152 citations as recorded by crossref.

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2. Estimates of tropical bromoform emissions using an inversion method M. Ashfold et al. 10.5194/acp-14-979-2014
3. Changes in HCFC Emissions in China During 2011–2017 X. Fang et al. 10.1029/2019GL083169
4. Global emissions of refrigerants HCFC-22 and HFC-134a: Unforeseen seasonal contributions B. Xiang et al. 10.1073/pnas.1417372111
5. Top-Down Versus Bottom-Up E. Nisbet & R. Weiss 10.1126/science.1189936
6. China’s Hydrofluorocarbon Emissions for 2011–2017 Inferred from Atmospheric Measurements B. Yao et al. 10.1021/acs.estlett.9b00319
7. Perfluorocyclobutane (PFC-318, <i>c</i>-C<sub>4</sub>F<sub>8</sub>) in the global atmosphere J. Mühle et al. 10.5194/acp-19-10335-2019
8. Parameter Optimization and Automation of the FLEXPART Lagrangian Particle Dispersion Model for Atmospheric Back-trajectory Analysis J. Kim et al. 10.14191/Atmos.2013.23.1.093
9. 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
10. Vertical profiles of NO<sub>2</sub>, SO<sub>2</sub>, HONO, HCHO, CHOCHO and aerosols derived from MAX-DOAS measurements at a rural site in the central western North China Plain and their relation to emission sources and effects of regional transport Y. Wang et al. 10.5194/acp-19-5417-2019
11. Western European emission estimates of CFC-11, CFC-12 and CCl4 derived from atmospheric measurements from 2008 to 2021 A. Redington et al. 10.5194/acp-23-7383-2023
12. Simulation of variability in atmospheric carbon dioxide using a global coupled Eulerian – Lagrangian transport model Y. Koyama et al. 10.5194/gmd-4-317-2011
13. Eight-Year Estimates of Methane Emissions from Oil and Gas Operations in Western Canada Are Nearly Twice Those Reported in Inventories E. Chan et al. 10.1021/acs.est.0c04117
14. Atmospheric three-dimensional inverse modeling of regional industrial emissions and global oceanic uptake of carbon tetrachloride X. Xiao et al. 10.5194/acp-10-10421-2010
15. Increase in HFC‐134a emissions in response to the success of the Montreal Protocol A. Fortems‐Cheiney et al. 10.1002/2015JD023741
16. Source apportionment and a novel approach of estimating regional contributions to ambient PM2.5 in Haikou, China B. Liu et al. 10.1016/j.envpol.2017.01.030
17. Colossal barocaloric effect in fatty acid methyl esters D. Fu et al. 10.1039/D4TC03483J
18. Top-down estimate of surface flux in the Los Angeles Basin using a mesoscale inverse modeling technique: assessing anthropogenic emissions of CO, NO<sub>x</sub> and CO<sub>2</sub> and their impacts J. Brioude et al. 10.5194/acp-13-3661-2013
19. Significant shift of footprint patterns and pollutant source contributions: insights from observations at Shanghuang observatory, East China J. Ye et al. 10.1088/1748-9326/ad8369
20. Extraordinary halocarbon emissions initiated by the 2011 Tohoku earthquake T. Saito et al. 10.1002/2014GL062814
21. Mapping the drivers of uncertainty in atmospheric selenium deposition with global sensitivity analysis A. Feinberg et al. 10.5194/acp-20-1363-2020
22. Overview of the findings from measurements of halogenated compounds at Gosan (Jeju Island, Korea) quantifying emissions in East Asia J. Kim et al. 10.1080/1943815X.2012.696548
23. A quantitative assessment of distributions and sources of tropospheric halocarbons measured in Singapore S. Sarkar et al. 10.1016/j.scitotenv.2017.11.087
24. Analysis of atmospheric CH<sub>4</sub> in Canadian Arctic and estimation of the regional CH<sub>4</sub> fluxes M. Ishizawa et al. 10.5194/acp-19-4637-2019
25. Top-down estimate of anthropogenic emission inventories and their interannual variability in Houston using a mesoscale inverse modeling technique J. Brioude et al. 10.1029/2011JD016215
26. An adaptation of the CO<sub>2</sub> slicing technique for the Infrared Atmospheric Sounding Interferometer to obtain the height of tropospheric volcanic ash clouds I. Taylor et al. 10.5194/amt-12-3853-2019
27. Source term estimation of radioxenon released from the Fukushima Dai-ichi nuclear reactors using measured air concentrations and atmospheric transport modeling P. Eslinger et al. 10.1016/j.jenvrad.2013.10.013
