73 citations as recorded by crossref.

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2. Determining the influence of meteorological, environmental, and anthropogenic activity variables on the atmospheric CO2 concentration in the arid and semi-arid regions: A case study in the Middle East S. Mousavi et al. 10.1016/j.atmosres.2025.108009
3. Comparing a global high-resolution downscaled fossil fuel CO2 emission dataset to local inventory-based estimates over 14 global cities J. Chen et al. 10.1186/s13021-020-00146-3
4. Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
5. An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO2 Retrievals D. Roten et al. 10.1029/2020EA001343
6. 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
7. A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
8. Estimation of Anthropogenic Carbon Dioxide Emissions in China: Remote Sensing with Generalized Regression Neural Network and Partition Modeling Strategy C. Chen et al. 10.3390/atmos16060631
9. Assessing China's Scope 2 CO2 emissions and mitigation pace from space G. Pan & Y. Xu 10.1016/j.atmosenv.2023.119906
10. 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
11. Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar X. Zhang et al. 10.5194/acp-25-6725-2025
12. Transition towards urban system integration and benchmarking of an urban area to accelerate mitigation towards net-zero targets Ş. Kılkış 10.1016/j.energy.2021.121394
13. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
14. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
15. Constraining Sector‐Specific CO2 Fluxes Using Space‐Based XCO2 Observations Over the Los Angeles Basin D. Roten et al. 10.1029/2023GL104376
16. Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns L. da Costa et al. 10.1016/j.asr.2024.01.016
17. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
18. Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements K. Che et al. 10.1088/1748-9326/ac7477
19. An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
20. Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework T. Jones et al. 10.5194/acp-21-13131-2021
21. Data reduction for inverse modeling: an adaptive approach v1.0 X. Liu et al. 10.5194/gmd-14-4683-2021
22. Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
23. Socio-economic determinants of environmental degradation: empirical evidence for the environmental Kuznets Curve Ö. Gültekin et al. 10.18559/ebr.2023.3.797
24. Methods, Progress and Challenges in Global Monitoring of Carbon Emissions from Biomass Combustion G. Qu et al. 10.3390/atmos15101247
25. Decreased Anthropogenic CO2 Emissions during the COVID-19 Pandemic Estimated from FTS and MAX-DOAS Measurements at Urban Beijing Z. Cai et al. 10.3390/rs13030517
26. Dairy Methane Emissions in California's San Joaquin Valley Inferred With Ground‐Based Remote Sensing Observations in the Summer and Winter S. Heerah et al. 10.1029/2021JD034785
27. Detection of Chinese Spring Festival in Beijing using in-situ CO2 observations and atmospheric inversion Z. Liu et al. 10.1016/j.atmosenv.2024.120446
28. EKONOMİK ÖZGÜRLÜK VE DEMOKRASİNİN GELİR EŞİTSİZLİĞİ ÜZERİNE ETKİSİ: GELİŞMEKTE OLAN BAZI ÜLKELER ÜZERİNE BİR ARAŞTIRMA Ö. Gültekin 10.26468/trakyasobed.1517464
29. A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al. 10.1016/j.jclepro.2025.146089
30. A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
31. Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China X. Hu et al. 10.1029/2020JD033538
32. A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
33. Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity M. Kiel et al. 10.1016/j.rse.2021.112314
34. Research on regional carbon emission scenario simulation based on GA-BP-KDE under uncertain conditions K. Pan et al. 10.1016/j.apr.2024.102375
35. Insights into transportation CO2 emissions with big data and artificial intelligence Z. Luo et al. 10.1016/j.patter.2025.101186
36. Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina 10.3390/rs12213494
37. Tracking Carbon Dioxide with Lagrangian Transport Simulations: Case Study of Canadian Forest Fires in May 2021 Y. Liao et al. 10.3390/atmos15040429
38. Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
39. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
40. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
41. Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort 10.1029/2022JD037452
42. Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO2 Emissions S. Jeong et al. 10.1021/acs.est.4c09395
43. Fossil fuel CO2 emissions over metropolitan areas from space: A multi-model analysis of OCO-2 data over Lahore, Pakistan R. Lei et al. 10.1016/j.rse.2021.112625
44. “Urban Respiration” Revealed by Atmospheric O2 Measurements in an Industrial Metropolis X. Liu et al. 10.1021/acs.est.2c07583
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. Optimal selection of satellite XCO2 images for urban CO2 emission monitoring A. Danjou et al. 10.5194/amt-18-533-2025
47. Space-based quantification of per capita CO2 emissions from cities D. Wu et al. 10.1088/1748-9326/ab68eb
48. Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations M. Sheng et al. 10.1016/j.rse.2024.114515
49. Drivers of atmospheric CO2 concentration in southeast Brazil: Insights from land use change, vegetation, and climate factors L. da Costa et al. 10.1016/j.rsase.2025.101614
50. Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal M. Li et al. 10.1021/acs.est.3c09250
51. Assessment of the regional fossil fuel CO2 distribution through Δ14C patterns in ipê leaves: The case of Rio de Janeiro state, Brazil G. Santos et al. 10.1016/j.cacint.2019.06.001
52. The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. 10.1016/j.jenvman.2020.111423
53. A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
54. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
55. 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
56. Toward a satellite-based monitoring system for urban CO2 emissions in support of global collective climate mitigation actions T. Wilmot et al. 10.1088/1748-9326/ad6017
57. Estimating global anthropogenic carbon dioxide emissions using satellite observations and machine learning methods F. Mustafa & M. Xu 10.1016/j.atmosenv.2025.121423
58. 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
59. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
60. Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
61. Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. 10.1016/j.egyr.2023.04.047
62. CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements N. Taquet et al. 10.5194/acp-24-11823-2024
63. 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
64. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
65. Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
66. Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia Detected by Satellite Observations of GOSAT and TROPOMI H. Song et al. 10.3390/rs15133389
67. Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
68. FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived XCH4 Observations Y. Huang et al. 10.1109/JSTARS.2024.3490896
69. Using Space‐Based CO2 and NO2 Observations to Estimate Urban CO2 Emissions E. Yang et al. 10.1029/2022JD037736
70. Carbon peak prediction for differentiated cities from a low-carbon perspective: Key factors, scenario analysis, and low-carbon pathways K. Pan et al. 10.1016/j.ecolind.2024.112629
71. Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2emission in Vietnam, Cambodia and Laos A. Gaughan et al. 10.1088/2515-7620/ab3d91
72. Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions L. Yao et al. 10.3390/rs16234503
73. Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model J. Hedelius et al. 10.5194/acp-18-16271-2018