83 citations as recorded by crossref.

1. CO2 dispersion modelling over Paris region within the CO2-MEGAPARIS project C. Lac et al. https://doi.org/10.5194/acp-13-4941-2013
2. Simulation of Non-Homogeneous CO2 and Its Impact on Regional Temperature in East Asia X. Xie et al. https://doi.org/10.1007/s13351-018-7159-x
3. Simulation of CO₂ Concentration over East Asia Using the Regional Transport Model WRF-CO₂ S. BALLAV et al. https://doi.org/10.2151/jmsj.2012-607
4. Simulating Net Ecosystem Exchange of China’s Three Staple Food Crops and Their Responses to Heatwaves Y. Sun et al. https://doi.org/10.3390/rs18091399
5. Simulating the integrated summertime Δ14CO2 signature from anthropogenic emissions over Western Europe D. Bozhinova et al. https://doi.org/10.5194/acp-14-7273-2014
6. Can seasonal and interannual variation in landscape CO2 fluxes be detected by atmospheric observations of CO2 concentrations made at a tall tower? T. Smallman et al. https://doi.org/10.5194/bg-11-735-2014
7. Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. https://doi.org/10.1016/j.atmosres.2017.04.027
8. A Gradient-Descent Optimization of CO2–CO–NOx Emissions over the Paris Megacity─The Case of the First SARS-CoV-2 Lockdown C. Abdallah et al. https://doi.org/10.1021/acs.est.3c00566
9. Tracking city CO2 emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. https://doi.org/10.5194/acp-16-9591-2016
10. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. https://doi.org/10.3390/atmos11080787
11. Analysis of CO2 spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. https://doi.org/10.5194/acp-21-7217-2021
12. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions S. Feng et al. https://doi.org/10.5194/acp-16-9019-2016
13. Towards better error statistics for atmospheric inversions of methane surface fluxes A. Berchet et al. https://doi.org/10.5194/acp-13-7115-2013
14. Optimization of Vegetation Photosynthesis and Respiration Model Parameters for the CO2 Flux Simulation in the Pearl River Delta B. Mai et al. https://doi.org/10.1007/s44408-025-00083-1
15. Greenhouse gas observations from Cabauw Tall Tower (1992–2010) A. Vermeulen et al. https://doi.org/10.5194/amt-4-617-2011
16. Assessing the regional surface influence through Backward Lagrangian Dispersion Models for aircraft CO2 vertical profiles observations in NE Spain A. Font et al. https://doi.org/10.5194/acp-11-1659-2011
17. Assessment of the biospheric contribution to surface atmospheric CO2 concentrations over East Asia with a regional chemical transport model X. Kou et al. https://doi.org/10.1007/s00376-014-4059-6
18. Atmospheric network requirements to detect policy-driven urban CO2 emission changes I. Albarus et al. https://doi.org/10.1088/1748-9326/ae7b5f
19. Simulation and forecasting of atmospheric CO2 using RAMS S. Moghim & H. Imani https://doi.org/10.1016/j.rsase.2022.100918
20. Modeling the Atmospheric CO2 Concentration in the Beijing Region and Assessing the Impacts of Fossil Fuel Emissions Z. Liang et al. https://doi.org/10.3390/environments12050156
21. Plant Uptake of Atmospheric Carbonyl Sulfide in Coast Redwood Forests J. Campbell et al. https://doi.org/10.1002/2016JG003703
22. Modelling CO2 weather – why horizontal resolution matters A. Agustí-Panareda et al. https://doi.org/10.5194/acp-19-7347-2019
23. Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. https://doi.org/10.3390/rs17020177
24. Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al. https://doi.org/10.5194/acp-25-13831-2025
25. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. https://doi.org/10.1007/s11356-018-2325-3
26. Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG X. Zhao et al. https://doi.org/10.5194/acp-19-11279-2019
27. The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. https://doi.org/10.5194/gmd-13-269-2020
28. Creating a comprehensive model to support greenhouse gas emission strategies: A case-study for Ireland A. Sati et al. https://doi.org/10.1016/j.jemets.2025.100020
29. WRFv3.2-SPAv2: development and validation of a coupled ecosystem–atmosphere model, scaling from surface fluxes of CO2 and energy to atmospheric profiles T. Smallman et al. https://doi.org/10.5194/gmd-6-1079-2013
30. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. https://doi.org/10.5194/acp-23-2699-2023
31. A comparison of different inverse carbon flux estimation approaches for application on a regional domain L. Tolk et al. https://doi.org/10.5194/acp-11-10349-2011
32. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. https://doi.org/10.1029/2017JD027881
33. Confronting the WRF and RAMS mesoscale models with innovative observations in the Netherlands: Evaluating the boundary layer heat budget G. Steeneveld et al. https://doi.org/10.1029/2011JD016303
34. A regional carbon data assimilation system and its preliminary evaluation in East Asia Z. Peng et al. https://doi.org/10.5194/acp-15-1087-2015
35. Development of a balloon-borne instrument for CO2 vertical profile observations in the troposphere M. Ouchi et al. https://doi.org/10.5194/amt-12-5639-2019
36. Constraining anthropogenic CO2 emissions using dense observations from OCO-3: Disentangling observed imprints over Xiamen-Zhangzhou-Quanzhou metropolitan area and challenges X. Ye et al. https://doi.org/10.1016/j.uclim.2025.102591
37. Assessing future greenhouse gas concentrations in Madrid, Spain: a dynamical downscaling approach using WRF-VPRM R. Jose et al. https://doi.org/10.1007/s11869-025-01798-1
38. Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation Z. Liu et al. https://doi.org/10.1080/10962247.2013.816642
39. Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. https://doi.org/10.1016/j.uclim.2024.101864
40. Accounting for CO2 variability over East Asia with a regional joint inversion system and its preliminary evaluation X. Kou et al. https://doi.org/10.1007/s13351-017-6149-8
41. Error characterization of CO2 vertical mixing in the atmospheric transport model WRF-VPRM R. Kretschmer et al. https://doi.org/10.5194/acp-12-2441-2012
42. Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al. https://doi.org/10.5194/bg-22-2133-2025
43. Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations W. PETERS et al. https://doi.org/10.1111/j.1365-2486.2009.02078.x
44. Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. https://doi.org/10.1038/s41598-023-42664-3
45. Parameterization of a diagnostic carbon cycle model for continental scale application D. King et al. https://doi.org/10.1016/j.rse.2011.02.024
46. North American CO2exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion S. Gourdji et al. https://doi.org/10.5194/bg-9-457-2012
47. Regional-scale evaluation of a land surface scheme from atmospheric boundary layer observations J. Noilhan et al. https://doi.org/10.1029/2010JD014671
48. Estimation of seasonal methane fluxes over a Mediterranean rice paddy area using the Radon Tracer Method (RTM) R. Curcoll et al. https://doi.org/10.5194/acp-25-6299-2025
49. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO2 concentration within and in the vicinity of Paris J. Lian et al. https://doi.org/10.5194/acp-21-10707-2021
50. Carbon dioxide exchange in an idealized valley M. Reif et al. https://doi.org/10.1016/j.envsoft.2023.105887
51. Detecting regional variability in sources and sinks of carbon dioxide: a synthesis A. Dolman et al. https://doi.org/10.5194/bg-6-1015-2009
52. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO2 mole fractions in the US Midwest L. Díaz-Isaac et al. https://doi.org/10.5194/acp-18-14813-2018
53. A WRF-Chem study of the greenhouse gas column and in situ surface mole fractions observed at Xianghe, China – Part 2: Sensitivity of carbon dioxide (CO2) simulations to critical model parameters S. Callewaert et al. https://doi.org/10.5194/acp-26-899-2026
54. On the potential of the ICOS atmospheric CO2 measurement network for estimating the biogenic CO2 budget of Europe N. Kadygrov et al. https://doi.org/10.5194/acp-15-12765-2015
55. Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. https://doi.org/10.1016/j.spasta.2016.06.005
56. Measurement report: Eight years of greenhouse gas fluxes at Saclay, France, estimated with the Radon Tracer Method C. Yver-Kwok et al. https://doi.org/10.5194/acp-25-16085-2025
57. Spatial Synergies Between Air Pollutants and CO2 in China: From Emission and Concentration Perspectives Y. Wang et al. https://doi.org/10.3390/su18104792
