48 citations as recorded by crossref.

1. Emulation of greenhouse‐gas sensitivities using variational autoencoders L. Cartwright et al. 10.1002/env.2754
2. The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations I. Super et al. 10.1016/j.aeaoa.2021.100119
3. A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
4. A Bayesian framework for deriving sector-based methane emissions from top-down fluxes D. Cusworth et al. 10.1038/s43247-021-00312-6
5. Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. 10.1039/D3EA00138E
6. Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate M. Abdalla et al. 10.1007/s10113-016-0958-7
7. Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al. 10.5194/acp-19-4345-2019
8. Marine emissions and trade winds control the atmospheric nitrous oxide in the Galapagos Islands T. Cinay et al. 10.5194/acp-25-4703-2025
9. Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.spasta.2016.06.005
10. A complete rethink is needed on how greenhouse gas emissions are quantified for national reporting A. Leip et al. 10.1016/j.atmosenv.2017.12.006
11. Elevated temperature shifts soil N cycling from microbial immobilization to enhanced mineralization, nitrification and denitrification across global terrestrial ecosystems Z. Dai et al. 10.1111/gcb.15211
12. Greenhouse gas observation network design for Africa A. Nickless et al. 10.1080/16000889.2020.1824486
13. The increasing atmospheric burden of the greenhouse gas sulfur hexafluoride (SF6) P. Simmonds et al. 10.5194/acp-20-7271-2020
14. UK greenhouse gas measurements at two new tall towers for aiding emissions verification A. Stavert et al. 10.5194/amt-12-4495-2019
15. Unmanned aerial vehicle observations of cold venting from exploratory hydraulic fracturing in the United Kingdom A. Shah et al. 10.1088/2515-7620/ab716d
16. Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
17. Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio A. Ramsden et al. 10.5194/acp-22-3911-2022
18. Suitability of a Non-Dispersive Infrared Methane Sensor Package for Flux Quantification Using an Unmanned Aerial Vehicle A. Shah et al. 10.3390/s19214705
19. EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012 G. Janssens-Maenhout et al. 10.5194/essd-11-959-2019
20. Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO2 Emissions S. Jeong et al. 10.1021/acs.est.4c09395
21. Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations P. Bergamaschi et al. 10.5194/acp-18-901-2018
22. Measurements of methane and nitrous oxide in human breath and the development of UK scale emissions B. Dawson et al. 10.1371/journal.pone.0295157
23. Assessing London CO2, CH4 and CO emissions using aircraft measurements and dispersion modelling J. Pitt et al. 10.5194/acp-19-8931-2019
24. Atmospheric observations show accurate reporting and little growth in India’s methane emissions A. Ganesan et al. 10.1038/s41467-017-00994-7
25. Simultaneous detection of ambient methane, nitrous oxide, and water vapor using an external-cavity quantum cascade laser X. Cui et al. 10.1016/j.atmosenv.2018.07.001
26. Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al. 10.5194/amt-18-151-2025
27. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
28. Magnitude and seasonal variation of N2O and CH4 emissions over a mixed agriculture-urban region X. Tong et al. 10.1016/j.agrformet.2023.109433
29. Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo M. Lunt et al. 10.5194/gmd-9-3213-2016
30. Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
31. Greenhouse gas measurements from a UK network of tall towers: technical description and first results K. Stanley et al. 10.5194/amt-11-1437-2018
32. Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
33. Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. 10.5194/amt-12-4659-2019
34. Nitrous Oxide Emissions Estimated With the CarbonTracker‐Lagrange North American Regional Inversion Framework C. Nevison et al. 10.1002/2017GB005759
35. A decade of CH4, CO and N2O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
36. Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields L. Western et al. 10.5194/gmd-13-2095-2020
37. Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020) M. Lunt et al. 10.5194/acp-21-16257-2021
38. Continued increase of CFC-113a (CCl3CF3) mixing ratios in the global atmosphere: emissions, occurrence and potential sources K. Adcock et al. 10.5194/acp-18-4737-2018
39. History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) R. Prinn et al. 10.5194/essd-10-985-2018
40. Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.chemolab.2015.09.006
41. High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
42. Evaluation of the boundary layer dynamics of the TM5 model over Europe E. Koffi et al. 10.5194/gmd-9-3137-2016
43. Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
44. Step Change in Improving the Accuracy of Nitrous Oxide Reference Materials for Underpinning Atmospheric Composition Measurements K. Charoenpornpukdee et al. 10.1021/acs.analchem.3c02160
45. How a European network may help with estimating methane emissions on the French national scale I. Pison et al. 10.5194/acp-18-3779-2018
46. From research to policy: optimizing the design of a national monitoring system to mitigate soil nitrous oxide emissions S. Ogle et al. 10.1016/j.cosust.2020.06.003
47. Extreme flood events at higher temperatures exacerbate the loss of soil functionality and trace gas emissions in grassland A. Sánchez-Rodríguez et al. 10.1016/j.soilbio.2018.12.021
48. Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem P. Levy et al. 10.1016/j.agrformet.2019.107783