51 citations as recorded by crossref.

1. The offline Lagrangian particle model FLEXPART–NorESM/CAM (v1): model description and comparisons with the online NorESM transport scheme and with the reference FLEXPART model M. Cassiani et al. 10.5194/gmd-9-4029-2016
2. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH<sub>4</sub> v1.0 A. Tsuruta et al. 10.5194/gmd-10-1261-2017
3. Surface networks in the Arctic may miss a future methane bomb S. Wittig et al. 10.5194/acp-24-6359-2024
4. Comparison of four inverse modelling systems applied to the estimation of HFC-125, HFC-134a, and SF<sub>6</sub> emissions over Europe D. Brunner et al. 10.5194/acp-17-10651-2017
5. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
6. Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
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. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
9. Greenhouse gas observation network design for Africa A. Nickless et al. 10.1080/16000889.2020.1824486
10. A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
11. Methane emissions in East Asia for 2000–2011 estimated using an atmospheric Bayesian inversion R. Thompson et al. 10.1002/2014JD022394
12. Extensive release of methane from Arctic seabed west of Svalbard during summer 2014 does not influence the atmosphere C. Myhre et al. 10.1002/2016GL068999
13. A comprehensive evaluation of the use of Lagrangian particle dispersion models for inverse modeling of greenhouse gas emissions M. Vojta et al. 10.5194/gmd-15-8295-2022
14. Effects of extreme meteorological conditions in 2018 on European methane emissions estimated using atmospheric inversions R. Thompson et al. 10.1098/rsta.2020.0443
15. Source–receptor matrix calculation for deposited mass with the Lagrangian particle dispersion model FLEXPART v10.2 in backward mode S. Eckhardt et al. 10.5194/gmd-10-4605-2017
16. Regional CO<sub>2</sub> inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
17. Changes in black carbon emissions over Europe due to COVID-19 lockdowns N. Evangeliou et al. 10.5194/acp-21-2675-2021
18. Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.chemolab.2015.09.006
19. Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
20. Investigation of Volcanic Emissions in the Mediterranean: “The Etna–Antikythera Connection” A. Kampouri et al. 10.3390/atmos12010040
21. Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al. 10.1007/s10661-022-10323-1
22. The Lagrangian particle dispersion model FLEXPART version 10.4 I. Pisso et al. 10.5194/gmd-12-4955-2019
23. Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. 10.5194/acp-23-6457-2023
24. Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
25. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
26. Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data C. Groot Zwaaftink et al. 10.5194/gmd-11-4469-2018
27. Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
28. Top-down estimates of black carbon emissions at high latitudes using an atmospheric transport model and a Bayesian inversion framework N. Evangeliou et al. 10.5194/acp-18-15307-2018
29. A Sensitivity Study of a Bayesian Inversion Model Used to Estimate Emissions of Synthetic Greenhouse Gases at the European Scale S. Annadate et al. 10.3390/atmos15010051
30. A global re-analysis of regionally resolved emissions and atmospheric mole fractions of SF6 for the period 2005–2021 M. Vojta et al. 10.5194/acp-24-12465-2024
31. The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
32. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
33. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
34. The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
35. Emissions of Tetrafluoromethane (CF4) and Hexafluoroethane (C2F6) From East Asia: 2008 to 2019 J. Kim et al. 10.1029/2021JD034888
36. FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
37. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
38. High-Resolution Bayesian Inversion of Carbon Dioxide Flux Over Peninsular India S. Sijikumar et al. 10.1016/j.atmosenv.2023.119868
39. A rise in HFC-23 emissions from eastern Asia since 2015 H. Park et al. 10.5194/acp-23-9401-2023
40. Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.spasta.2016.06.005
41. 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
42. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion R. Thompson et al. 10.5194/acp-17-3553-2017
43. Black Carbon Emission Reduction Due to COVID‐19 Lockdown in China M. Jia et al. 10.1029/2021GL093243
44. Revealing the significant acceleration of hydrofluorocarbon (HFC) emissions in eastern Asia through long-term atmospheric observations H. Choi et al. 10.5194/acp-24-7309-2024
45. Atmospheric observations show accurate reporting and little growth in India’s methane emissions A. Ganesan et al. 10.1038/s41467-017-00994-7
46. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
47. Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. 10.5194/gmd-9-3933-2016
48. Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations R. Thompson et al. 10.1098/rstb.2019.0512
49. Reduced-cost construction of Jacobian matrices for high-resolution inversions of satellite observations of atmospheric composition H. Nesser et al. 10.5194/amt-14-5521-2021
50. Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes M. Tenkanen et al. 10.3390/rs13245059
51. Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the three-year Action Plan on defending the blue sky M. Jia et al. 10.1016/j.jenvman.2023.117735