39 citations as recorded by crossref.

1. Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. 10.5194/acp-20-12905-2020
2. The improved Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST): update, validation and applications Z. Zang et al. 10.5194/acp-24-13889-2024
3. Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
4. Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. 10.5194/acp-23-13755-2023
5. Preindustrial-to-present-day changes in atmospheric carbon monoxide: agreement and gaps between ice archives and global model reconstructions X. Faïn et al. 10.5194/acp-25-1105-2025
6. Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
7. Climate and Tropospheric Oxidizing Capacity A. Fiore et al. 10.1146/annurev-earth-032320-090307
8. Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation A. Stell et al. 10.5194/acp-21-1717-2021
9. Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
10. Estimation of the atmospheric hydroxyl radical oxidative capacity using multiple hydrofluorocarbons (HFCs) R. Thompson et al. 10.5194/acp-24-1415-2024
11. On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms A. Archibald et al. 10.1098/rsta.2019.0329
12. Tropospheric ozone in CMIP6 simulations P. Griffiths et al. 10.5194/acp-21-4187-2021
13. Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator E. Reyes-Villegas et al. 10.5194/acp-23-5763-2023
14. Multi-method global sensitivity analysis of mathematical models A. Dela et al. 10.1016/j.jtbi.2022.111159
15. Investigations on the anthropogenic reversal of the natural ozone gradient between northern and southern midlatitudes D. Parrish et al. 10.5194/acp-21-9669-2021
16. Enhanced atmospheric oxidation toward carbon neutrality reduces methane’s climate forcing M. Liu et al. 10.1038/s41467-024-47436-9
17. Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. 10.1016/j.atmosenv.2021.118798
18. An observation-based, reduced-form model for oxidation in the remote marine troposphere C. Baublitz et al. 10.1073/pnas.2209735120
19. Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
20. Projections of Future Air Quality Are Uncertain. But Which Source of Uncertainty Is Most Important? R. Doherty et al. 10.1029/2022JD037948
21. Intercomparison of the representations of the atmospheric chemistry of pre-industrial methane and ozone in earth system and other global chemistry-transport models R. Derwent et al. 10.1016/j.atmosenv.2021.118248
22. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
23. Sensitivity of tropospheric ozone to halogen chemistry in the chemistry–climate model LMDZ-INCA vNMHC C. Caram et al. 10.5194/gmd-16-4041-2023
24. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
25. Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
26. Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
27. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
28. Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere H. Bowman et al. 10.5194/acp-22-3507-2022
29. Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
30. Probabilistic threshold analysis by pairwise stochastic approximation for decision-making under uncertainty T. Goda & Y. Yamada 10.1038/s41598-021-99089-z
31. Atlantis Ecosystem Model Summit 2022: Report from a workshop H. Perryman et al. 10.1016/j.ecolmodel.2023.110442
32. Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis M. Rahaman et al. 10.1016/j.jece.2024.112915
33. Quantifying CO 2 forcing effects on lightning, wildfires, and climate interactions V. Verjans et al. 10.1126/sciadv.adt5088
34. The global and regional air quality impacts of dietary change M. Springmann et al. 10.1038/s41467-023-41789-3
35. Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model G. Chua et al. 10.5194/acp-23-4955-2023
36. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
37. Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers D. Anderson et al. 10.5194/acp-21-6481-2021
38. Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
39. Global Warming Potential (GWP) for Methane: Monte Carlo Analysis of the Uncertainties in Global Tropospheric Model Predictions R. Derwent 10.3390/atmos11050486