28. The Lagrangian particle dispersion model FLEXPART version 10.4 I. Pisso et al. 10.5194/gmd-12-4955-2019
29. Hydrochlorofluorocarbon and hydrofluorocarbon emissions in East Asia determined by inverse modeling A. Stohl et al. 10.5194/acp-10-3545-2010
30. USA emissions estimates of CH3CHF2, CH2FCF3, CH3CF3 and CH2F2 based on in situ observations at Mace Head P. Simmonds et al. 10.1016/j.atmosenv.2015.01.010
31. Reconciling reported and unreported HFC emissions with atmospheric observations M. Lunt et al. 10.1073/pnas.1420247112
32. Abundance and sources of atmospheric halocarbons in the Eastern Mediterranean F. Schoenenberger et al. 10.5194/acp-18-4069-2018
33. A new approach to estimate pollutant emissions based on trajectory modeling and its application in the North China Plain W. Xu et al. 10.1016/j.atmosenv.2013.01.047
34. 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
35. A renewed rise in global HCFC-141b emissions between 2017–2021 L. Western et al. 10.5194/acp-22-9601-2022
36. Evaluation of the Accuracy of Spectral Calibration Light Source on Spectral Radiance Acquired by the Greenhouse-Gases Absorption Spectrometer-2 (GAS-2) S. Li et al. 10.3390/rs15102636
37. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Nanjing and a comparison to ozone monitoring instrument observations K. Chan et al. 10.5194/acp-19-10051-2019
38. Study of the footprints of short-term variation in XCO<sub>2</sub> observed by TCCON sites using NIES and FLEXPART atmospheric transport models D. Belikov et al. 10.5194/acp-17-143-2017
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41. What controls the atmospheric methane seasonal variability over India? T. Guha et al. 10.1016/j.atmosenv.2017.11.042
42. A review of bottom-up and top-down emission estimates of hydrofluorocarbons (HFCs) in different parts of the world H. Flerlage et al. 10.1016/j.chemosphere.2021.131208
43. Simulated Dust Transport in the Convective Boundary Layer G. Cornwell et al. 10.1029/2020JD033429
44. Trends of Studies on Controlled Halogenated Gases under International Conventions during 1999–2018 Using Bibliometric Analysis: A Global Perspective J. Wang et al. 10.3390/su14020806
45. A new method for the quantification of ambient particulate-matter emission fluxes S. Vratolis et al. 10.5194/acp-23-6941-2023
46. Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al. 10.5194/acp-24-10013-2024
47. Inverse modeling of the Chernobyl source term using atmospheric concentration and deposition measurements N. Evangeliou et al. 10.5194/acp-17-8805-2017
48. Inversion Approach to Validate Mercury Emissions Based on Background Air Monitoring at the High Altitude Research Station Jungfraujoch (3580 m) B. Denzler et al. 10.1021/acs.est.6b05630
49. A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations—a case study of Xuzhou, China L. Lu et al. 10.1007/s11356-019-04246-7
50. Inverse Modeling Revealed Reversed Trends in HCFC-141b Emissions for China during 2018–2020 Y. Sun et al. 10.1021/acs.est.3c04881
51. 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
52. HCFC‐22 flux estimates over East Asia by inverse modeling from hourly observations at Hateruma monitoring station T. Shirai et al. 10.1029/2009JD012858
53. Constraining Atmospheric Selenium Emissions Using Observations, Global Modeling, and Bayesian Inference A. Feinberg et al. 10.1021/acs.est.0c01408
54. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
55. Estimate Gaps of Montreal Protocol-Regulated Potent Greenhouse Gas HFC-152a Emissions in China Have Been Explained Q. Du et al. 10.1021/acs.est.3c09516
56. A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. 10.1016/j.atmosenv.2019.117013
57. Continued Emissions of the Ozone‐Depleting Substance Carbon Tetrachloride From Eastern Asia M. Lunt et al. 10.1029/2018GL079500
58. Atmospheric observations of carbon monoxide and fossil fuel CO2emissions from East Asia J. Turnbull et al. 10.1029/2011JD016691
59. Globally Scalable Approach to Estimate Net Ecosystem Exchange Based on Remote Sensing, Meteorological Data, and Direct Measurements of Eddy Covariance Sites R. Zhuravlev et al. 10.3390/rs14215529
