72 citations as recorded by crossref.

1. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
2. Carbon dioxide, methane and nitrous oxide emissions from the human-impacted Seine watershed in France A. Marescaux et al. 10.1016/j.scitotenv.2018.06.151
3. Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
4. The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
5. XCO<sub>2</sub> in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. 10.5194/acp-19-3271-2019
6. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO<sub>2</sub> monitoring in urban areas E. Arzoumanian et al. 10.5194/amt-12-2665-2019
7. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
8. Direct observations of CO2 emission reductions due to COVID-19 lockdown across European urban districts G. Nicolini et al. 10.1016/j.scitotenv.2022.154662
9. The potential of satellite spectro-imagery for monitoring CO<sub>2</sub> emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
10. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
11. Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. 10.5194/amt-15-5261-2022
12. 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
13. The Utah urban carbon dioxide (UUCON) and Uintah Basin greenhouse gas networks: instrumentation, data, and measurement uncertainty R. Bares et al. 10.5194/essd-11-1291-2019
14. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al. 10.5194/acp-19-4177-2019
15. Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities? D. Mallia et al. 10.1029/2023JD038686
16. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
17. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
18. 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
19. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
20. Anthropogenic and biogenic CO 2 fluxes in the Boston urban region M. Sargent et al. 10.1073/pnas.1803715115
21. From political pledges to quantitative mapping of climate mitigation plans: Comparison of two European cities I. Albarus et al. 10.1186/s13021-023-00236-y
22. Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
23. The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO2 emissions from large cities and point sources F. Lespinas et al. 10.1186/s13021-020-00153-4
24. Quantification of oil and gas methane emissions in the Delaware and Marcellus basins using a network of continuous tower-based measurements Z. Barkley et al. 10.5194/acp-23-6127-2023
25. Can we separate industrial CH4 emission sources from atmospheric observations? - A test case for carbon isotopes, PMF and enhanced APCA S. Assan et al. 10.1016/j.atmosenv.2018.05.004
26. 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
27. Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
28. An emerging GHG estimation approach can help cities achieve their climate and sustainability goals K. Mueller et al. 10.1088/1748-9326/ac0f25
29. 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
30. Climate mitigation policies for cities must consider air quality impacts R. Commane & L. Schiferl 10.1016/j.chempr.2022.02.006
31. Potential of European <sup>14</sup>CO<sub>2</sub> observation network to estimate the fossil fuel CO<sub>2</sub> emissions via atmospheric inversions Y. Wang et al. 10.5194/acp-18-4229-2018
32. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
33. Observations of Thermally Driven Circulations in the Pyrenees: Comparison of Detection Methods and Impact on Atmospheric Composition Measured at a Mountaintop M. Hulin et al. 10.1175/JAMC-D-17-0268.1
34. Integrated urban services: Experience from four cities on different continents A. Baklanov et al. 10.1016/j.uclim.2020.100610
35. Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal and Seasonal Pattern Comparisons to Anthropogenic CO2 Emissions in the Greater Tokyo Area Q. Wang et al. 10.3390/rs13112037
36. Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
37. Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
38. Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO2 signal B. Nathan et al. 10.1525/elementa.131
39. Joint inverse estimation of fossil fuel and biogenic CO2 fluxes in an urban environment: An observing system simulation experiment to assess the impact of multiple uncertainties K. Wu et al. 10.1525/elementa.138
40. 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
41. Optimizing a dynamic fossil fuel CO<sub>2</sub> emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO<sub>2</sub>, CO, NO<sub><i>x</i></sub>, and SO<sub>2</sub> I. Super et al. 10.5194/gmd-13-2695-2020
42. Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. 10.1016/j.jes.2021.04.016
43. Analysis of atmospheric CO2 variability in the Marseille city area and the north-west Mediterranean basin at different time scales I. Xueref-Remy et al. 10.1016/j.aeaoa.2023.100208
44. Exploration of the impact of nearby sources on urban atmospheric inversions using large eddy simulation B. Gaudet et al. 10.1525/elementa.247
45. Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study A. Karion et al. 10.5194/acp-19-2561-2019
46. Source decomposition of eddy-covariance CO2 flux measurements for evaluating a high-resolution urban CO2 emissions inventory K. Wu et al. 10.1088/1748-9326/ac7c29
47. Estimates of CO<sub>2</sub> fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
48. Policy-Relevant Assessment of Urban CO2 Emissions T. Lauvaux et al. 10.1021/acs.est.0c00343
49. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability Y. Yin et al. 10.1088/1748-9326/ab2dd7
50. Assessing the Effectiveness of an Urban CO2 Monitoring Network over the Paris Region through the COVID-19 Lockdown Natural Experiment J. Lian et al. 10.1021/acs.est.1c04973
51. Wintertime CO2, CH4, and CO Emissions Estimation for the Washington, DC–Baltimore Metropolitan Area Using an Inverse Modeling Technique I. Lopez-Coto et al. 10.1021/acs.est.9b06619
52. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
53. PMIF v1.0: assessing the potential of satellite observations to constrain CO<sub>2</sub> emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
54. Development of an urban greenhouse gas modelling system to support a London monitoring network T. Hoare et al. 10.1002/wea.3795
55. Large and seasonally varying biospheric CO 2 fluxes in the Los Angeles megacity revealed by atmospheric radiocarbon J. Miller et al. 10.1073/pnas.2005253117
56. Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX) J. Turnbull et al. 10.1021/acs.est.8b05552
57. The Hestia fossil fuel CO<sub>2</sub> emissions data product for the Los Angeles megacity (Hestia-LA) K. Gurney et al. 10.5194/essd-11-1309-2019
58. Can we use atmospheric CO2 measurements to verify emission trends reported by cities? Lessons from a 6-year atmospheric inversion over Paris J. Lian et al. 10.5194/acp-23-8823-2023
59. Quantification of fossil fuel CO2 from combined CO, δ13CO2 and Δ14CO2 observations J. Kim et al. 10.5194/acp-23-14425-2023
60. Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
61. Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
62. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
63. A High-Resolution Monitoring Approach of Urban Co2 Fluxes. Part 2 - Optimisation Framework Using Eddy Covariance Observations S. Stagakis et al. 10.2139/ssrn.4172740
64. 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
65. Diurnal, synoptic and seasonal variability of atmospheric CO<sub>2</sub> in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
66. A high-resolution monitoring approach of urban CO2 fluxes. Part 2 – surface flux optimisation using eddy covariance observations S. Stagakis et al. 10.1016/j.scitotenv.2023.166035
67. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
68. Anthropogenic and natural controls on atmospheric <i>δ</i><sup>13</sup>C-CO<sub>2</sub> variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. 10.5194/acp-21-10015-2021
69. A global map of emission clumps for future monitoring of fossil fuel CO<sub>2</sub> emissions from space Y. Wang et al. 10.5194/essd-11-687-2019
70. What would dense atmospheric observation networks bring to the quantification of city CO<sub>2</sub> emissions? L. Wu et al. 10.5194/acp-16-7743-2016
71. Analysis of the potential of near-ground measurements of CO<sub>2</sub> and CH<sub>4</sub> in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model A. Boon et al. 10.5194/acp-16-6735-2016
72. The Wintertime Covariation of CO2 and Criteria Pollutants in an Urban Valley of the Western United States R. Bares et al. 10.1002/2017JD027917