49 citations as recorded by crossref.

1. Mechanism and thermal rate constant for the atmospheric oxidation of coumarin in the atmosphere M. Fu et al. https://doi.org/10.1016/j.comptc.2024.114785
2. Anthropogenic-driven perturbations on nitrogen cycles and interactions with climate changes C. Gong et al. https://doi.org/10.1016/j.cogsc.2024.100897
3. East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. https://doi.org/10.5194/acp-23-8039-2023
4. Tomographic retrieval algorithm of OH concentration profiles using double spatial heterodyne spectrometers Y. An et al. https://doi.org/10.5194/amt-13-6521-2020
5. Methane cycling in temperate forests K. Wigley et al. https://doi.org/10.1186/s13021-024-00283-z
6. What can we learn about tropospheric OH from satellite observations of methane? E. Penn et al. https://doi.org/10.5194/acp-25-2947-2025
7. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. https://doi.org/10.1088/1748-9326/ac7407
8. Climate and Tropospheric Oxidizing Capacity A. Fiore et al. https://doi.org/10.1146/annurev-earth-032320-090307
9. A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. https://doi.org/10.5194/acp-23-3325-2023
10. Comparisons of carbonaceous aerosols based on hourly data between two typical pollution events in heavily polluted zhengzhou Z. Kong et al. https://doi.org/10.1016/j.atmosenv.2024.120366
11. Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al. https://doi.org/10.1016/j.atmosenv.2024.120715
12. Converging evidence for reduced global atmospheric oxidation in 2020 W. Chen et al. https://doi.org/10.1093/nsr/nwaf232
13. A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity S. Naus et al. https://doi.org/10.5194/acp-21-4809-2021
14. Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. https://doi.org/10.1021/acs.est.1c05636
15. Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. https://doi.org/10.5194/acp-19-7859-2019
16. Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. https://doi.org/10.1088/1748-9326/ac8754
17. Analysis of methane loss rate in the atmosphere over Iran: A regional computational study using CAMS and ERA5 data P. Hamidi Rad & B. Hejazi https://doi.org/10.1007/s00704-026-06495-2
18. Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets Y. Zhao et al. https://doi.org/10.5194/acp-20-9525-2020
19. Chemical mechanism and atmospheric degradation of C4F9N initiated by OH radical: Ab initio kinetic exploration J. Zhao et al. https://doi.org/10.1002/qua.27049
20. Increasing Urban OH Levels in China over the Past Decade R. Xue et al. https://doi.org/10.1021/acs.est.6c01598
21. Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al. https://doi.org/10.5194/gmd-18-3311-2025
22. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. https://doi.org/10.1029/2018GB006065
23. Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. https://doi.org/10.5194/acp-24-13001-2024
24. Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al. https://doi.org/10.1126/sciadv.adz9007
25. Environmental effects of stratospheric ozone depletion, UV radiation and interactions with climate change: UNEP Environmental Effects Assessment Panel, update 2019 G. Bernhard et al. https://doi.org/10.1039/d0pp90011g
26. Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric observations X. Lu et al. https://doi.org/10.5194/acp-22-395-2022
27. 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. https://doi.org/10.5194/acp-24-5069-2024
28. Order of magnitude wall time improvement of variational methane inversions by physical parallelization: a demonstration using TM5-4DVAR S. Pandey et al. https://doi.org/10.5194/gmd-15-4555-2022
29. Estimating emissions of methane consistent with atmospheric measurements of methane and δ13C of methane S. Basu et al. https://doi.org/10.5194/acp-22-15351-2022
30. Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder V. Natraj et al. https://doi.org/10.5194/amt-15-1251-2022
31. Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments Z. Qu et al. https://doi.org/10.5194/acp-21-14159-2021
32. Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
33. Mapping hydroxyl variability throughout the global remote troposphere via synthesis of airborne and satellite formaldehyde observations G. Wolfe et al. https://doi.org/10.1073/pnas.1821661116
34. Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions X. Yu et al. https://doi.org/10.5194/acp-21-951-2021
35. Increasing surface ozone and enhanced secondary organic carbon formation at a city junction site: An epitome of the Yangtze River Delta, China (2014–2017) Y. Liu et al. https://doi.org/10.1016/j.envpol.2020.114847
36. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
37. Trends and seasonality of 2019–2023 global methane emissions inferred from a localized ensemble transform Kalman filter (CHEEREIO v1.3.1) applied to TROPOMI satellite observations D. Pendergrass et al. https://doi.org/10.5194/acp-25-14353-2025
38. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. https://doi.org/10.3390/rs11212489
39. Quantifying Regional Methane Emissions Using Airborne Transects and a Measurement-Model Fusion Approach A. Gonzalez et al. https://doi.org/10.1021/acsestair.3c00072
40. How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. https://doi.org/10.5194/gmd-14-7775-2021
41. Theoretical study on degradation of polymethyl substituted benzenes by OH radicals in the atmosphere H. Zhao et al. https://doi.org/10.1016/j.chemosphere.2024.141243
42. Interannual changes in atmospheric oxidation over forests determined from space J. Shutter et al. https://doi.org/10.1126/sciadv.adn1115
43. Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. https://doi.org/10.1007/s00376-022-1434-6
44. Continuing benefits of the Montreal Protocol and protection of the stratospheric ozone layer for human health and the environment S. Madronich et al. https://doi.org/10.1007/s43630-024-00577-8
45. Evaluation of single-footprint AIRS CH4 profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. https://doi.org/10.5194/amt-14-335-2021
46. Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. https://doi.org/10.5194/acp-21-3643-2021
47. 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. https://doi.org/10.5194/acp-21-4637-2021
48. Learning rates: predicting rate coefficients for hydrogen abstraction reactions C. Pieters & A. Grinberg Dana https://doi.org/10.1039/D6DD00113K
49. Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol L. Tashmim et al. https://doi.org/10.5194/acp-24-3379-2024