139 citations as recorded by crossref.

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2. 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
3. Estimation of observation errors for large-scale atmospheric inversion of CO₂ emissions from fossil fuel combustion Y. Wang et al. 10.1080/16000889.2017.1325723
4. XCO2 in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. 10.5194/acp-19-3271-2019
5. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
6. Temporal variability in the sources and fluxes of CO2 in a residential area in an evergreen subtropical city L. Weissert et al. 10.1016/j.atmosenv.2016.08.044
7. 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
8. Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area K. Mueller et al. 10.1002/2017JD027364
9. A top-down estimation of subnational CO2 budget using a global high-resolution inverse model with data from regional surface networks L. Nayagam et al. 10.1088/1748-9326/ad0f74
10. 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
11. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
12. Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. 10.5572/KOSAE.2022.38.6.933
13. The BErkeley Atmospheric CO2 Observation Network: initial evaluation A. Shusterman et al. 10.5194/acp-16-13449-2016
14. 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
15. Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
16. La surveillance des émissions anthropiques de CO2 depuis l’espace : un enjeu géopolitique émergent G. Broquet & F. Chevallier 10.4000/12de3
17. 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
18. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
19. Tower-based greenhouse gas measurement network design—The National Institute of Standards and Technology North East Corridor Testbed I. Lopez-Coto et al. 10.1007/s00376-017-6094-6
20. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
21. Worldwide Evaluation of CAMS-EGG4 CO2 Data Re-Analysis at the Surface Level D. Custódio et al. 10.3390/toxics10060331
22. Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
23. Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute? L. Perugini et al. 10.1016/j.envsci.2021.04.012
24. 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
25. Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities? D. Mallia et al. 10.1029/2023JD038686
26. 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
27. Accounting for urban biogenic fluxes in regional carbon budgets B. Hardiman et al. 10.1016/j.scitotenv.2017.03.028
28. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions S. Feng et al. 10.5194/acp-16-9019-2016
29. Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT L. Kunik et al. 10.1525/elementa.375
30. 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
31. 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
32. Diurnal Course of Carbon Dioxide Mixing Ratios in the Urban Boundary Layer in Response to Surface Emissions B. Crawford et al. 10.1175/JAMC-D-15-0060.1
33. 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
34. Evaluation and environmental correction of ambient CO2 measurements from a low-cost NDIR sensor C. Martin et al. 10.5194/amt-10-2383-2017
35. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
36. Tracking city CO2 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
37. 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
38. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. 10.3390/atmos8050090
39. Diurnal, synoptic and seasonal variability of atmospheric CO2 in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
40. Optimizing a dynamic fossil fuel CO2 emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO2, CO, NOx, and SO2 I. Super et al. 10.5194/gmd-13-2695-2020
41. Greenlite™: a year of carbon dioxide monitoring over paris, france, and recent progress in monitoring methane J. Dobler et al. 10.1051/epjconf/201817605013
42. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al. 10.1021/acs.est.0c04388
43. 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
44. MUCCnet: Munich Urban Carbon Column network F. Dietrich et al. 10.5194/amt-14-1111-2021
45. The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA) K. Gurney et al. 10.5194/essd-11-1309-2019
46. 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
47. Statistical characterization of urban CO2 emission signals observed by commercial airliner measurements T. Umezawa et al. 10.1038/s41598-020-64769-9
48. 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
49. VCSEL-Based Atmospheric Trace Gas Sensor Using First Harmonic Detection L. Lan et al. 10.1109/JSEN.2019.2901793
50. Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. 10.1029/2018JD029576
51. 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
52. 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
53. 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
54. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
55. Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al. 10.5194/acp-24-10013-2024
56. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
57. A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. 10.1016/j.comcom.2021.08.003
58. Self-Calibrated Multiharmonic CO2 Sensor Using VCSEL for Urban In Situ Measurement L. Lan et al. 10.1109/TIM.2018.2863445
59. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO2 measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
60. 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
61. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
62. Reducing errors in aircraft atmospheric inversion estimates of point-source emissions: the Aliso Canyon natural gas leak as a natural tracer experiment S. Gourdji et al. 10.1088/1748-9326/aab049
63. Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. 10.5194/acp-17-14145-2017
64. Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions K. Pan et al. 10.3390/su9010104
65. On the potential of the ICOS atmospheric CO2 measurement network for estimating the biogenic CO2 budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
66. Variation Patterns of CO2 and CH4 according to the Measurements in the Surface Atmosphere over Urban and Suburban Areas in 2021–2022 K. Antonov et al. 10.3103/S1068373924050091
67. Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017 M. Andrés Hernández et al. 10.5194/acp-22-5877-2022
68. Urban high-resolution fossil fuel CO2 emissions quantification and exploration of emission drivers for potential policy applications R. Patarasuk et al. 10.1007/s11252-016-0553-1
69. 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
70. Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R) L. Guo et al. 10.1016/j.eng.2023.02.017
71. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
72. A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
73. Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region A. Karion et al. 10.5194/acp-21-6257-2021
74. Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO2 Emissions of Shanghai in China Using High-Resolution Gridded Data H. Zhu et al. 10.3390/su11174766
