65 citations as recorded by crossref.

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2. Simulation of Non-Homogeneous CO2 and Its Impact on Regional Temperature in East Asia X. Xie et al. 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. 10.2151/jmsj.2012-607
4. Simulating the integrated summertime Δ<sup>14</sup>CO<sub>2</sub> signature from anthropogenic emissions over Western Europe D. Bozhinova et al. 10.5194/acp-14-7273-2014
5. Can seasonal and interannual variation in landscape CO<sub>2</sub> fluxes be detected by atmospheric observations of CO<sub>2</sub> concentrations made at a tall tower? T. Smallman et al. 10.5194/bg-11-735-2014
6. Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. 10.1016/j.atmosres.2017.04.027
7. 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. 10.1021/acs.est.3c00566
8. Tracking city CO<sub>2</sub> emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016
9. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. 10.3390/atmos11080787
10. Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
11. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions S. Feng et al. 10.5194/acp-16-9019-2016
12. Towards better error statistics for atmospheric inversions of methane surface fluxes A. Berchet et al. 10.5194/acp-13-7115-2013
13. Assessing the regional surface influence through Backward Lagrangian Dispersion Models for aircraft CO<sub>2</sub> vertical profiles observations in NE Spain A. Font et al. 10.5194/acp-11-1659-2011
14. Assessment of the biospheric contribution to surface atmospheric CO2 concentrations over East Asia with a regional chemical transport model X. Kou et al. 10.1007/s00376-014-4059-6
15. Simulation and forecasting of atmospheric CO2 using RAMS S. Moghim & H. Imani 10.1016/j.rsase.2022.100918
16. Plant Uptake of Atmospheric Carbonyl Sulfide in Coast Redwood Forests J. Campbell et al. 10.1002/2016JG003703
17. Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
18. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
19. Analysis of total column CO<sub>2</sub> and CH<sub>4</sub> measurements in Berlin with WRF-GHG X. Zhao et al. 10.5194/acp-19-11279-2019
20. The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
21. WRFv3.2-SPAv2: development and validation of a coupled ecosystem–atmosphere model, scaling from surface fluxes of CO<sub>2</sub> and energy to atmospheric profiles T. Smallman et al. 10.5194/gmd-6-1079-2013
22. Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
23. A comparison of different inverse carbon flux estimation approaches for application on a regional domain L. Tolk et al. 10.5194/acp-11-10349-2011
24. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
25. Confronting the WRF and RAMS mesoscale models with innovative observations in the Netherlands: Evaluating the boundary layer heat budget G. Steeneveld et al. 10.1029/2011JD016303
26. A regional carbon data assimilation system and its preliminary evaluation in East Asia Z. Peng et al. 10.5194/acp-15-1087-2015
27. Development of a balloon-borne instrument for CO<sub>2</sub> vertical profile observations in the troposphere M. Ouchi et al. 10.5194/amt-12-5639-2019
28. Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation Z. Liu et al. 10.1080/10962247.2013.816642
29. Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. 10.1016/j.uclim.2024.101864
30. Accounting for CO2 variability over East Asia with a regional joint inversion system and its preliminary evaluation X. Kou et al. 10.1007/s13351-017-6149-8
31. Error characterization of CO<sub>2</sub> vertical mixing in the atmospheric transport model WRF-VPRM R. Kretschmer et al. 10.5194/acp-12-2441-2012
32. Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations W. PETERS et al. 10.1111/j.1365-2486.2009.02078.x
33. Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
34. Parameterization of a diagnostic carbon cycle model for continental scale application D. King et al. 10.1016/j.rse.2011.02.024
35. North American CO<sub>2</sub> exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion S. Gourdji et al. 10.5194/bg-9-457-2012
36. Regional-scale evaluation of a land surface scheme from atmospheric boundary layer observations J. Noilhan et al. 10.1029/2010JD014671
37. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO<sub>2</sub> concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021
38. Carbon dioxide exchange in an idealized valley M. Reif et al. 10.1016/j.envsoft.2023.105887
39. Detecting regional variability in sources and sinks of carbon dioxide: a synthesis A. Dolman et al. 10.5194/bg-6-1015-2009
40. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO<sub>2</sub> mole fractions in the US Midwest L. Díaz-Isaac et al. 10.5194/acp-18-14813-2018
41. On the potential of the ICOS atmospheric CO<sub>2</sub> measurement network for estimating the biogenic CO<sub>2</sub> budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
42. Non-Gaussian bivariate modelling with application to atmospheric trace-gas inversion A. Zammit-Mangion et al. 10.1016/j.spasta.2016.06.005
43. On observational and modelling strategies targeted at regional carbon exchange over continents C. Gerbig et al. 10.5194/bg-6-1949-2009
44. Multiple constraint analysis of regional land-surface carbon flux D. TURNER et al. 10.1111/j.1600-0889.2011.00525.x
45. Simulating the atmospheric CO<sub>2</sub> concentration across the heterogeneous landscape of Denmark using a coupled atmosphere–biosphere mesoscale model system A. Lansø et al. 10.5194/bg-16-1505-2019
46. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
47. 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. 10.5194/acp-13-7961-2013
48. Climatic controls of interannual variability in regional carbon fluxes from top‐down and bottom‐up perspectives A. Desai et al. 10.1029/2009JG001122
49. Modelling regional scale surface fluxes, meteorology and CO<sub>2</sub> mixing ratios for the Cabauw tower in the Netherlands L. Tolk et al. 10.5194/bg-6-2265-2009
50. Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
51. Evaluation of Simulated CO2 Concentrations from the CarbonTracker-Asia Model Using In-situ Observations over East Asia for 2009–2013 S. Kenea et al. 10.1007/s00376-019-8150-x
52. Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions A. Danjou et al. 10.1016/j.rse.2023.113900
53. Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies X. Li et al. 10.1029/2019JD031686
54. High-Coverage Reconstruction of XCO2 Using Multisource Satellite Remote Sensing Data in Beijing–Tianjin–Hebei Region W. Wang et al. 10.3390/ijerph191710853
55. Improving urban CO2 spatial distribution modelling using multi-source data E. Sun et al. 10.1016/j.uclim.2024.101902
56. The CO<sub>2</sub> integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling D. Ionov et al. 10.5194/acp-21-10939-2021
57. Dynamical Downscaling of CO2 in 2016 Over the Contiguous United States Using WRF‐VPRM, a Weather‐Biosphere‐Online‐Coupled Model X. Hu et al. 10.1029/2019MS001875
58. High‐Resolution Lagrangian Inverse Modeling of CO2 Emissions Over the Paris Region During the First 2020 Lockdown Period K. Nalini et al. 10.1029/2021JD036032
59. 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. 10.5194/acp-22-15287-2022
60. Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. 10.5194/acp-19-13809-2019
61. 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. 10.1175/JAMC-D-17-0358.1
62. Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
63. The constraint of CO<sub>2</sub> measurements made onboard passenger aircraft on surface–atmosphere fluxes: the impact of transport model errors in vertical mixing S. Verma et al. 10.5194/acp-17-5665-2017
64. Comparing Lagrangian and Eulerian models for CO<sub>2</sub> transport – a step towards Bayesian inverse modeling using WRF/STILT-VPRM D. Pillai et al. 10.5194/acp-12-8979-2012
65. On observational and modelling strategies targeted at regional carbon exchange over continents C. Gerbig et al. 10.5194/bgd-6-1317-2009