46 citations as recorded by crossref.

1. Local Anomalies in the Column‐Averaged Dry Air Mole Fractions of Carbon Dioxide Across the Globe During the First Months of the Coronavirus Recession F. Chevallier et al. 10.1029/2020GL090244
2. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al. 10.1021/acs.est.0c04388
3. CO2 and Carbon Emissions from Cities: Linkages to Air Quality, Socioeconomic Activity, and Stakeholders in the Salt Lake City Urban Area J. Lin et al. 10.1175/BAMS-D-17-0037.1
4. Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations M. Fischer et al. 10.1002/2016JD025617
5. 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
6. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
7. Evaluation and environmental correction of ambient CO2 measurements from a low-cost NDIR sensor C. Martin et al. 10.5194/amt-10-2383-2017
8. Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
9. Integrated urban services: Experience from four cities on different continents A. Baklanov et al. 10.1016/j.uclim.2020.100610
10. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability Y. Yin et al. 10.1088/1748-9326/ab2dd7
11. Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
12. Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space? M. Rißmann et al. 10.5194/amt-15-6605-2022
13. 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
14. Development of a regional carbon assimilation system and its application for estimating fossil fuel carbon emissions in the Yangtze River Delta, China Z. Zhang et al. 10.1016/j.scitotenv.2024.177720
15. The first 1-year-long estimate of the Paris region fossil fuel CO2 emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
16. Characterization of a commercial lower-cost medium-precision non-dispersive infrared sensor for atmospheric CO2 monitoring in urban areas E. Arzoumanian et al. 10.5194/amt-12-2665-2019
17. 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
18. 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
19. Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald 10.5194/gmd-17-1885-2024
20. Bayesian Optimization of the Community Land Model Simulated Biosphere–Atmosphere Exchange using CO2 Observations from a Dense Tower Network and Aircraft Campaigns over Oregon A. Schmidt et al. 10.1175/EI-D-16-0011.1
21. 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
22. Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
23. A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction D. Cui et al. 10.1016/j.engappai.2025.110366
24. Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris J. Lian et al. 10.5194/amt-17-5821-2024
25. Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling S. Takele Kenea et al. 10.1016/j.atmosenv.2024.120471
26. Estimates of CO2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
27. Estimates of Anthropogenic CO2 Emissions for Moscow and St. Petersburg Based on OCO-2 Satellite Measurements Y. Timofeev et al. 10.1134/S1024856020060238
28. The BErkeley Atmospheric CO2 Observation Network: initial evaluation A. Shusterman et al. 10.5194/acp-16-13449-2016
29. Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO2 Emissions at the Urban Scale in Four U.S. Urban Areas K. Gurney et al. 10.1029/2018JD028859
30. 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
31. Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al. 10.1016/j.apr.2024.102281
32. Optimal design of surface CO2 observation network to constrain China’s land carbon sink Y. Wang et al. 10.1016/j.scib.2023.07.010
33. Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al. 10.1016/j.envres.2024.120169
34. 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
35. Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
36. Analysis of temporal and spatial variability of atmospheric CO2 concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. 10.5194/acp-19-13809-2019
37. Network design for quantifying urban CO2 emissions: assessing trade-offs between precision and network density A. Turner et al. 10.5194/acp-16-13465-2016
38. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
39. 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
40. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
41. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO2 concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021
42. Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG X. Zhao et al. 10.5194/acp-19-11279-2019
43. Diurnal, synoptic and seasonal variability of atmospheric CO2 in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
44. A city-level comparison of fossil-fuel and industry processes-induced CO2 emissions over the Beijing-Tianjin-Hebei region from eight emission inventories P. Han et al. 10.1186/s13021-020-00163-2
45. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
46. Analysis of the potential of near-ground measurements of CO2 and CH4 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