75. What would dense atmospheric observation networks bring to the quantification of city CO2 emissions? L. Wu et al. 10.5194/acp-16-7743-2016
76. 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
77. Quantification of fossil fuel CO2 from combined CO, δ13CO2 and Δ14CO2 observations J. Kim et al. 10.5194/acp-23-14425-2023
78. Temporal dynamics and controlling factors of CO2 and CH4 variability in the urban atmosphere of Wroclaw, Poland Y. Bezyk et al. 10.1016/j.scitotenv.2023.164771
79. 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
80. Anthropogenic and biogenic CO 2 fluxes in the Boston urban region M. Sargent et al. 10.1073/pnas.1803715115
81. 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
82. 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
83. Quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements in the dormant season: Results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1525/elementa.127
84. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. 10.5194/acp-21-14089-2021
85. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
86. Cross-Inventory Uncertainty Analysis of Fossil Fuel CO2 Emissions for Prefecture-Level Cities in Shandong Province M. Tao et al. 10.3390/atmos13091474
87. The potential of satellite spectro-imagery for monitoring CO2 emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
88. 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
89. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al. 10.5194/acp-19-4177-2019
90. Exploration of the impact of nearby sources on urban atmospheric inversions using large eddy simulation B. Gaudet et al. 10.1525/elementa.247
91. Toward Accurate, Policy-Relevant Fossil Fuel CO2 Emission Landscapes K. Gurney et al. 10.1021/acs.est.0c01175
92. Bias correction of long-path CO2 observations in a complex urban environment for carbon cycle model inter-comparison and data assimilation T. Zaccheo et al. 10.5194/amt-12-5791-2019
93. The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
94. Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
95. 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
96. Investigating sources of variability and error in simulations of carbon dioxide in an urban region C. Martin et al. 10.1016/j.atmosenv.2018.11.013
97. A comparison of CO2 emissions from the national greenhouse gases inventory report with CO2 emissions from the global inverse models and the regional WRF-Chem in the Korean Peninsula Y. Cho et al. 10.1007/s11027-024-10195-5
98. A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
99. Atmospheric boundary layer CO_2 remote sensing with a direct detection LIDAR instrument based on a widely tunable optical parametric source E. Cadiou et al. 10.1364/OL.42.004044
100. High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada S. Pugliese et al. 10.5194/acp-18-3387-2018
101. Exploiting stagnant conditions to derive robust emission ratio estimates for CO2, CO and volatile organic compounds in Paris L. Ammoura et al. 10.5194/acp-16-15653-2016
102. 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. 10.5194/acp-21-10939-2021
103. Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates K. Verhulst et al. 10.5194/acp-17-8313-2017
104. The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
105. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
106. Observation of column-averaged molar mixing ratios of carbon dioxide in Tokyo X. Qin et al. 10.1016/j.aeaoa.2019.100022
107. 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
108. Assessment of Urban CO2 Measurement and Source Attribution in Munich Based on TDLAS-WMS and Trajectory Analysis L. Lan et al. 10.3390/atmos11010058
109. 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
110. Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. 10.5194/acp-21-10015-2021
111. Long-term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth L. Mitchell et al. 10.1073/pnas.1702393115
112. Observing local CO2 sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
113. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
114. 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
115. 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
116. Estimation of fossil-fuel CO2 emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
117. Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2 C. Park et al. 10.1007/s13143-020-00202-5
118. 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
119. A Comparative Analysis of Anthropogenic CO2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective P. Fu et al. 10.1029/2019EF001282
120. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. 10.1525/elementa.188
121. 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
122. 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
123. 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
124. Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System B. Nathan et al. 10.1029/2018JD029231
125. 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
126. A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al. 10.5194/acp-25-397-2025
127. High‐resolution atmospheric inversion of urban CO2 emissions during the dormant season of the Indianapolis Flux Experiment (INFLUX) T. Lauvaux et al. 10.1002/2015JD024473
128. Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons S. Wang et al. 10.1038/s41559-019-0931-1
129. A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space Y. Wang et al. 10.5194/essd-11-687-2019
130. Interpreting continuous in-situ observations of carbon dioxide and carbon monoxide in the urban port area of Rotterdam I. Super et al. 10.1016/j.apr.2016.08.008
131. PMIF v1.0: assessing the potential of satellite observations to constrain CO2 emissions from large cities and point sources over the globe using synthetic data Y. Wang et al. 10.5194/gmd-13-5813-2020
132. Assessment of urban CO2 budget: Anthropogenic and biogenic inputs Y. Bezyk et al. 10.1016/j.uclim.2021.100949
133. GreenHouse gas Observations of the Stratosphere and Troposphere (GHOST): an airborne shortwave-infrared spectrometer for remote sensing of greenhouse gases N. Humpage et al. 10.5194/amt-11-5199-2018
134. Comparison of the genetic algorithm and incremental optimisation routines for a Bayesian inverse modelling based network design A. Nickless et al. 10.1088/1361-6420/aab46c
135. 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
136. Statistical atmospheric inversion of local gas emissions by coupling the tracer release technique and local-scale transport modelling: a test case with controlled methane emissions S. Ars et al. 10.5194/amt-10-5017-2017
137. Validation of WRF-Chem Model and CAMS Performance in Estimating Near-Surface Atmospheric CO2 Mixing Ratio in the Area of Saint Petersburg (Russia) G. Nerobelov et al. 10.3390/atmos12030387
138. Atmospheric measurements of ratios between CO2 and co-emitted species from traffic: a tunnel study in the Paris megacity L. Ammoura et al. 10.5194/acp-14-12871-2014
139. What is the role for carbon cycle science in the proposed EPA power plant rule? K. Gurney 10.1186/s40322-015-0028-1