58. On observational and modelling strategies targeted at regional carbon exchange over continents C. Gerbig et al. https://doi.org/10.5194/bg-6-1949-2009
59. Multiple constraint analysis of regional land-surface carbon flux D. TURNER et al. https://doi.org/10.1111/j.1600-0889.2011.00525.x
60. Simulating the atmospheric CO2 concentration across the heterogeneous landscape of Denmark using a coupled atmosphere–biosphere mesoscale model system A. Lansø et al. https://doi.org/10.5194/bg-16-1505-2019
61. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. https://doi.org/10.1029/2022JD037154
62. pyVPRM: a next-generation vegetation photosynthesis and respiration model for the post-MODIS era T. Glauch et al. https://doi.org/10.5194/gmd-18-4713-2025
63. WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps V. Beck et al. https://doi.org/10.5194/acp-13-7961-2013
64. Climatic controls of interannual variability in regional carbon fluxes from top‐down and bottom‐up perspectives A. Desai et al. https://doi.org/10.1029/2009JG001122
65. Modelling regional scale surface fluxes, meteorology and CO2 mixing ratios for the Cabauw tower in the Netherlands L. Tolk et al. https://doi.org/10.5194/bg-6-2265-2009
66. Representing model uncertainty for global atmospheric CO2 flux inversions using ECMWF-IFS-46R1 J. McNorton et al. https://doi.org/10.5194/gmd-13-2297-2020
67. Evaluation of Simulated CO2 Concentrations from the CarbonTracker-Asia Model Using In-situ Observations over East Asia for 2009–2013 S. Kenea et al. https://doi.org/10.1007/s00376-019-8150-x
68. Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions A. Danjou et al. https://doi.org/10.1016/j.rse.2023.113900
69. High-Coverage Reconstruction of XCO2 Using Multisource Satellite Remote Sensing Data in Beijing–Tianjin–Hebei Region W. Wang et al. https://doi.org/10.3390/ijerph191710853
70. Bayesian inversion of urban sectoral scale anthropogenic CO 2 emissions coupled with weather research and forecasting (WRF) and stochastic time-inverted lagrangian transport (STILT) models in Chengdu-Chongqing economic circle Z. Xia et al. https://doi.org/10.1080/17583004.2026.2627657
71. Improving urban CO2 spatial distribution modelling using multi-source data E. Sun et al. https://doi.org/10.1016/j.uclim.2024.101902
72. The CO2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. https://doi.org/10.5194/acp-21-10939-2021
73. Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF‐VPRM, a Weather‐Biosphere‐Online‐Coupled Model X. Hu et al. https://doi.org/10.1029/2019MS001875
74. High‐Resolution Lagrangian Inverse Modeling of CO2 Emissions Over the Paris Region During the First 2020 Lockdown Period K. Nalini et al. https://doi.org/10.1029/2021JD036032
75. High-resolution simulations of atmospheric CO2 over complex terrain – representing the Ochsenkopf mountain tall tower D. Pillai et al. https://doi.org/10.5194/acp-11-7445-2011
76. Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. https://doi.org/10.5194/acp-22-15287-2022
77. Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America N. Bautista et al. https://doi.org/10.1071/ES24027
78. Analysis of temporal and spatial variability of atmospheric CO2 concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. https://doi.org/10.5194/acp-19-13809-2019
79. CO2 Transport, Variability, and Budget over the Southern California Air Basin Using the High-Resolution WRF-VPRM Model during the CalNex 2010 Campaign C. Park et al. https://doi.org/10.1175/JAMC-D-17-0358.1
80. Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. https://doi.org/10.1016/j.envsoft.2020.104785
81. The constraint of CO2 measurements made onboard passenger aircraft on surface–atmosphere fluxes: the impact of transport model errors in vertical mixing S. Verma et al. https://doi.org/10.5194/acp-17-5665-2017
82. Comparing Lagrangian and Eulerian models for CO2 transport – a step towards Bayesian inverse modeling using WRF/STILT-VPRM D. Pillai et al. https://doi.org/10.5194/acp-12-8979-2012
83. Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al. https://doi.org/10.1088/2752-5295/adffa7