135 citations as recorded by crossref.

1. Differential column measurements using compact solar-tracking spectrometers J. Chen et al. 10.5194/acp-16-8479-2016
2. 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
3. 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
4. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
5. 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
6. 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
7. 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
8. 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
9. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
10. Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. 10.5572/KOSAE.2022.38.6.933
11. The BErkeley Atmospheric CO<sub>2</sub> Observation Network: initial evaluation A. Shusterman et al. 10.5194/acp-16-13449-2016
12. 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
13. Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
14. La surveillance des émissions anthropiques de CO2 depuis l’espace : un enjeu géopolitique émergent G. Broquet & F. Chevallier 10.4000/12de3
15. 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
16. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
17. 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
18. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
19. Worldwide Evaluation of CAMS-EGG4 CO2 Data Re-Analysis at the Surface Level D. Custódio et al. 10.3390/toxics10060331
20. Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
21. 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
22. 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
23. Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities? D. Mallia et al. 10.1029/2023JD038686
24. 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
25. Accounting for urban biogenic fluxes in regional carbon budgets B. Hardiman et al. 10.1016/j.scitotenv.2017.03.028
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. Evaluation and environmental correction of ambient CO<sub>2</sub> measurements from a low-cost NDIR sensor C. Martin et al. 10.5194/amt-10-2383-2017
33. 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
34. 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
35. 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
36. Optimizing the Spatial Resolution for Urban CO2 Flux Studies Using the Shannon Entropy J. Liang et al. 10.3390/atmos8050090
37. 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
38. 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
39. Greenlite™: a year of carbon dioxide monitoring over paris, france, and recent progress in monitoring methane J. Dobler et al. 10.1051/epjconf/201817605013
40. Constraining Urban CO2 Emissions Using Mobile Observations from a Light Rail Public Transit Platform D. Mallia et al. 10.1021/acs.est.0c04388
41. 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
42. MUCCnet: Munich Urban Carbon Column network F. Dietrich et al. 10.5194/amt-14-1111-2021
43. 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
44. 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
45. Statistical characterization of urban CO2 emission signals observed by commercial airliner measurements T. Umezawa et al. 10.1038/s41598-020-64769-9
46. 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
47. VCSEL-Based Atmospheric Trace Gas Sensor Using First Harmonic Detection L. Lan et al. 10.1109/JSEN.2019.2901793
48. Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. 10.1029/2018JD029576
49. 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
50. 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
51. 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
52. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
53. 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
54. An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
55. 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
56. Self-Calibrated Multiharmonic CO2 Sensor Using VCSEL for Urban In Situ Measurement L. Lan et al. 10.1109/TIM.2018.2863445
57. 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
58. 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
59. New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
60. 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
61. Spatiotemporal patterns of the fossil-fuel CO<sub>2</sub> signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. 10.5194/acp-17-14145-2017
62. Spatial Configuration of Energy Consumption and Carbon Emissions of Shanghai, and Our Policy Suggestions K. Pan et al. 10.3390/su9010104
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
71. 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
72. 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
73. 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
74. 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
75. Quantification of fossil fuel CO2 from combined CO, δ13CO2 and Δ14CO2 observations J. Kim et al. 10.5194/acp-23-14425-2023
76. 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
77. 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
78. Anthropogenic and biogenic CO 2 fluxes in the Boston urban region M. Sargent et al. 10.1073/pnas.1803715115
79. Network design for quantifying urban CO<sub>2</sub> emissions: assessing trade-offs between precision and network density A. Turner et al. 10.5194/acp-16-13465-2016
80. 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
81. 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
82. 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
83. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
84. Cross-Inventory Uncertainty Analysis of Fossil Fuel CO2 Emissions for Prefecture-Level Cities in Shandong Province M. Tao et al. 10.3390/atmos13091474
85. 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
86. 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
87. Estimating vehicle carbon dioxide emissions from Boulder, Colorado, using horizontal path-integrated column measurements E. Waxman et al. 10.5194/acp-19-4177-2019
88. Exploration of the impact of nearby sources on urban atmospheric inversions using large eddy simulation B. Gaudet et al. 10.1525/elementa.247
89. Toward Accurate, Policy-Relevant Fossil Fuel CO2 Emission Landscapes K. Gurney et al. 10.1021/acs.est.0c01175
90. Bias correction of long-path CO<sub>2</sub> 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
91. 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
92. 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
93. 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
94. 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
95. A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. 10.3390/atmos15101193
96. 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
97. High-resolution quantification of atmospheric CO<sub>2</sub> mixing ratios in the Greater Toronto Area, Canada S. Pugliese et al. 10.5194/acp-18-3387-2018
98. Exploiting stagnant conditions to derive robust emission ratio estimates for CO<sub>2</sub>, CO and volatile organic compounds in Paris L. Ammoura et al. 10.5194/acp-16-15653-2016
99. 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
100. 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
101. The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
102. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
103. Observation of column-averaged molar mixing ratios of carbon dioxide in Tokyo X. Qin et al. 10.1016/j.aeaoa.2019.100022
104. The first 1-year-long estimate of the Paris region fossil fuel CO<sub>2</sub> emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
105. Assessment of Urban CO2 Measurement and Source Attribution in Munich Based on TDLAS-WMS and Trajectory Analysis L. Lan et al. 10.3390/atmos11010058
106. 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
107. 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
108. 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
109. Observing local CO<sub>2</sub> sources using low-cost, near-surface urban monitors A. Shusterman et al. 10.5194/acp-18-13773-2018
110. Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
111. 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
112. 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
113. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
114. 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
115. 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
116. A Comparative Analysis of Anthropogenic CO2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective P. Fu et al. 10.1029/2019EF001282
117. The Indianapolis Flux Experiment (INFLUX): A test-bed for developing urban greenhouse gas emission measurements K. Davis et al. 10.1525/elementa.188
118. 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
119. 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
120. 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
121. Source Sector Attribution of CO2 Emissions Using an Urban CO/CO2 Bayesian Inversion System B. Nathan et al. 10.1029/2018JD029231
122. 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
123. 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
124. 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
125. 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
126. 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
127. 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
128. Assessment of urban CO2 budget: Anthropogenic and biogenic inputs Y. Bezyk et al. 10.1016/j.uclim.2021.100949
129. 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
130. 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
131. 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
132. 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
133. 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
134. Atmospheric measurements of ratios between CO<sub>2</sub> and co-emitted species from traffic: a tunnel study in the Paris megacity L. Ammoura et al. 10.5194/acp-14-12871-2014
135. What is the role for carbon cycle science in the proposed EPA power plant rule? K. Gurney 10.1186/s40322-015-0028-1