.00190
20. 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
21. The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
22. Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. 10.5194/acp-16-4147-2016
23. Convective Boundary Layer Control of the Sea Surface Temperature in the Tropics F. Hourdin et al. 10.1029/2019MS001988
24. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
25. Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations R. Locatelli et al. 10.5194/acp-15-9765-2015
26. Evaluation of the boundary layer dynamics of the TM5 model over Europe E. Koffi et al. 10.5194/gmd-9-3137-2016
27. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
28. Ongoing Breakthroughs in Convective Parameterization C. Rio et al. 10.1007/s40641-019-00127-w
29. Comment on “Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño” F. Chevallier 10.1126/science.aar5432
30. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al. 10.1029/2022GL102135
31. The Surface Energy Budget Computed at the Grid‐Scale of a Climate Model Challenged by Station Data in West Africa F. Diallo et al. 10.1002/2017MS001081
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. 10.5194/acp-22-15489-2022
33. Simulating CH<sub>4</sub> and CO<sub>2</sub> over South and East Asia using the zoomed chemistry transport model LMDz-INCA X. Lin et al. 10.5194/acp-18-9475-2018
34. Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data M. Remaud et al. 10.1029/2022JD037817
35. Age of air as a diagnostic for transport timescales in global models M. Krol et al. 10.5194/gmd-11-3109-2018
36. Investigation of the atmospheric boundary layer depth variability and its impact on the 222Rn concentration at a rural site in France S. Pal et al. 10.1002/2014JD022322