60. Analysis on source features of halogenated gases at Shangdianzi regional atmospheric background station X. An et al. 10.1016/j.atmosenv.2012.04.042
61. Analysis and Development Enlightenment on Source Term Inversion Technology of Nuclear and Chemical Hazards C. Han et al. 10.1051/e3sconf/202021801007
62. Source term estimation in the presence of nuisance signals P. Eslinger et al. 10.1016/j.jenvrad.2019.03.022
63. Emissions of ozone‐depleting halocarbons from China M. Vollmer et al. 10.1029/2009GL038659
64. Determination of time- and height-resolved volcanic ash emissions and their use for quantitative ash dispersion modeling: the 2010 Eyjafjallajökull eruption A. Stohl et al. 10.5194/acp-11-4333-2011
65. 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
66. Interhemispheric transit time distributions and path‐dependent lifetimes constrained by measurements of SF6, CFCs, and CFC replacements M. Holzer & D. Waugh 10.1002/2015GL064172
67. Designing surface CO2 monitoring network to constrain the Indian land fluxes K. Nalini et al. 10.1016/j.atmosenv.2019.117003
68. 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. 10.1016/j.atmosenv.2024.120715
69. Emissions of climate-altering species from open vegetation fires in the Mediterranean region - A review on methods and data R. Hundal et al. 10.1016/j.scitotenv.2024.177713
70. Tracking source area of Shangdianzi station using Lagrangian particle dispersion model of FLEXPART X. An et al. 10.1002/met.1358
71. Methodology for the investigation of undeclared atmospheric releases of radionuclides: Application to recent radionuclide detections in Northern Europe from 2019 to 2022 O. Saunier et al. 10.1016/j.anucene.2023.109907
72. Regional Source Identification Using Lagrangian Stochastic Particle Dispersion and HYSPLIT Backward-Trajectory Models D. Koracin et al. 10.3155/1047-3289.61.6.660
73. Estimate of hydrochlorofluorocarbon emissions during 2011–2018 in the Yangtze River Delta, China Y. Yu et al. 10.1016/j.envpol.2022.119517
74. 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
75. Decadal O3 variability at the Mt. Cimone WMO/GAW global station (2,165 m a.s.l., Italy) and comparison with two high-mountain “reference” sites in Europe P. Cristofanelli et al. 10.1525/elementa.00042
76. 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
77. Attributed radiative forcing of air pollutants from biomass and fossil burning emissions K. Jiang et al. 10.1016/j.envpol.2022.119378
78. Regional estimation of methane emissions over the peninsular India using atmospheric inverse modelling A. Raju et al. 10.1007/s10661-022-10323-1
79. Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
80. Estimation of mercury emissions from forest fires, lakes, regional and local sources using measurements in Milwaukee and an inverse method B. de Foy et al. 10.5194/acp-12-8993-2012
81. Transport Patterns and Potential Sources of Atmospheric Pollution during the XXIV Olympic Winter Games Period Y. Zhang et al. 10.1007/s00376-022-1463-1
82. Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.spasta.2016.06.005
83. Review: Untangling the influence of air-mass history in interpreting observed atmospheric composition Z. Fleming et al. 10.1016/j.atmosres.2011.09.009
84. European Emissions of Halogenated Greenhouse Gases Inferred from Atmospheric Measurements C. Keller et al. 10.1021/es202453j
85. Hydrofluorocarbon (HFC) Emissions in China: An Inventory for 2005–2013 and Projections to 2050 X. Fang et al. 10.1021/acs.est.5b04376
86. Global and regional emissions estimates of 1,1-difluoroethane (HFC-152a, CH<sub>3</sub>CHF<sub>2</sub>) from in situ and air archive observations P. Simmonds et al. 10.5194/acp-16-365-2016
87. Inversion of long-lived trace gas emissions using combined Eulerian and Lagrangian chemical transport models M. Rigby et al. 10.5194/acp-11-9887-2011
88. Estimating UK methane and nitrous oxide emissions from 1990 to 2007 using an inversion modeling approach A. Manning et al. 10.1029/2010JD014763
89. 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
90. Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition A. Stohl et al. 10.5194/acp-12-2313-2012
91. Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution I. Katharopoulos et al. 10.1007/s10546-022-00728-3
92. Re-Evaluation of the UK’s HFC-134a Emissions Inventory Based on Atmospheric Observations D. Say et al. 10.1021/acs.est.6b03630
93. LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination O. Tichý et al. 10.5194/gmd-9-4297-2016
94. An extended Kalman-filter for regional scale inverse emission estimation D. Brunner et al. 10.5194/acp-12-3455-2012
95. Multiannual Top-Down Estimate of HFC-23 Emissions in East Asia X. Fang et al. 10.1021/es505669j
96. Large Emissions of Perfluorocarbons in East Asia Deduced from Continuous Atmospheric Measurements T. Saito et al. 10.1021/es1001488
97. Anthropogenic sources and air mass transport affect spatial and seasonal variations of ambient halocarbons in southeastern China Z. Wu et al. 10.1016/j.jes.2024.04.040
98. Sulfur hexafluoride (SF<sub>6</sub>) emissions in East Asia determined by inverse modeling X. Fang et al. 10.5194/acp-14-4779-2014
99. The large contribution of projected HFC emissions to future climate forcing G. Velders et al. 10.1073/pnas.0902817106
100. The challenge of estimating regional trace gas emissions from atmospheric observations A. Manning 10.1098/rsta.2010.0321
101. European emissions of the powerful greenhouse gases hydrofluorocarbons inferred from atmospheric measurements and their comparison with annual national reports to UNFCCC F. Graziosi et al. 10.1016/j.atmosenv.2017.03.029
102. Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.chemolab.2015.09.006
103. Estimates of European emissions of methyl chloroform using a Bayesian inversion method M. Maione et al. 10.5194/acp-14-9755-2014
104. Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin Y. Cui et al. 10.1002/2014JD023002
105. HFC-134a emissions from mobile air conditioning in China from 1995 to 2030 S. Su et al. 10.1016/j.atmosenv.2014.11.057
106. Abrupt reversal in emissions and atmospheric abundance of HCFC-133a (CF3 CH2 Cl) M. Vollmer et al. 10.1002/2015GL065846
107. FLEXINVERT: an atmospheric Bayesian inversion framework for determining surface fluxes of trace species using an optimized grid R. Thompson & A. Stohl 10.5194/gmd-7-2223-2014
108. Performance of Back-Trajectory Statistical Methods and Inverse Modeling Method in Locating Emission Sources X. Fang et al. 10.1021/acsearthspacechem.8b00062
109. Anthropogenic non-methane volatile hydrocarbons at Mt. Cimone (2165 m a.s.l., Italy): Impact of sources and transport on atmospheric composition E. Lo Vullo et al. 10.1016/j.atmosenv.2016.05.060
110. Historical and projected emissions of HCFC-22 and HFC-410A from China's room air conditioning sector Z. Wang et al. 10.1016/j.atmosenv.2016.02.029
111. Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling S. Henne et al. 10.5194/acp-16-3683-2016
112. 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
113. Measurements of HFC-134a and HCFC-22 in groundwater and unsaturated-zone air: Implications for HFCs and HCFCs as dating tracers K. Haase et al. 10.1016/j.chemgeo.2014.07.016
114. Implications of Emission Sources and Biosphere Exchange on Temporal Variations of CO2 and δ13C Using Continuous Atmospheric Measurements at Shadnagar (India) M. Pathakoti et al. 10.1029/2022JD036472
115. Establishment of HCFC-22 National–Provincial–Gridded Emission Inventories in China and the Analysis of Emission Reduction Potential J. Wu et al. 10.1021/acs.est.1c07344
116. Assumptions about footprint layer heights influence the quantification of emission sources: a case study for Cyprus I. Hüser et al. 10.5194/acp-17-10955-2017
117. HFC-152a and HFC-134a emission estimates and characterization of CFCs, CFC replacements, and other halogenated solvents measured during the 2008 ARCTAS campaign (CARB phase) over the South Coast Air Basin of California B. Barletta et al. 10.5194/acp-11-2655-2011
118. Estimate of anthropogenic halocarbon emission based on measured ratio relative to CO in the Pearl River Delta region, China M. Shao et al. 10.5194/acp-11-5011-2011
119. A review of sea-spray aerosol source functions using a large global set of sea salt aerosol concentration measurements H. Grythe et al. 10.5194/acp-14-1277-2014
120. Estimation of direct emissions and atmospheric processing of reactive mercury using inverse modeling B. de Foy et al. 10.1016/j.atmosenv.2013.11.070
121. European emissions of HCFC-22 based on eleven years of high frequency atmospheric measurements and a Bayesian inversion method F. Graziosi et al. 10.1016/j.atmosenv.2015.04.042
122. Application of direct regularization techniques and bounded–variable least squares for inverse modeling of an urban emissions inventory A. Vanoye & A. Mendoza 10.5094/APR.2014.027
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124. Estimating emissions of HCFC-22 and CFC-11 in China by atmospheric observations and inverse modeling X. An et al. 10.1007/s11426-012-4624-8
125. Estimates of major anthropogenic halocarbon emissions from China based on interspecies correlations X. Fang et al. 10.1016/j.atmosenv.2012.08.010
126. Surface-to-mountaintop transport characterised by radon observations at the Jungfraujoch A. Griffiths et al. 10.5194/acp-14-12763-2014
127. Atmospheric inverse modeling via sparse reconstruction N. Hase et al. 10.5194/gmd-10-3695-2017
128. Leakage Rates of Refrigerants CFC-12, HCFC-22, and HFC-134a from Operating Mobile Air Conditioning Systems in Guangzhou, China: Tests inside a Busy Urban Tunnel under Hot and Humid Weather Conditions Y. Zhang et al. 10.1021/acs.estlett.7b00445
129. 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
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131. Estimated HCFC-22 emissions for 1990–2050 in China and the increasing contribution to global emissions Z. Li et al. 10.1016/j.atmosenv.2016.02.038
132. Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017 O. Tichý et al. 10.5194/amt-14-803-2021
133. Effectiveness of surface monitoring stations in representing regional CO<sub>2 emissions over India Y. Tiwari et al. 10.3354/cr01149
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135. Using Bayesian optimization method and FLEXPART tracer model to evaluate CO emission in East China in springtime X. Pan et al. 10.1007/s11356-013-2317-2
136. Estimating sources of elemental and organic carbon and their temporal emission patterns using a least squares inverse model and hourly measurements from the St. Louis–Midwest supersite B. de Foy et al. 10.5194/acp-15-2405-2015
137. U.S. emissions of HFC‐134a derived for 2008–2012 from an extensive flask‐air sampling network L. Hu et al. 10.1002/2014JD022617
138. Lagrangian dust model simulations for a case of moist convective dust emission and transport in the western Sahara region during Fennec/LADUNEX H. Sodemann et al. 10.1002/2015JD023283
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142. 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
143. Unexplained high and persistent methyl bromide emissions in China X. Hu et al. 10.1038/s41467-024-53188-3
144. Top-down estimates of benzene and toluene emissions in the Pearl River Delta and Hong Kong, China X. Fang et al. 10.5194/acp-16-3369-2016
145. Optimal Control for Smokescreen Release Based on Numerical Simulation: Challenges and Theoretical Framework C. Cui et al. 10.4236/aces.2015.52017
146. Increase in CFC-11 emissions from eastern China based on atmospheric observations M. Rigby et al. 10.1038/s41586-019-1193-4
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148. Detection of Atmospheric Hydrofluorocarbon-22 with Ground-Based Remote High-Resolution Fourier Transform Spectroscopy over Hefei and an Estimation of Emissions in the Yangtze River Delta X. Zeng et al. 10.3390/rs15235590
149. Emissions of HCFC-22 and HCFC-142b in China during 2018–2021 Inferred from Inverse Modeling Y. Sun et al. 10.1021/acs.est.4c02169
150. Influence of monsoons on atmospheric CO2 spatial variability and ground-based monitoring over India Y. Tiwari et al. 10.1016/j.scitotenv.2014.05.045
151. Airborne estimation of SO2 emissions rates from a coal-fired power plant using two top-down methods: A mass balance model and Gaussian footprint approach J. Kim et al. 10.1016/j.scitotenv.2022.158826
152. Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model L. Guo et al. 10.3390/atmos9110428